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BACKGROUND: Lung ultrasonography (LUS) is a non-invasive imaging method used to diagnose and monitor conditions such as pulmonary edema, pneumonia, and pneumothorax. It is precious where other imaging techniques like CT scan or chest X-rays are of limited access, especially in low- and middle-income countries with reduced resources. Furthermore, LUS reduces radiation exposure and its related blood cancer adverse events, which is particularly relevant in children and young subjects. The score obtained with LUS allows semi-quantification of regional loss of aeration, and it can provide a valuable and reliable assessment of the severity of most respiratory diseases. However, inter-observer reliability of the score has never been systematically assessed. This study aims to assess experienced LUS operators' agreement on a sample of video clips showing predefined findings. METHODS: Twenty-five anonymized video clips comprehensively depicting the different values of LUS score were shown to renowned LUS experts blinded to patients' clinical data and the study's aims using an online form. Clips were acquired from five different ultrasound machines. Fleiss-Cohen weighted kappa was used to evaluate experts' agreement. RESULTS: Over a period of 3 months, 20 experienced operators completed the assessment. Most worked in the ICU (10), ED (6), HDU (2), cardiology ward (1), or obstetric/gynecology department (1). The proportional LUS score mean was 15.3 (SD 1.6). Inter-rater agreement varied: 6 clips had full agreement, 3 had 19 out of 20 raters agreeing, and 3 had 18 agreeing, while the remaining 13 had 17 or fewer people agreeing on the assigned score. Scores 0 and score 3 were more reproducible than scores 1 and 2. Fleiss' Kappa for overall answers was 0.87 (95% CI 0.815-0.931, p < 0.001). CONCLUSIONS: The inter-rater agreement between experienced LUS operators is very high, although not perfect. The strong agreement and the small variance enable us to say that a 20% tolerance around a measured value of a LUS score is a reliable estimate of the patient's true LUS score, resulting in reduced variability in score interpretation and greater confidence in its clinical use.
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In critically ill patients with acute respiratory failure, thoracic images are essential for evaluating the nature, extent and progression of the disease, and for clinical management decisions. For this purpose, computed tomography (CT) is the gold standard. However, transporting patients to the radiology suite and exposure to ionized radiation limit its use. Furthermore, a CT scan is a static diagnostic exam for the thorax, not allowing, for example, appreciation of "lung sliding". Its use is also unsuitable when it is necessary to adapt or decide to modify mechanical ventilation parameters at the bedside in real-time. Therefore, chest X-ray and lung ultrasound are today's contenders for shared second place on the podium to acquire a thoracic image, with their specific strengths and limitations. Finally, electrical impedance tomography (EIT) could soon have a role, however, its assessment is outside the scope of this review. Thus, we aim to carry out the following points: (1) analyze the advancement in knowledge of lung ultrasound use and the related main protocols adopted in intensive care units (ICUs) over the latest 30 years, reporting the principal publications along the way, (2) discuss how and when lung ultrasound should be used in a modern ICU and (3) illustrate the possible future development of LUS.
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BACKGROUND: Diaphragmatic dysfunction is a major factor responsible for weaning failure in patients that underwent prolonged invasive mechanical ventilation for acute severe respiratory failure from COVID-19. This study hypothesizes that ultrasound measured diaphragmatic thickening fraction (DTF) could provide corroborating information for weaning COVID-19 patients from mechanical ventilation. METHODS: This was an observational, pragmatic, cross-section, multicenter study in 6 Italian intensive care units. DTF was assessed in COVID-19 patients undergoing weaning from mechanical ventilation from 1st March 2020 to 30th June 2021. Primary aim was to evaluate whether DTF is a predictive factor for weaning failure. RESULTS: Fifty-seven patients were enrolled, 25 patients failed spontaneous breathing trial (44%). Median length of invasive ventilation was 14 days (IQR 7-22). Median DTF within 24 h since the start of weaning was 28% (IQR 22-39%), RASS score (- 2 vs - 2; p = 0.031); Kelly-Matthay score (2 vs 1; p = 0.002); inspiratory oxygen fraction (0.45 vs 0.40; p = 0.033). PaO2/FiO2 ratio was lower (176 vs 241; p = 0.032) and length of intensive care stay was longer (27 vs 16.5 days; p = 0.025) in patients who failed weaning. The generalized linear regression model did not select any variables that could predict weaning failure. DTF was correlated with pH (RR 1.56 × 1027; p = 0.002); Kelly-Matthay score (RR 353; p < 0.001); RASS (RR 2.11; p = 0.003); PaO2/FiO2 ratio (RR 1.03; p = 0.05); SAPS2 (RR 0.71; p = 0.005); hospital and ICU length of stay (RR 1.22 and 0.79, respectively; p < 0.001 and p = 0.004). CONCLUSIONS: DTF in COVID-19 patients was not predictive of weaning failure from mechanical ventilation, and larger studies are needed to evaluate it in clinical practice further. Registered: ClinicalTrial.gov (NCT05019313, 24 August 2021).
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COVID-19 , Respiração Artificial , Diafragma/diagnóstico por imagem , Humanos , Unidades de Terapia Intensiva , Desmame do RespiradorRESUMO
PURPOSE: The goal of this survey was to describe the use and diffusion of lung ultrasound (LUS), the level of training received before and during the COVID-19 pandemic, and the clinical impact LUS has had on COVID-19 cases in intensive care units (ICU) from February 2020 to May 2020. MATERIALS AND METHODS: The Italian Lung Ultrasound Survey (ITALUS) was a nationwide online survey proposed to Italian anesthesiologists and intensive care physicians carried out after the first wave of the COVID-19 pandemic. It consisted of 27 questions, both quantitative and qualitative. RESULTS: 807 responded to the survey. The median previous LUS experience was 3 years (IQR 1.0-6.0). 473 (60.9â%) reported having attended at least one training course on LUS before the COVID-19 pandemic. 519 (73.9â%) reported knowing how to use the LUS score. 404 (52â%) reported being able to use LUS without any supervision. 479 (68.2â%) said that LUS influenced their clinical decision-making, mostly with respect to patient monitoring. During the pandemic, the median of patients daily evaluated with LUS increased 3-fold (pâ<â0.001), daily use of general LUS increased from 10.4â% to 28.9â% (pâ<â0.001), and the daily use of LUS score in particular increased from 1.6â% to 9.0â% (pâ<â0.001). CONCLUSION: This survey showed that LUS was already extensively used during the first wave of the COVID-19 pandemic by anesthesiologists and intensive care physicians in Italy, and then its adoption increased further. Residency programs are already progressively implementing LUS teaching. However, 76.7â% of the sample did not undertake any LUS certification.
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Analgesia , Anestesia , COVID-19 , Cuidados Críticos , Humanos , Pulmão/diagnóstico por imagem , Pandemias , Ultrassonografia/métodosRESUMO
BACKGROUND: Hip fracture is one of the most common orthopedic causes of hospital admission in frail elderly patients. Hip fracture fixation in this class of patients is considered a high-risk procedure. Preoperative physical examination, plasma natriuretic peptide levels (BNP, Pro-BNP), and cardiovascular scoring systems (ASA-PS, RCRI, NSQIP-MICA) have all been demonstrated to underestimate the risk of postoperative complications. We designed a prospective multicenter observational study to assess whether preoperative lung ultrasound examination can predict better postoperative events thanks to the additional information they provide in the form of "indirect" and "direct" cardiac and pulmonary lung ultrasound signs. METHODS: LUSHIP is an Italian multicenter prospective observational study. Patients will be recruited on a nation-wide scale in the 12 participating centers. Patients aged > 65 years undergoing spinal anesthesia for hip fracture fixation will be enrolled. A lung ultrasound score (LUS) will be generated based on the examination of six areas of each lung and ascribing to each area one of the four recognized aeration patterns-each of which is assigned a subscore of 0, 1, 2, or 3. Thus, the total score will have the potential to range from a minimum of 0 to a maximum of 36. The association between 30-day postoperative complications of cardiac and/or pulmonary origin and the overall mortality will be studied. Considering the fact that cardiac complications in patients undergoing hip surgery occur in approx. 30% of cases, to achieve 80% statistical power, we will need a sample size of 877 patients considering a relative risk of 1.5. CONCLUSIONS: Lung ultrasound (LU), as a tool within the anesthesiologist's armamentarium, is becoming increasingly widespread, and its use in the preoperative setting is also starting to become more common. Should the study demonstrate the ability of LU to predict postoperative cardiac and pulmonary complications in hip fracture patients, a randomized clinical trial will be designed with the scope of improving patient outcome. Trial registration ClinicalTrials.gov, NCT04074876. Registered on August 30, 2019.
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PURPOSE: To analyze the application of a lung ultrasound (LUS)-based diagnostic approach to patients suspected of COVID-19, combining the LUS likelihood of COVID-19 pneumonia with patient's symptoms and clinical history. METHODS: This is an international multicenter observational study in 20 US and European hospitals. Patients suspected of COVID-19 were tested with reverse transcription-polymerase chain reaction (RT-PCR) swab test and had an LUS examination. We identified three clinical phenotypes based on pre-existing chronic diseases (mixed phenotype), and on the presence (severe phenotype) or absence (mild phenotype) of signs and/or symptoms of respiratory failure at presentation. We defined the LUS likelihood of COVID-19 pneumonia according to four different patterns: high (HighLUS), intermediate (IntLUS), alternative (AltLUS), and low (LowLUS) probability. The combination of patterns and phenotypes with RT-PCR results was described and analyzed. RESULTS: We studied 1462 patients, classified in mild (n = 400), severe (n = 727), and mixed (n = 335) phenotypes. HighLUS and IntLUS showed an overall sensitivity of 90.2% (95% CI 88.23-91.97%) in identifying patients with positive RT-PCR, with higher values in the mixed (94.7%) and severe phenotype (97.1%), and even higher in those patients with objective respiratory failure (99.3%). The HighLUS showed a specificity of 88.8% (CI 85.55-91.65%) that was higher in the mild phenotype (94.4%; CI 90.0-97.0%). At multivariate analysis, the HighLUS was a strong independent predictor of RT-PCR positivity (odds ratio 4.2, confidence interval 2.6-6.7, p < 0.0001). CONCLUSION: Combining LUS patterns of probability with clinical phenotypes at presentation can rapidly identify those patients with or without COVID-19 pneumonia at bedside. This approach could support and expedite patients' management during a pandemic surge.
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COVID-19/diagnóstico por imagem , Pulmão/diagnóstico por imagem , Ultrassonografia , Adulto , Idoso , Diagnóstico Precoce , Humanos , Pessoa de Meia-IdadeRESUMO
OBJECTIVES: To evaluate the accuracy of a new COVID-19 prognostic score based on lung ultrasound (LUS) and previously validated variables in predicting critical illness. METHODS: We conducted a single-center retrospective cohort development and internal validation study of the COVID-19 Worsening Score (COWS), based on a combination of the previously validated COVID-GRAM score (GRAM) variables and LUS. Adult COVID-19 patients admitted to the emergency department (ED) were enrolled. Ten variables previously identified by GRAM, days from symptom onset, LUS findings, and peripheral oxygen saturation/fraction of inspired oxygen (P/F) ratio were analyzed. LUS score as a single predictor was assessed. We evaluated GRAM model's performance, the impact of adding LUS, and then developed a new model based on the most predictive variables. RESULTS: Among 274 COVID-19 patients enrolled, 174 developed critical illness. The GRAM score identified 51 patients at high risk of developing critical illness and 132 at low risk. LUS score over 15 (range 0 to 36) was associated with a higher risk ratio of critical illness (RR, 2.05; 95% confidence interval [CI], 1.52-2.77; area under the curve [AUC], 0.63; 95% CI 0.676-0.634). The newly developed COVID-19 Worsening Score relies on five variables to classify high- and low-risk patients with an overall accuracy of 80% and negative predictive value of 93% (95% CI, 87%-98%). Patients scoring more than 0.183 on COWS showed a RR of developing critical illness of 8.07 (95% CI, 4.97-11.1). CONCLUSIONS: COWS accurately identify patients who are unlikely to need intensive care unit (ICU) admission, preserving resources for the remaining high-risk patients.
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COVID-19/diagnóstico , Estado Terminal , Unidades de Terapia Intensiva , Pandemias , Tomografia Computadorizada por Raios X/métodos , Adulto , Idoso , Idoso de 80 Anos ou mais , COVID-19/epidemiologia , Estudos de Coortes , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Estudos Retrospectivos , Índice de Gravidade de Doença , Reino Unido/epidemiologia , Adulto JovemRESUMO
OBJECTIVE: To analyze the application of lung ultrasound (LUS) diagnostic approach in obstetric patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and compare LUS score and symptoms of the patients. DESIGN: A single-center observational retrospective study from October 31, 2020 to March 31, 2021. SETTING: Department of Ob/Gyn at the University-Hospital of Udine, Italy. PARTICIPANTS: Pregnant women with SARS-CoV-2 diagnosed with reverse transcription-PCR (RT-PCR) swab test were subdivided as symptomatic and asymptomatic patients with COVID-19. EXPOSURE: Lung ultrasound evaluation both through initial evaluation upon admission and through serial evaluations. MAIN OUTCOME: Reporting LUS findings and LUS score characteristics. RESULTS: Symptomatic patients with COVID-19 showed a higher LUS (median 3.5 vs. 0, p < 0.001). LUS was significantly correlated with COVID-19 biomarkers as C-reactive protein (CPR; p = 0.011), interleukin-6 (p = 0.013), and pro-adrenomedullin (p = 0.02), and inversely related to arterial oxygen saturation (p = 0.004). The most frequent ultrasound findings were focal B lines (14 vs. 2) and the light beam (9 vs. 0). CONCLUSION: Lung ultrasound can help to manage pregnant women with SARS-CoV-2 infection during a pandemic surge. STUDY REGISTRATION: ClinicalTrials.gov, NCT04823234. Registered on March 29, 2021.
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BACKGROUND: To produce statements based on the available evidence and an expert consensus (as members of the Lung Ultrasound Working Group of the Italian Society of Analgesia, Anesthesia, Resuscitation, and Intensive Care, SIAARTI) on the use of lung ultrasound for the management of patients with COVID-19 admitted to the intensive care unit. METHODS: A modified Delphi method was applied by a panel of anesthesiologists and intensive care physicians expert in the use of lung ultrasound in COVID-19 intensive critically ill patients to reach a consensus on ten clinical questions concerning the role of lung ultrasound in the following: COVID-19 diagnosis and monitoring (with and without invasive mechanical ventilation), positive end expiratory pressure titration, the use of prone position, the early diagnosis of pneumothorax- or ventilator-associated pneumonia, the process of weaning from invasive mechanical ventilation, and the need for radiologic chest imaging. RESULTS: A total of 20 statements were produced by the panel. Agreement was reached on 18 out of 20 statements (scoring 7-9; "appropriate") in the first round of voting, while 2 statements required a second round for agreement to be reached. At the end of the two Delphi rounds, the median score for the 20 statements was 8.5 [IQR 8.9], and the agreement percentage was 100%. CONCLUSION: The Lung Ultrasound Working Group of the Italian Society of Analgesia, Anesthesia, Resuscitation, and Intensive Care produced 20 consensus statements on the use of lung ultrasound in COVID-19 patients admitted to the ICU. This expert consensus strongly suggests integrating lung ultrasound findings in the clinical management of critically ill COVID-19 patients.
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BACKGROUND: In a variable number of Covid-19 patients with acute respiratory failure, non-invasive breathing support strategies cannot provide adequate oxygenation, thus making invasive mechanical ventilation necessary. Factors predicting this unfavorable outcome are unknown, but we hypothesized that diaphragmatic weakness may contribute. METHODS: We prospectively analyzed the data of 27 consecutive patients admitted to the general Intensive Care Unit (ICU) from March 19, 2020, to April 20, 2020 and submitted to continuous positive airway pressure (CPAP) before considering invasive ventilation. Diaphragmatic thickening fraction (DTF) inferred by ultrasound was determined before applying CPAP. RESULTS: Eighteen patients recovered with CPAP, whereas nine required invasive mechanical ventilation with longer stay in ICU (p < 0.001) and hospital (p = 0.003). At univariate logistic regression analysis, CPAP failure was significantly associated with low DTF [ß: -0.396; OR: 0.673; p < 0.001] and high respiratory rate [ß: 0.452; OR: 1.572; p < 0.001] but only DTF reached statistical significance at multivariate analysis [ß: -0.384; OR: 0.681; p < 0.001]. The DTF best threshold predicting CPAP failure was 21.4 % (AUC: 0.944; sensitivity: 94.4 %, specificity: 88.9 %). CONCLUSIONS: In critically ill patients with Covid-19 respiratory failure admitted to ICU, a reduced DTF could be a potential predictor of CPAP failure and requirement of invasive ventilation.
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COVID-19/patologia , COVID-19/terapia , Pressão Positiva Contínua nas Vias Aéreas , Diafragma/patologia , Resultado do Tratamento , Idoso , Diafragma/diagnóstico por imagem , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Projetos Piloto , Insuficiência Respiratória/terapia , Insuficiência Respiratória/virologia , SARS-CoV-2 , UltrassonografiaRESUMO
Coronavirus disease 2019 (COVID-19) has created unprecedented disruption for global healthcare systems. Offices and emergency departments (EDs) were the first responders to the pandemic, followed by medical wards and intensive care unit (ICUs). Worldwide efforts sprouted to coordinate proper response by increasing surge capacity and optimizing diagnosis and containment. Within the complex scenario of the outbreak, the medical community shared scientific research and implemented best-guess imaging strategies in order to save time and additional staff exposures. Early publications showed agreement between chest computed tomography (CT) and lung sonography: widespread ground-glass findings resembling acute respiratory distress syndrome (ARDS) on CT of COVID-19 patients matched lung ultrasound signs and patterns. Well-established accuracy of bedside sonography for lung conditions and its advantages (such as no ionizing radiation; low-cost, real-time bedside imaging; and easier disinfection steps) prompted a wider adoption of lung ultrasound for daily assessment and monitoring of COVID-19 patients. Growing literature, webinars, online materials, and international networks are promoting lung ultrasound for the same purpose. We propose 11 lung ultrasound roles for different medical settings during the pandemic, starting from the out-of-hospital setting, where lung ultrasound has ergonomic and infection control advantages. Then we describe how medical wards and ICUs can safely integrate lung ultrasound into COVID-19 care pathways. Finally, we present outpatient use of lung ultrasound to aid follow-up of positive case contacts and of those discharged from the hospital.
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Betacoronavirus , Infecções por Coronavirus , Pulmão , Pandemias , Pneumonia Viral , COVID-19 , Humanos , SARS-CoV-2 , UltrassonografiaRESUMO
Lung ultrasound (LU) has rapidly become a tool for assessment of patients stricken by the novel coronavirus 2019 (COVID-19). Over the past two and a half months (January, February, and first half of March 2020) we have used this modality for identification of lung involvement along with pulmonary severity in patients with suspected or documented COVID-19 infection. Use of LU has helped us in clinical decision making and reduced the use of both chest x-rays and computed tomography (CT).
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Betacoronavirus , Infecções por Coronavirus/diagnóstico por imagem , Pneumonia Viral/diagnóstico por imagem , COVID-19 , Infecções por Coronavirus/terapia , Seguimentos , Humanos , Itália , Pulmão/diagnóstico por imagem , Pandemias , Pneumonia Viral/terapia , SARS-CoV-2 , Índice de Gravidade de Doença , UltrassonografiaRESUMO
Diverticular disease is a common disorder and its incidence increases with ageing. Pathophysiology is multifactorial. Lifestyle, including smoking, alcohol intake, decreased dietary fibres and lack of physical activity, plays a predominant role. Genetics seems also to contribute specifically for right-sided diverticular disease (RSD). The majority of the patients with diverticular disease are asymptomatic. Diverticulitis is the inflammation of the diverticula usually presenting with abdominal pain associated to nausea, vomiting, rectal bleeding, diarrhoea and fever. When the inflammation process affects the diverticula in the ascending colon, the condition represents a clinical challenge as it can be easily misdiagnosed with other acute abdominal emergencies. We reported a case of a 70-year-old female who presented to our Emergency Department (ED) with right upper quadrant pain and an initial clinical suspicion of cholecystitis. Ultrasound (US) and Computed Tomography (CT) demonstrated an anatomical variation of the sigmoid colon diverticulitis. This clinical report demonstrates that ultrasound plays a relevant part as first-step approach to the acute abdominal conditions and its accuracy increases together with other diagnostic tools such as Computer Tomography.
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Thoracic ultrasound is a powerful diagnostic imaging technique for pleural space disorders. In addition to visualising pleural effusion, thoracic ultrasound also helps clinicians to identify the best puncture site and to guide the drainage insertion procedure. Thoracic ultrasound is essential during these invasive manoeuvres to increase safety and decrease potential life-threatening complications. This paper provides a technical description of pigtail-type drainage insertion using thoracic ultrasound, paying particular attention to indications, contraindications, ultrasound guidance, preparation/equipment, procedure and complications.
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BACKGROUND: Diagnostic tools available in low-income countries are often really basic even if patients can be as sick as those of the richer countries. Point-of-care ultrasound could be a solution for this problem. We studied the impact of ultrasound at the Holy Spirit Hospital, Makeni, Sierra Leone. METHODS: This is a prospective, observational study on outpatients presenting at the HSH. We enrolled continually for 1 month 105 patients asked for ultrasound examination by the caring physician that had to indicate the differential diagnosis hypothesized, the confidence degree about these on a 5-point Likert scale, and the therapy before and after the US. The primary outcome was to measure the difference in the number of differential diagnoses. Secondary outcomes were the rate of new diagnoses, the confidence changes of the visiting physician, and the changes in prescribed therapy or management. Categorical variables were compared using the Chi-square test, and continuous ones using two-tailed Student's test and Likert with the Wilcoxon rank-sum test. RESULTS: 194 differential diagnoses were formulated, with a mean of 1.85 (DS 0.87) diagnoses per patient. 89 (46%) were excluded on the basis of US, reducing the mean of differential diagnosis per patient to 1, 0 (p < 0.001). US also introduced 53 new diagnoses in 42 patients (mean 1.26; SD 0.54), raising the final differential diagnosis from 105 to 158 (+50.5%) that is 1.51 (DS 0.79) per patient. There is a statistically significant reduction (18.6%) in diagnoses per patient after having performed the ultrasound (p < 0.001). The certainty level increased (Wilcoxon rank-sum test: p < 0.001). We did not reach the statistical significance studying the changes in therapy and management because the subgroups for analysis were too small. Nonetheless, we saw interesting changes in drug prescription and referral rate before and after the US. CONCLUSION: Ultrasound is feasible in low-income countries; with it diagnostic hypotheses were reduced and new unexpected diagnoses were introduced. Further studies are needed to explore other strong outcomes like mortality, length of stay in hospital, and money saved with the use of ultrasound in developing countries.
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BACKGROUND: Lung ultrasonography (LUS) has emerged as a noninvasive tool for the differential diagnosis of pulmonary diseases. However, its use for the diagnosis of acute decompensated heart failure (ADHF) still raises some concerns. We tested the hypothesis that an integrated approach implementing LUS with clinical assessment would have higher diagnostic accuracy than a standard workup in differentiating ADHF from noncardiogenic dyspnea in the ED. METHODS: We conducted a multicenter, prospective cohort study in seven Italian EDs. For patients presenting with acute dyspnea, the emergency physician was asked to categorize the diagnosis as ADHF or noncardiogenic dyspnea after (1) the initial clinical assessment and (2) after performing LUS ("LUS-implemented" diagnosis). All patients also underwent chest radiography. After discharge, the cause of each patient's dyspnea was determined by independent review of the entire medical record. The diagnostic accuracy of the different approaches was then compared. RESULTS: The study enrolled 1,005 patients. The LUS-implemented approach had a significantly higher accuracy (sensitivity, 97% [95% CI, 95%-98.3%]; specificity, 97.4% [95% CI, 95.7%-98.6%]) in differentiating ADHF from noncardiac causes of acute dyspnea than the initial clinical workup (sensitivity, 85.3% [95% CI, 81.8%-88.4%]; specificity, 90% [95% CI, 87.2%-92.4%]), chest radiography alone (sensitivity, 69.5% [95% CI, 65.1%-73.7%]; specificity, 82.1% [95% CI, 78.6%-85.2%]), and natriuretic peptides (sensitivity, 85% [95% CI, 80.3%-89%]; specificity, 61.7% [95% CI, 54.6%-68.3%]; n = 486). Net reclassification index of the LUS-implemented approach compared with standard workup was 19.1%. CONCLUSIONS: The implementation of LUS with the clinical evaluation may improve accuracy of ADHF diagnosis in patients presenting to the ED. TRIAL REGISTRY: Clinicaltrials.gov; No.: NCT01287429; URL: www.clinicaltrials.gov.
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Dispneia/diagnóstico por imagem , Dispneia/etiologia , Serviço Hospitalar de Emergência , Insuficiência Cardíaca/complicações , Insuficiência Cardíaca/diagnóstico , Pneumopatias/diagnóstico por imagem , Idoso , Idoso de 80 Anos ou mais , Protocolos Clínicos , Estudos de Coortes , Feminino , Humanos , Itália , Pneumopatias/complicações , Masculino , Pessoa de Meia-Idade , Valor Preditivo dos Testes , UltrassonografiaRESUMO
BACKGROUND: Lung ultrasound (LUS) may accurately diagnose pneumothorax. However, there is uncertainty about its usefulness in the quantification of pneumothorax size. To determine the ability of LUS in the semi-quantification of pneumothorax volume, we compared the projection of the lung point (LP) with the pneumothorax volume measured by computerized tomography (CT) and the interpleural distance on chest radiography (CXR). METHODS: We performed LUS in patients with pneumothorax and all the LP located on the chest wall were compared to CXR and CT studies. The primary outcome of the study was the ability of LP to grade pneumothorax volumes measured by CT. The secondary outcome was the accuracy of LP to predict small and large pneumothorax according to the societal guidelines based on CXR reading. RESULTS: A total of 124 patients with pneumothorax were enrolled (76 spontaneous, 20 traumatic and 28 post-procedural). Ninety-four CXR and 58 CT were available for the analysis. An LP posterior to the mid axillary line corresponded to three different CXR criteria for large pneumothorax with sensitivity from 81.4 to 88.2 % and specificity from 64.7 to 72.6 %. The mid axillary line also represented the limit for predicting greater than 15 % of lung collapse when volume is measured at CT, with sensitivity 83.3 % and specificity 82.4 %. CONCLUSIONS: LUS-targeted assessment of LP was a useful predictor of pneumothorax volume in this research study setting. LUS reliably classified pneumothorax size when compared to criteria based on CXR reading, particularly the small sized pneumothorax. However, LUS greatly outperformed conventional CXR reading for a graded quantification of the percentage of lung collapse.