Literature DB >> 32863640

Comparison of Efficacy of LUS and CXR in the Diagnosis of Children Presenting with Respiratory Distress to Emergency Department.

Laila M Hegazy1, Ahmed R Rezk1, Hossam M Sakr2, Asmaa S Ahmed1.   

Abstract

INTRODUCTION: Respiratory distress (RD) in children is a life-threatening condition. Delay in diagnosis has a deleterious effect on morbidity and mortality. The bedside lung ultrasound in emergency (BLUE) is a fast method that aims to accelerate the diagnosis with minimal radiological exposure. We targeted to evaluate the efficacy of BLUE protocol to speed and increase the precision of recognizing the cause of RD compared with chest X-ray (CXR) in the emergency department.
MATERIALS AND METHODS: A cross-sectional study on 63 children with RD attended the emergency of a tertiary, university-affiliated, pediatric medical center between January 2017 and January 2018.
RESULTS: Most cases were males 52.4%. We designed to estimate the value of BLUE as a diagnostic tool for RD and comparing it with CXR. Pneumonia with or without pleural effusion was the main etiology of RD detected by BLUE in 47.7% of studied children, pulmonary edema in 22.2%, bronchiolitis and asthma in 17.4%, and pneumothorax in 12.7%. Lung ultrasound (LUS) was superior to CXR in the diagnosis of RD cause, and most cases, 47.7% were diagnosed with pneumonia with a sensitivity of 93.5% and specificity 96.9%.
CONCLUSION: Bedside lung ultrasound in emergency is an effective tool for identifying the cause of RD which is more sensitive and specific compared with CXR. HOW TO CITE THIS ARTICLE: Hegazy LM, Rezk AR, Sakr HM, Ahmed AS. Comparison of Efficacy of LUS and CXR in the Diagnosis of Children Presenting with Respiratory Distress to Emergency Department. Indian J Crit Care Med 2020;24(6):459-464.
Copyright © 2020; Jaypee Brothers Medical Publishers (P) Ltd.

Entities:  

Keywords:  Bedside lung ultrasound in emergency protocol; Chest X-ray; Emergency; Pediatrics

Year:  2020        PMID: 32863640      PMCID: PMC7435092          DOI: 10.5005/jp-journals-10071-23459

Source DB:  PubMed          Journal:  Indian J Crit Care Med        ISSN: 0972-5229


INTRODUCTION

In intensive care units (ICUs), thoracic imaging is applied to most of the patients. The mobile standard chest X-ray (CXR) is one of the most attainable imaging modalities. However, CXR may be incovenient for critically ill children in the emergency department and carry possible hazards of irradiation.[1] The CXR procedures take a significant amount of time which may not be available. The good quality of the CXR image is not always warranted. Chest X-ray interpretation can be challenging if critically ill patients have multiple radiographic abnormalities.[2] Technical barriers may lead to inaccurate assessment of lung consolidation, pleural effusion, and alveolar-interstitial syndrome.[3] Lung ultrasound (LUS) is a safe and efficient tool for emergency diagnosis of respiratory distress (RD). Bedside lung ultrasound in emergency (BLUE) protocol can be used as a screening tool in acutely dyspneic or hypoxic children to provide an instant diagnosis and influence therapeutic intervention.[1] This reduces the need for more hazardous tools as CXR and computerized tomography (CT) scans.[2] The protocol includes the study of lung areas to detect ultrasound findings resulting in seven profiles that are specific to the corresponding clinical diagnosis. This protocol is a part of an approach that includes basic history, physical examination, and basic laboratory tests. In our study, we examined children aging between 1 month and 18 years admitted to the emergency department with RD. Our study aims to evaluate the accuracy of BLUE protocol in identifying the cause of RD in comparison with CXR through seven different lung profiles in the Emergency Department of Ain Shams Hospitals.

MATERIALS AND METHODS

A cross-sectional observational study on 63 children with RD admitted to the emergency room, Children’s Hospital, Ain Shams University. The study started in January 2017 and was fulfilled in January 2018. Informed consent was signed by the parents or guardians of all the participants for admission to the hospital and the procedures performed during the hospitalization. Inclusion criteria were children >1 month and <18 years with RD defined as dyspnea, tachypnea >60 breaths/minute or tachypnea for age, severe hypoxemia in room air and/or cyanosis, pulse oximetry SpO2 <92%, grunting, apnea, working accessory muscles as intercostals, and nose flaring. Exclusion criteria were age ≤1 month or ≥18 years, and/or patients having a prior diagnosis to avoid bias. Also, patients and/or relatives not giving consent were excluded. The initial screening for children with RD was made by the emergency team using standardized clinical tests before comparing and confirming the results of BLUE protocol and CXR. The main diagnoses included pneumonia with or without pleural effusion, acute hemodynamic lung edema, obstructive lung disease (bronchiolitis or asthma), and pneumothorax. Included patients were subjected to full history and clinical examination. Recorded vital signs were temperature, respiratory rate, heart rate, blood pressure, complexion, consciousness level, capillary refill time, and chest examination. Routine laboratory tests were done for all the patients including complete blood count (CBC) (by Sysmex XE-2100, Kobe, Japan) and C-reactive protein (CRP) by the latex agglutination test (Omega, UK). Radiological evaluations were CXR anteroposterior (AP) view as the patients were in a supine position. The LUS using BLUE protocol was done within 1 hour of admission after the initial screening. The BLUE protocol was established to know the cause of RD.[4] The LUS was performed by the same experienced radiologist using (SonoScape S8) with a linear lens and virtual convex ability which can visualize deeper lung structures. The radiologist, who did and reported both the CXR and LUS, was blinded to the clinical and laboratory diagnoses of the patients. The evaluation was in a semi-recumbent position or supine position. The LUS results were interpreted according to the original BLUE protocol study. The LUS images were obtained for each of the six quadrants in each hemithorax (upper and lower parts of the anterior, lateral, posterior chest wall, delimited by anterior and posterior axillary lines). All quadrants were categorized according to the predominant profiles (A, B, or C) as shown in Table 1. Lung sliding is an essential ultrasound finding to identify normal lung aeration, and it indicates the regular movement of the pleural line (described as a bright white line) in regular cycles in synchrony with each respiratory movement. Following the original BLUE protocol in order not to miss the diagnosis of pulmonary embolism, normal profile (bilateral lung sliding with A-lines) should be combined with screening for leg vein thrombosis (which was not performed in our study).[4,5]
Table 1

Lung ultrasound profiles

ProfileDescriptionIndicates
A (A-lines)Static horizontal white lines appear at regular intervalsAsthma or bronchiolitis
A′Absence of lung sliding combined with the presence of A-linesPneumothorax
AIn addition to venous thrombosisPulmonary embolism
BHyperechoic vertical artifacts that move in synchrony with the respiratory cyclePulmonary edema
B′Absence of lung sliding combined with diffuse anterior lung rocketsPneumonia
A/BA half A profile in one lung and a half B profile in the otherPneumonia
CA tissue-like structure contains white points or air bronchogram consisting of lung parenchymaAnterior lung consolidation
PLAPSPneumonia with or without pleural syndrome
Lung ultrasound profiles

Statistical Methods

The sample size was calculated using PASS 11.0 sample size calculation program. It was calculated based on the least sensitivity and specificity for ultrasound in critically ill dyspneic patients. The sample included 63 patients to achieve 90% power to detect a change in sensitivity from 0.5 to 0.81 using a two-sided binomial test and to detect a change in specificity from 0.5 to 1.00 using a two-sided binomial test. The significance level achieved by the sensitivity test is 0.0414 and achieved by the specificity test is 0.5000. The prevalence of the disease is 0.97. These calculations were based on the findings retrieved from a study carried out by Lichtenstein and Meziere.[4,6] They found out that predominant A-lines plus lung sliding indicated asthma and had 89% sensitivity and 97% specificity. Multiple anterior diffuse B-lines with lung sliding, which indicated pulmonary edema, had 97% sensitivity and 95% specificity. Anterior absent lung sliding plus A-lines plus lung point indicated pneumothorax with 81% sensitivity and 100% specificity. Anterior alveolar consolidations, anterior diffuse B-lines with abolished lung sliding, anterior asymmetric interstitial patterns, posterior consolidations, or effusions without anterior diffuse B-lines indicated pneumonia with 89% sensitivity and 94% specificity.

Statistical Analysis

Data were tabulated and analyzed using Statistical Package for Social Sciences (SPSS) (IBM 20.0). Data were presented, and a suitable analysis was done according to the type of data obtained for each parameter: Mean, standard deviation, and range for parametric numerical data, while median and interquartile range (IQR) for nonparametric data, and frequency and percentage for non-numerical data. Diagnostic accuracy of ultrasound as compared to clinical diagnosis will be determined with sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV).

RESULTS

The study comprised 63 patients who met the inclusion criteria, 30 (47.6%) males and 33 (52.4%) females. Table 2 shows the baseline characteristics of the study participants. According to the bedside lung ultrasound with clinical diagnosis, community-acquired pneumonia with or without pleural syndrome 47.7% was the main etiology for RD in children [B′, C, A/B, posterolateral alveolar and/or pleural syndrome (PLAPS) profiles], while pulmonary edema or interstitial syndrome was the second most common etiology (B profile) in 22.2% of studied children. Bronchiolitis and asthma (A profile) were diagnosed in 17.4% of patients with RD, while pneumothorax 12.7% (A′ profile with lung point) was the least common cause (Table 3 and Figs 1 to 4). Table 4 shows the diagnosis according to the X-ray in relation to clinical diagnosis, while Table 5 shows the diagnosis depending on clinical examination only.
Table 2

Characteristics of study participants

CharacteristicMeanStandard deviation
Age in months, median [IQR]12[4–24]
Order of birth2.9±1.44
Hemoglobin, mg/dL9.6±1.27
Platelets, per microliter276,342±192,459
White blood cells, per microliter17,271±10,197
CRP, mg/L, median [IQR]12[6–31.7]
BUN, mg/dL, median [IQR]9[6–23.5]
Creatinine, mg/dL, median [IQR]0.4[0.3–0.6]
Na+, mEq/L135.5±6.5
K+, mEq/L4.3±1.14
Ca2+, mg/dL8.9±0.75
PT, second, median [IQR]14[13–15.5]
PTT, second, median [IQR]38[32.7–45]
Table 3

Bedside lung ultrasound in the studied patients in relation to clinical diagnosis

Clinical diagnosisBLUE protocolNo.Percentage (%)
Pneumonia profilesC profile1015.9
B′ profile914.3
A with PLAPS812.7
A/B profile34.8
3047.7
Pulmonary edema profileB profile1422.2
Obstructive lung diseaseA nor B nor PLAPS profile (nude profile)1117.4
Asthma or bronchiolitis
PneumothoraxA′ with lung point profile812.7
Figs 1A to D

Anterior lung consolidation C profile

Fig. 4

Lung ultrasound M mode_V2

Table 4

Chest X-ray in the studied patients

Chest X-rayNo.(%)
Pneumonia2844.4
Pulmonary edema1117.5
Not diagnosed (free at examination)1117.5
Obstructive lung disease  711
Asthma or bronchiolitis
Pneumothorax  69.5
Table 5

Clinical diagnosis in the studied patients

Clinical diagnosisNo.(%)
Pneumonia3149.2
Pulmonary edema1320.6
Pneumothorax  812.7
Asthma  711.1
Bronchiolitis  4  6.3

DISCUSSION

The information provided by LUS can add to the physical assessment and clinical expectations. The main advantages were being safe, quick, and bedside too.[7] Many studies discussed the use of LUS in the PICU, NICU, and AICU, but few studies reported the benefits of using this tool in the emergency room (ER) as a bedside test. The ultrasound usage for instant management of life-threatening conditions is one of the main improvements over the years.[5] We studied the accuracy of LUS in the diagnosis of the commonly encountered causes of RD in the pediatric emergency. Our results showed a satisfactory outcome of LUS in the patients with RD admitted to the emergency using the BLUE protocol and were superior to the results of the X-ray[8] (Tables 6 and 7).
Table 6

Detailed performances of the bedside lung ultrasound in emergency protocol in studied children with respiratory distress

DiseaseUltrasound sign usedSensitivity (%)Specificity (%)Positive predictive value (%)Negative predictive value (%)
Pneumonia(B′ profile)93.596.996.793.9
(A/B profile)
(C profile)
A profile plus PLAPS
Pulmonary edema(B profile)92.39685.798
Asthma or bronchiolitisA profile90.99890.998
PneumothoraxA′ profile with lung point100.0100.0100.0100.0
Table 7

Accuracy of chest X-ray

DiseaseSensitivity (%)Specificity (%)Positive predictive value (%)Negative predictive value (%)
Pneumonia90.3  87.7  87.590.3
Pulmonary edema84.6100.0100.096.1
Obstructive lung disease (asthma or bronchiolitis)54.5  98.0  85.791.0
Pneumothorax75.0100.0100.096.7
In our series, pneumonia was the most common cause of RD in children 47.7%. Of the 31 children with a confirmed diagnosis of pneumonia using BLUE protocol, LUS showed the findings consistent with pneumonia in 30 children including 12 patients with para-pneumonic pleural effusion (10 C profile, 9 B′ profile, 8 A profile with PLAPS, 3 A/B profile) with a sensitivity of 93.5%, specificity 96.9%, PPV 96.7%, negative predictive value (NPV) 93.9% as measured against the final diagnosis, while CXR was positive for pneumonia in 28 children and only 5 patients with effusion with a sensitivity of 90.3% and specificity 87.5%, PPV 87.5%, NPV 90.3%. Pneumonia was more common in females than in males. In the present study, one patient was given the B′ profile by ultrasound so was given the diagnosis of pneumonia but was clinically diagnosed as pulmonary edema, while another patient was given the B profile by ultrasound; hence, the diagnosis of pulmonary edema but clinically diagnosed as pneumonia. Distinguishing pulmonary edema and interstitial pneumonia is yet a limitation of this ultrasound approach, hence the naming interstitial syndrome. Clinical data combined with ultrasound might increase ultrasound sensitivity and specificity. Characteristics of study participants Anterior lung consolidation C profile Bedside lung ultrasound in the studied patients in relation to clinical diagnosis RT pleural effusion (C) associated with lung consolidation (D) PLAPS profile Confluent B-lines Chest X-ray in the studied patients Clinical diagnosis in the studied patients Pereda et al. performed a meta-analysis to confirm evidence on the diagnostic accuracy of LUS for childhood pneumonia. The meta-analysis comprised 765 children. The authors concluded that LUS had a sensitivity of 96% and specificity of 93% in accurately diagnosing pneumonia in children as measured against the final diagnosis, while CXR showed a sensitivity of 82% and a specificity of 94% in the diagnosis of pneumonia in hospitalized acute respiratory children.[9] Lichtenstein demonstrated the BLUE protocol performed on the dyspneic patients who will be admitted to the ICU to know the cause of dyspnea in adult critical patients. He showed that the sensitivity of LUS in the diagnosis of pneumonia (four profiles: C profile, B′ profile, A with PLAPS, and A/B profile) was 89%, specificity was 94%, PPV was 88%, and NPV was 95%.[6] While Lichtenstein and Mauriat used LUS in critically ill neonate using the BLUE protocol for immediate identification of the cause of acute respiratory failure, they considered that the radiological signs for the main acute disorders are the same in adults and neonates as no radiological distinction has ever been made and demonstrated that LUS sensitivity for alveolar consolidation was 90 % with specificity 98%, while CXR sensitivity was 68% with specificity 95%.[5] Lichtenstein reported that LUS was superior to CXR in the detection of pleural effusion.[10] Also, another work mentioned that LUS sensitivity, specificity, and diagnostic accuracywere100% in the diagnosis of pleural effusion among critically ill patients in comparison with bedside CXR which performed very poorly (sensitivity 65%, specificity 81%, and diagnostic accuracy 69%.[5] Xirouchaki et al. and Neto et al. evaluated emergency room patients complaining of dyspnea using LUS; they found it more accurate than CXR in those who subsequently underwent chest CT scans. In Xirouchaki study, the sensitivity and specificity were 100% compared to a sensitivity of 65% and specificity 81% for CXR, while in Neto study, the sensitivity and specificity of LUS for identifying pleural effusion were 90% and 73%, respectively.[11-13] Lung ultrasound M mode_V2 In our series, 13 children had a clinical diagnosis of pulmonary edema or interstitial syndrome using BLUE protocol. LUS showed findings consistent with pulmonary edema (B profile) in 14 children as measured against the final diagnosis with a sensitivity of 92.3%, specificity 96%, PPV 85.7%, and NPV 98%, while CXR was positive for pulmonary edema in 11 children with a sensitivity of 84%, specificity 100%, PPV 100%, and NPV 96%. Lichtenstein reported that the sensitivity of LUS in detecting the interstitial syndrome (main causes are hemodynamic pulmonary edema and interstitial pneumonia) in critically ill patients was 93% with a specificity of 93%. He also mentioned that the specificity of LUS using BLUE protocol for the diagnosis of pulmonary edema (B profile) was 95%. (6,10,14) The same results were confirmed later by Lichtenstein and Mauriat when they used LUS in critically ill neonates but in comparison with CXR that had sensitivity 60% and specificity 100% for the interstitial syndrome.[5] The possible defect of bedside radiography accounts for its principle three dimensions are reduced to two. Alveolar, pleural, and interstitial signs can be challenging to be distinguished, this is overcome by using ultrasound which has three dimensions ability. Neto et al. reported in a study conducted on adults that the diagnostic accuracy of LUS alone was significantly higher than that of CXR alone (84% vs 43%).[13] Silva et al. demonstrated that the diagnostic accuracy of the LUS approach in acute respiratory failure patients was higher than that of an initial routine evaluation based on clinical, radiological, and biological data (83% vs 63%, p < 0.02). The most common etiologies for RD were pneumonia and hemodynamic lung edema. They concluded that LUS based on the BLUE protocol was reproducible by physicians who are not LUS experts and accurate for the diagnosis of pneumonia and hemodynamic pulmonary edema.[15] Detailed performances of the bedside lung ultrasound in emergency protocol in studied children with respiratory distress Accuracy of chest X-ray In our study, using BLUE protocol, LUS showed findings consistent with asthma or bronchiolitis in 11 children (A with no B nor PLAPS profile) with a sensitivity of 90.9%, specificity 98%, PPV 90.9%, and NPV 98% as measured against final diagnosis, while CXR was positive for asthma or bronchiolitis only in 7 children with a sensitivity of 54.5%, specificity 98%, PPV 85.7%, and NPV 91%. Two previous studies, conducted on critically ill adult patients, published that the sensitivity of LUS using BLUE protocol was 89% with a specificity of 97%, PPV 93%, and NPV 95% in the diagnosis of asthma or chronic obstructive pulmonary disease (COPD).[6,14] According to Basile et al., the agreement between the clinical and sonographic diagnoses in infants with bronchiolitis was good 90.6% with a statistically significant interobserver ultrasound diagnosis concordance of 89.6%. The LUS correlated to clinical evaluation and permitted the identification of infants in need of supplemental oxygen with high specificity.[16] In the present study, of the eight children with a confirmed diagnosis of pneumothorax using BLUE protocol, LUS showed findings consistent with pneumothorax in all of them (A′ profile with lung point) with a sensitivity of 100%, specificity 100%, PPV 100.0%, and NPV 100%, while CXR was positive for pneumothorax in six children with a sensitivity of 75%, specificity 100%, PPV 100%, and NPV 96.4%. Raimondi et al. found that the accuracy of LUS in diagnosing pneumothorax was quite high reaching 100% in critically ill neonates.[17] Lichtenstein found that the sensitivity of LUS using BLUE protocol in the diagnosis of pneumothorax was 88% with a specificity of 100%, PPV 100%, and NPV 99%. In critically ill adult patients, the detection of lung points confirms pneumothorax diagnosis.[6,14] Given this low sample size in one center, we were not able to exclude type II error, and this requires further research to check the validity of results. Also, findings and their interpretations are operator dependent and choice of the probe is critical so ultrasound interpretation should always occur in the context of the clinical condition.

CONCLUSION

The LUS using BLUE protocol allows fast and accurate bedside diagnosis of acute respiratory illnesses in children in comparison with CXR. It enables a pathophysiological approach to identify etiology. The versatility of LUS in visual medicine gives it a priority in intensive care emergency settings as well as many other disciplines and settings.

ETHICAL APPROVAL

All procedures performed in the studies involving human participants were under the ethical standards of Ain Shams University Faculty of Medicine Research Ethics Board (Reference number 21737) and with the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards. This article does not contain any studies with animals performed by any of the authors.
  17 in total

Review 1.  International evidence-based recommendations for point-of-care lung ultrasound.

Authors:  Giovanni Volpicelli; Mahmoud Elbarbary; Michael Blaivas; Daniel A Lichtenstein; Gebhard Mathis; Andrew W Kirkpatrick; Lawrence Melniker; Luna Gargani; Vicki E Noble; Gabriele Via; Anthony Dean; James W Tsung; Gino Soldati; Roberto Copetti; Belaid Bouhemad; Angelika Reissig; Eustachio Agricola; Jean-Jacques Rouby; Charlotte Arbelot; Andrew Liteplo; Ashot Sargsyan; Fernando Silva; Richard Hoppmann; Raoul Breitkreutz; Armin Seibel; Luca Neri; Enrico Storti; Tomislav Petrovic
Journal:  Intensive Care Med       Date:  2012-03-06       Impact factor: 17.440

Review 2.  Ultrasound examination of the lungs in the intensive care unit.

Authors:  Daniel A Lichtenstein
Journal:  Pediatr Crit Care Med       Date:  2009-11       Impact factor: 3.624

3.  Lung ultrasound in critically ill patients: comparison with bedside chest radiography.

Authors:  Nektaria Xirouchaki; Eleftherios Magkanas; Katerina Vaporidi; Eumorfia Kondili; Maria Plataki; Alexandros Patrianakos; Evaggelia Akoumianaki; Dimitrios Georgopoulos
Journal:  Intensive Care Med       Date:  2011-08-02       Impact factor: 17.440

4.  Lung water assessment by lung ultrasonography in intensive care: a pilot study.

Authors:  Giacomo Baldi; Luna Gargani; Antonio Abramo; Luigia D'Errico; Davide Caramella; Eugenio Picano; Francesco Giunta; Francesco Forfori
Journal:  Intensive Care Med       Date:  2012-09-28       Impact factor: 17.440

5.  Usefulness of cardiothoracic chest ultrasound in the management of acute respiratory failure in critical care practice.

Authors:  Stein Silva; Caroline Biendel; Jean Ruiz; Michel Olivier; Benoit Bataille; Thomas Geeraerts; Arnaud Mari; Beatrice Riu; Olivier Fourcade; Michele Genestal
Journal:  Chest       Date:  2013-09       Impact factor: 9.410

6.  Radiation Exposure in the Medical ICU: Predictors and Characteristics.

Authors:  Sudhir Krishnan; Ajit Moghekar; Abhijit Duggal; Jagadeesh Yella; Shraddha Narechania; Vidhya Ramachandran; Atul Mehta; Fatima Adhi; Anil Kumar Changarath Vijayan; Xiaozhen Han; Xiaofeng Wang; Frank Dong; Charles Martin; Jorge Guzman
Journal:  Chest       Date:  2018-01-31       Impact factor: 9.410

7.  Can lung ultrasound replace chest radiography for the diagnosis of pneumonia in hospitalized children?

Authors:  Francesca Reali; Giuseppe Francesco Sferrazza Papa; Paolo Carlucci; Paola Fracasso; Fabiano Di Marco; Marzia Mandelli; Simone Soldi; Enrica Riva; Stefano Centanni
Journal:  Respiration       Date:  2014-07-02       Impact factor: 3.580

8.  Lung Ultrasound for Diagnosing Pneumothorax in the Critically Ill Neonate.

Authors:  Francesco Raimondi; Javier Rodriguez Fanjul; Salvatore Aversa; Gaetano Chirico; Nadya Yousef; Daniele De Luca; Iuri Corsini; Carlo Dani; Lidia Grappone; Luigi Orfeo; Fiorella Migliaro; Gianfranco Vallone; Letizia Capasso
Journal:  J Pediatr       Date:  2016-05-14       Impact factor: 4.406

9.  Guidelines for the inter- and intrahospital transport of critically ill patients.

Authors:  Jonathan Warren; Robert E Fromm; Richard A Orr; Leo C Rotello; H Mathilda Horst
Journal:  Crit Care Med       Date:  2004-01       Impact factor: 7.598

Review 10.  Lung ultrasound for the diagnosis of pneumonia in children: a meta-analysis.

Authors:  Maria A Pereda; Miguel A Chavez; Catherine C Hooper-Miele; Robert H Gilman; Mark C Steinhoff; Laura E Ellington; Margaret Gross; Carrie Price; James M Tielsch; William Checkley
Journal:  Pediatrics       Date:  2015-03-16       Impact factor: 7.124

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