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PLOS ONE logoLink to PLOS ONE
. 2023 Apr 26;18(4):e0284748. doi: 10.1371/journal.pone.0284748

Point-of-care ultrasonography for risk stratification of non-critical suspected COVID-19 patients on admission (POCUSCO): A prospective binational study

François Morin 1,*, Delphine Douillet 1,2, Jean François Hamel 3,4, Dominique Savary 1,4, Christophe Aubé 5, Karim Tazarourte 6,7, Kamélia Marouf 8, Florence Dupriez 9, Phillipe Le Conte 10, Thomas Flament 11,12, Thomas Delomas 13, Mehdi Taalba 14, Nicolas Marjanovic 15,16,17, Francis Couturaud 18, Nicolas Peschanski 19, Thomas Boishardy 1, Jérémie Riou 20, Vincent Dubée 21,22, Pierre-Marie Roy 1,2
Editor: Robert Jeenchen Chen23
PMCID: PMC10132646  PMID: 37099493

Abstract

Background

Lung point-of-care ultrasonography (L-POCUS) is highly effective in detecting pulmonary peripheral patterns and may allow early identification of patients who are likely to develop an acute respiratory distress syndrome (ARDS). We hypothesized that L-POCUS performed within the first 48 hours of non-critical patients with suspected COVID-19 would identify those with a high-risk of worsening.

Methods

POCUSCO was a prospective, multicenter study. Non-critical adult patients who presented to the emergency department (ED) for suspected or confirmed COVID-19 were included and had L-POCUS performed within 48 hours following ED presentation. The lung damage severity was assessed using a previously developed score reflecting both the extension and the intensity of lung damage. The primary outcome was the rate of patients requiring intubation or who died within 14 days following inclusion.

Results

Among 296 patients, 8 (2.7%) met the primary outcome. The area under the curve (AUC) of L-POCUS was 0.80 [95%CI:0.60–0.94]. The score values which achieved a sensibility >95% in defining low-risk patients and a specificity >95% in defining high-risk patients were <1 and ≥16, respectively. The rate of patients with an unfavorable outcome was 0/95 (0%[95%CI:0–3.9]) for low-risk patients (score = 0), 4/184 (2.17%[95%CI:0.8–5.5]) for intermediate-risk patients (score 1–15) and 4/17 (23.5%[95%CI:11.4–42.4]) for high-risk patients (score ≥16). In confirmed COVID-19 patients (n = 58), the AUC of L-POCUS was 0.97 [95%CI:0.92–1.00].

Conclusion

L-POCUS performed within the first 48 hours following ED presentation allows risk-stratification of patients with non-severe COVID-19.

Introduction

The COVID-19 pandemic has developed worldwide since its emergence in December 2019. Many patients have an uncomplicated course with minor symptoms, however, around 4% develop respiratory symptoms and require hospitalization [1]. Median time from illness onset to dyspnea is 6 to 8 days and around 8% of the hospitalized patients develop acute respiratory distress syndrome (ARDS), usually between Day 7 and Day 10 [2]. The rapid progression of respiratory failure soon after the onset of dyspnea is a striking feature of COVID-19 [3]. There is an urgent need for reliable tools able to early identify patients who are likely to get worse and develop ARDS.

Pulmonary computed tomography (CT-scan) appears to be very sensitive (97%) and quite specific for diagnosis of COVID-19 in patients with a clinical suspicion, provided that it is not performed within the first 4 days after symptom onset [4]. Characteristic CT-scan features are bilateral, subpleural, ground-glass opacities with air bronchograms, and ill-defined margins [5]. Those patterns can precede the positivity of the Reverse Transcriptase-Polymerase Chain Reaction (RT-PCR) for SARS-CoV-2 [6]. However, CT-scan is expensive, irradiating, requires transportation of the patient, so it cannot be used widely for early assessment of patients with COVID-19, especially in the context of hospital overcrowding.

Lung point-of-care ultrasonography (L-POCUS) is a simple, non-invasive, non-irradiating, inexpensive imaging tool available at the bedside and increasingly used by emergency physicians in their everyday clinical practice. A pre-COVID-19 study showed that L-POCUS is better than chest X-ray for detection of pneumonia and may be an alternative to the CT-scan as a screening and prognostic tool [7]. Indeed, L-POCUS is highly effective in detecting peripheral patterns and pleural abnormalities. Therefore, it could be an appropriate tool for triage of COVID-19 patients [8].

A recent publication has shown good prognostic value of lung damage estimated by L-POCUS at admission in confirmed COVID-19 population [9]. However, many patients are admitted in ED with suspected but not yet confirmed COVID-19 and need to be stratified. To our knowledge, no robust data have been yet provided on the prognostic value of L-POCUS, in the overall population of suspected or confirmed COVID-19 patients consulting in the ED, for helping decision-making for triage in the ED [10].

The aim of this study was to determine the performance of L-POCUS at the time of ED presentation or within the first 48 hours in identifying, among patients with confirmed or highly suspected COVID-19, those who are at high-risk of adverse outcomes such as respiratory failure or death.

Materials and methods

Study design and settings

The point-of-care ultrasonography for risk stratification of COVID-19 patients’ study (POCUSCO) was a non-interventional, prospective, multicenter study that was conducted in the ED of 11 hospitals in France and Belgium. This study was conducted in accordance with the Declaration of Helsinki. The protocol was approved by French and Belgian ethics committees, and all participants provided written informed consent. This study adheres to STROBE guidelines [11]. This study was carried out with a grant provided by the French Ministry of Health. The protocol of this study was published in the BMJ Open [12].

Patients were enrolled if they met all of the following criteria: age ≥ 18 years; typical COVID-19 symptoms and at least one of the three following features: i) positive SARS-CoV-2 RT-PCR, ii) typical CT-scan lesions, iii) highly-suspected COVID-19 based on the in-charge physician judgement; no requirement for respiratory support and/or other intensive care, and not subject to a limitation of care; membership of a social security scheme.

Patients for whom the follow-up at Day 14 was impossible or who had a condition making L-POCUS impossible (BMI > 35 kg/m2, history of pneumonectomy) were excluded.

Patients and/or the public were not involved in the design, or conduct, or reporting or dissemination plans of this research.

Interventions

The initial evaluation was carried out by the in-charge physician and patients were treated according to local practice. All participating patients underwent L-POCUS within the first 48 hours and a score reflecting the intensity and the extension of lung involvement was determined [13]. This score was previously developed for ARDS [13, 14]. Demographics, clinical details, and ultrasonographic findings were collected prospectively.

Patients were followed up by phone at Day 14 and their clinical status recorded according to the Ordinal Scale for Clinical Improvement for COVID-19 from the World Health Organization (WHO-OSCI) (Table 1) [15].

Table 1. Ordinal Scale for Clinical Improvement (OSCI) of the World Health Organization (WHO).

Patient state Descriptor Score
Uninfected No clinical or virological evidence of infection 0
Ambulatory No limitation of activities 1
Limitation of activities 2
Hospitalized Mild Disease Hospitalized, no oxygen therapy 3
Oxygen by mask or nasal prongs 4
Hospitalized Severe Disease Non-invasive ventilation or high-flow oxygen 5
Intubation and mechanical ventilation 6
Ventilation + additional organ support: pressors, renal replacement therapy, ECMO… 7
Dead Death 8

Objectives and outcomes

The main objective was to assess the ability of L-POCUS to identify COVID-19 patients with a high-risk of unfavorable outcome. The primary endpoint was the development of severe COVID-19 within the 14 days after ED admission defined as a stage ≥ 6 on the WHO-OSCI. This stage relates to a severe inpatient requiring invasive ventilation (stage 6), and/or additional organ support (stage 7), or who died whatever the cause (stage 8). The ability of L-POCUS to predict the primary outcome occurrence was evaluated by the area under the curve (AUC) of the receiver operating characteristic (ROC) curve and its 95% confidence interval (95%CI). A sensitivity analysis was performed with the 14-day all-cause mortality rate as the outcome.

The secondary objectives were: 1) To determine the threshold values of L-POCUS to stratify patients into three groups according to their risk of adverse outcome: low-risk, intermediate-risk, and high-risk patients. 2) To assess the impact of adding the result of L-POCUS evaluation to two risk-stratification clinical scores: the quick Sequential Organ Failure Assessment (qSOFA) and the CRB-65 [16, 17]. 3) To assess the impact of the knowledge and experience of the operator level (novice, confirmed or expert) on the L-POCUS performance. According to Po-Yang Tsou et al., novice sonographers were defined as physicians with no prior experiences in ultrasound and no or minimal training (≤ 7 days) in lung ultrasound; advanced ultrasonographers were defined as clinicians with more than 7 days of training in LUS, and expert ultrasonographers were defined as clinicians with a university degree in advanced lung ultrasound skills enabling them to do teaching, research and development about ultrasound [18].

We finally performed a subgroup analysis in patients for whom the diagnosis of COVID-19 was initially or subsequently confirmed by a positive RT-PCR for SARS-CoV-2.

Lung point-of-care ultrasonography (L-POCUS)

Initial L-POCUS was performed with ultrasound scanners using low frequency (2–5 MHz) transductors. The Bedside Lung Ultrasound in an Emergency (BLUE)-Protocol was applied to patients in erect or semi-recumbent positions depending on dyspnea severity (Fig 1) [14]. Each chest wall was divided in a total of 12 areas of investigation (Fig 1). Each area was examined for at least one complete respiratory cycle. Four ultrasound aeration patterns were defined and scored 0 to 3, allowing calculation of the L-POCUS score, theoretically ranging from 0 to 36 (named Lung Ultrasound Score (LUS) by Zhao et al.) (Fig 1) [13, 19]. Considering biological risk of infection, special protective precautions were taken to protect the operator and other patients as recommended.

Fig 1. Lung point-of-care ultrasonography method (L-POCUS) and examples of four ultrasound aeration stages.

Fig 1

(Panel A). (a). Twelve chest areas of investigation following BLUE-PLUS Protocol: zone 1: upper anterior chest wall; zone 2: lower anterior chest wall; zone 3: upper lateral chest wall; zone 4: lower lateral chest wall; zone 5: upper posterolateral chest wall; zone 6: lower posterolateral chest wall. (b) L-POCUS score grid: Each zone was examined to establish which of four ultrasound parenchymal aeration stages it exhibited, and points are assigned to them according to their severity. Stage 0 or normal aeration (0 point): Lung sliding sign associated with respiratory movement of less than 3 B lines; Stage 1 or moderate loss of lung aeration (1 point): a clear number of multiple visible B-lines with horizontal spacing between adjacent B lines ≤ 7 mm (B1 lines); Stage 2 or severe loss of lung aeration (2 points): multiple B lines fused together that were difficult to count with horizontal spacing between adjacent B lines ≤ 3 mm, including “white lung”; and Stage 3 or pulmonary consolidation (3 points): hyperechoic lung tissue, accompanied by dynamic air bronchogram. (Panel B). (a) Stage 0 or normal aeration; (b) Stage 1 or moderate loss of lung aeration; (c) Stage 2 or severe loss of lung aeration; (d) Stage 3 or pulmonary consolidation.

Statistical analyses

Continuous variables were expressed as mean and standard deviation values. Categorical variables were described using numbers, percentages, and their 95%CI. The AUCs and their 95%CI were determined by the .632 bootstrap method. For the primary outcome, we determined in advance that the L-POCUS prognostic value would be considered as clinically relevant with a good level of evidence if the lower bound of the 95%CI of the AUC was equal to or greater than 0.7. To perform risk stratification in three groups of patients with a low, intermediate, or high-risk of an unfavorable outcome, two thresholds were calculated. The first maximized specificity with a sensitivity greater than or equal to 95% and the second maximized sensitivity with a specificity greater than or equal to 95%. For these threshold values, sensitivity, specificity, predictive values, and likelihood ratios were assessed. To study the impact of adding the results of the L-POCUS evaluation to several risk stratification clinical rules for pulmonary infection or sepsis (qSOFA and CRB65), AUCs were compared with or without their components with a DeLong test. For this purpose, we attributed 0, 1, or 2 points in the L-POCUS result as low, moderate, or high risk according to the predefined threshold values and assessed the AUC of the risk-stratification rules with and without adding the L-POCUS result value. Assuming a rate of death or tracheal intubation requirement of 10%, and expecting an AUC of 0.8, the number of patients required to achieve a lower limit of the 95%CI, more than 0.7, was estimated as 286. Taking into consideration that 5% of patients were not followed up or could not be evaluated, the sample size was defined as 300 patients. Missing data were not imputed. A descriptive analysis of missing data was performed and compared to the available data to assess a potential bias. All statistical analyzes were performed using STATA, version 14.2; StataCorp; College Station, TX.

Results

Characteristics of study subjects

A total of 307 patients with suspected or confirmed COVID-19 were enrolled in this study. Among them, 2 were subsequently excluded and 9 could not be followed up (2.9%), leaving 296 patients for the main analyses (Fig 2), distributed as follows: 8.2% (24/296) with positive SARS-CoV-2 RT-PCR at admission, 5.7% (17/296) with typical CT-scan lesions and 86.1% (255/296) with highly clinically suspected COVID-19 based on the in-charge physician judgement. The mean age of the overall population was 57 ± 20.8 years, and 146 (47.6%) were men (Table 2). The more common symptoms of COVID-19 were dyspnea (74.9%) cough (62.9%), abnormal thoracic auscultation (48.5%) and chest pain (40.7%).

Fig 2. Study flow chart.

Fig 2

COVID-19: Coronavirus disease 2019; L-POCUS: lung point of care ultrasonography; OSCI: ordinal scale for clinical improvement.

Table 2. Demographic and clinical characteristics of participating patients.

All patients (N = 307)
Epidemiological characteristics
Age (years), mean ± SD 56.94 ± 20.76
Gender, N (%)
 Male 146 (47.6%)
Comorbidities, N (%)
Neurovascular diseases 24 (7.8%)
COPD 26 (8.5%)
Asthma 46 (15.0%)
Hypertension 104 (33.9%)
Diabetes 37 (12.0%)
Active neoplasia 18 (5.9%)
Chronic renal failure 19 (6.2%)
Hepatic insufficiency 6 (1.9%)
Chronic heart failure 26 (8.5%)
Clinical characteristics, N (%)
Confusion or GCS < 15 10 (3.3%)
Cough 193 (62.9%)
Anosmia/ ageusia/ dysgeusia 50 (16.3%)
Dyspnea 230 (74.9%)
Rhinorrhea 52 (16.9%)
Diarrhea 61 (19.9%)
Abnormal pulmonary auscultation 149 (48.5%)
Chest pain 125 (40.7%)
Onset of symptom to, median (IQR), days
ED admission 8,0 (2,0–10,0)
Vital parameters
Heart rate (bpm), mean ± SD 90.67 ± 18.30
SBP (mmHg), mean ± SD 136.43 ± 22.48
Temperature (°C), mean ± SD 37.16 ± 1.00
SpO2 (%), mean ± SD 96.55 ± 3.09
Respiratory rate (rpm), mean ± SD 21.96 ± 6.08
Need for supplemental oxygen, N (%) 85 (27.7%)

BPM: beats per minute; COPD: chronic obstructive pulmonary disease; C(U)RB-65 score: pneumonia scores based on confusion/(urea)/respiratory rate/blood pressure/age ≥ 65; GCS: Glasgow coma scale; IQR: interquartile range; RPM: respirations per minute; RT-PCR: reverse transcriptase polymerase chain reaction; SBP: systolic blood pressure; SD: standard deviation; SpO2: pulse-oximetry; qSOFA score: quick sepsis related organ failure assessment score.

The L-POCUS was performed by an emergency physician considered an expert, an advanced technician, and a novice in 32.2%, 44.3%, and 24.4% of cases, respectively. A CT-scan was performed in 170 patients (55.4%).

Main results

The results of the L-POCUS are outlined in Fig 3 (Fig 3). At Day 14, among 296 analyzable patients, the main outcome had occurred in 8 patients (2.7%; seven had died, and one had required intubation and invasive ventilation). The AUC of L-POCUS was 0.80 (95%CI: 0.60–0.94) (Fig 4, Panel A). The lower value of the 95%CI did not achieve the predefined value of 0.7 necessary to consider the performance of L-POCUS as clinically relevant. In the sensitivity analysis with the 14-day all-cause mortality rate as an outcome, the AUC of L-POCUS was 0.83 (95%CI: 0.66–1). The AUC slightly increased according to the experience of the POCUS operator without significant difference: 0.86 (95%CI: 0.70–0.99), 0.82 (95%CI: 0.34–1) and 0.68 (95%CI: 0.56–0.78), for experts, confirmed or novices, respectively.

Fig 3. Distribution of L-POCUS score according to Ordinal Scale for Clinical Improvement (OSCI) at Day 14.

Fig 3

Fig 4. L-POCUS prognostic performance.

Fig 4

(Panel A) Receiver operating characteristic (ROC)) curve of prognostic performance of global L-POCUS with its area-under-the-curve (AUC) and its 95% confidence interval (95%CI). (Panel B) Receiver operating characteristic (ROC) curve of prognostic performance of L-POCUS with its area-under-the-curve (AUC) and its 95% confidence interval (95%CI) for positive SARS-CoV-2 RT-PCR patients.

The highest L-POCUS score with a sensitivity (Se) of at least 95% was 0 point and the lowest value with a specificity (Sp) of at least 95% was 16 points. Using these cutoffs, 95 patients (32.1%) had a low-risk (score = 0) and none of them had an unfavorable outcome at Day 14 (0%[95%CI: 0.0–3.9]; Se 100%[95%CI: 63.1–100.0]; Sp 33.0%[95%CI: 27.6–38.7]; Positive likelihood ratio (LR+) 1.49[95%CI: 1.4–1.6]; Negative likelihood ratio (LR-) 0; Positive predictive value (PPV) 3.9%[95%CI: 3.7–4.3]; Negative predictive value (NPV) 100%). 184 patients (62.4%) had intermediate-risk (score 1 to 15) and, among them, 4 (2.17%[95%CI: 0.8–5.5]) had an unfavorable outcome (LR+ 0.8[95%CI: 0.5–1.3]; LR- 1.33[95%CI: 0.8–2.1]). Finally, 17 patients (5.7%) had a high-risk (score≥16) and, among them, 4(23.5%) had an unfavorable outcome at Day 14 (23.5%[95%CI: 11.4–42.4]; Se 50%[95%CI: 15.7–84.3]; Sp 95.5%[95%CI: 92.4–97.6]; LR+ 11.1[95%CI: 4.6–26.5]; LR- 0.5[95%CI: 0.3–1.1]; PPV 23.5%[95%CI: 11.4–42.4]; NPV 98.6%[95%CI: 97.2–99.3]). The proportion of patients requiring oxygen therapy was 11.6% (11/95), 33.2% (61/184) and 76.5% (13/17), in the low-risk, intermediate-risk and high-risk subgroup population, respectively.

The AUCs of the risk prediction clinical rules qSOFA and CRB65 without and with addition of the L-POCUS score were 0.52[95%CI: 0.32–0.71] and 0.75[95%CI: 0.56–0.94], and 0.72[95%CI: 0.49–0.95] and 0.82[95%CI: 0.68–0.99], respectively.

Patients with positive SARS-CoV-2 RT-PCR

Among 240 tested patients (78.2%), 58 (24.2%) had a positive SARS-CoV-2 RT-PCR, and among them, 37.9% (22/58) needed oxygen therapy. At Day 14, 4 patients with confirmed COVID-19 were dead (6.9%). In this population, the AUC of L-POCUS was 0.97[95%CI: 0.92–1.00] (Fig 4, Panel B). The AUC was similar in the subgroup of patients requiring oxygen therapy: 0.97[95%CI: 0.852–1.00]. Using the two thresholds defined in the overall cohort, L-POCUS determined 6 patients (10.5%) with low-risk and none of them had an unfavorable outcome at Day 14 (0%[95%CI: 0–21.5]; Se 100%[95%CI: 39.8–100]; Sp 11.3%[95%CI: 4.3–23.0]). Forty-three patients (75.4%) presented an intermediate-risk and none of them had an unfavorable outcome (0% [95%CI: 0–8.2]). Among 8 patients (14.0%) with a high-risk score, 4 had an unfavorable outcome (50.0%[95%CI: 23.7–76.3]; Se 50%[95%CI: 15.7–84.3]; Sp 92.0%[95%CI: 80.8–97.8].

Discussion

In our prospective POCUSCO study of non-severe patients with confirmed or suspected COVID-19, L-POCUS had good results in predicting death or the need for invasive ventilation within the 14 days following ED admission and it appears to be a promising tool for risk stratification. However, because of a lower-than-expected rate of patients with an unfavorable outcome, the 95%CI of our estimates are wide, with an upper value of the AUC not achieving the predefined threshold qualifying clinical relevance with a good level of evidence.

Based on its performance in diagnosing pneumonia and ARDS, L-POCUS ought to be a useful diagnostic and risk stratification tool in the initial assessment of suspected COVID-19 patients [20, 21]. It is currently considered an alternative to physical examination for suspected COVID-19 patients in the emergency department [21]. However, this position is mainly based on expert opinion and few trials have been published. Moreover, most of them are monocentric studies assessing the correlation of L-POCUS with chest CT scans in detecting lung abnormalities suggestive of COVID-19 and/or its value in diagnosing patients with suspected COVID-19. Globally, they suggest a high sensitivity at around 90% but with a low specificity at around 25%, depending on disease prevalence [22, 23]. The integration of L-POCUS with clinical evaluation may also help to identify false-negative results occurring with RT-PCR [23]. L-POCUS would provide an rapid and effective estimate of the extent of the pulmonary histological damage [24].

To our knowledge, only one previous study assessed the performance of L-POCUS in identifying patients with confirmed COVID-19 at risk of deteriorating. Indeed, Rubio-Gracia et al. showed the good prognostic performances of L-POCUS to risk-stratify confirmed COVID-19 patients [9]. Our results therefore provide further important data regarding L-POCUS prognostic performances and interest for triage, especially in the overall population consulting in the ED, with confirmed COVID-19 or in a very large number of cases, in only suspected COVID-19.

Ultrasonography, including L-POCUS, was questioned for its lack of reproducibility, being dependent on the examiner. To avoid this pitfall, standardized procedures have been proposed [25]. We used a revised version of the BLUE-Protocol previously used in patients with ARDS [13]. Based on the assessment of four aeration patterns in twelve chest areas, this score is quick and easy to determine, which is particularly relevant in the ED and in the context of hospital overwhelming [13]. It is important to note that in previous studies, L-POCUS were performed by experienced emergency physicians, all certified for lung ultrasound [26]. In our trial, nearly a quarter of the exams were performed by novice physicians without any significant difference in terms of the AUC from the exams performed by experts. Indeed, a short training with 25 supervised L-POCUS helps novices acquire skills in L-POCUS [27].

With an AUC of 0.80, the global performance of L-POCUS is good in our overall population; similar results were obtained when we used death in the 14 days following inclusion as the outcome. The prognostic performances are even better in the subgroup of patients with positive RT-PCR (lower limit of the AUC > 0.9). These results are particularly relevant in the current context of organized mass screening. When our study was performed, shortly after the start of the epidemic in Europe, PCR could be performed in a minority of the patients with suspected COVID-19. In contrast, virological confirmation of suspected COVID-19 is now rapidly available for all patients consulting in the ED. Hence, the excellent prognostic performances of L-POCUS in the population of patients with confirmed COVID-19 could be useful for initial risk-based triage in the ED. Moreover, recent data suggest that "thickening of the pleural lining, may be an important pattern for L-POCUS assessment of the prognosis of COVID-19 patients [28]. The inclusion of this criterion in a revised version of the score in a future study may improve the risk-stratification performance of L-POCUS for COVID-19 patients.

In terms of implementing L-POCUS as a triaging tool in every day clinical practice, we aimed to stratify the result into three risk categories. The rate of patients requiring oxygen therapy, at any time of their management, was proportional to the L-POCUS risk category. In comparison with low-risk category (11%), the rate of oxygen therapy was 3-fold higher in intermediate risk and 7-fold higher in high-risk category. This result strongly suggest that L-POCUS signs correspond to lung lesions. Importantly, none of the 95 patients who were determined to be low-risk (L-POCUS score = 0) suffered significant deterioration and home treatment may be suitable for these patients if they have no comorbidity or a living condition which precludes this option. It is important to note that only one patient with a L-POCUS score < 6 had an unfavorable outcome within the 14 days following ED admission. This patient was not positive with SARS-CoV-2 and died from pulmonary malignancy. On the other hand, 4 of 17 patients classified as high risk (score ≥ 16) died. All of them had a positive RT-PCR and died from COVID-19. Nevertheless, these results must be considered carefully before using L-POCUS in the early triage of COVID-19 patients, at least as a standalone tool.

In our trial the prognostic performance of the qSOFA and CRB-65 were low but the addition of the L-POCUS to these clinical rules slightly improved their performance in terms of the AUC: +0.23 for qSOFA and +0.1 for CRB-65. These results are complementary to those of Bar et al. showing that a model combining the qSOFA and ultrasound findings has good value as a diagnostic tool (AUC: 0.82 [95%CI: 0.75–0.90]) [29]. The best result was obtained with CRB-65 + L-POCUS (AUC 0.82[95%CI: 0.68–0.99]).

To our knowledge, POCUSCO is the largest multicentric, prospective study evaluating L-POCUS to risk-stratify COVID-19 patients. The most important limitation of this study is the low rate of the primary endpoint. On the basis of the first cohorts of COVID-19 inpatients, we anticipated a rate of mortality or invasive ventilation requirement of 10% [2]. It was 7% in confirmed COVID-19 patients and only 2.4% in our overall cohort. Several factors may explain this discrepancy: differences in the completeness of testing and case identification, variable thresholds for hospitalization and Intensive Care Unit admission, and improvement in patients’ care [30]. Another limitation is our ne methodological choice to include patients who underwent L-POCUS within the first 48 hours of their admission. This exposed us to an unfavorable evolution of COVID-19 patients within 48 hours of their admission, before the realization of their L-POCUS. Unfortunately, we are not able to provide the proportion of L-POCUS performed at ED admission or later within the 48h. Indeed, we did not record the time of the ultrasonography. However, in the centers participating to the study, few medical wards dedicated to care of COVID-19 patients were equipped with an ultrasonography device. Therefore, it is unlikely that an important proportion of patients included in the study had their ultrasonography performed more than 24h after admission to the ED.

Still about the limitations, we excluded patients with a BMI > 35 kg/m2. Yet, obesity has been identified as a condition associated with a higher risk of worsening. Moreover, only a quarter of participating patients had a positive SARS-CoV-2 RT-PCR. The other patients may have had a minor form of COVID-19, or another less severe disease. Finally, in the absence of a derivation model, it is not methodologically justified to assess the calibration of L-POCUS [13]. Another study must be carried out to validate our results on an independent cohort.

Conclusion

L-POCUS allows risk-stratification of suspected or confirmed COVID-19 patients. Using a 36-points score initially defined for ARDS, L-POCUS enabled identification of patients with a low-risk of deterioration (score = 0), whereas 23.6% of patients with a score ≥ 16 died or required invasive ventilation during the 14 days following initial evaluation. Further studies are needed to confirm these results and to determine whether a global multimodal model, integrating L-POCUS score and other considerations, would enable more accurate risk stratification of COVID-19 patients than L-POCUS score alone.

Acknowledgments

We thank all the team of the “Maison de la Recherche Clinique” of CHU Angers and especially Sandra Merzeau and Jean-Marie Chrétien. We also thank all the research team of the Emergency Department of Angers University Hospital, and especially Cindy Augereau, Chloé Ragueneau, Clothilde Aubert and Barbara Maquin.

Data Availability

The datasets used and/or analyzed during the current study are available upon request, by sending your request to the "Délégation à la Recherche Clinique et à l'Innovation Interdépartementale (DRCI)". The DRCI is a territoriality institution about clinical research, who can be requested at the email address DRCI@chu-angers.fr and who will can field data inquiries from fellow researchers.

Funding Statement

This study was carried out with a grant provided by the French Ministry of Health. The sponsor had no role in the design of the study, the collection, the management, the analysis and the interpretation of the data, or the preparation of the manuscript. Apart from this grant, the authors declare no support from any organization for the submitted work. Found: (PHRC-I, April 2020, COVID19_A_001) by French Ministry of Health.

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Decision Letter 0

Robert Jeenchen Chen

4 Dec 2022

PONE-D-22-28983Point-of-care ultrasonography for risk stratification of non-critical suspected COVID-19 patients on admission (POCUSCO): a prospective binational studyPLOS ONE

Dear Dr. Morin,

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Reviewer #1: Yes

Reviewer #2: Yes

**********

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

**********

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Reviewer #1: Yes

Reviewer #2: Yes

**********

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Reviewer #1: Yes

Reviewer #2: Yes

**********

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Reviewer #1: Major comments

Why did you choose the follow-up at 14 days and not until hospital discharge (or in hospital death?)?

How did you classify the emergency physician as an expert, an advanced technician or a novice? Can you provide more details about the training?

The population include mainly outpatient. Patients were not critical with only 27.7% patients who required oxygen at admission and only 2.7% met the primary outcome (death or invasive intubation). This is the main limitation of this study.

It would be interesting to explore the performance of L-POCUS only for the restricted population of COVID19 that required oxygen at admission (moderate or severe patients).

Minor comments

Page 6 line 89: What is the meaning of LUS (The lung ultrasound score ?).

Since the aim of the study is to assess L-POCUS for COVID19 patients, could you provide the proportion of the three following features: the number (%) of i) positive SARS-CoV-2 RT-

PCR, ii) typical CT-scan lesions, iii) highly-suspected COVID-19 based on the in-charge physician judgement?

Reviewer #2: The authors aimed to determine whether lung POCUS is a reliable tool for identifying COVID-19 patients at risk for worsening. To answer this question, they assessed the performance of a score based on B-line intensity (intensity of an interstitial syndrome). I guess that the authors refers to the LUS score. I think it is necessary to name it in the manuscript.

The manuscript is well written. The question is adequately introduced and the statistical analyses used seem appropriate. The outcome is robust.

Nevertheless, I have two main concerns. First of all, the delay for the realization of the ultrasound (within the first 48 hours) seems to me to bring confusion. Patient with COVID-19 can evolve unfavorably during the first 48 hours following admission to the ED. This aspect restricts the range of use of this tool, especially in ED. Could the authors specify the average time between ED admission and the completion of POCUS?

Second, using this score, the authors were able to identify patients who did not die or require mechanical ventilation within 14 days after ED admission. I have some concerns about its relevance in ED. Isn't 14 days far too long to be included in a ED-discharge decision strategy? Do the authors know the proportion of patients that required oxygen administration for each risk class (between ED admission and 14 days)? Could the authors discuss this point ?

However, despite these remarks, I think the paper will meet the criteria for publication.

**********

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Reviewer #1: Yes: Dr. Richard Chocron, MD, PhD

Reviewer #2: No

**********

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PLoS One. 2023 Apr 26;18(4):e0284748. doi: 10.1371/journal.pone.0284748.r002

Author response to Decision Letter 0


29 Jan 2023

Dear Academic Editor,

We thank you for your attention to our study entitled “Point-of-care ultrasonography for risk stratification of non-critical suspected COVID-19 patients on admission (POCUSCO): a prospective binational study” and for giving us the opportunity to improve our manuscript.

Please find enclosed a point-to-point answer to the very useful comments from the Reviewers.

We think that the Reviewers suggestions and the associated revisions have substantially improved the quality of the manuscript. We hope that the editorial staff and Reviewers will find this revised version suitable for publication in the “PLOS One”.

Yours sincerely,

On behalf of all the authors,

Dr. François Morin and Prof. Pierre-Marie Roy  

Response to reviewers’ letter

Please find below our point-by-point responses to all issues raised by the reviewers and the changes we made in our manuscript.

Reviewer #1:

Major comments

Why did you choose the follow-up at 14 days and not until hospital discharge (or in hospital death?)?

Response to reviewers: When we designed this protocol, the scientific literature, derived from patient data infected during the first COVID-19 wave, was unclear, especially which COVID-19 patients required hospitalization. However, as only non-severe patients were included, it was foreseeable that a significant proportion of the included patients could be initially managed at home or with a very short hospitalization. Nevertheless, as observed in our trial, some of them could worsen during the following days; indeed, severe pneumonia usually occurs 7 to 14 days after the first COVID-19 symptoms. Performing a systematic follow-up at Day 14 was more constraining but allowed a rigorous and similar evaluation of our main judgement criterion for all included patients. We could also have proposed an earlier follow-up at 3 days or 7 days, because what we wanted to identify by ultrasound was a subgroup of patients with a low-risk of worsening, who could be safely managed at home. We believe that a 14-day endpoint was a good trade-off. Furthermore, the same endpoint was used in some therapeutic trials (Calvacanti et al. N Engl J Med 2020; Dubée et al. Clin Microbiol Infect 2021).

How did you classify the emergency physician as an expert, an advanced technician, or a novice? Can you provide more details about the training?

Response to reviewer: We thanks the reviewer for this question, which refers to a point that was unclear in the initial version of the manuscript. We used the definition proposed by Po-Yang Tsou et al (Po-Yang Tsou et al. Acad Emerg Med. DOI: 10.1111/acem.13818). They defined advanced ultrasonographers as clinicians with more than 7 days of training in LUS and novice sonographers as physicians with no prior experiences in ultrasound or minimal training (≤7 days) in LUS. The cutoff of 7 days of training was made by consensus among the authors based on training duration specified in the included studies. However, among the “advanced” ultrasonographers, we distinguished a group of practitioners as experts because they had a university degree in advanced lung ultrasound skills enabling them to do teaching, research, and development about ultrasound.

The following precision has been added in “materials and methods” section of the manuscript : “According to Po-Yang Tsou et al., novice sonographers were defined as physicians with no prior experiences in ultrasound and no or minimal training (≤ 7 days) in lung ultrasound; advanced ultrasonographers were defined as clinicians with more than 7 days of training in LUS, and expert ultrasonographers were defined as clinicians with a university degree in advanced lung ultrasound skills enabling them to do teaching, research and development about ultrasound”.

The population include mainly outpatient. Patients were not critical with only 27.7% patients who required oxygen at admission and only 2.7% met the primary outcome (death or invasive intubation). This is the main limitation of this study. It would be interesting to explore the performance of L-POCUS only for the restricted population of COVID19 that required oxygen at admission (moderate or severe patients).

Response to reviewer: We thank the reviewer for this suggestion. The AUC of L-POCUS in this subgroup of patients was 0.97 [95%CI: 0.85–1.00].

We added this result in the “Patients with Positive SARS-CoV-2 RT-PCR” section, as follows: “Among 240 tested patients (78.2%), 58 (24.2%) had a positive SARS-CoV-2 RT-PCR, and among them, 37.9% (22/58) needed oxygen therapy. At Day 14, 4 patients with confirmed COVID-19 were dead (6.9%). In this population, the AUC of L-POCUS was 0.97[95%CI: 0.92–1.00] (Fig 4, Panel B). The AUC was similar in the subgroup of patients requiring oxygen therapy: 0.97[95%CI: 0.852–1.00].”

Minor comments

Page 6 line 89: What is the meaning of LUS (The lung ultrasound score?).

Response to reviewer: We thank the reviewer for his/her vigilance and have replaced LUS by “L-POCUS” in the whole manuscript.

Since the aim of the study is to assess L-POCUS for COVID19 patients, could you provide the proportion of the three following features: the number (%) of i) positive SARS-CoV-2 RT-

PCR, ii) typical CT-scan lesions, iii) highly-suspected COVID-19 based on the in-charge physician judgement?

Response to reviewer : As proposed by the reviewer, the proportion of the three categories of included patients has been clarified in the manuscript, with the sentence: “Among them, 2 were subsequently excluded and 9 could not be followed up (2.9%), leaving 296 patients for the main analyses (Fig 2), distributed as follows: 8.2% (24/296) with positive SARS-CoV-2 RT-PCR at admission, 5.7% (17/296) with typical CT-scan lesions and 86.1% (255/296) with highly clinically suspected COVID-19 based on the in-charge physician judgement” 

Reviewer #2:

The authors aimed to determine whether lung POCUS is a reliable tool for identifying COVID-19 patients at risk for worsening. To answer this question, they assessed the performance of a score based on B-line intensity (intensity of an interstitial syndrome). I guess that the authors refers to the LUS score. I think it is necessary to name it in the manuscript.

Response to reviewer: We agree with this comment and have added this precision in the manuscript: “Four ultrasound aeration patterns were defined and scored 0 to 3, allowing calculation of the L-POCUS score, theoretically ranging from 0 to 36 (named Lung Ultrasound Score (LUS) by Zhao et al.) (Fig 1).”

The manuscript is well written. The question is adequately introduced, and the statistical analyses used seem appropriate. The outcome is robust.

Nevertheless, I have two main concerns.

First of all, the delay for the realization of the ultrasound (within the first 48 hours) seems to me to bring confusion. Patient with COVID-19 can evolve unfavorably during the first 48 hours following admission to the ED. This aspect restricts the range of use of this tool, especially in ED. Could the authors specify the average time between ED admission and the completion of POCUS?

Response to reviewer: We agree with this comment. The entire team, on behalf of all the inclusion centers, gives you the assurance that the vast majority of L-POCUS were carried out at the emergency department admission. Unfortunately, we are not able to provide the proportion of L-POCUS performed at ED admission or later within the 48h. Indeed, we did not record the time of the ultrasonography. However, in the centers participating to the study, few medical wards dedicated to care of COVID-19 patients were equipped with an ultrasonography device. Therefore, it is unlikely that an important proportion of patients included in the study had their ultrasonography performed more than 24h after admission to the ED. This point has been added in the limitations section of the manuscript.

Second, using this score, the authors were able to identify patients who did not die or require mechanical ventilation within 14 days after ED admission. I have some concerns about its relevance in ED. Isn't 14 days far too long to be included in a ED-discharge decision strategy? Do the authors know the proportion of patients that required oxygen administration for each risk class (between ED admission and 14 days)? Could the authors discuss this point ?

Response to reviewer: We agree with this comment about the relevance of this tool in the context of a discharge strategy. However, when the protocol was drafted (February 2020), scientific evidence suggested that the onset time of COVID-19-related ARDS was 8–12 days, which was inconsistent with ARDS Berlin criteria, which defined a 1-week onset limit (Li et al. Crit Care. DOI : 10.1186/s13054-020-02911-9). It therefore seemed relevant to choose Day 14 because this time allowed us to know the evolution of all patients, including those who would consult within the first hours of onset of their symptoms and who would have a late adverse course. Patients usually consult in the emergency department a few days after the onset of symptoms (median delay between symptom onset and ED admission of 8 days in our study). In these patients, an unfavorable evolution in the hours or first days after admission is therefore likely and screening by pleuropulmonary ultrasound to assess this short-term risk is therefore quite interesting, especially if their RT-status COVID PCR is known (AUC 0.97[95%CI: 0.92–1.00]).

Do the authors know the proportion of patients that required oxygen administration for each risk class (between ED admission and 14 days)? Could the authors discuss this point ?

Response to reviewer: We thank the reviewer for this suggestion and we mentioned the proportion of patients requiring oxygen therapy for each risk class as follow: “ The proportion of patients requiring oxygen therapy was 11.6% (11/95), 33.2% (61/184) and 76.5% (13/17), in the low-risk, intermediate-risk and high-risk subgroup population, respectively.” A discussion of this point has been added in the discussion section: “The rate of patients requiring oxygen therapy, at any time of their management, was proportional to the L-POCUS risk category. In comparison with low-risk category (11%), the rate of oxygen therapy was 3-fold higher in intermediate-risk and 7-fold higher in high-risk L-POCUS category. This result strongly suggest that L-POCUS signs correspond to lung lesions.” In addition to this, as mentioned in the response to the first reviewer, the analyze of the performance of L-POCUS in the restricted population of positive COVID-19 patients that required oxygen at admission has been added: “Among 240 tested patients (78.2%), 58 (24.2%) had a positive SARS-CoV-2 RT-PCR, and among them, 37.9% (22/58) need oxygen therapy. At Day 14, 4 patients with confirmed COVID-19 were dead (6.9%). In this population, the AUC of L-POCUS was 0.97[95%CI: 0.92–1.00] (Fig 4, Panel B). The AUC was similar in the subgroup of patients requiring oxygen therapy: 0.97[95%CI: 0.852–1.00].”

Attachment

Submitted filename: Response to reviewers_POCUSCO_PLOSOne_16012023.docx

Decision Letter 1

Robert Jeenchen Chen

10 Apr 2023

Point-of-care ultrasonography for risk stratification of non-critical suspected COVID-19 patients on admission (POCUSCO): a prospective binational study

PONE-D-22-28983R1

Dear Dr. Morin,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

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Reviewer #1: Yes

Reviewer #2: Yes

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Acceptance letter

Robert Jeenchen Chen

14 Apr 2023

PONE-D-22-28983R1

Point-of-care ultrasonography for risk stratification of non-critical suspected COVID-19 patients on admission (POCUSCO): a prospective binational study

Dear Dr. Morin:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

If we can help with anything else, please email us at plosone@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Robert Jeenchen Chen

Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    Attachment

    Submitted filename: Response to reviewers_POCUSCO_PLOSOne_16012023.docx

    Data Availability Statement

    The datasets used and/or analyzed during the current study are available upon request, by sending your request to the "Délégation à la Recherche Clinique et à l'Innovation Interdépartementale (DRCI)". The DRCI is a territoriality institution about clinical research, who can be requested at the email address DRCI@chu-angers.fr and who will can field data inquiries from fellow researchers.


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