| Title |
Severity of lung involvement on chest X-rays in SARS-coronavirus-2 infected patients as a possible tool to predict clinical progression: an observational retrospective analysis of the relationship between radiological, clinical, and laboratory data
|
|---|---|
| Published in |
Jornal de Pneumologia, January 2020
|
| DOI | 10.36416/1806-3756/e20200226 |
| Pubmed ID | |
| Authors |
Elisa Baratella, Paola Crivelli, Cristina Marrocchio, Alessandro Marco Bozzato, Andrea De Vito, Giordano Madeddu, Laura Saderi, Marco Confalonieri, Luigi Tenaglia, Maria Assunta Cova |
| Abstract |
To investigate the diagnostic accuracy of a chest X-ray (CXR) score and of clinical and laboratory data in predicting the clinical course of patients with SARS coronavirus 2 (SARS-CoV-2) infection. This is a pilot multicenter retrospective study including patients with SARS-CoV-2 infection admitted to the ERs in three hospitals in Italy between February and March of 2020. Two radiologists independently evaluated the baseline CXR of the patients using a semi-quantitative score to determine the severity of lung involvement: a score of 0 represented no lung involvement, whereas scores of 1 to 4 represented the first (less severe) to the fourth (more severe) quartiles regarding the severity of lung involvement. Relevant clinical and laboratory data were collected. The outcome of patients was defined as severe if noninvasive ventilation (NIV) or intubation was necessary, or if the patient died. Our sample comprised 140 patients. Most of the patients were symptomatic (132/138; 95.7%), and 133/140 patients (95.0%) presented with opacities on CXR at admission. Of the 140 patients, 7 (5.0%) showed no lung involvement, whereas 58 (41.4%), 31 (22.1%), 26 (18.6%), and 18 (12.9%), respectively, scored 1, 2, 3, and 4. In our sample, 66 patients underwent NIV or intubation, 37 of whom scored 1 or 2 on baseline CXR, and 28 patients died. The severity score based on CXR seems to be able to predict the clinical progression in cases that scored 0, 3, or 4. However, the score alone cannot predict the clinical progression in patients with mild-to-moderate parenchymal involvement (scores 1 and 2). |
X Demographics
The data shown below were collected from the profiles of 285 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 89 | 31% |
| Venezuela, Bolivarian Republic of | 8 | 3% |
| Colombia | 6 | 2% |
| Ecuador | 6 | 2% |
| United States | 4 | 1% |
| Guatemala | 4 | 1% |
| El Salvador | 3 | 1% |
| Argentina | 2 | <1% |
| France | 2 | <1% |
| Other | 19 | 7% |
| Unknown | 142 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 277 | 97% |
| Practitioners (doctors, other healthcare professionals) | 6 | 2% |
| Scientists | 1 | <1% |
| Science communicators (journalists, bloggers, editors) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 83 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 10% |
| Student > Bachelor | 7 | 8% |
| Student > Master | 6 | 7% |
| Other | 6 | 7% |
| Student > Doctoral Student | 5 | 6% |
| Other | 13 | 16% |
| Unknown | 38 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 29% |
| Computer Science | 4 | 5% |
| Engineering | 4 | 5% |
| Nursing and Health Professions | 2 | 2% |
| Psychology | 2 | 2% |
| Other | 4 | 5% |
| Unknown | 43 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 167. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 January 2021.
All research outputs
#252,253
of 26,096,076 outputs
Outputs from Jornal de Pneumologia
#2
of 729 outputs
Outputs of similar age
#6,067
of 482,406 outputs
Outputs of similar age from Jornal de Pneumologia
#1
of 44 outputs
Altmetric has tracked 26,096,076 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 729 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 99% of its peers.
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We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.