Clinical Characteristics and Risk Factors of Mortality Among Severe COVID-19 Patients Article Swipe
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.21203/rs.3.rs-166002/v1
Background:The novel corona virus is attacking several millions of people worldwide, resulting in death of almost a million and a half-humans. The rational of the current study was to detect clinical characteristics of severe COVID- 19 patients, and assessment of risk factors for death.Methodology:This retrospective cohort study included all laboratory confirmed COVID-19 patients with severe disease admitted to critical care unit in June and July 2020. All recorded data were collected,which included clinincal, radiological, and laboratory data, in addition to the outcome and duration of ICU stay.Statistical analysis was performed for obtaining descriptive information, comparison between living and dead patients,in addition to regression analysis to identify risk factors for mortality.Results:One hundred and three patients were included in the current study;cough and fever were the most common clinical presentations, and bilateral ground glass opacity was the most common radiological presentation. Patients had elevated values of neutrophils, neutrophil lymphocyte ratio (NLR), platelet lymphocyte ratio (PLR), serum ferritin, CRP, and D-dimer, also had longer ICU stay ,with reduced values of lymphocytes, and PaO2/FIO2 ratio. Most of these variables were more exaggerated in dead patients compared to living ones. Older age, lower values of PaO2/FIO2 ratio, and higher values of neutrophils, NLR, and D-dimer were predictors for death.Conclusion: Cough, fever and bilateral ground glass opacity were the most common clinical and radiological presentation of severe COVID 19. Older age, lower value of PaO2/FIO2 ratio, and higher values of D- dimer, neutrophil and NLR were risk factors associated with increased risk of mortality.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.21203/rs.3.rs-166002/v1
- https://www.researchsquare.com/article/rs-166002/latest.pdf
- OA Status
- gold
- References
- 19
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3127318156
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3127318156Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.21203/rs.3.rs-166002/v1Digital Object Identifier
- Title
-
Clinical Characteristics and Risk Factors of Mortality Among Severe COVID-19 PatientsWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-02-08Full publication date if available
- Authors
-
Reham M. El-Morshedy, Maha Elkholy, Alaa Eldin Abdel-Moniem, Shimaa Abbas Hassan, Samiaa Hamdy SadekList of authors in order
- Landing page
-
https://doi.org/10.21203/rs.3.rs-166002/v1Publisher landing page
- PDF URL
-
https://www.researchsquare.com/article/rs-166002/latest.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.researchsquare.com/article/rs-166002/latest.pdfDirect OA link when available
- Concepts
-
Coronavirus disease 2019 (COVID-19), 2019-20 coronavirus outbreak, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Medicine, Intensive care medicine, Internal medicine, Virology, Outbreak, Disease, Infectious disease (medical specialty)Top concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
19Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W3127318156 |
|---|---|
| doi | https://doi.org/10.21203/rs.3.rs-166002/v1 |
| ids.doi | https://doi.org/10.21203/rs.3.rs-166002/v1 |
| ids.mag | 3127318156 |
| ids.openalex | https://openalex.org/W3127318156 |
| fwci | |
| type | preprint |
| title | Clinical Characteristics and Risk Factors of Mortality Among Severe COVID-19 Patients |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T10041 |
| topics[0].field.id | https://openalex.org/fields/27 |
| topics[0].field.display_name | Medicine |
| topics[0].score | 0.9998000264167786 |
| topics[0].domain.id | https://openalex.org/domains/4 |
| topics[0].domain.display_name | Health Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2725 |
| topics[0].subfield.display_name | Infectious Diseases |
| topics[0].display_name | COVID-19 Clinical Research Studies |
| topics[1].id | https://openalex.org/T11368 |
| topics[1].field.id | https://openalex.org/fields/27 |
| topics[1].field.display_name | Medicine |
| topics[1].score | 0.9991000294685364 |
| topics[1].domain.id | https://openalex.org/domains/4 |
| topics[1].domain.display_name | Health Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2728 |
| topics[1].subfield.display_name | Neurology |
| topics[1].display_name | Long-Term Effects of COVID-19 |
| topics[2].id | https://openalex.org/T11296 |
| topics[2].field.id | https://openalex.org/fields/27 |
| topics[2].field.display_name | Medicine |
| topics[2].score | 0.995199978351593 |
| topics[2].domain.id | https://openalex.org/domains/4 |
| topics[2].domain.display_name | Health Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2730 |
| topics[2].subfield.display_name | Oncology |
| topics[2].display_name | COVID-19 and healthcare impacts |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C3008058167 |
| concepts[0].level | 4 |
| concepts[0].score | 0.7720721960067749 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q84263196 |
| concepts[0].display_name | Coronavirus disease 2019 (COVID-19) |
| concepts[1].id | https://openalex.org/C3006700255 |
| concepts[1].level | 3 |
| concepts[1].score | 0.4582776725292206 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q81068910 |
| concepts[1].display_name | 2019-20 coronavirus outbreak |
| concepts[2].id | https://openalex.org/C3007834351 |
| concepts[2].level | 5 |
| concepts[2].score | 0.44440487027168274 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q82069695 |
| concepts[2].display_name | Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) |
| concepts[3].id | https://openalex.org/C71924100 |
| concepts[3].level | 0 |
| concepts[3].score | 0.4268541634082794 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q11190 |
| concepts[3].display_name | Medicine |
| concepts[4].id | https://openalex.org/C177713679 |
| concepts[4].level | 1 |
| concepts[4].score | 0.33001577854156494 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q679690 |
| concepts[4].display_name | Intensive care medicine |
| concepts[5].id | https://openalex.org/C126322002 |
| concepts[5].level | 1 |
| concepts[5].score | 0.3120182156562805 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q11180 |
| concepts[5].display_name | Internal medicine |
| concepts[6].id | https://openalex.org/C159047783 |
| concepts[6].level | 1 |
| concepts[6].score | 0.2337506115436554 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q7215 |
| concepts[6].display_name | Virology |
| concepts[7].id | https://openalex.org/C116675565 |
| concepts[7].level | 2 |
| concepts[7].score | 0.12192955613136292 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q3241045 |
| concepts[7].display_name | Outbreak |
| concepts[8].id | https://openalex.org/C2779134260 |
| concepts[8].level | 2 |
| concepts[8].score | 0.11685687303543091 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q12136 |
| concepts[8].display_name | Disease |
| concepts[9].id | https://openalex.org/C524204448 |
| concepts[9].level | 3 |
| concepts[9].score | 0.05807676911354065 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q788926 |
| concepts[9].display_name | Infectious disease (medical specialty) |
| keywords[0].id | https://openalex.org/keywords/coronavirus-disease-2019 |
| keywords[0].score | 0.7720721960067749 |
| keywords[0].display_name | Coronavirus disease 2019 (COVID-19) |
| keywords[1].id | https://openalex.org/keywords/2019-20-coronavirus-outbreak |
| keywords[1].score | 0.4582776725292206 |
| keywords[1].display_name | 2019-20 coronavirus outbreak |
| keywords[2].id | https://openalex.org/keywords/severe-acute-respiratory-syndrome-coronavirus-2 |
| keywords[2].score | 0.44440487027168274 |
| keywords[2].display_name | Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) |
| keywords[3].id | https://openalex.org/keywords/medicine |
| keywords[3].score | 0.4268541634082794 |
| keywords[3].display_name | Medicine |
| keywords[4].id | https://openalex.org/keywords/intensive-care-medicine |
| keywords[4].score | 0.33001577854156494 |
| keywords[4].display_name | Intensive care medicine |
| keywords[5].id | https://openalex.org/keywords/internal-medicine |
| keywords[5].score | 0.3120182156562805 |
| keywords[5].display_name | Internal medicine |
| keywords[6].id | https://openalex.org/keywords/virology |
| keywords[6].score | 0.2337506115436554 |
| keywords[6].display_name | Virology |
| keywords[7].id | https://openalex.org/keywords/outbreak |
| keywords[7].score | 0.12192955613136292 |
| keywords[7].display_name | Outbreak |
| keywords[8].id | https://openalex.org/keywords/disease |
| keywords[8].score | 0.11685687303543091 |
| keywords[8].display_name | Disease |
| keywords[9].id | https://openalex.org/keywords/infectious-disease |
| keywords[9].score | 0.05807676911354065 |
| keywords[9].display_name | Infectious disease (medical specialty) |
| language | en |
| locations[0].id | doi:10.21203/rs.3.rs-166002/v1 |
| locations[0].is_oa | True |
| locations[0].source | |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://www.researchsquare.com/article/rs-166002/latest.pdf |
| locations[0].version | acceptedVersion |
| locations[0].raw_type | posted-content |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | https://doi.org/10.21203/rs.3.rs-166002/v1 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5047068025 |
| authorships[0].author.orcid | https://orcid.org/0000-0001-5896-0897 |
| authorships[0].author.display_name | Reham M. El-Morshedy |
| authorships[0].countries | EG |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I91041137 |
| authorships[0].affiliations[0].raw_affiliation_string | Assiut University Faculty of Medicine |
| authorships[0].institutions[0].id | https://openalex.org/I91041137 |
| authorships[0].institutions[0].ror | https://ror.org/01jaj8n65 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I91041137 |
| authorships[0].institutions[0].country_code | EG |
| authorships[0].institutions[0].display_name | Assiut University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Reham Mohamed Elmorshedy |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Assiut University Faculty of Medicine |
| authorships[1].author.id | https://openalex.org/A5103902100 |
| authorships[1].author.orcid | https://orcid.org/0009-0000-1079-536X |
| authorships[1].author.display_name | Maha Elkholy |
| authorships[1].countries | EG |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I4210123884 |
| authorships[1].affiliations[0].raw_affiliation_string | Assiut University Hospital |
| authorships[1].institutions[0].id | https://openalex.org/I4210123884 |
| authorships[1].institutions[0].ror | https://ror.org/02w5pxz31 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I4210123884 |
| authorships[1].institutions[0].country_code | EG |
| authorships[1].institutions[0].display_name | Assiut University Hospitals |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Maha Mohamed El-kholy |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Assiut University Hospital |
| authorships[2].author.id | https://openalex.org/A5112881188 |
| authorships[2].author.orcid | |
| authorships[2].author.display_name | Alaa Eldin Abdel-Moniem |
| authorships[2].countries | EG |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I4210123884 |
| authorships[2].affiliations[0].raw_affiliation_string | Assiut University Hospital |
| authorships[2].institutions[0].id | https://openalex.org/I4210123884 |
| authorships[2].institutions[0].ror | https://ror.org/02w5pxz31 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I4210123884 |
| authorships[2].institutions[0].country_code | EG |
| authorships[2].institutions[0].display_name | Assiut University Hospitals |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Alaa Eldin AbdelMoniem |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Assiut University Hospital |
| authorships[3].author.id | https://openalex.org/A5007585278 |
| authorships[3].author.orcid | |
| authorships[3].author.display_name | Shimaa Abbas Hassan |
| authorships[3].countries | EG |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I4210123884 |
| authorships[3].affiliations[0].raw_affiliation_string | Assiut University Hospital |
| authorships[3].institutions[0].id | https://openalex.org/I4210123884 |
| authorships[3].institutions[0].ror | https://ror.org/02w5pxz31 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I4210123884 |
| authorships[3].institutions[0].country_code | EG |
| authorships[3].institutions[0].display_name | Assiut University Hospitals |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Shimaa Abbas Hassan |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Assiut University Hospital |
| authorships[4].author.id | https://openalex.org/A5003634592 |
| authorships[4].author.orcid | https://orcid.org/0000-0002-1668-2689 |
| authorships[4].author.display_name | Samiaa Hamdy Sadek |
| authorships[4].countries | EG |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I4210123884 |
| authorships[4].affiliations[0].raw_affiliation_string | Assiut University Hospital |
| authorships[4].institutions[0].id | https://openalex.org/I4210123884 |
| authorships[4].institutions[0].ror | https://ror.org/02w5pxz31 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I4210123884 |
| authorships[4].institutions[0].country_code | EG |
| authorships[4].institutions[0].display_name | Assiut University Hospitals |
| authorships[4].author_position | last |
| authorships[4].raw_author_name | Samiaa Hamdy Sadek |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Assiut University Hospital |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.researchsquare.com/article/rs-166002/latest.pdf |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Clinical Characteristics and Risk Factors of Mortality Among Severe COVID-19 Patients |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10041 |
| primary_topic.field.id | https://openalex.org/fields/27 |
| primary_topic.field.display_name | Medicine |
| primary_topic.score | 0.9998000264167786 |
| primary_topic.domain.id | https://openalex.org/domains/4 |
| primary_topic.domain.display_name | Health Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2725 |
| primary_topic.subfield.display_name | Infectious Diseases |
| primary_topic.display_name | COVID-19 Clinical Research Studies |
| related_works | https://openalex.org/W3036314732, https://openalex.org/W3009669391, https://openalex.org/W3176864053, https://openalex.org/W3171943759, https://openalex.org/W4292098121, https://openalex.org/W3154141118, https://openalex.org/W4388896133, https://openalex.org/W3031607536, https://openalex.org/W4224279380, https://openalex.org/W4205317059 |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.21203/rs.3.rs-166002/v1 |
| best_oa_location.is_oa | True |
| best_oa_location.source | |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://www.researchsquare.com/article/rs-166002/latest.pdf |
| best_oa_location.version | acceptedVersion |
| best_oa_location.raw_type | posted-content |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | https://doi.org/10.21203/rs.3.rs-166002/v1 |
| primary_location.id | doi:10.21203/rs.3.rs-166002/v1 |
| primary_location.is_oa | True |
| primary_location.source | |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://www.researchsquare.com/article/rs-166002/latest.pdf |
| primary_location.version | acceptedVersion |
| primary_location.raw_type | posted-content |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | https://doi.org/10.21203/rs.3.rs-166002/v1 |
| publication_date | 2021-02-08 |
| publication_year | 2021 |
| referenced_works | https://openalex.org/W3001118548, https://openalex.org/W3011176674, https://openalex.org/W6776040457, https://openalex.org/W3040656024, https://openalex.org/W3019336217, https://openalex.org/W3028583791, https://openalex.org/W3047144258, https://openalex.org/W3008827533, https://openalex.org/W3007273493, https://openalex.org/W3011610993, https://openalex.org/W3016987930, https://openalex.org/W3093206297, https://openalex.org/W2086697603, https://openalex.org/W3005057182, https://openalex.org/W3014080169, https://openalex.org/W2999409984, https://openalex.org/W3107080656, https://openalex.org/W4249605962, https://openalex.org/W2025708528 |
| referenced_works_count | 19 |
| abstract_inverted_index.a | 17, 20 |
| abstract_inverted_index.19 | 36 |
| abstract_inverted_index.D- | 235 |
| abstract_inverted_index.in | 13, 62, 78, 117, 179 |
| abstract_inverted_index.is | 5 |
| abstract_inverted_index.of | 9, 15, 24, 33, 40, 85, 144, 167, 173, 190, 196, 220, 228, 234, 247 |
| abstract_inverted_index.to | 29, 58, 80, 102, 105, 183 |
| abstract_inverted_index.19. | 223 |
| abstract_inverted_index.All | 67 |
| abstract_inverted_index.ICU | 86, 162 |
| abstract_inverted_index.NLR | 239 |
| abstract_inverted_index.The | 22 |
| abstract_inverted_index.all | 49 |
| abstract_inverted_index.and | 19, 38, 64, 75, 83, 98, 112, 121, 129, 157, 169, 193, 199, 207, 217, 231, 238 |
| abstract_inverted_index.for | 43, 91, 109, 203 |
| abstract_inverted_index.had | 141, 160 |
| abstract_inverted_index.the | 25, 81, 118, 124, 135, 213 |
| abstract_inverted_index.was | 28, 89, 134 |
| abstract_inverted_index.CRP, | 156 |
| abstract_inverted_index.July | 65 |
| abstract_inverted_index.June | 63 |
| abstract_inverted_index.Most | 172 |
| abstract_inverted_index.NLR, | 198 |
| abstract_inverted_index.age, | 187, 225 |
| abstract_inverted_index.also | 159 |
| abstract_inverted_index.care | 60 |
| abstract_inverted_index.data | 69 |
| abstract_inverted_index.dead | 99, 180 |
| abstract_inverted_index.more | 177 |
| abstract_inverted_index.most | 125, 136, 214 |
| abstract_inverted_index.risk | 41, 107, 241, 246 |
| abstract_inverted_index.stay | 163 |
| abstract_inverted_index.unit | 61 |
| abstract_inverted_index.were | 70, 115, 123, 176, 201, 212, 240 |
| abstract_inverted_index.with | 54, 244 |
| abstract_inverted_index.,with | 164 |
| abstract_inverted_index.2020. | 66 |
| abstract_inverted_index.COVID | 222 |
| abstract_inverted_index.Older | 186, 224 |
| abstract_inverted_index.data, | 77 |
| abstract_inverted_index.death | 14 |
| abstract_inverted_index.fever | 122, 206 |
| abstract_inverted_index.glass | 132, 210 |
| abstract_inverted_index.lower | 188, 226 |
| abstract_inverted_index.novel | 2 |
| abstract_inverted_index.ones. | 185 |
| abstract_inverted_index.ratio | 148, 152 |
| abstract_inverted_index.serum | 154 |
| abstract_inverted_index.study | 27, 47 |
| abstract_inverted_index.these | 174 |
| abstract_inverted_index.three | 113 |
| abstract_inverted_index.value | 227 |
| abstract_inverted_index.virus | 4 |
| abstract_inverted_index.(NLR), | 149 |
| abstract_inverted_index.(PLR), | 153 |
| abstract_inverted_index.COVID- | 35 |
| abstract_inverted_index.Cough, | 205 |
| abstract_inverted_index.almost | 16 |
| abstract_inverted_index.cohort | 46 |
| abstract_inverted_index.common | 126, 137, 215 |
| abstract_inverted_index.corona | 3 |
| abstract_inverted_index.detect | 30 |
| abstract_inverted_index.dimer, | 236 |
| abstract_inverted_index.ground | 131, 209 |
| abstract_inverted_index.higher | 194, 232 |
| abstract_inverted_index.living | 97, 184 |
| abstract_inverted_index.longer | 161 |
| abstract_inverted_index.people | 10 |
| abstract_inverted_index.ratio, | 192, 230 |
| abstract_inverted_index.ratio. | 171 |
| abstract_inverted_index.severe | 34, 55, 221 |
| abstract_inverted_index.values | 143, 166, 189, 195, 233 |
| abstract_inverted_index.D-dimer | 200 |
| abstract_inverted_index.between | 96 |
| abstract_inverted_index.current | 26, 119 |
| abstract_inverted_index.disease | 56 |
| abstract_inverted_index.factors | 42, 108, 242 |
| abstract_inverted_index.hundred | 111 |
| abstract_inverted_index.million | 18 |
| abstract_inverted_index.opacity | 133, 211 |
| abstract_inverted_index.outcome | 82 |
| abstract_inverted_index.reduced | 165 |
| abstract_inverted_index.several | 7 |
| abstract_inverted_index.COVID-19 | 52 |
| abstract_inverted_index.D-dimer, | 158 |
| abstract_inverted_index.Patients | 140 |
| abstract_inverted_index.addition | 79, 101 |
| abstract_inverted_index.admitted | 57 |
| abstract_inverted_index.analysis | 88, 104 |
| abstract_inverted_index.clinical | 31, 127, 216 |
| abstract_inverted_index.compared | 182 |
| abstract_inverted_index.critical | 59 |
| abstract_inverted_index.duration | 84 |
| abstract_inverted_index.elevated | 142 |
| abstract_inverted_index.identify | 106 |
| abstract_inverted_index.included | 48, 72, 116 |
| abstract_inverted_index.millions | 8 |
| abstract_inverted_index.patients | 53, 114, 181 |
| abstract_inverted_index.platelet | 150 |
| abstract_inverted_index.rational | 23 |
| abstract_inverted_index.recorded | 68 |
| abstract_inverted_index.attacking | 6 |
| abstract_inverted_index.bilateral | 130, 208 |
| abstract_inverted_index.confirmed | 51 |
| abstract_inverted_index.ferritin, | 155 |
| abstract_inverted_index.increased | 245 |
| abstract_inverted_index.obtaining | 92 |
| abstract_inverted_index.patients, | 37 |
| abstract_inverted_index.performed | 90 |
| abstract_inverted_index.resulting | 12 |
| abstract_inverted_index.variables | 175 |
| abstract_inverted_index.assessment | 39 |
| abstract_inverted_index.associated | 243 |
| abstract_inverted_index.clinincal, | 73 |
| abstract_inverted_index.comparison | 95 |
| abstract_inverted_index.laboratory | 50, 76 |
| abstract_inverted_index.lymphocyte | 147, 151 |
| abstract_inverted_index.mortality. | 248 |
| abstract_inverted_index.neutrophil | 146, 237 |
| abstract_inverted_index.predictors | 202 |
| abstract_inverted_index.regression | 103 |
| abstract_inverted_index.worldwide, | 11 |
| abstract_inverted_index.descriptive | 93 |
| abstract_inverted_index.exaggerated | 178 |
| abstract_inverted_index.patients,in | 100 |
| abstract_inverted_index.study;cough | 120 |
| abstract_inverted_index.half-humans. | 21 |
| abstract_inverted_index.information, | 94 |
| abstract_inverted_index.lymphocytes, | 168 |
| abstract_inverted_index.neutrophils, | 145, 197 |
| abstract_inverted_index.presentation | 219 |
| abstract_inverted_index.radiological | 138, 218 |
| abstract_inverted_index.presentation. | 139 |
| abstract_inverted_index.radiological, | 74 |
| abstract_inverted_index.retrospective | 45 |
| abstract_inverted_index.presentations, | 128 |
| abstract_inverted_index.characteristics | 32 |
| abstract_inverted_index.collected,which | 71 |
| abstract_inverted_index.stay.Statistical | 87 |
| abstract_inverted_index.<title>Abstract</title> | 0 |
| abstract_inverted_index.<bold>Background:</bold>The | 1 |
| abstract_inverted_index.death.<bold>Conclusion:</bold> | 204 |
| abstract_inverted_index.PaO<sub>2</sub>/FIO<sub>2</sub> | 170, 191, 229 |
| abstract_inverted_index.mortality.<bold>Results:</bold>One | 110 |
| abstract_inverted_index.death.<bold>Methodology:</bold>This | 44 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.8700000047683716 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.01138856 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |