The Prevalence of Co-Infections in Hospitalized Patients with COVID-19 Article Swipe
Introduction: The Coronavirus disease 2019 (COVID-19) pandemic emerged in early 2020 and significantly altered the landscape of healthcare delivery. With the absence of a cure, treatment of hospitalized patients with COVID-19 has been particularly challenging. Physicians often treat hospitalized patients empirically with broad-spectrum antibiotics on admission due to concerns of missing an underlying, treatable co-infection. In this study, we aim to determine the rate of co-infections in hospitalized patients with SARS-CoV-2.\nMethods: We conducted a retrospective study which included all patients who had a nasopharyngeal swab sample positive for SARS-CoV-2 infection detected by the Cepheid Real-Time Polymerase Chain Reaction (RT-PCT) test at the Detroit Medical Center in April 2020. Of 409 patients with SARS-CoV-2 infection, 390 had sputum or blood cultures ordered during their hospitalization. The results of each culture were examined, and the isolated organisms and date of the culture positivity were documented. We analyzed the results of non-culture tests such as urine legionella antigen, urine pneumococcal antigen, and influenza A and B PCR.\nResults: Ninety four patients had a respiratory culture ordered, out of which 38 (40%) returned positive. Of these 38 patients, 12 patients had a positive culture within three days of admission. A total of 296 patients had a blood culture ordered out of which 30 (10%) returned positive. Of these 30 patients, 21 patients had a positive culture within the first three days of admission. A total of 126 urine legionella antigen tests were obtained, 0 of which returned positive. Out of the 125 urine pneumococcal antigens ordered, only 4 (3.1%) were positive. 221 patients were tested for Influenza A and B PCR, and 0 tested positive.\nConclusions: Based on our findings, respiratory co-infections appear to be uncommon on initial presentation to the hospital in patients with the COVID-19 infection. Although only 10% of the total blood cultures obtained during hospitalization returned positive, around 70% of those (21 out of 30) were positive on admission. Based on our data, urine pneumococcal and urine legionella antigens appear to have no role in the evaluation of secondary bacterial infections in patients with SARS-CoV-2 infection.\nWhen in doubt, physicians should obtain respiratory and blood cultures to better guide management. Empiric antibiotic therapy on admission does not appear to be warranted in the majority of patients and discontinuation of empiric antibiotics should be guided based on culture results.
Related Topics
Concepts
Coronavirus disease 2019 (COVID-19)
Medicine
Pandemic
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
Virology
2019-20 coronavirus outbreak
Pneumonia
Outbreak
Internal medicine
Disease
Infectious disease (medical specialty)
Metadata
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- Language
- en
- Landing Page
- https://digitalcommons.wayne.edu/som_srs/114
- https://digitalcommons.wayne.edu/som_srs/114
- OA Status
- green
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- 20
- OpenAlex ID
- https://openalex.org/W3132445137
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W3132445137Canonical identifier for this work in OpenAlex
- Title
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The Prevalence of Co-Infections in Hospitalized Patients with COVID-19Work title
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articleOpenAlex work type
- Language
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enPrimary language
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2021Year of publication
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2021-01-01Full publication date if available
- Authors
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Siri S. Sarvepalli, Said El Zein, Pranatharthi ChandrasekarList of authors in order
- Landing page
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https://digitalcommons.wayne.edu/som_srs/114Publisher landing page
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https://digitalcommons.wayne.edu/som_srs/114Direct link to full text PDF
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://digitalcommons.wayne.edu/som_srs/114Direct OA link when available
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Coronavirus disease 2019 (COVID-19), Medicine, Pandemic, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Virology, 2019-20 coronavirus outbreak, Pneumonia, Outbreak, Internal medicine, Disease, Infectious disease (medical specialty)Top concepts (fields/topics) attached by OpenAlex
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| abstract_inverted_index.pandemic | 6 |
| abstract_inverted_index.patients | 28, 39, 68, 79, 110, 166, 184, 198, 216, 257, 287, 340, 372 |
| abstract_inverted_index.positive | 86, 187, 219, 314 |
| abstract_inverted_index.results. | 384 |
| abstract_inverted_index.returned | 177, 209, 241, 303 |
| abstract_inverted_index.uncommon | 279 |
| abstract_inverted_index.Influenza | 261 |
| abstract_inverted_index.Real-Time | 94 |
| abstract_inverted_index.admission | 45, 361 |
| abstract_inverted_index.bacterial | 337 |
| abstract_inverted_index.conducted | 72 |
| abstract_inverted_index.delivery. | 18 |
| abstract_inverted_index.determine | 61 |
| abstract_inverted_index.examined, | 130 |
| abstract_inverted_index.findings, | 273 |
| abstract_inverted_index.infection | 89 |
| abstract_inverted_index.influenza | 159 |
| abstract_inverted_index.landscape | 15 |
| abstract_inverted_index.obtained, | 237 |
| abstract_inverted_index.organisms | 134 |
| abstract_inverted_index.patients, | 182, 214 |
| abstract_inverted_index.positive, | 304 |
| abstract_inverted_index.positive. | 178, 210, 242, 255 |
| abstract_inverted_index.secondary | 336 |
| abstract_inverted_index.treatable | 53 |
| abstract_inverted_index.treatment | 25 |
| abstract_inverted_index.warranted | 367 |
| abstract_inverted_index.(COVID-19) | 5 |
| abstract_inverted_index.Physicians | 35 |
| abstract_inverted_index.Polymerase | 95 |
| abstract_inverted_index.SARS-CoV-2 | 88, 112, 342 |
| abstract_inverted_index.admission. | 193, 227, 316 |
| abstract_inverted_index.antibiotic | 358 |
| abstract_inverted_index.evaluation | 334 |
| abstract_inverted_index.healthcare | 17 |
| abstract_inverted_index.infection, | 113 |
| abstract_inverted_index.infection. | 291 |
| abstract_inverted_index.infections | 338 |
| abstract_inverted_index.legionella | 153, 233, 325 |
| abstract_inverted_index.physicians | 346 |
| abstract_inverted_index.positivity | 140 |
| abstract_inverted_index.Coronavirus | 2 |
| abstract_inverted_index.antibiotics | 43, 377 |
| abstract_inverted_index.documented. | 142 |
| abstract_inverted_index.empirically | 40 |
| abstract_inverted_index.management. | 356 |
| abstract_inverted_index.non-culture | 148 |
| abstract_inverted_index.respiratory | 169, 274, 349 |
| abstract_inverted_index.underlying, | 52 |
| abstract_inverted_index.challenging. | 34 |
| abstract_inverted_index.hospitalized | 27, 38, 67 |
| abstract_inverted_index.particularly | 33 |
| abstract_inverted_index.pneumococcal | 156, 248, 322 |
| abstract_inverted_index.presentation | 282 |
| abstract_inverted_index.Introduction: | 0 |
| abstract_inverted_index.co-infection. | 54 |
| abstract_inverted_index.co-infections | 65, 275 |
| abstract_inverted_index.retrospective | 74 |
| abstract_inverted_index.significantly | 12 |
| abstract_inverted_index.PCR.\nResults: | 163 |
| abstract_inverted_index.broad-spectrum | 42 |
| abstract_inverted_index.nasopharyngeal | 83 |
| abstract_inverted_index.discontinuation | 374 |
| abstract_inverted_index.hospitalization | 302 |
| abstract_inverted_index.hospitalization. | 123 |
| abstract_inverted_index.infection.\nWhen | 343 |
| abstract_inverted_index.SARS-CoV-2.\nMethods: | 70 |
| abstract_inverted_index.positive.\nConclusions: | 269 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 3 |
| citation_normalized_percentile.value | 0.01772572 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |