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Pre-existing conditions are associated with COVID-19 patients' hospitalization, despite confirmed clearance of SARS-CoV-2 virus.
Pawlowski, Colin; Venkatakrishnan, A J; Ramudu, Eshwan; Kirkup, Christian; Puranik, Arjun; Kayal, Nikhil; Berner, Gabriela; Anand, Akash; Barve, Rakesh; O'Horo, John C; Badley, Andrew D; Soundararajan, Venky.
  • Pawlowski C; nference, One Main Street, Cambridge, MA 02142, United States.
  • Venkatakrishnan AJ; nference, One Main Street, Cambridge, MA 02142, United States.
  • Ramudu E; nference, One Main Street, Cambridge, MA 02142, United States.
  • Kirkup C; nference, One Main Street, Cambridge, MA 02142, United States.
  • Puranik A; nference, One Main Street, Cambridge, MA 02142, United States.
  • Kayal N; nference, One Main Street, Cambridge, MA 02142, United States.
  • Berner G; nference, One Main Street, Cambridge, MA 02142, United States.
  • Anand A; nference Labs, Indiqube, 22, 3rd Cross Rd, S R Layout, Murgesh Pallya, Bengaluru, Karnataka 560017, India.
  • Barve R; nference Labs, Indiqube, 22, 3rd Cross Rd, S R Layout, Murgesh Pallya, Bengaluru, Karnataka 560017, India.
  • O'Horo JC; Mayo Clinic, Rochester, MN 55902, United States.
  • Badley AD; Mayo Clinic, Rochester, MN 55902, United States.
  • Soundararajan V; nference, One Main Street, Cambridge, MA 02142, United States.
EClinicalMedicine ; 34: 100793, 2021 Apr.
Article in English | MEDLINE | ID: covidwho-1144586
ABSTRACT

BACKGROUND:

Consecutive negative SARS-CoV-2 PCR test results are being considered to estimate viral clearance in COVID-19 patients. However, there are anecdotal reports of hospitalization from protracted COVID-19 complications despite such confirmed viral clearance, presenting a clinical conundrum.

METHODS:

We conducted a retrospective analysis of 222 hospitalized COVID-19 patients to compare those that were readmitted post-viral clearance (hospitalized post-clearance cohort, n = 49) with those that were not re-admitted post-viral clearance (non-hospitalized post-clearance cohort, n = 173) between February and October 2020. In order to differentiate these two cohorts, we used neural network models for the 'augmented curation' of comorbidities and complications with positive sentiment in the Electronic Hosptial Records physician notes.

FINDINGS:

In the year preceding COVID-19 onset, anemia (n = 13 [26.5%], p-value 0.007), cardiac arrhythmias (n = 14 [28.6%], p-value 0.015), and acute kidney injury (n = 7 [14.3%], p-value 0.030) were significantly enriched in the physician notes of the hospitalized post-clearance cohort.

INTERPRETATION:

Overall, this retrospective study highlights specific pre-existing conditions that are associated with higher hospitalization rates in COVID-19 patients despite viral clearance and motivates follow-up prospective research into the associated risk factors.

FUNDING:

This work was supported by Nference, inc.

Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Observational study / Prognostic study Language: English Journal: EClinicalMedicine Year: 2021 Document Type: Article Affiliation country: J.eclinm.2021.100793

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Observational study / Prognostic study Language: English Journal: EClinicalMedicine Year: 2021 Document Type: Article Affiliation country: J.eclinm.2021.100793