Gastrointestinal Symptoms and Outcomes in Hospitalized Coronavirus Disease 2019 Patients

Preethi Ramachandran1, Ifeanyichkwu Onukogu2, Snigdha Ghanta2

  • 1Department Hematology and Oncology, Brookdale University Hospital and Medical Center, Brooklyn, New York, USA.

Insights

Gastrointestinal symptoms in hospitalized COVID-19 patients were not linked to worse outcomes. This study found no significant differences in mortality, length of stay, or need for ventilation for patients with or without GI symptoms.

Area of Science:

  • Gastroenterology
  • Infectious Diseases
  • Critical Care Medicine

Background:

  • Gastrointestinal (GI) symptoms are increasingly recognized in patients with coronavirus disease 2019 (COVID-19).
  • The prognostic significance of GI symptoms in COVID-19 remains unclear.
  • Assessing GI symptoms for prognostication in hospitalized COVID-19 patients is crucial.

Purpose of the Study:

  • To determine if the presence of GI symptoms at admission is associated with poor outcomes in hospitalized COVID-19 patients.
  • To evaluate the prognostic value of GI symptoms in COVID-19 prognostication.
  • To compare outcomes between COVID-19 patients with and without GI symptoms.

Main Methods:

  • Retrospective analysis of 150 hospitalized COVID-19 patients.
  • Review of medical charts for GI symptoms (nausea, vomiting, diarrhea, abdominal pain) at admission.
  • Comparison of COVID-19 patients with GI symptoms (cases) versus those without (controls).

Main Results:

  • 31 (20.6%) of 150 patients had GI symptoms.
  • No statistically significant differences in comorbidities or laboratory findings between cases and controls.
  • Mortality (41.9% vs. 37.8%), length of stay (7.8 vs. 7.9 days), and mechanical ventilation rates (29% vs. 26.9%) did not differ significantly.

Conclusions:

  • GI manifestations at COVID-19 admission were not associated with increased mortality.
  • The presence of GI symptoms did not correlate with longer length of stay.
  • GI symptoms in COVID-19 patients did not predict the need for mechanical ventilation.
Abstract

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