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Characterization and clinical course of 1000 patients with COVID-19 in New York: retrospective case series

Michael G Argenziano1,2, Samuel L Bruce1,2, Cody L Slater1,2

  • 1Columbia University Vagelos College of Physicians and Surgeons, New York, NY.

Medrxiv : the Preprint Server for Health Sciences
|June 9, 2020
PubMed

Insights

The first 1000 coronavirus disease 2019 (COVID-19) patients at a NYC medical center experienced high mortality and morbidity. Critical care patients faced significant acute kidney injury (AKI) and dialysis, with a bimodal intubation time from symptom onset.

Area of Science:

  • Infectious Diseases
  • Critical Care Medicine
  • Epidemiology

Background:

  • Coronavirus disease 2019 (COVID-19) presented a significant public health challenge globally.
  • Understanding the clinical characteristics and outcomes of COVID-19 patients is crucial for effective management.
  • New York City was an early epicenter, necessitating detailed local characterization.

Approach:

  • Retrospective review of medical records for 1000 consecutive laboratory-confirmed COVID-19 patients.
  • Data abstraction included demographics, symptoms, comorbidities, hospital course, and outcomes.
  • Analysis focused on emergency department, inpatient, and intensive care unit (ICU) populations.

Key Points:

  • Common symptoms included cough, fever, and dyspnea. Hypertension, diabetes, and obesity were prevalent comorbidities in hospitalized and ICU patients.
  • ICU patients were older, predominantly male, with prolonged hospital stays. High rates of acute kidney injury (AKI) and dialysis were observed.
  • Mechanical ventilation was frequently required, with a bimodal distribution of intubation timing relative to symptom onset.

Conclusions:

  • Hospitalized COVID-19 patients at this large academic medical center experienced substantial morbidity and mortality.
  • High incidence of AKI and need for dialysis underscore the systemic impact of severe COVID-19.
  • The bimodal pattern of intubation timing suggests distinct patient trajectories and potential windows for intervention.
Abstract

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