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Published on: November 10, 2023
Characterization and clinical course of 1000 patients with coronavirus disease 2019 in New York: retrospective case
Michael G Argenziano1,2, Samuel L Bruce1,2, Cody L Slater1,2
1Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA.
Insights
This study characterized 1000 coronavirus disease 2019 (COVID-19) patients in NYC, revealing significant morbidity and mortality. COVID-19 patients faced high rates of acute kidney injury, dialysis, and prolonged intubations.
Area of Science:
- Infectious Diseases
- Critical Care Medicine
- Epidemiology
Background:
- Coronavirus disease 2019 (COVID-19) emerged as a global pandemic.
- Understanding the clinical characteristics and outcomes of affected patients is crucial for effective management.
Purpose of the Study:
- To characterize patients with COVID-19 at a major New York City medical center.
- To describe the clinical course of COVID-19 patients across emergency, inpatient, and intensive care settings.
Main Methods:
- Retrospective review of medical records for 1000 consecutive patients with confirmed SARS-CoV-2.
- Manual abstraction of data including demographics, symptoms, comorbidities, hospital course, and outcomes.
Main Results:
- The study included 1000 patients, with 236 admitted to intensive care units (ICUs).
- Common symptoms included cough, fever, and dyspnea. ICU patients were older, predominantly male, and experienced prolonged stays.
- High rates of acute kidney injury (78.0%) and need for dialysis (35.2%) were observed in ICU patients. Time to intubation showed a bimodal distribution.
Conclusions:
- Hospitalized COVID-19 patients experienced substantial morbidity and mortality.
- Key complications included acute kidney injury and need for dialysis.
- The bimodal distribution of time to intubation suggests complex disease progression patterns.
Objective:
To characterize patients with coronavirus disease 2019 (covid-19) in a large New York City medical center and describe their clinical course across the emergency department, hospital wards, and intensive care units.
Design:
Retrospective manual medical record review.
Setting:
NewYork-Presbyterian/Columbia University Irving Medical Center, a quaternary care academic medical center in New York City.
Participants:
The first 1000 consecutive patients with a positive result on the reverse transcriptase polymerase chain reaction assay for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) who presented to the emergency department or were admitted to hospital between 1 March and 5 April 2020. Patient data were manually abstracted from electronic medical records.
Main Outcome Measures:
Characterization of patients, including demographics, presenting symptoms, comorbidities on presentation, hospital course, time to intubation, complications, mortality, and disposition.
Results:
Of the first 1000 patients, 150 presented to the emergency department, 614 were admitted to hospital (not intensive care units), and 236 were admitted or transferred to intensive care units. The most common presenting symptoms were cough (732/1000), fever (728/1000), and dyspnea (631/1000). Patients in hospital, particularly those treated in intensive care units, often had baseline comorbidities including hypertension, diabetes, and obesity. Patients admitted to intensive care units were older, predominantly male (158/236, 66.9%), and had long lengths of stay (median 23 days, interquartile range 12-32 days); 78.0% (184/236) developed acute kidney injury and 35.2% (83/236) needed dialysis. Only 4.4% (6/136) of patients who required mechanical ventilation were first intubated more than 14 days after symptom onset. Time to intubation from symptom onset had a bimodal distribution, with modes at three to four days, and at nine days. As of 30 April, 90 patients remained in hospital and 211 had died in hospital.
Conclusions:
Patients admitted to hospital with covid-19 at this medical center faced major morbidity and mortality, with high rates of acute kidney injury and inpatient dialysis, prolonged intubations, and a bimodal distribution of time to intubation from symptom onset.
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