COVID-19 in critically ill patients in North Brabant, the Netherlands: Patient characteristics and outcomes

J Crit Care. 2020 Dec:60:111-115. doi: 10.1016/j.jcrc.2020.08.001. Epub 2020 Aug 8.

Abstract

Purpose: Since the SARS-CoV-2 pandemic, countries are overwhelmed by critically ill Coronavirus disease 2019 (COVID-19) patients. As ICU capacity becomes limited we characterized critically ill COVID-19 patients in the Netherlands.

Methods: In this case series, COVID-19 patients admitted to the ICU of the Jeroen Bosch Hospital were included from March 9 to April 7, 2020. COVID-19 was confirmed by a positive result by a RT-PCR of a specimen collected by nasopharyngeal swab. Clinical data were extracted from medical records.

Results: The mean age of the 50 consecutively included critically ill COVID-19 patients was 65 ± 10 years, the mean BMI was 29 ± 4.7 and 66% were men. Seventy-eight percent of patients had ≥1 comorbidity, 34% had hypertension. Ninety-six percent of patients required mechanical ventilation and 80% were ventilated in prone position. Venous thromboembolism was recognized in 36% of patients. Seventy-four percent of patients survived and were successfully discharged from the ICU, the remaining 26% died (median follow up 86 days). The length of invasive ventilation in survivors was 15 days (IQR 12-31).

Conclusions: The survival rate of COVID-19 critically ill patients in our population is considerably better than previously reported. Thrombotic complications are commonly found and merit clinical attention.

Trial registration number: NL2020.07.04.01.

Keywords: COVID-19; Critical care.; Mortality.; SARS- Cov-2.; Venous Thromboembolism..

Publication types

  • Observational Study

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Body Mass Index
  • COVID-19 Drug Treatment*
  • COVID-19 Nucleic Acid Testing
  • Critical Care
  • Critical Illness / epidemiology
  • Female
  • Hospitalization
  • Humans
  • Intensive Care Units
  • Lung
  • Male
  • Middle Aged
  • Netherlands / epidemiology
  • Pandemics
  • Patient Discharge
  • Real-Time Polymerase Chain Reaction
  • Respiration, Artificial*