Publication date: Oct 21, 2024

Conduct a comprehensive analysis of the health and economic outcomes of patients with a COVID-19-associated hospitalization in the US during the predominance of the XBB and JN. 1 Omicron lineages. This analysis used data from the PINC AI Healthcare Database (PHD) for all patients with a hospital admission date occurring between February 4, 2023, and February 29, 2024 with an ICD-10-CM code U07. 1 “COVID-19” in any position. The data were used to estimate the mean and median length of stay (LOS), mean and median hospitalization cost, and proportion of patients that died in the hospital, by age and level of care (normal ward, intensive care [ICU], invasive mechanical ventilation [IMV]). LOS, hospitalization costs, and inpatient mortality increased with both the level of care and age. Patients not receiving ICU care had the shortest LOS, lowest inpatient mortality, and lowest hospitalization costs. LOS, hospitalization costs, and inpatient mortality were higher for those receiving ICU care and highest for those receiving IMV in the ICU. Within each level of care (normal ward, ICU without IMV, and ICU with IMV), the LOS, inpatient mortality, and hospitalization cost generally increased with age, indicating that older adults with COVID-19 required a longer recovery period, have a higher likelihood of death, and accrue higher costs. However, the proportion of pediatric patients with an ICU admission and/or IMV usage remained high. The PHD data may not be representative of all hospitalized patients in the US. These findings suggest that COVID-19 continues to have severe and costly consequences in all age groups, but particularly for older adults including long LOS, ICU admission, need for IMV, mortality, and high hospital costs.

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