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Published on: November 10, 2023
The impact of key secular trends during the first three waves the COVID-19 pandemic
Brian J Lichtenstein1, Tyler Smith2, Besa Smith3
1Sharp HealthCare, San Diego, CA, USA.
Insights
Patient age and disease severity are key to COVID-19 survival. While ICU occupancy impacts survivorship during surges, patient-level factors remain the primary predictors of outcomes.
Area of Science:
- Epidemiology
- Critical Care Medicine
- Infectious Diseases
Background:
- COVID-19 survival is influenced by patient demographics, comorbidities, and disease severity.
- Healthcare system strain, such as intensive care unit (ICU) occupancy, may impact patient outcomes during pandemic surges.
- Understanding the interplay between patient-specific and hospital-level factors is crucial for managing COVID-19.
Purpose of the Study:
- To assess the impact of patient and hospital risk factors on COVID-19 survivorship during surges.
- To characterize COVID-19 severity distribution across different pandemic waves.
- To evaluate the effect of ICU capacity on patient survival.
Main Methods:
- Retrospective cohort study including 6,851 adult patients admitted with COVID-19.
- Data collected from four acute care hospitals within a San Diego healthcare network (March 2020 - June 2021).
- Analysis focused on patient survivorship and length of stay, considering patient-level and hospital-level factors.
Main Results:
- Mortality predictors included disease severity (WHO Clinical Progression Score), age, gender, BMI, marital status, language, Elixhauser score, and specific laboratory values (d-dimer, ferritin, LDH).
- Survivorship during surges showed an inverse correlation with ICU occupancy when adjusted for patient age alone.
- This correlation between ICU occupancy and survivorship was not significant when patient-level factors were fully accounted for.
Conclusions:
- Patient age, comorbidity burden, and disease severity are primary determinants of COVID-19 survival.
- High ICU occupancy during surges may pose additional risks, especially under maximal healthcare system stress.
- Further exploration of the dynamic interaction between patient and hospital factors is warranted.
Importance:
Patient age, comorbidity burden, and disease severity at presentation are the major factors associated with surviving COVID-19. Hospital-level factors including ICU occupancy may confer additional risk to individual patients, particularly at times of maximal stress on healthcare systems. The interaction of patient- and hospital-level factors over time during pandemic disease remains an area of active exploration.
Objective:
To determine the impact of patient and hospital risk factors during episodic surges, characterize severity distribution between waves, and evaluate patient-level impact of ICU capacity on COVID-19 survivorship.
Design:
Retrospective cohort study.
Setting:
Four acute care hospitals within an integrated healthcare network in San Diego, California.
Participants:
All patients (18+ y.o.) admitted with a positive PCR test for SARS-CoV-2 or ICD-10 code for COVID-19 from March 1, 2020 through June 30, 2021.
Main Outcome(S) And Measure(S):
Patient survivorship and length of stay.
Results:
Six thousand eight hundred fifty-one patients were evaluated in this large cohort series. Patient level factors associated with mortality included: severity at admission (WHO Clinical Progression Score [WCPS]), age, gender, BMI, marital status, language preference, Elixhauser score, elevated laboratory (d-dimer, ferritin, LDH) or lower absolute lymphocyte count. When adjusting for patient age alone, survivorship during surges was also inversely associated with ICU occupancy, though this correlation was not present when adjusted for patient-level factors.
Conclusions And Relevance:
Patient age, comorbidity burden, and severity at the time of presentation are the major factors associated with surviving COVID-19. Hospital-level factors including ICU occupancy may confer additional risk to individual patients, particularly at times of maximal stress on healthcare systems.
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