396. Relationship Between Patient Characteristics and Critical Illness in Patients Admitted for CoVID-19. (31st December 2020)
- Record Type:
- Journal Article
- Title:
- 396. Relationship Between Patient Characteristics and Critical Illness in Patients Admitted for CoVID-19. (31st December 2020)
- Main Title:
- 396. Relationship Between Patient Characteristics and Critical Illness in Patients Admitted for CoVID-19
- Authors:
- Windham, Samuel L
Wilson, Melissa P
Fling, Connor
Sheneman, David W
Wand, Taylor
Babcock, Lyndsey
Delson, Samantha
Erlandson, Kristine M - Abstract:
- Abstract: Background: While several studies have explored hospitalization risk factors with the novel coronavirus (COVID-19) infection, the risk of poor outcomes during hospitalization has primarily relied upon laboratory or hospital-acquired data. Our goal was to identify clinical characteristics associated with intubation or death within 7 days of admission. Methods: The first 436 patients admitted to the University of Colorado Hospital (Denver metropolitan area) with confirmed CoVID-19 were included. Demographics, comorbidities, and select medications were collected by chart abstraction. Missing height for calculating body mass index (BMI) was imputed using the median height for patients' sex and race/ethnicity. Adjusted odds ratios (aOR) were estimated using multivariable logistic regression and a minimax concave penalty (MCP) regularized logistic regression explored prediction. Results: Participants had a mean(SD) age 55(17), BMI 30.9(8.2), 55% were male and 80% were ethnic/racial minorities. Unadjusted comparisons by outcome are shown (Table 1). Male sex (aOR: 1.60, 95% CI (1.02, 2.54)), increasing age (aOR: 1.25(1.08, 1.47); per 10 years), higher BMI (aOR 1.03(1.00, 1.06) and poorly controlled diabetes (hemoglobin A1C ≥8) (aOR 2.33(1.27, 4.27) were significantly (p< 0.05) associated with greater odds of intubation or death. Minority status tended to be associated with higher odds (aOR:1.8(1.01, 3.36); p=0.052). Surprisingly, need for hospital interpreter wasAbstract: Background: While several studies have explored hospitalization risk factors with the novel coronavirus (COVID-19) infection, the risk of poor outcomes during hospitalization has primarily relied upon laboratory or hospital-acquired data. Our goal was to identify clinical characteristics associated with intubation or death within 7 days of admission. Methods: The first 436 patients admitted to the University of Colorado Hospital (Denver metropolitan area) with confirmed CoVID-19 were included. Demographics, comorbidities, and select medications were collected by chart abstraction. Missing height for calculating body mass index (BMI) was imputed using the median height for patients' sex and race/ethnicity. Adjusted odds ratios (aOR) were estimated using multivariable logistic regression and a minimax concave penalty (MCP) regularized logistic regression explored prediction. Results: Participants had a mean(SD) age 55(17), BMI 30.9(8.2), 55% were male and 80% were ethnic/racial minorities. Unadjusted comparisons by outcome are shown (Table 1). Male sex (aOR: 1.60, 95% CI (1.02, 2.54)), increasing age (aOR: 1.25(1.08, 1.47); per 10 years), higher BMI (aOR 1.03(1.00, 1.06) and poorly controlled diabetes (hemoglobin A1C ≥8) (aOR 2.33(1.27, 4.27) were significantly (p< 0.05) associated with greater odds of intubation or death. Minority status tended to be associated with higher odds (aOR:1.8(1.01, 3.36); p=0.052). Surprisingly, need for hospital interpreter was associated with decreased odds (OR: 0.58(0.35, 0.95)) of intubation/death. Our final MCP model included indicators of A1C≥8, age >65, sex and minority status, but predicted intubation/death only slightly better than random chance (AUC= 0.61(0.56, 0.67)). Table 1. Patient Characteristics Stratified by Intubation and/or Death Within One Week of Admission (n=436) Conclusion: In a hospitalized patient cohort with COVID-19, male sex, poorly controlled diabetes, increasing age and BMI were significantly associated with early intubation or death. These results complement larger cohort studies, and highlight risk differences across metropolitan areas with varying COVID-19 prevalence, demographics, and comorbid disease burden. Notably, our predictive model had limited success, which may suggest unmeasured factors also contribute to disease severity differences. Disclosures: All Authors : No reported disclosures … (more)
- Is Part Of:
- Open forum infectious diseases. Volume 7:Number 1(2020) Supplement
- Journal:
- Open forum infectious diseases
- Issue:
- Volume 7:Number 1(2020) Supplement
- Issue Display:
- Volume 7, Issue 1 (2020)
- Year:
- 2020
- Volume:
- 7
- Issue:
- 1
- Issue Sort Value:
- 2020-0007-0001-0000
- Page Start:
- S266
- Page End:
- S267
- Publication Date:
- 2020-12-31
- Subjects:
- Communicable diseases -- Periodicals
Medical microbiology -- Periodicals
Infection -- Periodicals
616.9 - Journal URLs:
- http://ofid.oxfordjournals.org/ ↗
http://www.oxfordjournals.org/en/ ↗ - DOI:
- 10.1093/ofid/ofaa439.591 ↗
- Languages:
- English
- ISSNs:
- 2328-8957
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
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- 26914.xml