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COVID-19 Clinical Phenotypes: Presentation and Temporal Progression of Disease in a Cohort of Hospitalized Adults in Georgia, United States.
da Silva, Juliana F; Hernandez-Romieu, Alfonso C; Browning, Sean D; Bruce, Beau B; Natarajan, Pavithra; Morris, Sapna B; Gold, Jeremy A W; Neblett Fanfair, Robyn; Rogers-Brown, Jessica; Rossow, John; Szablewski, Christine M; Oosmanally, Nadine; D'Angelo, Melissa Tobin; Drenzek, Cherie; Murphy, David J; Hollberg, Julie; Blum, James M; Jansen, Robert; Wright, David W; Sewell, William; Owens, Jack; Lefkove, Benjamin; Brown, Frank W; Burton, Deron C; Uyeki, Timothy M; Patel, Priti R; Jackson, Brendan R; Wong, Karen K.
  • da Silva JF; CDC COVID-19 Emergency Response, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
  • Hernandez-Romieu AC; Epidemic Intelligence Service, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
  • Browning SD; United States Public Health Service.
  • Bruce BB; CDC COVID-19 Emergency Response, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
  • Natarajan P; CDC COVID-19 Emergency Response, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
  • Morris SB; CDC COVID-19 Emergency Response, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
  • Gold JAW; CDC COVID-19 Emergency Response, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
  • Neblett Fanfair R; United States Public Health Service.
  • Rogers-Brown J; CDC COVID-19 Emergency Response, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
  • Rossow J; Epidemic Intelligence Service, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
  • Szablewski CM; CDC COVID-19 Emergency Response, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
  • Oosmanally N; United States Public Health Service.
  • D'Angelo MT; CDC COVID-19 Emergency Response, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
  • Drenzek C; CDC COVID-19 Emergency Response, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
  • Murphy DJ; Epidemic Intelligence Service, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
  • Hollberg J; United States Public Health Service.
  • Blum JM; CDC COVID-19 Emergency Response, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
  • Jansen R; Epidemic Intelligence Service, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
  • Wright DW; Georgia Department of Public Health, Atlanta, Georgia, USA.
  • Sewell W; Georgia Department of Public Health, Atlanta, Georgia, USA.
  • Owens J; Georgia Department of Public Health, Atlanta, Georgia, USA.
  • Lefkove B; Georgia Department of Public Health, Atlanta, Georgia, USA.
  • Brown FW; Emory University School of Medicine, Atlanta, Georgia, USA.
  • Burton DC; Emory University School of Medicine, Atlanta, Georgia, USA.
  • Uyeki TM; Emory University School of Medicine, Atlanta, Georgia, USA.
  • Patel PR; Georgia Clinical & Translational Science Alliance, Atlanta, Georgia, USA.
  • Jackson BR; Grady Health System, Atlanta, Georgia, USA.
  • Wong KK; Georgia Clinical & Translational Science Alliance, Atlanta, Georgia, USA.
Open Forum Infect Dis ; 8(1): ofaa596, 2021 Jan.
Article in English | MEDLINE | ID: covidwho-960578
ABSTRACT

BACKGROUND:

The epidemiological features and outcomes of hospitalized adults with coronavirus disease 2019 (COVID-19) have been described; however, the temporal progression and medical complications of disease among hospitalized patients require further study. Detailed descriptions of the natural history of COVID-19 among hospitalized patients are paramount to optimize health care resource utilization, and the detection of different clinical phenotypes may allow tailored clinical management strategies.

METHODS:

This was a retrospective cohort study of 305 adult patients hospitalized with COVID-19 in 8 academic and community hospitals. Patient characteristics included demographics, comorbidities, medication use, medical complications, intensive care utilization, and longitudinal vital sign and laboratory test values. We examined laboratory and vital sign trends by mortality status and length of stay. To identify clinical phenotypes, we calculated Gower's dissimilarity matrix between each patient's clinical characteristics and clustered similar patients using the partitioning around medoids algorithm.

RESULTS:

One phenotype of 6 identified was characterized by high mortality (49%), older age, male sex, elevated inflammatory markers, high prevalence of cardiovascular disease, and shock. Patients with this severe phenotype had significantly elevated peak C-reactive protein creatinine, D-dimer, and white blood cell count and lower minimum lymphocyte count compared with other phenotypes (P < .01, all comparisons).

CONCLUSIONS:

Among a cohort of hospitalized adults, we identified a severe phenotype of COVID-19 based on the characteristics of its clinical course and poor prognosis. These findings need to be validated in other cohorts, as improved understanding of clinical phenotypes and risk factors for their development could help inform prognosis and tailored clinical management for COVID-19.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Observational study / Prognostic study Language: English Journal: Open Forum Infect Dis Year: 2021 Document Type: Article Affiliation country: Ofid

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Observational study / Prognostic study Language: English Journal: Open Forum Infect Dis Year: 2021 Document Type: Article Affiliation country: Ofid