BACKGROUND: Coronavirus disease (COVID-19) can cause severe illness and death. Predictors of poor outcome collected on hospital admission may inform clinical and public health decisions. METHODS: We conducted a retrospective observational cohort investigation of 297 adults admitted to 8 academic and community hospitals in Georgia, United States, during March 2020. Using standardized medical record abstraction, we collected data on predictors including admission demographics, underlying medical conditions, outpatient antihypertensive medications, recorded symptoms, vital signs, radiographic findings, and laboratory values. We used random forest models to calculate adjusted odds ratios (aORs) and 95% confidence intervals (CIs) for predictors of invasive mechanical ventilation (IMV) and death. RESULTS: Compared with age <45 years, ages 65-74 years and ≥75 years were predictors of IMV (aORs, 3.12 [95% CI, 1.47-6.60] and 2.79 [95% CI, 1.23-6.33], respectively) and the strongest predictors for death (aORs, 12.92 [95% CI, 3.26-51.25] and 18.06 [95% CI, 4.43-73.63], respectively). Comorbidities associated with death (aORs, 2.4-3.8; P < .05) included end-stage renal disease, coronary artery disease, and neurologic disorders, but not pulmonary disease, immunocompromise, or hypertension. Prehospital use vs nonuse of angiotensin receptor blockers (aOR, 2.02 [95% CI, 1.03-3.96]) and dihydropyridine calcium channel blockers (aOR, 1.91 [95% CI, 1.03-3.55]) were associated with death. CONCLUSIONS: After adjustment for patient and clinical characteristics, older age was the strongest predictor of death, exceeding comorbidities, abnormal vital signs, and laboratory test abnormalities. That coronary artery disease, but not chronic lung disease, was associated with death among hospitalized patients warrants further investigation, as do associations between certain antihypertensive medications and death. Published by Oxford University Press for the Infectious Diseases Society of America 2020.
BACKGROUND: Coronavirus disease (COVID-19) can cause severe illness and death. Predictors of poor outcome collected on hospital admission may inform clinical and public health decisions. METHODS: We conducted a retrospective observational cohort investigation of 297 adults admitted to 8 academic and community hospitals in Georgia, United States, during March 2020. Using standardized medical record abstraction, we collected data on predictors including admission demographics, underlying medical conditions, outpatient antihypertensive medications, recorded symptoms, vital signs, radiographic findings, and laboratory values. We used random forest models to calculate adjusted odds ratios (aORs) and 95% confidence intervals (CIs) for predictors of invasive mechanical ventilation (IMV) and death. RESULTS: Compared with age <45 years, ages 65-74 years and ≥75 years were predictors of IMV (aORs, 3.12 [95% CI, 1.47-6.60] and 2.79 [95% CI, 1.23-6.33], respectively) and the strongest predictors for death (aORs, 12.92 [95% CI, 3.26-51.25] and 18.06 [95% CI, 4.43-73.63], respectively). Comorbidities associated with death (aORs, 2.4-3.8; P < .05) included end-stage renal disease, coronary artery disease, and neurologic disorders, but not pulmonary disease, immunocompromise, or hypertension. Prehospital use vs nonuse of angiotensin receptor blockers (aOR, 2.02 [95% CI, 1.03-3.96]) and dihydropyridine calcium channel blockers (aOR, 1.91 [95% CI, 1.03-3.55]) were associated with death. CONCLUSIONS: After adjustment for patient and clinical characteristics, older age was the strongest predictor of death, exceeding comorbidities, abnormal vital signs, and laboratory test abnormalities. That coronary artery disease, but not chronic lung disease, was associated with death among hospitalized patients warrants further investigation, as do associations between certain antihypertensive medications and death. Published by Oxford University Press for the Infectious Diseases Society of America 2020.
Authors: Juliana F da Silva; Alfonso C Hernandez-Romieu; Sean D Browning; Beau B Bruce; Pavithra Natarajan; Sapna B Morris; Jeremy A W Gold; Robyn Neblett Fanfair; Jessica Rogers-Brown; John Rossow; Christine M Szablewski; Nadine Oosmanally; Melissa Tobin D'Angelo; Cherie Drenzek; David J Murphy; Julie Hollberg; James M Blum; Robert Jansen; David W Wright; William Sewell; Jack Owens; Benjamin Lefkove; Frank W Brown; Deron C Burton; Timothy M Uyeki; Priti R Patel; Brendan R Jackson; Karen K Wong Journal: Open Forum Infect Dis Date: 2020-12-07 Impact factor: 3.835
Authors: Francesco Natale; Raffaele Capasso; Alfonso Casalino; Clotilde Crescenzi; Paolo Sangiuolo; Paolo Golino; Francesco S Loffredo; Giovanni Cimmino Journal: Medicina (Kaunas) Date: 2021-06-29 Impact factor: 2.430
Authors: Paulina B Szklanna; Haidar Altaie; Shane P Comer; Sarah Cullivan; Sarah Kelliher; Luisa Weiss; John Curran; Emmet Dowling; Katherine M A O'Reilly; Aoife G Cotter; Brian Marsh; Sean Gaine; Nick Power; Áine Lennon; Brian McCullagh; Fionnuala Ní Áinle; Barry Kevane; Patricia B Maguire Journal: Front Med (Lausanne) Date: 2021-07-16