Importance: As the United States continues to accumulate COVID-19 cases and deaths, and disparities persist, defining the impact of risk factors for poor outcomes across patient groups is imperative.
Objective: Our objective is to use real-world healthcare data to quantify the impact of demographic, clinical, and social determinants associated with adverse COVID-19 outcomes, to identify high-risk scenarios and dynamics of risk among racial and ethnic groups.
Design: A retrospective cohort of COVID-19 patients diagnosed between March 1 and August 20, 2020. Fully adjusted logistical regression models for hospitalization, severe disease and mortality outcomes across 1-the entire cohort and 2- within self-reported race/ethnicity groups.
Setting: Three sites of the NewYork-Presbyterian health care system serving all boroughs of New York City. Data was obtained through automated data abstraction from electronic medical records.
Participants: During the study timeframe, 110,498 individuals were tested for SARS-CoV-2 in the NewYork-Presbyterian health care system; 11,930 patients were confirmed for COVID-19 by RT-PCR or covid-19 clinical diagnosis.
Main Outcomes And Measures: The predictors of interest were patient race/ethnicity, and covariates included demographics, comorbidities, and census tract neighborhood socio-economic status. The outcomes of interest were COVID-19 hospitalization, severe disease, and death.
Results: Of confirmed COVID-19 patients, 4,895 were hospitalized, 1,070 developed severe disease and 1,654 suffered COVID-19 related death. Clinical factors had stronger impacts than social determinants and several showed race-group specificities, which varied among outcomes. The most significant factors in our all-patients models included: age over 80 (OR=5.78, p= 2.29x10) and hypertension (OR=1.89, p=1.26x10) having the highest impact on hospitalization, while Type 2 Diabetes was associated with all three outcomes (hospitalization: OR=1.48, p=1.39x10; severe disease: OR=1.46, p=4.47x10; mortality: OR=1.27, p=0.001). In race-specific models, COPD increased risk of hospitalization only in Non-Hispanics (NH)-Whites (OR=2.70, p=0.009). Obesity (BMI 30+) showed race-specific risk with severe disease NH-Whites (OR=1.48, p=0.038) and NH-Blacks (OR=1.77, p=0.025). For mortality, Cancer was the only risk factor in Hispanics (OR=1.97, p=0.043), and heart failure was only a risk in NH-Asians (OR=2.62, p=0.001).
Conclusions And Relevance: Comorbidities were more influential on COVID-19 outcomes than social determinants, suggesting clinical factors are more predictive of adverse trajectory than social factors.
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http://dx.doi.org/10.1101/2021.04.06.21254728 | DOI Listing |
J Perianesth Nurs
January 2025
Department of Anesthesiology, West China Second Hospital, Sichuan University, Key Laboratory of Birth Deficits and Related Diseases of Women and Children, Sichuan University, Ministry of Education, Renmin Nanlu, Chengdu, China. Electronic address:
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Psychiatry Clin Psychopharmacol
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Department of Operating Room, the Fifth Affiliated Hospital of Wenzhou Medical University, Lishui Central Hospital, Lishui, China.
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Department of Research, Altino Ventura Foundation (FAV), Recife 50070-040, Brazil.
Deformities, body asymmetries, and muscle contractures are common consequences of atypical postural patterns in children with c ongenital Zika syndrome (CZS). This study aimed to evaluate the posture of children with CZS, considering their neurological and visual impairments. Ophthalmological assessment included binocular best-corrected visual acuity (BCVA) using Teller Acuity Cards II (TAC II) and an ocular motility evaluation.
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Departamento de Biología del Estrés y Patología Vegetal, Centro de Edafología y Biología Aplicada del Segura (CEBAS)-CSIC, C.P. 30100 Murcia, Spain.
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