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  1. 32521
  2. 32522
    “…Factors associated with SMA experience, including age, race/ethnicity, socioeconomic status, nativity, reproductive health history, and geography, were assessed. …”
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  3. 32523
    “…To test for an association between POLST completed at least 30 days before death and inpatient antimicrobial days of therapy (DOT) in the 30 days before death, we used negative binomial models adjusted for age, sex, race, and service line (hematologic versus solid malignancy); model estimates are presented as incidence rate ratios (IRR) with 95% confidence intervals (CI) RESULTS: Of 1796 patients, 406 (23%) had a POLST. 177/406 (44%) were completed less than 30 days before death, and 58/177 (32.8%) specified limited antibiotic use; 40/177 (23%) did not specify any antimicrobial use preference (Fig 1). …”
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  4. 32524
    “…We compared seroprevalence by HIV status via mixed-effects logistic regression models, accounting for the matched structure of the data (random effects for the matched group), adjusting for age, sex, race or ethnicity, and clinical factors (ie, history of cardiovascular or pulmonary disease, and type 2 diabetes). …”
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  5. 32525
    “…RESULTS: The study included 15% males and 85% females. 50% of the patients were white and just over 22% were non-white, and about 27% declined to give their race. The average baseline patients’ weight prior to IGBT was 231.61 Lbs. …”
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  6. 32526
    por Bennett, Tellen D., Moffitt, Richard A., Hajagos, Janos G., Amor, Benjamin, Anand, Adit, Bissell, Mark M., Bradwell, Katie Rebecca, Bremer, Carolyn, Byrd, James Brian, Denham, Alina, DeWitt, Peter E., Gabriel, Davera, Garibaldi, Brian T., Girvin, Andrew T., Guinney, Justin, Hill, Elaine L., Hong, Stephanie S., Jimenez, Hunter, Kavuluru, Ramakanth, Kostka, Kristin, Lehmann, Harold P., Levitt, Eli, Mallipattu, Sandeep K., Manna, Amin, McMurry, Julie A., Morris, Michele, Muschelli, John, Neumann, Andrew J., Palchuk, Matvey B., Pfaff, Emily R., Qian, Zhenglong, Qureshi, Nabeel, Russell, Seth, Spratt, Heidi, Walden, Anita, Williams, Andrew E., Wooldridge, Jacob T., Yoo, Yun Jae, Zhang, Xiaohan Tanner, Zhu, Richard L., Austin, Christopher P., Saltz, Joel H., Gersing, Ken R., Haendel, Melissa A., Chute, Christopher G.
    Publicado 2021
    “…In a separate multivariable logistic regression model built for inference, age (odds ratio [OR], 1.03 per year; 95% CI, 1.03-1.04), male sex (OR, 1.60; 95% CI, 1.51-1.69), liver disease (OR, 1.20; 95% CI, 1.08-1.34), dementia (OR, 1.26; 95% CI, 1.13-1.41), African American (OR, 1.12; 95% CI, 1.05-1.20) and Asian (OR, 1.33; 95% CI, 1.12-1.57) race, and obesity (OR, 1.36; 95% CI, 1.27-1.46) were independently associated with higher clinical severity. …”
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  7. 32527
    “…No significant difference in demographic characteristics based on mean age, sex, race or body mass index were appreciated between groups. …”
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  8. 32528
    “…Predictors assessed at the time of COVID-19 diagnosis and retained for the model include: cancer type (thoracic, hematologic or other), metastatic status, age, sex, smoking, presence of a comorbidity (any of hypertension, diabetes, hyperlipidemia, chronic hepatic or renal disease, coronary artery disease, asthma, thromboembolism, chronic obstructive lung disease, congestive heart failure, valvular heart disease, stroke, HIV and peripheral arterial disease), body mass index (BMI), presence of hypoxia (defined as need to use supplemental oxygen 2 L/min or more), blood glucose, total bilirubin, total white blood count (WBC), hemoglobin, red cell distribution width (RDW), platelet count, absolute neutrophil count (ANC), absolute lymphocyte count, serum albumin, blood urea nitrogen (BUN) , creatinine, aspartate transaminase (AST), alanine transaminase (ALT), ferritin, lactate dehydrogenase (LDH), prothrombin time (PT), activated partial thromboplastin time (aPTT), D-dimers, race and smoking history. Model performance was assessed with repeated 10-fold cross-validation. …”
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  9. 32529
  10. 32530
  11. 32531
    “…Risk factors for thrombosis in pregnancy include African American race, heart disease, diabetes, smoking, multiparity, age >35 years, and obesity. …”
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  12. 32532
    “…Across Maryland and the control states, there were statistically significant but not clinically relevant differences in the preintervention period with regard to patient age (mean [SD], 49.7 [19.0] years vs 48.9 [19.3] years, respectively; P < .001), sex (22.7% male vs 21.4% male; P < .001), and race (0.3% vs 0.4% American Indian, 2.8% vs 4.5% Asian or Pacific Islander, 25.9% vs 12.7% Black, 4.7% vs 11.9% Hispanic, and 63.5% vs 63.4% White; P < .001). …”
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  13. 32533
    “…However, due to the absence of large-scale race-based data, it is impossible to measure the extent to which immigrant and racialized communities are experiencing the pandemic and the impact of measures taken (or not) to mitigate these impacts, especially at a local level. …”
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  14. 32534
    “…In early adolescence, participants born by cesarean delivery had a significantly greater total lean mass index (β, 0.4; 95% CI, 0.0-0.7), total fat mass index (β, 0.6; 95% CI, 0.1-1.1), truncal fat mass index (β, 0.3; 95% CI, 0.0-0.5), VAT area (β, 4.7; 95% CI, 0.9-8.6), and TAAT area (β, 23.8; 95% CI, 0.8-46.8) in a model adjusted for child sex and age at the time of DXA measurements; maternal age, educational level, race and ethnicity, total gestational weight gain, and smoking status during pregnancy; birth-weight-per-gestational-age z score; and paternal BMI. …”
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  15. 32535
  16. 32536
    “…MEASUREMENTS: We extracted the following data from the included studies: author, year, study location, age, sex, race, diabetes mellitus, hypertension, chronic kidney disease, shock, vasopressor use, mortality, intensive care unit (ICU) admission, ICU mortality, AKI, and RRT. …”
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  17. 32537
    “…Results include victim and suspect sex, age group, and race/ethnicity; method of injury; type of location where the homicide occurred; precipitating circumstances (i.e., events that contributed to the homicide); and other selected characteristics. …”
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  18. 32538
  19. 32539
    “…Although Whites were more likely to have in-hospital mortality for MRSA (24.6 vs. 19.2, p=0.0359), discharge disposition, metastatic infection, and persistence did not vary significantly by race. [Image: see text] [Image: see text] CONCLUSION: Racial disparities exist in SAB, more so for patient characteristics than for outcomes. …”
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  20. 32540
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