“…Analyses were adjusted for age, race, gender, baseline urine volume, diabetes mellitus, and malignancy. …”
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“…Geographic region may impact treatment response due to potential differences in race and ethnicity, and based on findings in other therapy areas. …”
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“…The groups were similar in age, sex, race, and ethnicity (all p > 0.05). Bilobar disease was least common in Group 1 (p < 0.001). …”
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“…Mixed-effects repeated measures linear regression models were used to examine changes in patient activation and physical and mental health-related quality-of-life, in relation to alerts, adjusting for confounding variables including age, sex, race, history of arrhythmias, history of congestive heart failure, history of coronary artery disease, baseline depression, and baseline cognitive impairment, over the study period. …”
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“…Additionally, our relatively small sample size made it difficult to assess race and ethnicity effects. CONCLUSIONS: 3q29del is associated with significant social disability, irrespective of ASD diagnosis. 3q29del + ASD have similar levels of social disability to nsASD, while 3q29del-ASD have significantly increased social disability compared to TD individuals. …”
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“…Using the North Carolina Trauma Registry, a statewide registry of trauma admissions to eighteen North Carolina hospitals, we calculated weekly GSW hospitalization rates from 1/2019 to 12/2020, overall and stratified by race-ethnicity, age, and sex. Interrupted time-series design and segmented linear regression were used to estimate changes in weekly hospitalization rates over time after (1) U.S. declaration of a public health emergency; (2) statewide Stay-at-Home order; (3) Stay-at-Home order lifted with restrictions (Phase 2: Safer-at-Home); and (4) further lifting of restrictions (Phase 2.5: Safer-at-Home). …”
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“…There were nine (2·1%) hospitalisations or deaths among 426 patients who received outpatient treatment compared with 49 (17·6%) among 278 who did not receive outpatient treatment (odds ratio [adjusted for age, sex, race, comorbidities, and kidney function] 0·12, 95% CI 0·05–0·25). 25 (7·9%) of 318 patients who received oral outpatient treatment had documented COVID-19 rebound. …”
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“…The increased likelihood of receiving delayed AT (≥ 27 days) was significantly associated with tumor resection (STR/GTR), years of diagnosis after 2006, African American and Hispanics races, treatments at academic facilities, and being referred. …”
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“…CONCLUSIONS: Recruiting Black Americans into our colorectal cancer study did not prove to be challenging with the two-tiered model of recruitment that involved consistent engagement and having the primary researcher lead this recruitment process. Extracting within race differences is critical in demystifying the conclusion of numerous studies that African Americans specifically are hesitant to participate due to historical mistrust related to tragedies such as the Tuskegee Experiment and numerous other occurrences of African Americans being treated as guinea pigs for the advancement of research. …”
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“…EXPOSURES: Patient characteristics assessed included age, race, insurance, home zip code income quartile, Charlson Comorbidity Index score, and obstetric risk factors. …”
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“…MAIN OUTCOMES AND MEASURES: Multivariable regression analysis was used to identify patient sociodemographic (age, sex, race, ethnicity, educational level, income, English proficiency, housing type, and number living at home), clinical (dementia, mental illness, self-rated health, hearing impairment, and vision impairment), and technology (technology access and prior use of video visits) factors associated with respondents’ report of (1) practices offering telephone virtual visits only, (2) being offered telephone visits only when both video and telephone visits were available, and (3) receiving telephone visits only when both video and telephone visits were offered. …”
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“…Vaccinated (n=91, 44%) and unvaccinated (115, 56%) patients exhibited statistically similar distribution of males (56%), aged 78[69-86] years with comorbidities 5[4-7] distributed across Whites (88%), Blacks (8%), and other races (4%). There were no intergroup differences with most prevalent comorbidities at admission including hypertension (99%), diabetes (41%), chronic pulmonary disease (37%), obesity (36%), deficiency anemia (31%), and renal failure (25%). …”
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“…Only one study had data related to race or ethnicity. There was good evidence of an increase in emergency department visits for attempted suicide during the pandemic (rate ratio 1·22, 90% CI 1·08–1·37), modest evidence of an increase in emergency department visits for suicidal ideation (1·08, 0·93–1·25), and good evidence for only a slight change in self-harm (0·96, 0·89–1·04). …”
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“…This harmonization will facilitate the investigation of TA-TMA across populations diverse in race, ethnicity, age, disease indications, and transplantation characteristics. …”
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“…Long COVID and long Flu were compared in 4 outcome measures: (a) hospitalization (any cause); (b) hospitalization (for long COVID symptom); (c) emergency department (ED) visit (for long COVID symptom); and (d) number of outpatient encounters (for long COVID symptom), adjusted for age, sex, race, region, Medicare-Medicaid dual eligibility status, prior-year hospitalization, and chronic comorbidities. …”
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“…No association was found with gender (p=0.683) or race (p=0.080). CONCLUSION: New-onset atrial fibrillation during admission with Covid-19 is associated with both co-morbidity status and markers of disease severity at the time of hospital admission. …”
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“…Main funding source(s): This work was supported by the Netherlands Heart Foundation (CVON2014-09, RACE V Reappraisal of Atrial Fibrillation: Interaction between hyperCoagulability, Electrical remodelling, and Vascular Destabilisation in the Progression of AF), the European Union (ITN Network Personalized Therapies for Atrial Fibrillation: a translational network: PersonalizeAF, grant 860974, CATCH ME: Characterizing Atrial fibrillation by Translating its Causes into Health Modifiers in the Elderly, No. 633196). …”
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“…The other various covariates data obtained from the NHANES questionnaire and laboratory measurements, including age, gender, education, race/ethnicity, uric acid, total serum cholesterol, albumin, Vitamin C, folate, alcohol drinking, smoking status, history of diabetes, and hypertension. …”
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“…RESULTS: Of 337 screened individuals, 99 (mean [SD] age, 47 [12.7] years; 59 males [60%]; 85 with non-Hispanic White [86%] race and ethnicity) were enrolled into the study and randomized to treatment group 1 (n = 49) or group 2 (n = 50). …”
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“…In a post hoc subgroup analysis of the random forest classifier, model discrimination was evaluated by forensic center, race, age, sex, and education level. RESULTS: A total of 17,342 autopsies (n=5934, 34.22% cases) were used for model development and validation. …”
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