Development and validation of an EHR-based risk prediction model for geriatric patients undergoing urgent and emergency surgery by Edward N. Yap, Jie Huang, Joshua Chiu, Robert W. Chang, Bradley Cohn, Judith C. F. Hwang, Mary Reed

“…Results Overall, 66,262 patients (median [IQR] age 78 [(70.9–84.0], female 53.9%, White race 68.5%) received urgent or emergency non-cardiac surgery (25.7% orthopedic cases, 21.9% general surgery cases). …”
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Enhancing Health Equity and Patient Engagement in Diabetes Care: Technology-Aided Continuous Glucose Monitoring Pilot Implementation Project by Madhur Thakur, Eric W Maurer, Kim Ngan Tran, Anthony Tholkes, Sripriya Rajamani, Roli Dwivedi

“…We recruited 148 participants with a mean age of 54 years; 39.8% (59/148) self-identified their race as non-White, 9.5% (14/148) self-identified their ethnicity as Hispanic or Latino, and one-third (53/148, 35.8%) were uninsured. …”
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The impact of anticoagulant-related bleeding on quality of life: Development of a novel measure based on perspectives from older adults. by Anna L Parks, Stacey L Slager, Amy M Cizik, Margaret C Fang, Mark A Supiano, Patti P Katz, Daniel M Witt

“…We purposely sampled by age, sex, race/ethnicity, diagnosis, bleeding history and anticoagulant. …”
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Using Facebook Ads to promote blood pressure checks among African Americans in the United States: A descriptive study by Katherine J POLAK, Jessica LC SAPP, Jennifer L SEDILLO

“…Facebook does not make race demographics available to advertisers, so it is difficult to discern if the population of Facebook users reached were part of the African American community.…”
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Interactions et transactions identitaires d'immigrés noirs dans l'espace public et les centres de santé au Maroc by Annélie Delescluse

“…Through these reactions, we will see that African immigrants in Morocco demonstrate agentivity in coping with the various hazards of their daily lives, even if they incorporate the idea of race to which they are referred. The tactics they use enable them to carry out transactions or negotiations in order to deal with their identity, which is primarily the bearer of various stigmas. …”
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Cost of Serum Versus Skin Allergy Testing Among Medicare Fee-for-Service Beneficiaries in the United States by Kenny Y. Kwong, Yang Z. Lu

“…Multivariate linear regression was performed on the association between testing patterns and each cost and utilization measure, controlling for parity, age, sex, race/ethnicity, and dual-eligible status. **Results:** We analyzed 270 831 patients and 327 263 allergy-related claims. …”
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Association of anxiety status and anxiety duration with constipation in adult Americans: a cross-sectional study using data from the NHANES 2007–2010 by Xinran Li, Conghui Bian, Hui Dai, Xingrui Chen, Haihua Qian, Dan Zhang

“…The analysis accounted for potential confounding factors, including gender, age, race/ethnicity, education level, marital status, PIR, BMI, smoking status, drinking status, chronic diseases, and dietary intake. …”
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The Association of Polycystic Ovary Syndrome and Gestational Hypertensive Disorders in a Diverse Community-Based Cohort by Diane Schneider, Joel R. Gonzalez, Miya Yamamoto, Jingrong Yang, Joan C. Lo

“…PCOS was associated with increased odds of PIH (odds ratio, OR 1.7, 95% confidence interval, CI 1.2-2.4), remaining significant after adjusting for age, race/ethnicity, nulliparity, and fertility treatment; however, findings were attenuated and no longer significant after adjusting for weight status (OR 1.1, CI 0.7-1.7). …”
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Interdisciplinary Team Pilot to Reduce Time to Administration of Piperacillin/Tazobactam in the Emergency Department at a Veterans Affairs Medical Center by DiVittorio MM, Fisher T, Steadman B, Cone B, Elfessi Z

“…The two groups were similar in age, sex, and African-American race. There was a statistically significant reduction in the average time from EM pharmacist verification to nurse administration when comparing the groups (46.5± 49.8 vs 30.6± 28.7 minutes, p=0.004). …”
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Incidence of Hyperlipidemia among Adults Initiating Antiretroviral Therapy in the HIV Outpatient Study (HOPS), USA, 2007–2021 by Jun Li, Selom Agbobli-Nuwoaty, Frank J. Palella, Richard M. Novak, Ellen Tedaldi, Cynthia Mayer, Jonathan D. Mahnken, Qingjiang Hou, Kimberly Carlson, Angela M. Thompson-Paul, Marcus D. Durham, Kate Buchacz

“…Other factors independently associated with hyperlipidemia included older age, non-Hispanic White race/ethnicity, and ART without tenofovir disoproxil fumarate. …”
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Assessing the Experiences of Sexual and Gender Minority Applicants to Orthopaedic Surgery Residency by Douglas J. Weaver, MD, Tanios Dagher, BS, Ngoc Duong, MS, Sara Winfrey, MD, Alexander Koo, MD, Tessa Balach, MD, FAOA

“…Afterward, logistic regressions adjusted for gender, age, and race were performed. Results:. The overall response rate was 15.4% (n = 136/881). …”
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The Association of Retinal Disease with Vision Impairment and Functional Status in Medicare Patients by Vincent Garmo, Xiaohui Zhao, Carmen D. Ng, Aimee Near, Tania Banerji, Keiko Wada, Gary Oderda, Diana Brixner, Joseph Biskupiak, Ferhina S. Ali, Archad M. Khanani, Alicia Menezes, Ibrahim M. Abbass

“…After adjusting for age, sex, race/ethnicity, poverty status, comorbidities, and other relevant covariates, nAMD, DME, and RVO were not significantly associated with anxiety/depression, falls, or fractures. …”
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Real-World Clinical Outcomes and Treatment Patterns Among Black and Non-Black Patients With Prostate Cancer Initiated on Apalutamide in a Urology Setting by Benjamin H. Lowentritt, Carmine Rossi, Erik Muser, Frederic Kinkead, Bronwyn Moore, Patrick Lefebvre, Dominic Pilon, Shawn Du

“…Outcomes were reported separately based on mCSPC or nmCRPC status and race (ie, Black or non-Black). **Results:** This study included 589 patients with mCSPC (mean age, 75.9 years) and 406 patients with nmCRPC (mean age, 78.8 years). …”
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Medicaid Eligibility and Time to Re-incarceration Among Previously Incarcerated Subjects With Schizophrenia by Chris Kozma, Michael Dickson, Jacqueline Pesa, Carmela J. Benson

“…Covariates included age, race, gender, marital status, and reason for incarceration. …”
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Factors associated with in-hospital mortality in octogenarians managed by geriatric service in a referral hospital in Colombia by Carlos Mario Cortes Bahamon, Jenny Rodríguez Ángel, Jennifer Katherine Ballesteros Tapias, Diego Andrés Chavarro-Carvajal, Oscar Mauricio Muñoz

“…It is important because Colombia has multiple ethnic races, with different types of longevity, and we have a history of social violence that affects our life expectancy. …”
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Oxidative stress and retinopathy: evidence from epidemiological studies by Xiangliang Liu, Yu Chang, Yuguang Li, Yingrui Liu, Wei Song, Jin Lu, Naifei Chen, Jiuwei Cui

“…Subgroup analyses and interaction tests were conducted based on age, sex, race, BMI, education level, and diabetes status. …”
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Pre-injury frailty and clinical care trajectory of older adults with trauma injuries: A retrospective cohort analysis of A large level I US trauma center. by Oluwaseun Adeyemi, Corita Grudzen, Charles DiMaggio, Ian Wittman, Ana Velez-Rosborough, Mauricio Arcila-Mesa, Allison Cuthel, Helen Poracky, Polina Meyman, Joshua Chodosh

“…We controlled for age, sex, race/ethnicity, health insurance type, body mass index, Charlson Comorbidity Index, injury type and severity, and Glasgow Coma Scale score. …”
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Association of Albumin‐To‐Creatinine Ratio With Diabetic Retinopathy Among US Adults (NHANES 2009–2016) by Han Dai, Ling Liu, Weiwei Xu

“…Multivariate logistic regression models, adjusted for demographic (sex, age, race and education) and clinical factors (WBC, PLT, RDW, HbA1c, HBP and CHD), examined the associations between biomarkers and DR. …”
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Machine Learning-Based predictive model for adolescent metabolic syndrome: Utilizing data from NHANES 2007–2016 by Yu-zhen Zhang, Hai-ying Wu, Run-wei Ma, Bo Feng, Rui Yang, Xiao-gang Chen, Min-xiao Li, Li-ming Cheng

“…We further interpreted the LGB model using SHAP, the SHAP hive plot showed that the predictor variables were, in descending order of importance, BMI age sex-specific percentage, weight, upper arm circumference, thigh length, and race. Finally, we deployed it online for broader accessibility. …”
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Higher Levels of Postoperative Mobility and Activity as Measured by the AM-PAC 6 Clicks Instrument Are Associated with Improved Outcomes after Lumbar Fusion by Parimal Rana, Jane C. Brennan, Andrea H. Johnson, Justin J. Turcotte, Chad M. Patton

“…Results: After controlling for age, body mass index, sex, race, number of levels, and preoperative PROMIS-PF, higher 6-Clicks mobility scores decreased the likelihood of 3+ day LOS (OR: 0.72; p=0.010), non-home discharge (OR: 0.68; p<0.001), and 30-day ED return (OR: 0.78; p=0.022) and increased the likelihood of PROMIS MCID achievement (OR: 1.28; p=0.004). …”
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