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Browsing by Author "DeMichael, Kelly"
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Item Outcomes of open versus robotic partial nephrectomy: a 20-year single institution experience(Springer Nature, 2024-08) Love, Harrison; Yong, Courtney; Slaven, James E.; Mahenthiran, Ashorne K.; Roper, Chinade; Black, Morgan; Zhang, William; Patrick, Elise; DeMichael, Kelly; Wesson, Troy; O'Brien, Sean; Farrell, Rowan; Gardner, Thomas; Masterson, Timothy A.; Boris, Ronald S.; Sundaram, Chandru P.; Urology, School of MedicineRobotic assisted partial nephrectomy (RPN) has emerged in urologic practice for the management of appropriately sized renal masses. We provide a 20-year comparison of the outcomes of open partial nephrectomy (OPN) versus RPN for renal cell carcinoma (RCC) at our institution. An IRB-approved retrospective review was conducted of RCC patients at a single institution from 2000 to 2022 who underwent RPN or OPN. In addition to demographics, procedural details including ischemia and operative time were collected. Oncologic outcomes were evaluated through Kaplan–Meier statistical analysis to determine recurrence-free survival (RFS), cancer-specific survival (CSS), and overall survival (OS) analysis. 849 patients underwent RPN while 385 underwent OPN. 61% were male with average age of 58.8 ± 12.8 years. Operative time was shorter in the open group (184 vs 200 min, p = 0.002), as was ischemia time (16 vs 19 min, p = 0.047). However, after 2012, RPN became more common than OPN with improving ischemia time. RPN patients had significantly improved RFS (HR 0.45, p = 0.0004) and OS (HR 0.51, p = 0.0016) when controlled for T-stage and margin status. More > pT1 masses were managed with OPN than RPN (11.2 vs 5.4%, p < 0.0001). At our institution, RPN had an increasing incidence with reduced ischemia time compared to OPN over the last 10 years. While higher stage renal masses were more often managed with OPN, selective use of RPN does offer improved oncologic outcomes. Further investigation is needed to evaluate optimization of the selection of RPN versus OPN in the nephron-sparing management of renal masses.Item Social Determinants of Health Associated with Inpatient Admissions for Congestive Heart Failure, Diabetes, Chronic Obstructive Pulmonary Disease, and Asthma(2023-07) Deckbar, John Quentin; DeMichael, Kelly; Gad, Wael; Guerrero, Jonathan; Muvuka, BarakaIntroduction: The CDC and American Lung Association estimate that congestive heart failure (CHF), diabetes, chronic obstructive pulmonary disorder (COPD), and asthma (COPD/asthma) cost Americans $30.7 billion, $327 billion, and $50 billion respectively each year. They account for most inpatient readmissions at St. Mary Medical Center (SMMC), an urban hospital in Northwest Indiana. There is need for further research on the social, behavioral, and demographic determinants associated with these conditions. This study examined the social, behavioral, and demographic determinants associated with inpatient admission for CHF, diabetes, COPD/asthma in SMMC’s service area. Methods: This retrospective study was part of a multi-phased Community-Based Participatory Research partnership between SMMC and Indiana University School of Medicine Northwest. SMMC implemented a pilot screening and referral program to assess social determinants of health in their service area as part of their Hospital Readmission Reduction Program. This study included data from 10,953 inpatient admissions between January 2021 to March 2023, majority of whom were transferred from the emergency department. Data analysis consisted of univariate, bivariate (Chi-square), and multivariate (binary logistic regression) analysis in SPSS 29.0. Results: Bivariate analysis revealed a statistically significant association between CHF and smoking, age, insurance type, and income. Diabetes was significantly associated with smoking, smokeless tobacco use, age group, race, income, and sex. COPD/asthma was significantly associated with smoking, age group, transportation needs, stress, insurance, ethnicity, and sex. Multivariate analysis found the following significant associations: age group with both CHF (p<0.001) and diabetes (p<0.001), former smoking with both CHF (p = 0.007) and COPD/asthma (p = 0.049), current smoking with COPD/asthma (p = 0.016), and sex with diabetes (p <0.001). Conclusions: These findings indicate significant associations between multiple socio-behavioral factors and admission for CHF, diabetes, COPD/asthma. Multi-risk-factor interventions may address these interactions and contribute to reducing readmission.