Cost Analysis of R-CHOP Versus Dose-Adjusted R-EPOCH in Treatment of Diffuse Large B-Cell Lymphoma with High-Risk Features

Dose-adjusted rituximab, etoposide, prednisone, vincristine, cyclophosphamide and doxorubicin (DA.R-EPOCH) is used for upfront treatment of high-risk diffuse large B cell lymphoma (DLBCL). In this study, we compared the outcomes in patients with high-risk DLBCL who received frontline rituximab, cycophosphamide, doxorubicin, vincristine, prednisone (R-CHOP) or DA.R-EPOCH immunochemotherapy. Outcomes and treatment-related cost were analyzed. DLBCL with one of the following features were included in the study: MYC ± BCL2 or BCL6 rearrangement by FISH or MYC overexpression by immunohistochemistry, Ki67 index ≥ 80% or nongerminal center immunophenotype, tumor measuring ≥5 cm and NCCN- IPI score ≥4. A total of 80 patients were treated with R-CHOP (n = 52, 65%) or DA.R-EPOCH (n = 28, 35%), with a median follow-up of 11.2 months (range: 0.7–151.3 months). The hazard ratios (HRs) for progression-free survival and overall survival were 0.79 [95% confidence interval (CI) 0.28%–2.29%, p = 0.67] and 0.86 (95% CI 0.26%–2.78%, p = 0.80), respectively for DA.R-EPOCH compared to R-CHOP. The total mean cost was USD106,940 ± USD39,351 and USD58,509 ± 24,588 for DA.R-EPOCH and R-CHOP respectively (p < 0.001). In our analysis, DA.R-EPOCH resulted comparable clinical outcomes and increased treatment-related expenses compared to R-CHOP in high-risk DLBCL

Quantitative Abdominal Arterial Calcification Correlates with Kidney Transplant Waitlist Mortality

Introduction: The scarcity of available organs for kidney transplantation has resulted in a substantial waiting time for patients with end-stage kidney disease. This prolonged wait contributes to an increased risk of cardiovascular mortality. Calcification of large arteries is a high-risk factor in the development of cardiovascular diseases, and it is common among candidates for kidney transplant. The aim of this study was to correlate abdominal arterial calcification (AAC) score value with mortality on the waitlist. Methods: We modified the coronary calcium score and used it to quantitate the AAC. We conducted a retrospective clinical study of all adult patients who were listed for kidney transplant, between 2005 and 2015, and had abdominal computed tomography scan. Patients were divided into two groups: those who died on the waiting list group and those who survived on the waiting list group. Results: Each 1,000 increase in the AAC score value of the sum score of the abdominal aorta, bilateral common iliac, bilateral external iliac, and bilateral internal iliac was associated with increased risk of death (HR 1.034, 95% CI: 1.013, 1.055) (p = 0.001). This association remained significant even after adjusting for various patient characteristics, including age, tobacco use, diabetes, coronary artery disease, and dialysis status. Conclusion: The study highlights the potential value of the AAC score as a noninvasive imaging biomarker for kidney transplant waitlist patients. Incorporating the AAC scoring system into routine imaging reports could facilitate improved risk assessment and personalized care for kidney transplant candidates

Hospital-Acquired Conditions Reduction Program, Racial and Ethnic Diversity, and Magnet Designation in the United States

OBJECTIVE: A key quality indicator in any health system is its ability to reduce morbidity and mortality. In recent years, healthcare organizations in the United States have been held to stricter measures of accountability to provide safe, quality care. This study aimed to explore the contextual factors driving racial disparities in hospital-acquired conditions incident rates among Medicare recipients in Magnet and non-Magnet hospitals. METHODS: A cross-sectional observational study was performed using data from Hospital-Acquired Condition Reduction Program. Performance from 1823 hospitals were used to examine the association between Magnet recognition and community\u27s racial and ethnic differences in hospital performance on the Hospital-Acquired Condition Reduction Program. The unit of analysis was the hospital level. A propensity score matching approach was used to take into account differences in baseline characteristics when comparing Magnet and non-Magnet hospitals. The outcome measures were risk-standardized hospital performance on the Hospital-Acquired Condition Reduction Program domains and overall performance. RESULTS: Study findings show that Magnet hospitals had decreased methicillin-resistant Staphylococcus aureus (MRSA) rate (β = -0.22; 95% confidence interval, -0.36 to -0.08) compared with non-Magnet hospitals. No other statistical difference was identified. CONCLUSIONS: Results from this study show community\u27s racial and ethnic differences in hospital-acquired conditions occurrence differ between Magnet and non-Magnet hospitals for MRSA, indicating its association with nursing practice. However, because this improvement is limited to only MRSA, there are likely opportunities for Magnet hospitals to continue process improvements focused on additional Hospital-Acquired Condition Reduction Program measures

Unraveling the impact of abdominal arterial calcifications on kidney transplant waitlist mortality through ensemble machine learning

Abstract The scarcity of organ donors relative to the number of patients with End Stage Kidney Disease (ESKD) has led to prolonged waiting times for kidney transplants, contributing to elevated cardiovascular mortality risk. Transplant professionals are tasked with the complex allocation of limited organs to a vulnerable patient group facing heightened morbidity and mortality risk. The need for continuous re-evaluation of waitlisted patients is evident due to the significant number who perish while awaiting transplantation. Among individuals with ESKD, vascular calcification, particularly Abdominal Arterial Calcifications (AAC), holds predictive value for cardiovascular events and mortality. However, a standardized method to quantify AAC’s prognostic potential remains lacking, especially for kidney transplant evaluations. This study presents an ensemble machine learning (ML) approach to study the relationship between AAC score and mortality in patients on the waitlist and triage patients needing transplantation. Using the AAC score, the proposed ML model can predict kidney transplant waitlist morality with an accuracy of 78% while its accuracy is 68% without using this score. This study leverages explainable ML to explore the relationship between predictors and mortality in waitlisted patients, aiming to improve patient triage accuracy

Hospital Partnerships in Population Health Initiatives

Hospitals are expected to fulfill a role in the communities they serve by improving the health of the population in the community as mandated in the Affordable Care Act. One way hospitals achieve this is to create partnerships with diverse organizations, such as local public health departments, state/federal agencies, and other health care organizations. The aim of this study is to examine characteristics of hospitals that developed partnerships based on improving population health. This study utilized the 2015 Population Health Survey, American Hospital Association Database, and Dartmouth Atlas of Health Care. Hospital characteristics included size, ownership status, part of a system, teaching status location, Medicare percentage, Medicaid percentage, average stay length, and inpatient days per 1000 persons. Level of partnership was measured by the hospital\u27s current working relationship with other hospitals/health care systems or local/state/other agencies. Univariate, bivariate, and multivariate regression analyses were used to analyze the relationship between hospital partnerships and organizational characteristics. Hospitals with strong relationships tend to be larger and not-for-profit hospitals, hospitals with system members and located in urban areas, and teaching-affiliated hospitals. This study also found hospital characteristics were related to hospitals\u27 partnerships. Hospitals within health care systems and with high inpatient volume were more likely to report relationships that were stronger. This study provides a systematic and updated look at hospitals\u27 partnership when looking at commitment to population health improvement and contributes to the literature by informing about the greater need to support rural and smaller hospitals with population health outreach activities

Hospital Geographic Location and Unexpected Complications in term Newborns in Florida

INTRODUCTION: Birth trauma rates in term of neonates is a quality measure used by the Joint Commission. In the United States birth trauma rates occurs at a rate of 37 per 1000 live births and are on the decline. However, this decline has been significantly lower among term neonates born in rural facilities. There is a critical lack of evidence toward the influence geographical risk factors has on birth trauma rates for neonatal patients. We sought to measure rural community and hospital characteristics associated with birth trauma. METHODS: A retrospective longitudinal study design was used to examine inpatient medical discharge data across 103 hospitals of neonates at birth from 2013 to 2018. Discharge data was linked to the American Hospital Association annual survey. We used a multi-level mixed effect model to investigate the relationship between individual and hospital-level attributes associated with increased risk of birth trauma among neonatal patients. RESULTS: We found that rural hospitals were 3.99 times (p \u3c 0.001) more likely to experience higher birth trauma than urban hospitals. Medium sized hospitals were 2.11 times (p \u3c 0.001) more likely to experience higher birth trauma. Hospitals who indicate having a safety culture were more likely (p \u3c 0.05) to have high rates of birth trauma. DISCUSSION: Neonates born at rural hospitals, were more likely to experience a birth-related injury. Policy strategies focusing on improving health care quality in rural areas are critical to mitigating this increased risk of birth trauma. Further research is required to assess how physician characteristics may impact birth trauma rates