Hemoglobin, Albumin, Lymphocyte, and Platelet Count is a Significant Biomarker Surrogate for Nutritional Status to Predict Overall Survival in Patients Post-radical Cystectomy

INTRODUCTION: Nutritional status is an independent predictor of overall survival after radical cystectomy. Various biomarkers of nutritional status are proposed to predict postoperative outcome, including albumin, anemia, thrombocytopenia, and sarcopenia. Recently, a score comprising hemoglobin, albumin, lymphocyte, and platelet counts was postulated as an encompassing biomarker to predict overall survival post-radical cystectomy in a single-institution study. However, cutoffs for hemoglobin, albumin, lymphocyte, and platelet count are not well defined. In this study, we analyzed hemoglobin, albumin, lymphocyte, and platelet count thresholds predicting overall survival and examined the platelet-to-lymphocyte as an additional prognostic biomarker. METHODS: Fifty radical cystectomy patients were retrospectively evaluated from 2010-2021. American Society of Anesthesiologists classification, pathological data, and survival were extracted from our institutional registry. Univariable and multivariable Cox regression analysis was fit to the data to predict overall survival. RESULTS: Median follow-up was 22 (12-54) months. Hemoglobin, albumin, lymphocyte, and platelet count (continuous) was a significant predictor of overall survival on multivariable Cox regression analysis (HR 0.95, 95% CI: 0.90-0.99, = .03), adjusting for Charlson Comorbidity Index, lymphadenopathy (pN \u3eN0), muscle-invasive disease, and neoadjuvant chemotherapy. Optimal hemoglobin, albumin, lymphocyte, and platelet count cutoff was 25.0. Patients with hemoglobin, albumin, lymphocyte, and platelet count \u3c25.0 had inferior overall survival (median, 33 months) vs with those with hemoglobin, albumin, lymphocyte, and platelet count ≥25.0 (median, not reached) ( = .03). CONCLUSIONS: Low hemoglobin, albumin, lymphocyte, and platelet count \u3c25.0 was an independent predictor of inferior overall survival

Role of Race and Insurance Status in Prostate Cancer Diagnosis-to-Treatment Interval

INTRODUCTION: Numerous studies have shown that both race and insurance status may affect prostate cancer (PCa) workup and treatment. Preliminary investigations have shown that these factors may be associated with treatment delays, which may indicate inequitable care and increase risk of tumor progression. This investigation aimed to assess whether race and insurance impacted the interval between multiparametric MRI (mpMRI)-to-biopsy, and biopsy-to-prostatectomy. MATERIALS AND METHODS: A single-institution analysis of 261 patients with recorded race and insurance data was performed using an Institutional Review Board-compliant database with information spanning from 2016 to 2022. Race was self-reported during intake, and insurance status was retrieved from the electronic medical record. Insurance was sub-divided into private, Medicare, and Medicaid. Diagnostic or treatment latency was defined as time between mpMRI-to-biopsy, or biopsy-to-surgery. RESULTS: Stratified by race, there was no difference in either latency period when comparing African American (AA) and white patients. Stratified by insurance status, there was no difference in time from mpMRI-to-biopsy (P = .50), but there was a significantly longer interval from biopsy-to-prostatectomy for patients with Medicaid insurance (P = .02). Patients with Medicaid waited on average 168 days to receive surgery, in contrast to 92 days for private and 87 for Medicare. Notably, 82% of Medicaid patients were AA. CONCLUSION: Insurance status, which is inherently linked to race and social determinants of health, portended a significantly increased interval between biopsy and surgery. Physicians should be aware of the relationship between insurance status and treatment delay, as well as its potential downstream consequences