Citations

122 Background: We have previously shown baseline prostate atrophy (PA) was independently associated with lower prostate cancer (PC) risk. Beyond PC risk, for those who develop PC it is unclear whether PA is associated with smaller, less aggressive and/or less advanced tumors. Thus, we evaluated whether baseline PA and PA severity in men with initial negative biopsy for PC was associated with PC volume at the 2-year repeat prostate biopsy. Methods: Retrospective analysis of 763 men 50-75 years-old with negative baseline prostate biopsy and positive 2-year repeat biopsy for PC with complete data in the REDUCE study. Presence and severity of PA, and tumor volume were determined by central pathology. The association of PA at baseline biopsies with 2-year repeat biopsy cancer volume variables was evaluated with linear and Poisson regressions and controlling for age, race, body-mass index (BMI), digital rectal exam (DRE), prostate volume, baseline and pre-repeat biopsy prostate-specific antigen (PSA) and treatment arm. Results: PA was detected in 458 (60%) baseline biopsies and was considered mild in 398 (87%) and moderate in 60 (13%) cases. Patients with PA had significantly larger prostates and lower baseline and pre-repeat biopsy PSA (P < 0.01). PA was unrelated to race, BMI, DRE or treatment arm. At 2-year biopsy, men with baseline PA had significantly lower overall mean total tumor volume (2.04µL vs 3.02µL; P = 0.006), mean number of biopsy cores involved (1.79 vs 2.11; P = 0.001), mean percent of cores involved (17.9% vs 21.2%; P = 0.001), average core involvement (0.20µL vs 0.30µL; P = 0.001) and overall mean percent tumor involvement (1.64% vs 2.35%; P = 0.006) than those without PA. The results were virtually unchanged in multivariable analysis (all P < 0.05 except for overall percent tumor involvement where P = 0.061). In the analysis of PA severity, a biological gradient was observed where moderate PA was associated with greater reduction in tumor volume compared to mild PA (data not shown). Conclusions: In a cohort of men with 2-year repeat prostate biopsy positive for PC after a negative baseline biopsy, baseline PA was associated with lower PC volume. These results suggest PA may be associated with less aggressive PC.

116 Background: Prostateinflammation is linked with prostate cancer. However, whether prostate inflammation varies by race is unclear. Methods: We analyzed baseline acute and chronic prostate inflammation by race in REDUCE. REDUCE was a 4-year, multicenter, placebo-controlled study where all men received a single, negative prostate biopsy within 6 months prior to enrollment. Among 8,046 men who met the inclusion criteria, we included those with data on baseline biopsy prostate inflammation, acute/chronic or none, determined by central pathology. Logistic regression was used to compare prostate inflammation by race, and models were adjusted for demographic and clinical features. Results: Of the 8,046 men, 7,326 were white (91.1%), 184 (2.3%) black, 132 (1.6%) Asian, 323 (4.0%) Hispanic, and 81(1%) unknown. Seventy eight percent of men had chronic and 15% had acute prostate inflammation. Men with chronic inflammation were older (p<0.001), while men with acute inflammation were younger (p<0.001) compared to men with none prostate inflammation. Both acute and chronic inflammation was associated with lower PSA (all p≤0.0001), smaller prostate volume (all p≤0.0001) and geographic region (all p≤0.006). On crude analysis, compared to whites, Asian men were two times more likely to have acute prostate inflammation (OR=1.92, 95%CI: 1.29-2.85, p=0.001), whereas the associations with Hispanic and black race were not significant (all p≥0.39). However, on multivariable analysis, black men were 36% less likely to have acute prostate inflammation (OR=0.64, 95%CI: 0.41-0.99, p=0.04), whereas the likelihood of having acute prostate inflammation remained high in Asians (OR=1.85, 95%CI: 1.25-2.85, p=0.004). No associations by race were found with chronic prostate inflammation. Conclusions: Given that at the population level, black race is a high risk factor for PC and Asian men have lower risk of PC, these data indicate that the presence of acute inflammation in a negative prostate biopsy could be an indication of future PC risk. Further studies to confirm these findings are needed. Clinical trial information: NCT00056407.

ObjectiveTo determine if cholesterol is a risk factor for the development of lower urinary tract symptoms in asymptomatic men.MethodsA post‐hoc analysis of the Reduction by Dutasteride of Prostate Cancer Events (REDUCE) study was carried out in 2323 men with baseline International Prostate Symptom Score <8 and not taking benign prostatic hyperplasia or cholesterol medications. Cox proportion models were used to test the association between cholesterol, high‐density lipoprotein, low‐density lipoprotein and the cholesterol : high‐density lipoprotein ratio with incident lower urinary tract symptoms, defined as first report of medical treatment, surgery or two reports of an International Prostate Symptom Score >14.ResultsA total of 253 men (10.9%) developed incident lower urinary tract symptoms. On crude analysis, higher high‐density lipoprotein was associated with a decreased lower urinary tract symptoms risk (hazard ratio 0.89, P = 0.024), whereas total cholesterol and low‐density lipoprotein showed no association. After multivariable adjustment, the association between high‐density lipoprotein and incident lower urinary tract symptoms remained significant (hazard ratio 0.89, P = 0.044), whereas no association was observed for low‐density lipoprotein (P = 0.611). There was a trend for higher cholesterol to be linked with higher lower urinary tract symptoms risk, though this was not statistically significant (hazard ratio 1.04, P = 0.054). A higher cholesterol : high‐density lipoprotein ratio was associated with increased lower urinary tract symptoms risk on crude (hazard ratio 1.11, P = 0.016) and adjusted models (hazard ratio 1.12, P = 0.012).ConclusionsAmong asymptomatic men participating in the REDUCE study, higher cholesterol was associated with increased incident lower urinary tract symptoms risk, though the association was not significant. A higher cholesterol : high‐density lipoprotein ratio was associated with increased incident lower urinary tract symptoms, whereas higher high‐density lipoprotein was protective. These findings suggest dyslipidemia might play a role in lower urinary tract symptoms progression.

Abstract Rationale Noninvasive ventilation (NIV) is increasingly used in patients with acute respiratory distress syndrome (ARDS). The evidence supporting NIV use in patients with ARDS remains relatively sparse. Objectives To determine whether, during NIV, the categorization of ARDS severity based on the PaO2/FiO2 Berlin criteria is useful. Methods The LUNG SAFE (Large Observational Study to Understand the Global Impact of Severe Acute Respiratory Failure) study described the management of patients with ARDS. This substudy examines the current practice of NIV use in ARDS, the utility of the PaO2/FiO2 ratio in classifying patients receiving NIV, and the impact of NIV on outcome. Measurements and Main Results Of 2,813 patients with ARDS, 436 (15.5%) were managed with NIV on Days 1 and 2 following fulfillment of diagnostic criteria. Classification of ARDS severity based on PaO2/FiO2 ratio was associated with an increase in intensity of ventilatory support, NIV failure, and intensive care unit (ICU) mortality. NIV failure occurred in 22.2% of mild, 42.3% of moderate, and 47.1% of patients with severe ARDS. Hospital mortality in patients with NIV success and failure was 16.1% and 45.4%, respectively. NIV use was independently associated with increased ICU (hazard ratio, 1.446 [95% confidence interval, 1.159–1.805]), but not hospital, mortality. In a propensity matched analysis, ICU mortality was higher in NIV than invasively ventilated patients with a PaO2/FiO2 lower than 150 mm Hg. Conclusions NIV was used in 15% of patients with ARDS, irrespective of severity category. NIV seems to be associated with higher ICU mortality in patients with a PaO2/FiO2 lower than 150 mm Hg. Clinical trial registered with www.clinicaltrials.gov (NCT 02010073).

Background/Aims: Due to the progressive nature of type 2 diabetes mellitus (T2DM), deterioration in a patient’s general health is inevitable. Hence, the overall health of a T2DM patient is poor. Markers of worsening overall health such as metabolic abnormalities are predominant in the progression to any of the T2DM complications, which mask patterns of progression to individual complications, thereby making it difficult to predict which particular complication a patient will progress to (i.e. direction of progression). We aim to unmask the patterns and develop the most distinctive and predictive markers of progression to each individual complication. Methods: We take a two-step modeling approach using 94,536 T2DM patients’ 10-year, de-identified data from the OptumLabs™ Data Warehouse, a database that includes retrospective administrative claims data on commercially insured and Medicare Advantage enrollees, as well as electronic medical record data from a nationwide network of provider groups. First, we build a “general progression” model that predicts development of any new complication and captures markers of general health deterioration. Next, we develop “differential progression” models that predict progression to individual complications. We use least absolute shrinkage and selection operator (LASSO)-penalized Cox regressions to select variables and penalize the “differential progression” models against the “general progression” model such that “differential progression” patterns become unmasked. Significance of markers is determined via permutation test and predictive performance is evaluated through bootstrap estimation. Results: For a 6-year follow-up period, 31,968 (34%) of all patients progressed to at least one complication: chronic kidney disease (12%), ischemic heart disease (11%), cerebrovascular disease (8%), congestive heart failure (5%), peripheral vascular disease (5%), and renal failure (1%). In this ongoing research, we anticipate our predictive model to demonstrate improved interpretation of progression to each individual complication without causing reduced predictive performance. Conclusion: We study the progression of T2DM to multiple complications systematically and comprehensively by applying data mining techniques on the large amount of claims and clinical data from the OptumLabs Data Warehouse. By unmasking previously masked patterns and developing markers that suggest progression to a specific target complication, our study findings will assist clinicians in the management and treatment of T2DM.