Maternal and neonatal outcomes by labor onset type and gestational age.

OBJECTIVE: We sought to determine maternal and neonatal outcomes by labor onset type and gestational age. STUDY DESIGN: We used electronic medical records data from 10 US institutions in the Consortium on Safe Labor on 115,528 deliveries from 2002 through 2008. Deliveries were divided by labor onset type (spontaneous, elective induction, indicated induction, unlabored cesarean). Neonatal and maternal outcomes were calculated by labor onset type and gestational age. RESULTS: Neonatal intensive care unit admissions and sepsis improved with each week of gestational age until 39 weeks (P < .001). After adjusting for complications, elective induction of labor was associated with a lower risk of ventilator use (odds ratio [OR], 0.38; 95% confidence interval [CI], 0.28-0.53), sepsis (OR, 0.36; 95% CI, 0.26-0.49), and neonatal intensive care unit admissions (OR, 0.52; 95% CI, 0.48-0.57) compared to spontaneous labor. The relative risk of hysterectomy at term was 3.21 (95% CI, 1.08-9.54) with elective induction, 1.16 (95% CI, 0.24-5.58) with indicated induction, and 6.57 (95% CI, 1.78-24.30) with cesarean without labor compared to spontaneous labor. CONCLUSION: Some neonatal outcomes improved until 39 weeks. Babies born with elective induction are associated with better neonatal outcomes compared to spontaneous labor. Elective induction may be associated with an increased hysterectomy risk.

Mitral valve prolapse and its relationship with stroke

The purpose of this study was to elucidate the relationship between mitral valve prolapse and stroke. A population-based historical cohort investigation was conducted among residents of Olmsted County, Minnesota who had an initial echocardiographic diagnosis of mitral valve prolapse from 1975 through 1989. This cohort (N = 1085) was followed for stroke outcomes using the resources of an operational medical record linkage system. There was an overall two-fold increase in the incidence of stroke among individuals with mitral valve prolapse relative to a standard population (standardized morbidity ratio = 2.12, 95% confidence limits = 1.33-3.21). When the data were partitioned by duration of follow-up from the diagnosis of mitral valve prolapse, or by the calendar years at echocardiographic diagnosis, respectively, the association between mitral valve prolapse and stroke was not modified. Mitral valve prolapse subjects 85 years and older were at highest increased risk of developing strokes relative to the general population (standardized morbidity ratio = 5.47, 95% confidence limits = 2.20-11.24). Coronary heart disease, atrial fibrillation, diabetes mellitus and hypertension, were unlikely to have confounded the association between mitral valve prolapse and stroke.^ The cumulative risk of first stroke among individuals initially diagnosed with mitral valve prolapse age 15 to 64 years, given survival to 15.2 years of follow-up, was 4.0%. The cumulative risk of first stroke among individuals initially diagnosed with mitral valve prolapse age 65 to 74 years, given survival to 11.2 years of follow-up, was 13.2%. The cumulative risk of first stroke among individuals initially diagnosed with mitral valve prolapse age 75 years and older, given survival to 6.7 years of follow-up, was 30.6%.^ Among individuals with mitral valve prolapse, age, diabetes, and atrial fibrillation were associated with an increased risk of stroke. Atrial fibrillation was associated with a four-fold rate of stroke and diabetes associated with a seven-fold rate of stroke.^ Findings from this research support the hypothesis that mitral valvular heart prolapse is linked with a stroke sequela. ^

Genetic variants within the Wnt/ B-catenin signaling pathway as indicators of bladder cancer clinical outcomes

The genetic factors that influence bladder cancer clinical outcomes are largely unknown. In this clinical outcomes study, I assessed genetic variations in the Wnt/β-catenin stem-cell pathway genes for association with recurrence and progression. A total of 230 SNPS in 40 genes from the Wnt/β-catenin pathway were genotyped in 419 histologically confirmed non-muscle invasive bladder cancer cases. Several significant associations were observed in the clinical outcomes analysis. Under the dominant model WNT8B: rs4919464 (HR: 1.55, 95% CI: 1.17-2.06, P=2.2x10-3) and WNT8B: rs3793771 (HR: 1.54, 95% CI: 1.09-1.62, P=4.6x10-3 ) were statistically significantly associated with an increase risk of recurrence while two other variants, APC2: rs11668593 (HR: 2.50, 95% CI: 1.43-4.35, P=1.2x10-3) and LRP5 : rs312778 (HR: 1.81, 95% CI: 1.23-2.65, P=2.7x10-3), were significantly associated with recurrence risk under the recessive model of inheritance. Four SNPs in the recessive model were associated with an increased risk of progression (AXIN2: rs1544427, LRP5: rs312778, AXIN1: rs370681, AXIN1: rs2301522). LRP5: rs312778 had the most significant increased risk of progression with a 2.68 (95% CI: 1.52-4.72, P=6.4x10-4)-fold increased risk. Stratification analysis based on treatment regimen (transurethral resection (TUR) and Bacillus Calmette-Guérin (BCG)) was also performed. Individuals with at least one variant in AXIN2: rs2007085 were found to have a 2.09 (95% CI: 1.24-3.52, P=5.4x10-3) -fold increased risk of recurrence in those that received TUR only, and no statistically significant effect was seen in those that received BCG. Individuals who received TUR with at least one variant in LEF1: rs10516550 were found to have a 2.26 (95% CI: 1.22-4.18, P=9.7x10-3)-fold increase risk of recurrence and no statistically significant effect was found in individuals who received BCG. Also, the recessive model of LRP6: rs2302684 in TUR only treatment was shown to have a 1.95 (95%CI: 1.18-3.21, P=8.8x10 -3)-fold increased risk of recurrence, and a suggested protective effect associated with a (HR: 0.83, 95% CI: 0.51-1.37, P=0.468) decreased risk of recurrence. Together, these findings implicate the Wnt/β-catenin stem-cell pathway as playing a role in bladder cancer clinical outcomes and have important implications for personalization of future treatment regimens. ^

Renal Cryoablation: Investigation of Periprocedural Visualization Tools and Treatment Response Quantification

Cryoablation for small renal tumors has demonstrated sufficient clinical efficacy over the past decade as a non-surgical nephron-sparing approach for treating renal masses for patients who are not surgical candidates. Minimally invasive percutaneous cryoablations have been performed with image guidance from CT, ultrasound, and MRI. During the MRI-guided cryoablation procedure, the interventional radiologist visually compares the iceball size on monitoring images with respect to the original tumor on separate planning images. The comparisons made during the monitoring step are time consuming, inefficient and sometimes lack the precision needed for decision making, requiring the radiologist to make further changes later in the procedure. This study sought to mitigate uncertainty in these visual comparisons by quantifying tissue response to cryoablation and providing visualization of the response during the procedure. Based on retrospective analysis of MR-guided cryoablation patient data, registration and segmentation algorithms were investigated and implemented for periprocedural visualization to deliver iceball position/size with respect to planning images registered within 3.3mm with at least 70% overlap and a quantitative logit model was developed to relate perfusion deficit in renal parenchyma visualized in verification images as a result of iceball size visualized in monitoring images. Through retrospective study of 20 patient cases, the relationship between likelihood of perfusion loss in renal parenchyma and distance within iceball was quantified and iteratively fit to a logit curve. Using the parameters from the logit fit, the margin for 95% perfusion loss likelihood was found to be 4.28 mm within the iceball. The observed margin corresponds well with the clinically accepted margin of 3-5mm within the iceball. In order to display the iceball position and perfusion loss likelihood to the radiologist, algorithms were implemented to create a fast segmentation and registration module which executed in under 2 minutes, within the clinically-relevant 3 minute monitoring period. Using 16 patient cases, the average Hausdorff distance was reduced from 10.1mm to 3.21 mm with average DSC increased from 46.6% to 82.6% before and after registration.