Ochsner Medical Center

About: Ochsner Medical Center is a healthcare organization based out in New Orleans, Louisiana, United States. It is known for research contribution in the topics: Population & Medicine. The organization has 980 authors who have published 1159 publications receiving 49961 citations. The organization is also known as: Ochsner Hospital & Ochsner Foundation Hospital.

A real-world analysis of glycemic control among patients with type 2 diabetes treated with canagliflozin versus dapagliflozin

Abstract: Objective: This US retrospective cohort study compared the real-world effectiveness of canagliflozin 300 mg versus dapagliflozin 10 mg on HbA1c reduction in patients with type 2 diabetes mellitus (T2DM).Methods: Patients initiated on canagliflozin 300 mg or dapagliflozin 10 mg were identified from de-identified claims data in the Optum Clinformatics database (1 January 2014–30 September 2016). Propensity score matching was used to create balanced cohorts. The primary outcome was the proportion of patients with HbA1c 9.0% (HEDIS poor control), absolute change in HbA1c, and treatment patterns.Results: At 6 months post-index (intent-to-treat population), a significantly higher proportion of patients in the canagliflozin 300 mg versus dapagliflozin 10 mg cohort achieved HbA1c <8.0% (70.8% vs. 59.1%; OR [95% CI]: 1.60 [1.26, 2.04]; p = .0001) and HbA1c <7.0% (36.7% vs. 25.1%; OR [95% CI]: 1.7...

Stratification of Surgical Risk in DIEP Breast Reconstruction Based on Classification of Obesity.

Abstract: Background From both a medical and surgical perspective, obese breast cancer patients are considered to possess higher risk when undergoing autologous breast reconstruction relative to nonobese patients. However, few studies have evaluated the continuum of risk across the full range of obesity. This study sought to compare surgical risk between the three World Health Organization (WHO) classes of obesity in patients undergoing deep inferior epigastric perforator (DIEP) flap breast reconstruction. Methods A retrospective review of 219 obese patients receiving 306 individual DIEP flaps was performed. Subjects were stratified into WHO obesity classes I (body mass index [BMI]: 30–34), II (BMI: 35–39), and III (BMI: ≥ 40) and assessed for risk factors and postoperative donor and recipient site complications. Results When examined together, the rate of any complication between the three groups only trended toward significance (p = 0.07), and there were no significant differences among rates of specific individual complications. However, logistic regression analysis showed that class III obesity was an independent risk factor for both flap (odds ratio [OR]: 1.71, 95% confidence interval [CI]: 0.91–3.20, p = 0.03) and donor site (OR: 2.34, 95% CI: 1.09–5.05, p = 0.03) complications. Conclusion DIEP breast reconstruction in the obese patient is more complex for both the patient and the surgeon. Although not a contraindication to undergoing surgery, obese patients should be diligently counseled regarding potential complications and undergo preoperative optimization of health parameters. Morbidly obese (class III) patients should be approached with additional caution, and perhaps even delay major reconstruction until specific BMI goals are met.

Accurate diagnosis of colorectal cancer based on histopathology images using artificial intelligence.

Abstract: Accurate and robust pathological image analysis for colorectal cancer (CRC) diagnosis is time-consuming and knowledge-intensive, but is essential for CRC patients’ treatment. The current heavy workload of pathologists in clinics/hospitals may easily lead to unconscious misdiagnosis of CRC based on daily image analyses. Based on a state-of-the-art transfer-learned deep convolutional neural network in artificial intelligence (AI), we proposed a novel patch aggregation strategy for clinic CRC diagnosis using weakly labeled pathological whole-slide image (WSI) patches. This approach was trained and validated using an unprecedented and enormously large number of 170,099 patches, > 14,680 WSIs, from > 9631 subjects that covered diverse and representative clinical cases from multi-independent-sources across China, the USA, and Germany. Our innovative AI tool consistently and nearly perfectly agreed with (average Kappa statistic 0.896) and even often better than most of the experienced expert pathologists when tested in diagnosing CRC WSIs from multicenters. The average area under the receiver operating characteristics curve (AUC) of AI was greater than that of the pathologists (0.988 vs 0.970) and achieved the best performance among the application of other AI methods to CRC diagnosis. Our AI-generated heatmap highlights the image regions of cancer tissue/cells. This first-ever generalizable AI system can handle large amounts of WSIs consistently and robustly without potential bias due to fatigue commonly experienced by clinical pathologists. It will drastically alleviate the heavy clinical burden of daily pathology diagnosis and improve the treatment for CRC patients. This tool is generalizable to other cancer diagnosis based on image recognition.

Emerging Immunotargets in Bladder Cancer.

Abstract: Bladder cancer treatment, namely systemic therapy, was dominated in the last three decades due to the absence of newer therapeutic options other than chemotherapy regimens. Chemotherapy, by itself, both in first and second-line seems to have achieved the modest plateau of its possibilities at the cost of non-negligible toxicity. Targeted therapies, which changed the therapy of many different tumors, seem rather ineffective in bladder cancer. More recently, a new generation of Immunotherapy based regimens represent the most promising avenue for the future systemic treatment of bladder cancer. Checkpoint inhibition, namely PD1/PD-L1 pathway inhibition, showed impressive results in many other tumor types and are expected to become a major player in the treatment of bladder cancer. Other immunotherapy strategies such as fusion proteins represent distant, although promising, options. A brief overview of the current status of bladder cancer immunotherapy is presented.