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Background: Contrast induced nephropathy (CIN) is associated with significant morbidity and mortality after percutaneous coronary intervention (PCI). The aim of this study is to evaluate the collective probability of CIN in Indian population by developing a scoring system of several identified risk factors in patients undergoing PCI. Methods: This is a prospective single center study of 1200 consecutive patients who underwent PCI from 2008 to 2011. Patients were randomized in 3:1 ratio into development (n = 900) and validation (n = 300) groups. CIN was defined as an increase of ≥25% and/or ≥0.5 mg/dl in serum creatinine at 48 hours after PCI when compared to baseline value. Seven independent predictors of CIN were identified using logistic regression analysis - amount of contrast, diabetes with microangiopathy, hypotension, peripheral vascular disease, albuminuria, glomerular filtration rate (GFR) and anemia. A formula was then developed to identify the probability of CIN using the logistic regression equation. Results: The mean (±SD) age was 57.3 (±10.2) years. 83.6% were males. The total incidence of CIN was 9.7% in the development group. The total risk of renal replacement therapy in the study group is 1.1%. Mortality is 0.5%. The risk scoring model correlated well in the validation group (incidence of CIN was 8.7%, sensitivity 92.3%, specificity 82.1%, c statistic 0.95). Conclusion: A simple risk scoring equation can be employed to predict the probability of CIN following PCI, applying it to each individual. More vigilant preventive measures can be applied to the high risk candidates.

This paper summarizes the efforts carried out over the last three years for the prediction of high-speed sealift (HSSL) ships. Semi-planing monohulls, catamarans, trimarans, and small waterplane area twin hull (SWATH) concepts are some of the hull forms that were considered. Propulsor options for these configurations varied from traditional propellers mounted on shafts and struts to waterjet propulsion systems. Computational tools are needed to predict the hydrodynamics of these multihull configurations for their proper design and analysis in many areas including resistance and powering, maneuvering and seakeeping. The focus of the present effort is to use an Unsteady Reynolds averaged Navier-Stokes (URANS) solver, CFDShip-Iowa, to predict the flow fields. Many of these predictions are very computationally intensive and thus require high performance computing resources. This paper will discuss the progress made in the overall effort along with some of the validations performed.

High Speed Sea Lift (HSSL) is an important area of interest for the US Navy. Computational tools are needed to predict the hydrodynamics of these multihull configurations for their proper design and analysis in many areas including resistance and powering, motions and habitability, loads in service and maneuverability. To address these issues requires a hierarchy of computational and experimental capabilities. Described here are efforts underway to use Unsteady Reynolds Averaged Navier-Stokes (URANS) solvers to answer some of these needs. Specifically, computations are demonstrated with CFDSHIP-Iowa to predict relevant HSSL catamaran and trimaran configurations under a variety of operating conditions in both calm water and with waves. Many of these predictions, particularly those representing behavior in various sea states, are very computationally intensive and thus require high performance computing resources. The predictions demonstrated here are paving the way for a computational capability to aid in the design for a new generation of naval ships.