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Time to progression (TTP) to MM or amyloidosis was the primary end point and was defined as the time elapsed between diagnosis of SMM and when the patient experienced progressive disease. All patients who did not progress at the time of last follow-up were censored in the TTP analysis. A secondary objective was to create a risk scoring tool that would allow individualized estimate of risk at various time points from diagnosis.

A risk score was developed to elucidate the potential strength of individual relationships between each of the previously defined variables based on the method described by Sullivan et al.17. Variables were categorized based on clinically relevant as well as spline functions to establish the general trends in the risk of progression with increasing laboratory values. Scores for each risk factor were assigned relative weights of each coefficient in the multivariable regression model. Predicted risk of progression were summarized based on this scoring tool. Analyses were conducted in SAS version 9.4 (The SAS Institute, Cary, NC) and R Core Team (2018).

Over the past few decades, several predictive tools (otherwise called nomograms) have included the PSA in their parameters to predict posttreatment outcomes. These nomograms include the Partin and Kattan nomograms from Memorial Sloan Kettering. For instance, the Kattan nomogram is an online predictive tool that is available to the public ( ).

HP provides the DMIFIT and WNDMIFIT tools for re-flashing the DMI region:This application use to Update Hp Laptop and Desktop Machine Information like Serial number, SKU (Product Number), CT number , UUID and Build Version etc.

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