We optimized a CRISPR/Cas-based assay coupled with RPA to identify BRAF V600E mutations in clinical samples. Then, we compared this assay with real-time PCR and Sanger sequencing. This assay has great potential as a thermocycler-independent, fast, and cost-effective mutation detection technique.

The mortality rate of study subjects was 60.9%. CRP-hs, NLR, and PNI were independent factors associated with 24-month mortality in patients with stage IV colorectal cancer (p < 0.05 to p < 0.01). At a cut-off value of 38.51, PNI was a predictor for mortality, with the area under the curve (AUC) of 0.88 and p < 0.001.

Heart failure is a common condition that imposes a significant burden on healthcare systems. We aimed to identify subgroups of patients with heart failure admitted to the ICU using routinely measured laboratory biomarkers. Laboratory data revealed two phenotypes of ICU-admitted patients with heart failure. The two phenotypes are of prognostic importance in term of mortality rate. They can be differentiated using blood cell count, kidney function status, and serum electrolytes concentrations.

The RCS regression analysis showed a positive linear association between the NPAR and all-cause and diabetes-cause mortality. High NPAR group had a significantly higher risk of all-cause and diabetes-cause mortality in univariate and multivariate analysis. Compared with low NPAR group, high NPAR group had a low survival rate of diabetes cases in all-cause death and diabetes-cause mortality with area under the curve of the 3-year, 5-year, and 10-year ROC curve being 0.725, 0.739, and 0.734 for all-cause mortality.