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Background: Non-ST-elevation myocardial infarction (NSTEMI), a disease of mounting interest, continues to pose challenges and cast shadows of doubt on determining the optimal timing for revascularization. The current guidelines on NSTEMI recommend coronary angiography based on the GRACE score, emphasizing the critical need for early invasive assessment (within 24 h); very-high-risk patients have to undergo this intervention even sooner, within 2 h. We believe that a reality check of these assumptions is needed and that we should endeavor to update these strategies using new predictive markers. Materials and methods: Our study included patients hospitalized for NSTEMI over the course of 16 months. Simple blood parameters, namely MCV (mean corpuscular volume), MPV (mean platelet volume), RDW (red blood cell distribution width), and PDW (platelet distribution width), were analyzed in correlation with the extent of the myocardial infarction area and with complications during hospitalization and at 30-day follow-up. Results: The parameters mentioned above have been identified as statistically relevant indicators of prognosis in patients with NSTEMI. Conclusions: In the present day, living in the world of the blue sky concept allows us to search for new diagnostic algorithms. Therefore, the combination of these parameters can constitute the DNA strands of a new and up-to-date score stratification.

(1) Background: Despite advancements in medical research and discoveries, heart failure (HF) still represents a significant and prevalent public health challenge. It is characterized by persistently high mortality and morbidity rates, along with increased rates of readmissions, particularly among the elderly population. (2) Methods: This study was conducted retrospectively on 260 patients with stable or decompensated chronic HF. The parameter of interest in the study population was the mean platelet volume (MPV), and the main objective of the research was to identify a possible relationship between MPV and several variables—biological (NT-proBNP, presepsin, red cell distribution width (RDW)), electrocardiographic (atrial fibrillation (AFib) rhythm, sinus rhythm (SR)), and echocardiographic (left ventricle ejection fraction (LVEF), left atrial (LA) diameter, left ventricle (LV) diameter, pulmonary hypertension (PH)). (3) Results: By applying logistic and linear regression models, we assessed whether there is a correlation between MPV and biological, electrocardiographic, and echocardiographic variables in patients with HF. The results revealed linear relationships between MPV and NT pro-BNP values and between MPV and RDW values, and an increased probability for the patients to have an AFib rhythm, reduced LVEF, dilated LA, dilated LV, and PH as their MPV value increases. The results were deemed statistically relevant based on a p-value below 0.05. (4) Conclusions: Through regression model analyses, our research revealed that certain negative variables in HF patients such as increased levels of NT-proBNP, increased levels of RDW, AFib rhythm, reduced LVEF, dilated LA, dilated LV, and PH, could be predicted based on MPV values.