A Preliminary Risk Comparison between Glaucoma and Diabetic Retinopathy and their Relationships with Three Metabolism Biomarkers using Viscoplastic Energy Model of GH-Method: Math-Physical Medicine (No. 1077, VMT #474)
Abstract:
This study highlights three main findings: 1. An examination of the time-domain curves for his GLC risk and DR risk between 2015 and 2024 shows that these two curves have similar waveforms (moderately high correlation of 58%). However, the gap between GLC risk curve and DR risk curve is expanding over time due to both ethnicity and aging. The final risk curves are resulted from adding 1% of Asian ethnicity weight and another 1% of aging weight each each progressing year. These two risk assumptions resulted in an GLC average risk of 60% and a DR average risk of 54%. 2. Since the author had DR during the period between 2015 and 2021 and was just diagnosed with GLC in mid-2024 (his last GLC test was in 2022 with a negative result), in SD-VMT energy calculations, he must sum up the earlier 7-years sub-energies between 2015 and 2021 for his DR risk and the recent 2.5-years sub-energies between 2022 and 2024 for his GLC risk. The end results are a sub-total GLC energy of 26 and a sub-total DR energy of 43. The energy ratio is 1.65 or 165% (43 divided by 26), which means his 7-year DR influence on him is 165% higher than his 3-year GLC influence. 3. His SD-VMT energy ratios among m2 (glucose), m3 (blood pressure), and m4 (cholesterol) are very similar to each other: 36%-37% from m2, 35% from m3, and 27%-29% from m4. This finding shows that his glucose and blood pressure had a higher influence on his eye diseases, while cholesterol had a lower influence on his eyes.
