Background: Multiple variables interact constantly to maintain the hemodynamic statusof patients. The shock index (SI), the modified shock index (MSI), and the age shock index(ASI) have been studied in different clinical settings to predict hemodynamic instability andassociated outcomes. These indices are calculated from simple hemodynamic parameters,are non-invasive, and represent no additional expense. We wanted to analyze the performanceof these three different indices in the patients admitted to our hospital.Methods: We performed a retrospective study in which we identified all adult patients(>18 years, <89 years) admitted to the University Medical Center in Lubbock, Texas, from10/01/2015 until 9/30/2016. We collected basic clinical information, including age, initialblood pressure measurements, discharge diagnoses, length of stay (LOS), and mortality.With these variables we calculated for each patient the admission SI (defined as heart rate/systolic blood pressure), MSI (heart rate/mean arterial pressure), and ASI (age × SI). Weseparated the patients according to their admission diagnoses and calculated the median and25th–75th percentiles for those parameters. We also compared mortality and LOS based ontheir admission SI using two different cutoff points at 0.7 and 1.0, their admission MSI (cutoff:1.3), and their ASI (cutoff: 50).Results: A total of 18,478 adult patients admitted to our institution were included in thisstudy. The median age was 53 years, the median LOS was 4 days, and the overall mortalitywas 3.8%. The median SI was 0.67; 43.3% of patients had an SI > 0.7 and 8.11% had anSI > 1.0. The median SI calculated for the patients with sepsis was 0.88; this was higher than therest of admission diagnoses (p < 0.001). The mortality of the patients with an SI > 0.7 was 5.1%and with SI > 1.0 was 11.3% (p < 0.001). When comparing the MSI, those with an MSI > 1.3 hada mortality of 10.3%, and those with an ASI > 50 had a mortality of 10.0% (p < 0.001).Conclusions: The SI, MSI, and ASI are non-invasive calculations that may provide usefulinformation when triaging patients early during admission. The diagnosis of sepsis results in ahigher median SI, which may represent better prediction in outcomes compared with the restof admission diagnoses. In our study, the three indexes performed equally. Since the SI witha cut-off of 1.0 identified patients with higher mortality risk, we would recommend using thiscut-off instead of 0.7.