Mortality rates of critically ill patients with dialysis-requiring acute kidney injury(AKI-D), sepsis and septic shock are high. The purpose of this study was to develop an RRT database, analyze the mortality rate of sepsis, and identify risk factors associated with sepsis.

We retrospectively identified 122 patients, who underwent total sepsis, using the RRT data from January 1, 2014 to December 31, 2017.The primary end-point was in-hospital mortality. A p-value < 0.05 was considered statistically significant.

Among 2830 patients admitted to participating ICUs between January 1, 2014 and December 31, 2017 122 (4.3%) patients presented inclusion criteria for dialysis-requiring sepsis and septic shock and were included. The median[IQR] age of septic shock ranged from 72[64-80] years. The chi-square test showed no significant difference in In-hospital mortality between sepsis and septic shock (79% vs. 62%, p=0.36). Approximately 42% received IHD without anticoagulation. IHD was using without anticoagulation therapy using ethylene vinyl alcohol(EVAL) membrane. CRRT used unfractionated heparin therapy using polysulfone (PS) membrane.

There was no significant difference in the mortality rate of sepsis and septic shock who underwent RRT in intensive care. IHD could be safely managed without circuit anticoagulation. However, CRRT used heparin therapy.

The utility rate medical equipment is an essential parameter for deciding the number of clinical units required for central control. But some articles in the past have defined optimum utility rates as 70%, give or take, obviously lower than actual figures from the clinical sites. Therefore, those figures failed to represent the reality of clinical fields well known for shortages of medical equipment. The discrepancies are caused by an underestimated influence of low utility rates of medical equipment in off-season.

This time, the authors have discovered that it is possible to quantify the shortages of equipment correctly by calculating hourly utility rates. In addition, the authors have succeeded in establishing the hourly utility rate as a parameter for deciding the optimum number of units with an observation of the way the hourly utility rates may shift over the passage of time.

The authors hope that a new kind of medical equipment control software will become available sometime in the future so that the utility rate is displayed on an hourly basis in the form of a graph.