The invention provides an early-stage automatic identification method and
system for
acute kidney injury related to
cardiac surgery, and relates to the technical field of physiological parameter detection. The method comprises the following steps: acquiring average arterial pressure, cardiac blood
discharge volume,
central venous pressure and blood
oxygen saturation, regularly recording and extracting data of adjacent time points, calculating a variation range, screening a
mutation region, judging whether a
reference range is exceeded or not, analyzing a multi-parameter synchronous variation condition, and marking a
hemodynamics abnormal state. According to the method, abnormal changes of
hemodynamics and
urine metabolism are accurately recognized through real-time monitoring and multi-
parameter analysis, the
urine flow rate and the
metabolite excretion rate are combined, misjudgment of a single index is avoided, the
fineness of
renal function change analysis is improved, the high-risk time period is accurately positioned through time cross comparison, the diagnosis accuracy is improved, and the diagnosis accuracy is improved.
Trend analysis and risk grade division enable the change of the illness state to be more visual, and a real-time
early warning system effectively monitors the fluctuation trend, optimizes clinical management and improves the timeliness of medical response.