Method for constructing thrombolytic dose model

Abstract

The invention provides a thrombolytic dosage model building method. The method comprises the following steps of (1): combining an existing medical database; (2): performing subgroup analysis on the medical database; (3): creating a segmented model based on the subgroup analysis; (4): based on NIHSS, allocating a patient, and correspondingly determining three subgroups by an influence of interaction between a t-PA dosage and the subgroups on a hemorrhage risk; and (5): analyzing the three subgroups to obtain an effect between a high dosage and a low dosage. The patient suffering from ischemic stroke is subjected to subgroup analysis by using a data analysis method of an interactive tree, to know whether the patient using the high dosage is more likely to bleed (such as, the hemorrhage risk) (use of ''high dosage'' and ''low dosage'' t-PA during initial treatment) or not, so as to discover similar treatment effects of the low-dosage t-PA and the high-dosage t-PA (such as, stay time and a final treatment effect of treatment).

Description

technical field [0001] The invention relates to the medical field, in particular to a method for constructing a thrombolytic dose model. Background technique [0002] Most stroke studies have been conducted in North America (where stroke is the fifth leading killer) or Europe, with relatively small sample sizes. In contrast, our background is in China. Due to unique genetic, diet, exercise and environmental factors, stroke has become the biggest killer in China. Internal and external air pollution is a significant contributor to the increase in stroke events in China. Along with massive increases in wealth, the Chinese have also undergone dramatic dietary changes, leading to alarming increases in high blood pressure and type 2 diabetes. [0003] These issues are especially important for stroke care in China, because when people leave their hometowns and seek a hospital farther away, the stroke treatment window may be too short. Additionally, more than 60% of health care ...

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Problems solved by technology

Oddly, according to a study published in the same journal, 63% of the patients were Asian, no conclusion was drawn that lower doses were worse, but the journal supported the argument that higher doses were better (Anderson et al., 2016)

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