A clustering analysis based on clinical laboratory indications of patients with bunyavirus infection

Objective\r\nTo execute a hierarchical cluster of clinical laboratory indicators in patients with bunyavirus infection.\r\n\r\n\r\nMethods\r\nFrom July 2015 to July 2017, 14 patients with bunyavirus infection in Zhoushan Hospital were selected.The blood routine, coagulation function and biochemical indicators were detected.Cluster analysis and grouping were carried out by hierarchical clustering method.\r\n\r\n\r\nResults\r\nHierarchical clustering classification was eventually divided into 2 cases of A category[with TT high and BNP high as the main characteristics(TThighBNPhigh)] and 12 cases of B category[with TT low and BNP low as the main characteristics (TTlowBNPlow)]. The days of hormone drugs and dosage of hormone drugs in A category were (7.43±3.53)d, (489.19±173.02)mg, respectively, which were higher than those in B category[(5.20±1.03)d and (115.11±46.58)mg], the differences were statistically significant(t=2.76, 55.56, all P\u003c0.05).\r\n\r\n\r\nConclusion\r\nIt needs probably to pay more days and dose of hormonal drugs for patients with TThighBNPhigh.\r\n\r\n\r\nKey words: \r\nBunyaviridae infections; Cluster analysis; Laboratory techniques and procedures; Glucocorticoids; Gamma-globulins