CHEN Pei, GENG Hualei, JIANG Lan, et al. Study on Syndrome Prediction for Phlegm-heat and Fu-viscera Excess Pattern in Acute Ischemic Stroke Patients[J]. Journal of Traditional Chinese Medicine2018, 59(22): 1937-1942.
CHEN Pei, GENG Hualei, JIANG Lan, et al. Study on Syndrome Prediction for Phlegm-heat and Fu-viscera Excess Pattern in Acute Ischemic Stroke Patients[J]. Journal of Traditional Chinese Medicine2018, 59(22): 1937-1942.DOI: 10.13288/j.11-2166/r.2018.22.010.
Study on Syndrome Prediction for Phlegm-heat and Fu-viscera Excess Pattern in Acute Ischemic Stroke Patients
Objective To explore the clinical features of acute ischemic stroke patients with the syndrome of phlegm-heat and fu-viscera excess. Methods A total of 265 acute ischemic stroke patients were selected and divided into the phlegm-heat and fu-viscera excess syndrome group(117 cases) and the non-phlegm-heat and fu-viscera excess syndrome group(148 cases). Demographic data of 2 groups including gender
age
body mass index(BMI)
vital signs
time of onset
and current and past medical history were investigated
and disease diagnosis scores as well as National Institutes of Health Stroke Scale scores(NIHSS) were observed. The high-sensitivity C-reactive protein(hs-CRP)
interleukin-6(IL-6)
tumor necrosis factor(TNF)
total triiodothyronine(TT3)
total thyroxine(TT4)
free triiodo Thyrolysine(FT3)
free thyroxine(FT4)
thyroid stimulating hormone(TSH)
adrenocorticotropic hormone(ACTH)
cortisol(CORT)
plasma renin activity(PRA)
angiotensin Ⅱ(Ang Ⅱ)
aldosterone(ALD)
glycated hemoglobin(HbA1 c)
homocysteine(HCY)
lipoprotein a [LP(a) ]
neuron-specific enolase(NSE) were detected. The logistic regression analysis and gradient lifting decision tree(GBDT) algorithm methods were used for data mining. Results Compared with the non-phlegm-heat and fu-viscera excess syndrome group
patients in the phlegm-heat and fu-viscera excess syndrome group had higher level BMI
course of disease
systolic pressure
disease diagnosis scores
NIHSS scores and TT4
FT4
LP(a)(P < 0. 05
or P < 0. 01). As to laboratory indexes
the FT3
ACTH
CORT and NSE scores were lower(P < 0. 05
or P < 0. 01) than those of the non-phlegmheat and fu-viscera excess syndrome group. Logistic regression analysis showed that the partial regression coefficients of NIHSS
FT3 and CORT and syndrome of phlegm-heat and fu-viscera excess were statistically significant(P < 0. 05 or P < 0. 01). The GBDT results showed that CORT
BMI
FT3
and ACTH were important features of phlegm-heat and fu-viscera excess pattern. Conclusion In patients with acute ischemic stroke
the higher the NIHSS score is
the lower the FT3 and CORT levels are
and the more likely that the syndrome of phlegm-heat and fu-viscera excess will onset.
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