目的 探討血小板參數(shù)與腦梗死、腦梗死CISS分型的相關(guān)性。方法 選擇天津市北辰醫(yī)院神經(jīng)內(nèi)科2018年1月至2019年6月住院治療的腦梗死住院患者200例作為腦梗死組，選擇同期在醫(yī)院進(jìn)行體格檢查的健康者200例作為對(duì)照組，測(cè)量血小板參數(shù)，將腦梗死患者進(jìn)行CISS分型，并進(jìn)行血小板參數(shù)與腦梗死、腦梗死CISS分型的相關(guān)性分析。結(jié)果 與對(duì)照組相比，腦梗死組血小板計(jì)數(shù)（PLT）、血小板體積分布寬度（PDW）、血小板壓積（PCT）數(shù)值較高，但差異無(wú)統(tǒng)計(jì)學(xué)意義。腦梗死患者大型血小板比例（P-LCR）、大血小板數(shù)目（P-LCC）數(shù)值較高于對(duì)照組，差異具有統(tǒng)計(jì)學(xué)意義（P<0.05）；平均血小板體積（MPV）高于對(duì)照組，但差異無(wú)統(tǒng)計(jì)學(xué)意義。病例中大動(dòng)脈粥樣硬化（LAA）116例、心源性卒中（CS）28例、穿支動(dòng)脈疾?。≒AD）56例。PLT、PDW、MPV與CISS分型呈正相關(guān)，并且PDW、MPV的相關(guān)性顯著。PCT、P-LCR、P-LCC與CISS分型呈負(fù)相關(guān)，相關(guān)性不顯著。P-LCR、P-LCC需要綜合更多的臨床和患者因素來(lái)考慮。結(jié)論 血小板參數(shù)作為一種簡(jiǎn)單的、臨床易獲得的血栓形成的血液標(biāo)記物，具有廣泛的應(yīng)用前景，可初步作為腦梗死病情預(yù)估和預(yù)后判斷的重要指標(biāo)。

Objective To investigate the correlation between platelet parameters and CISS classification of ischemic stroke and ischemic stroke. Methods A total of 200 inpatients with ischemic stroke and 200 healthy volunteers (as control) in Department of Neurology, Tianjin Beichen Hospital from January 2018 to June 2019 were selected. Platelet parameters were measured, patients with cerebral infarction were classified into CISS classification, and the correlation between platelet parameters and cerebral infarction and CISS classification of cerebral infarction were analyzed. Results Compared with the control group, the platelet count (PLT), platelet volume distribution width (PDW), and platelet packed volume (PCT) in the cerebral infarction group were higher, but the difference was not statistically significant. The proportion of large platelets (P-LCR) and the number of large platelets (P-LCC) in patients with cerebral infarction were higher than those in the control group, and the difference was statistically significant (P<0.05). MPV was higher than the control group, but the difference was not statistically significant. Among the patients, 116 cases were large atherosclerosis (LAA), 28 cases were cardiac stroke (CS), and 56 cases were perforator artery disease (PAD). PLT, PDW, and MPV were positively correlated with CISS classification, and the correlation between PDW and MPV was significant. PCT, P-LCR, P-LCC, and CISS classification were negatively correlated, and the correlation was not significant. P-LCR and P-LCC needed to consider more clinical use and patient. Conclusion As a simple, clinically accessible blood marker for thrombosis, platelet parameters have broad application prospects, and can be used as an important indicator for the estimation of cerebral infarction and the prognosis.

R971

天津市北辰區(qū)科技發(fā)展計(jì)劃項(xiàng)目（2018-SHGY-138）