互联网视域下急性呼吸道感染预后影响因素的研究

Study on Prognostic Influnce Factors of Acute Respiratory Tract Infection from Internet Perspective

目的 探究互联网视域下急性呼吸道感染预后影响因素的。方法 选择2019年3月—2021年8月医院收治的100例流行性感冒患者为研究对象,通过互联网问卷进行调查。调查后根据患者预后情况将其分为预后不良组和预后良好组,对比两组患者在互联网问卷上相关指标的差异,并通过单因素和多因素分析确定互联网视域下流行性感冒预后影响因素。结果 两组患者性别、高血压、糖尿病、呼吸系统疾病、发热程度比较,差异无统计学意义(P>0.05),两组患者年龄、心血管疾病、呼吸困难、肥胖和急型生理学与慢性健康状况评分Ⅱ(acute physiology and chronic health evaluation scoreⅡ,APACHEⅡ)比较,差异有统计学意义(P<0.05),具体表现为预后良好组年龄65岁以上者、合并心血管疾病者、肥胖人数和呼吸困难人数以及APACHEⅡ评分>20分者均明显低于预后不良组,差异有统计学意义(P<0.05),预后良好组降钙素原(procalcitonin,PCT)、中性粒细胞计数(neutrophil count,NEUT)、明显低于预后不良组,淋巴细胞计数(lymphocyte count,LY)、氧合指数明显高于预后不良组,差异均有统计学意义(P<0.05),预后良好组C反应蛋白(C-reactive protein,CRP)、纤维蛋白原(fibrinogen,Fib)、白介素-6(interleukin-6,IL-6)、白细胞计数(white blood cell count,WBC)、乳酸脱氢酶(lactic dehydrogenase,LDH)低于预后不良组,但差异无统计学意义(P>0.05),将上述分析中存在统计学意义的因素纳入Cox多因素回归分析,以LR法逐级筛选变量,研究结果表示年龄、肥胖、APACHEⅡ评分、NEUT、氧合指数是互联网视域下流行性感冒预后不良的独立危险因素(P<0.05)。结论 高龄、肥胖、NEUT百分比高、氧合指数低是互联网问卷调查下流行性感冒预后不良的独立危险因素,针对上述因素行针对性预防,可能避免流行性感冒预后不良的可能性。

Objective To explore the prognostic Influnce factors of acute respiratory tract infection(ARI) from the perspective of Internet.Methods A total of 100 cases of influenza patients admitted to the hospital from March 2019 to August 2021 were selected as the research subjects.After the investigation,the patients were divided into poor prognosis group and good prognosis group according to their prognosis.The differences of relevant indicators in the Internet questionnaire between the two groups were compared,and the factors influencing the prognosis of influenza in the Internet perspective were determined by univariate and multivariate analysis.Results There were no statistically significant differences in gender,hypertension,diabetes,respiratory disease and fever degree between the two groups(P>0.05),while there were statistically significant differences in age,cardiovascular disease,dyspnea,obesity and acute physiology and chronic health evaluation score Ⅱ(APACHE Ⅱ) score between the two groups(P<0.05).Specifically,the patients over 65 years old,patients complicated with cardiovascular disease,the number of obesity,dyspnea and APACHE Ⅱ score>20 in the good prognosis group were significantly lower than those in the poor prognosis group,and the differences were statistically significant(P<0.05).The procalcitonin(PCT),neutrophil count(NEUT) were significantly lower than that of the poor prognosis group,and the lymphocyte count(LY) and oxygenation index were significantly higher than those of the poor prognosis group(P<0.05).C-reactive protein(CRP),fibrinogen(Fib),interleukin-6,(IL-6),white blood cell count(WBC),lactic dehydrogenase(LDH) in the good prognosis group were lower than those in the poor prognosis group,but the difference was not significant(P>0.05).The factors with statistical significance in the above analysis were included in Cox multivariate regression analysis,and the variables were screened by LR method step by step.The results showed that age,obesity,APACHE Ⅱ,NEUT and oxygenation index were independent risk factors for poor prognosis of influenza from Internet perspective(P<0.05).Conclusion Old age,obesity,high percentage of NEUT and low oxygenation index are independent risk factors for poor prognosis of influenza in Internet questionnaire survey.Targeted prevention of these factors may avoid the possibility of poor prognosis of influenza.