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Discussion on Homogenization of Emergency Clinical Decision 被引量:2
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作者 huijun qi Zhangshun Shen +1 位作者 Hui Guo Jianguo Li 《Open Journal of Internal Medicine》 2020年第3期302-310,共9页
The objective of this work is to explore how to realize the homogenization of emergency clinical decision, and it means that patients receive the same effect of clinical decisions and the treatment in a different hosp... The objective of this work is to explore how to realize the homogenization of emergency clinical decision, and it means that patients receive the same effect of clinical decisions and the treatment in a different hospital. In order to achieve that, emergency doctors should first have the same clinical thinking and thinking mode which is the biggest challenge for homogenization of emergency clinical decision. The task of emergency medicine is to give priority to the treatment of critically ill patients, so step-down thinking of “excluding life-threatening symptoms first” is the basis, the preemptive thinking is the means, and Process thinking is the key of homogenization;The initial diagnosis and treatment mode of symptom-oriented is the starting point for emergency decision;establishing a unified “checklist” can not only broaden the lateral thinking of emergency doctors, but also unify the thinking of differential diagnosis of emergency;dynamic observation should run through the whole diagnosis and treatment process, which is necessary for the homogenization of emergency decision. 展开更多
关键词 Clinical Decision Medical Homogeneity Step Down Thinking Preemptive Examination Process Thinking CHECKLIST
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The Prediction Value of the Infection Probability Score (IPS) Combined with Serum Cholinesterase and D-Dimer Detection for Infection and Survival in Critically Ill Patients
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作者 qian Zhao huijun qi +2 位作者 Hui Guo Zhangshun Shen Jianguo Li 《Case Reports in Clinical Medicine》 2020年第8期228-235,共8页
<strong>Objective:</strong> To evaluate early prediction value of IPS<span> </span><span><span style="font-family:Verdana;">combined with SchE and D-dimer detection for in... <strong>Objective:</strong> To evaluate early prediction value of IPS<span> </span><span><span style="font-family:Verdana;">combined with SchE and D-dimer detection for infection and survival in critically ill patients. </span><b><span style="font-family:Verdana;">Methods:</span></b></span><b><span> </span></b><span style="font-family:Verdana;">199 critically ill patients admitted to the emergency intensive care unit (EICU) of our hospital from December 2018 to December 2019 were retrospectively analyzed, including 110 infection patients (infection group) and 89 non-infection</span><span> </span><span style="font-family:Verdana;">patients (non-infection group).</span><span> </span><span><span style="font-family:Verdana;">According to the survival, the infection group was divided into death group (68 cases) and survival group (42 cases). The IPS, APACHE II, SOFA and SchE, D-dimer expression levels were detected and compared;Univariate and logistic regression analysis were used to evaluate the independent prognostic factors. </span><b><span style="font-family:Verdana;">Results: </span></b><span style="font-family:Verdana;">The IPS and APACHE II of patients in the infected group were higher than those in the non-infected group, the level of SchE was lower than that in the non-infected group, and the level of D-dimer was higher than that in the non-infected group (</span><i><span style="font-family:Verdana;">P</span></i></span><i><span> </span></i><span style="font-family:Verdana;"><</span><span> </span><span style="font-family:Verdana;">0.001). IPS, SOFA, APACHE</span><span style="font-family:Verdana;"> II</span><span style="font-family:Verdana;">, SchE, D-dimer, invasive mechanical ventilation, septic shock, and ICU length</span><span style="font-family:Verdana;"> of stay had significant influence on the prognosis of critically ill patients</span><span> </span><span><span style="font-family:Verdana;">(</span><i><span style="font-family:Verdana;">P</span></i></span><i><span> </span></i><span style="font-family:Verdana;"><</span><span> </span><span><span style="font-family:Verdana;">0.001). Logistic regression analysis showed that IPS (</span><i><span style="font-family:Verdana;">OR</span></i><span style="font-family:Verdana;"> = 2.821, </span><span><span style="font-family:Verdana;">95%</span><i><span style="font-family:Verdana;"> CI</span></i></span><span style="font-family:Verdana;"> 1.501</span></span><span style="font-family:Verdana;"> - </span><span><span style="font-family:Verdana;">5.227), SOFA (</span><i><span style="font-family:Verdana;">OR</span></i><span style="font-family:Verdana;"> = 5.078, </span><span><span style="font-family:Verdana;">95% </span><i><span style="font-family:Verdana;">CI</span></i></span><span style="font-family:Verdana;"> 3.327 </span></span><span style="font-family:Verdana;">-</span><span><span style="font-family:Verdana;"> 7.690), APACHE II (</span><i><span style="font-family:Verdana;">OR</span></i><span style="font-family:Verdana;"> = 14.308, </span><span><span style="font-family:Verdana;">95% </span><i><span style="font-family:Verdana;">CI</span></i></span><span style="font-family:Verdana;"> 8.901 </span></span><span style="font-family:Verdana;">-</span><span><span style="font-family:Verdana;"> 21.893), SchE (</span><i><span style="font-family:Verdana;">OR</span></i><span style="font-family:Verdana;"> = 0.223, </span><span><span style="font-family:Verdana;">95%</span><i><span style="font-family:Verdana;"> CI</span></i></span><span style="font-family:Verdana;"> 0.165 </span></span><span style="font-family:Verdana;">-</span><span style="font-family:Verdana;"> 0.291), D-dimer</span><span style="font-family:Verdana;"> (</span><i><span style="font-family:Verdana;">OR</span></i><i><span> </span></i><span style="font-family:Verdana;">=</span><span> </span><span style="font-family:Verdana;">2.10</span><span style="font-family:Verdana;">, </span><span style="font-family:Verdana;">95%</span><i><span> </span></i><i><span style="font-family:Verdana;">CI</span></i><i><span> </span></i><span style="font-family:Verdana;">1.55</span><span style="font-family:Verdana;"> - </span><span style="font-family:Verdana;">2.85</span><span style="font-family:Verdana;">)</span><span><span style="font-family:Verdana;">, septic shock (</span><i><span style="font-family:Verdana;">OR</span></i><span style="font-family:Verdana;"> = 9.948,</span></span><span> </span><span style="font-family:Verdana;">95%</span><span> </span><i><span style="font-family:Verdana;">CI</span></i><span style="font-family:Verdana;"> 7.012</span><span style="font-family:Verdana;"> - </span><span style="font-family:Verdana;">17.012)</span><span> </span><span style="font-family:Verdana;">were independent factors affecting the prognosis of critically ill patients with infection</span><span style="font-family:Verdana;"> (</span><i><span style="font-family:Verdana;">P</span></i><span> </span><span style="font-family:Verdana;"><</span><span> </span><span style="font-family:Verdana;">0.001</span><span style="font-family:Verdana;">)</span><span style="font-family:Verdana;">.</span><span> </span><b><span style="font-family:Verdana;">Conclusion:</span></b><b><span> </span></b><span style="font-family:Verdana;">IPS and D-dimer expression level in infected patients were increased and SchE decreased significantly compared with those in non-infected patients, and they significantly correlated with</span><span> </span><span style="font-family:Verdana;">disease severity of infected</span><span> </span><span style="font-family:Verdana;">patients</span><span> </span><span style="font-family:Verdana;">and could be early prediction</span><span> </span><span style="font-family:Verdana;">for prognosis.</span> 展开更多
关键词 Critical Illness INFECTION Infection Probability Score (IPS) CHOLINESTERASE D-DIMER Survival Prognosis
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