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find Author "LUO Changbin" 2 results
  • A Clinical Analysis of Nonorganic Dyspnea in Emergency Department

    【摘要】 目的 总结非器质性呼吸困难患者的急诊诊治经验,提高急诊医生对心理-生理性疾病的认识。 方法 对2005年-2009年急诊科32例非器质性呼吸困难患者的诊治经过进行回顾性分析。 结果 32例患者发病前均有精神创伤或过度劳累、精神紧张、或应急等心因性诱因;有典型的临床症状;过度通气激发试验阳性;血气分析提示呼吸性碱中毒;Nijmegen问卷积分≤23分者18例(56.2%);辅助检查未见其他原发性疾病。 结论 随着现代社会身心压力的增大,非器质性呼吸困难患者明显增加,临床医生应加强对社会心理-生理性疾病的认识,提高诊断率,对减轻患者的精神压力及避免过度医疗具有重要的临床意义。【Abstract】 Objective To summarize the medical experiences of treating nonorganic dyspnea in the emergency department and raise physicians’ awareness of psychological-physiological diseases. Methods The clinical data of 32 patients with nonorganic dyspnea between 2005 and 2009 in the emergency department of our hospital were analyzed retrospectively. Results All the 32 patients had psychogenic incentives before onset of the disease, such as mental injury, over-exhaustion, nervousness or emergency. All of them had typical clinical manifestations. The results of hyperventilation provocation test were positive. Arterial blood gas analysis implied respiratory alkalosis. Eighteen of them (56.2%) had a mark ≤23 on the Nijmegen questionnaire. Auxiliary examinations showed no other primary diseases. Conclusions With the increase of emotional stress in the modern society, the number of patients with nonorganic dyspnea have markedly increased. Clinicians should strengthen the awareness of social psychology-physiological diseases, and improve diagnostic accuracy, which will have an obvious clinical value in relieving patients’ mental stress and avoiding excessive medical treatment.

    Release date:2016-09-08 09:27 Export PDF Favorites Scan
  • Clinical value of Composite Congestion Score in predicting adverse events in patients with acute heart failure in emergency intensive care unit within 180 days

    Objective To explore the predictive value of Composite Congestion Score (CCS) in predicting adverse events within 180 days in patients with acute heart failure (AHF) in emergency intensive care unit (EICU). Methods The patients with AHF who were admitted to EICU of Zigong Fourth People’s Hospital between January 1, 2018 and December 31, 2020 were included consecutively. The patients were followed up for 180 days, and were divided into poor prognosis group and good prognosis group according to whether there were adverse events. Logistic regression equation was used to screen independent risk factors for predicting adverse events in patients with AHF within 180 days after leaving EICU. To compare the discrimination, calibration and clinical usefulness of independent risk factors at EICU discharge and the Acute Physiology and Chronic Health Assessment SystemⅡ (APACHEⅡ) score at EICU admission to predict the occurrence of adverse events of AHF. Results A total of 71 patients were included, including 32 patients with good prognosis and 39 patients with poor prognosis. Except for age, APACHEⅡscore at EICU admission and CCS score at EICU discharge (P<0.05), there was no significant difference in other indicators between the two groups (P>0.05). Logistic regression analysis showed that CCS score at EICU discharge [odds ratio (OR)=2.806, 95% confidence interval (CI) (1.428, 5.512), P=0.003], age [OR=1.086, 95%CI (1.017, 1.159), P=0.013] were independent risk factors for predicting death or returning to hospital within 180 days. Among them, the CCS score at EICU discharge combining with age had a positive improvement ability compared with the CCS score at EICU discharge, the age, and the APACHE Ⅱ score at EICU admission. The calibration curves of the four scoring methods for predicting adverse events within 180 days showed that the CCS score at EICU discharge had the highest calibration and the calibration of age was the lowest. The decision curve showed that the clinical usefulness of age, the CCS score at EICU discharge and the CCS score at EICU discharge combining with age was better than the APACHE Ⅱ score at EICU admission. Conclusions The CCS score of patients with AHF at EICU discharge is closely related to adverse events within 180 days. The CCS score is designed based on clinical variables, simple and practical. The combination of age and the CCS score at EICU discharge will further enhance its clinical application value.

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