C groups and coincidence with pathological changes.After treatment fourth and twelfth weeks,ALP activity,calcium content was higher in group A than group B (?

Objective To investigate the epidemiology and features of severe poisoning.Methods A retrospective analysis of patients with severe poisoning admitted into the emergency intensive care unit of Peking Union Medical College Hospital from February 2008 to March 2010 was made.Results A total of 138 patients consisting of 45 males and 93 females were enrolled.The average age was 39.2 years.Committed suicide with toxic agents was the major cause of poisoning (76.8％ ),followed by alcoholism (8.7％ ) and misuse of medicine (5.8％).Of them,96.4％ patients were poisoned by swallowing poison agents,and 45.7％ patients were treated with gastric lavage and 15.2％ of patients with hemofiltration.Mortality was 3.62％.Conclusions Our study presents the current status of acute severe poisoning in the large general hospital.

Objective:To study the influence of time-dependent acute physiology and chronic health evaluation Ⅱ (APACHE Ⅱ) score on 14-day death risk in patients with severe stroke, and to provide reference for clinical diagnosis and treatment.Methods:Data of 3 229 patients with severe stroke were enrolled from Medical Information Mart for Intensive Care-Ⅲ (MIMIC-Ⅲ). According to the main types of stroke, the patients were divided into subarachnoid hemorrhage (SAH), intracerebral hemorrhage (ICH), ischemic stroke (IS) and other groups. According to age, patients were divided into > 60 years old and ≤ 60 years old subgroups. According to the baseline of sequential organ failure assessment (SOFA) score, they were divided into subgroups of > 3 and ≤ 3. The daily measured values of APACHE Ⅱ scores in each patient were recorded. And all-cause death within 14 days after admission to intensive care unit (ICU) was used as the outcome index to obtain the survival status and survival time of patients. Joint models for longitudinal and time-to-event data were established to evaluate the effect of APACHE Ⅱ score measured at multiple time points on the death risk of patients, and a subgroup analysis was performed.Results:Among the joint models, the one which include APACHE Ⅱ score, and the interaction items between APACHE Ⅱ and age showed the better fitting. Further analysis showed that APACHE Ⅱ score was affected by age, gender, hospital admission, baseline SOFA score and smoking history. After controlling for these confounding factors, APACHE Ⅱ score was significantly associated with 14-day all-cause death in patients with severe stroke [hazard ratio ( HR) = 1.48, 95% confidence interval (95% CI) was 1.31-1.66, P < 0.001], which indicated that the risk of death increased by 48% (95% CI was 31%-66%) for each 1-point increase in APACHE Ⅱ score. Subgroup analysis showed that for different types of severe stroke patients, APACHE Ⅱ score had a greater impact on the risk of 14-day death in SAH patients ( HR = 1.43, 95% CI was 1.10-1.85), but had a smaller impact on ICH and IS groups [HR (95% CI) was 1.37 (1.15-1.64) and 1.35 (1.06-1.71), respectively]. There was no significant difference in APACHE Ⅱ score on the risk of 14-day death between the patients aged > 60 years old and those aged ≤ 60 years old [ HR (95% CI): 1.37 (1.08-1.72) vs. 1.35 (1.07-1.70), respectively]. Compared with patients with SOFA score > 3, APACHE Ⅱ score had a greater impact on the risk of 14-day death in patients with SOFA score ≤ 3 [ HR (95% CI): 1.40 (1.16-1.70) vs. 1.34 (1.16-1.55)]. Conclusion:Time-dependent APACHE Ⅱ score is an important indicator to evaluate the risk of death in patients with severe stroke.

Objective:To study the clinical characteristics of novel coronavirus pneumonia (COVID-19) patients and make a feasible screening process in fever clinic.Methods:Epidemiologic features, clinical presentation, laboratory findings and image features of the screened patients were retrospectively collected and analyzed.Results:A total of 46 patients were screened, 9 of them were laboratory-confirmed novel coronavirus infection, and others were defined as laboratory-excluded patients. Laboratory-confirmed patients had higher frequency of travelling or residence in Wuhan within two weeks of onset ( P<0.05), but there were no differences on age, sex, other epidemiologic features and comorbidities between the two groups ( P>0.05). The most common feature of the laboratory-confirmed patients was fever (100%), but the symptoms showed no differences between the two groups ( P>0.05). Laboratory-confirmed patients had lower white blood cell count than the laboratory-excluded patients ( P<0.05), and all of them had pneumonia in chest CT scan. None of the patients with normal chest CT had positive novel coronavirus nucleic acid test. Conclusions:No specific symptom is helpful in the diagnosis of novel coronavirus infection. However, patients without chest CT scan changes have a very low risk of novel coronavirus infection despite of the epidemiologic history and fever. We recommended a screening procedure that might help to reduce the rate of miss diagnosis and improve screening efficiency.

Objective: To study the clinical characteristics of 2019 coronavirus (2019-nCoV) pneumonia patients and make a feasible screening process in fever clinic. Methods: Epidemiologic features, clinical presentation, laboratory findings and image features of the screened patients were retrospectively collected and analyzed. Results: Totally, 46 patients were screened, 9 of them were laboratory-confirmed 2019-nCoV infection, and others were defined as laboratory-excluded patients. Laboratory-confirmed patients had higher frequency of travelling or residence in Wuhan within two weeks of onset (P<0.05), but there were no differences on age, sex, other epidemiologic features and comorbidities between the two groups (P>0.05). The most common feature of the laboratory-confirmed patients was fever (100%), but the symptoms showed no differences between the two groups (P>0.05). Laboratory-confirmed patients had lower white blood cell count than the laboratory-excluded patients (P<0.05), and all of them had pneumonia in chest CT scan. None of the patients with normal chest CT had positive 2019-nCoV nucleic acid test. Conclusions No specific symptom was helpful in the diagnosis of 2019-nCoV infection. However, patients without chest CT scan changes had a very low risk of 2019-nCoV infection despite of the epidemiologic history and fever. We recommended a screening procedure that might be helpful to reduce the rate of miss diagnosis and improve screening efficiency.