摘要:目的: 观察免费治疗社区精神分裂症患者的疗效。 方法 :纳入贫困家庭精神分裂症患者140例,随机分为免费服药组和对照组,每组70例。随访1年,采用精神分裂症阳性与阴性症状量表(PANSS)\社会功能缺陷量表(SDSS)等评估。 结果 :对实验组与对照组的基线、6个月后及1年后随访的PANSS总分、各因子分、SDSS总分分别进行比较,结果显示基线、6月后均无统计学差异;1年后SDSS总分、PANSS总分、阳性因子分、一般病理因子、思维障碍、偏执因子分差异有显著性;免费治疗组1年后各指标与入组前相比分值降低(P＜001)。 结论 :精神分裂症患者免费服药后精神症状缓解明显,同时其社会功能缺陷也得到改善。Abstract: Objective: To observe the effect of the free treatment on schizophrenics from community. Methods : Totally 140 subjects from poor family were divided into the free treated group and the control group at random. They were followed up for 1 year. The treatment effects were evaluated by PANSS and SDSS. Results : There were no significant difference in all examinations at baseline and after 6 months; at the following end point, significant difference existed in the score of SDSS, the total scores of the PANSS, the positive factor, the general pathology factor, the thinking factor and the paranoid ideation factor between two groups. There was decrease in the scores for all examinations in the free treated group. Conclusion : The symptoms of schizophrenics by free treatment relieve significantly, and the social function improves.
Objective To understand the current rate of nosocomial infection and its changing trend in a grade A comprehensive hospital in 10 years, and to provide scientific basis for the monitoring, control and management of nosocomial infection. Methods Using the method of cross-sectional survey, the inpatients in Mianyang Central Hospital from 2011 to 2020 were selected for bedside survey, and the questionnaire was filled in after review of medical records. The data of cross-sectional survey of nosocomial infection were collected, and the infection-related data of nosocomial and community-acquired infection of patients in each department were statistically analyzed. Results A total of 19 595 cases were investigated. The prevalence rate of nosocomial infection was 3.79%, and the the case prevalence rate of nosocomial infection was 4.04%. The prevalence of community-acquired infection was 33.44%, and the case prevalence rate of community-acquired infection was 35.30%. The departments with higher prevalence rate in nosocomial infection were intensive care unit, neurosurgery, cardiothoracic surgery and hematology. The departments with high prevalence rate in the community-acquired infection were burn department, pediatrics department, neonatology department, respiratory medicine department and pediatric intensive care unit. The most common site of nosocomial infection was lower respiratory tract infection, followed by upper respiratory tract sensation, urinary tract, abdominal tissue and blood. The main pathogens of nosocomial infections were Escherichia coli, Klebsiella pneumoniae, Acinetobacter baumannii, Staphylococcus aureus, and Pseudomonas aeruginosa. The utilization rate of antibacterial drugs was 42.93%. There was a downward trend in prophylactic drug use, mainly one drug combination, and the proportion of combination drug decreased.Conclusion Through the investigation, it can be seen that the key points of nosocomial infection management and prevention and control should be lower respiratory tract infection, postoperative surgical infection, multi-drug resistant bacteria management and rational use of antibiotics.
Objective To analyze the clinical features and etiologic of community-acquired pneumonia (CAP) among the elderly aged 80 and over, and provide evidence for clinical diagnosis and treatment. Methods The clinical characteristics and etiology of the elderly CAP (≥80 years old) were analyzed by collecting and comparing the clinical characteristics and etiology between the very elderly CAP group (≥80 years old, 94 cases) and control group (65 to 79 years old, 100 cases). Results On clinical symptoms, there were statistical differences in dyspnea and gastrointestinal symptoms, systemic symptoms, and mental status (P<0.05) between the two groups. There was no statistically significant difference in upper respiratory tract symptoms, fever, cough, sputum, hemoptysis and chest pain between the two groups (P>0.05). On the complications, the very elderly CAP group was more prone to respiratory failure, sepsis, urinary tract infection and electrolyte metabolism than the control group (P<0.05). On the experimental indicators, anemia and abnormal renal function in the elderly CAP group were high (P<0.05). There was no statistical difference between the two groups of inflammation indicators (white blood count, procalcitonin, C-reactive protein, erythrocyte sedimentation rate, neutrophil alkaline phosphatase score). The pneumonia severity index score and CURB-65 score of the very elderly CAP group were significantly higher than those of the control group (P<0.001). On pathogen analysis, in the very elderly CAP group the number of bacterial infections (23/94), viral infections (21/94) and bacterial mixed virus infections (21/94) were probably equivalent, and the proportion of bacterial infections of two or more types accounted for 17.0% (16/94); The bacteria detection rate was Streptococcus pneumoniae (22.4%), Pseudomonas aeruginosa (19.4%), Stenotrophomonas maltophilia (16.4%), Staphylococcus aureus (14.9%). Viral infection mainly focused on influenza A virus (23/94) and human cytomegalovirus (21/94). Bacterial mixed virus infection was mainly caused by Streptococcus pneumoniae and influenza A virus infection. Comparing the two groups, the most common bacterial pathogen both of them was Streptococcus pneumoniae, but the overall proportion was dominated by gram-negative bacteria, Pseudomonas aeruginosa, Stenotrophomonas maltophilia, Acinetobacter baumannii and Klebsiella pneumoniae were more common; the gram-positive bacteria in the two groups were mainly Streptococcus pneumoniae and Staphylococcus aureus. There was no significant difference in the detection rate of above Gram-positive bacteria between the two groups (P>0.05). The two groups of virus infections were mainly influenza A virus, and the difference was not statistically significant (P>0.05). The two groups of single bacteria rate, single virus infection rate, double virus infection rate and bacterial mixed virus infection rate were similar, the difference had not been found (P>0.05). Conclusions The elderly (aged 80 and over) CAP group is prone to dyspnea, often presents with extrapulmonary atypical symptoms such as digestive tract symptoms, systemic symptoms and psychiatric symptoms, and usually accompanied with many complications. The etiological treatment mainly covers gram-negative bacteria, and we must pay attention to the possibility of combined virus infection.
Objective To explore the thromboembolic events and mortality in patients with different types of severe pneumonia, and to analyze the related high-risk factors. Methods A total of 161 severe pneumonia patients who admitted in intensive care unit from January 2018 to February 2023 were included in the study. The patients were divided into a COVID-19 group (n=88) and a community-acquired pneumonia (CAP) group (n=73) according to the type of pneumonia, and divided into a thrombosis group and a non-thrombosis group according to the occurrence of thrombosis. The patients were followed-up until discharge or in-hospital death, registering the occurrence of thrombotic events. Results During the in-hospital stay, 32.9% of CAP and 36.4% of COVID-19 patients experienced thrombotic events (P>0.05). In CAP group all the events (including 24 paitents) were venous thromboses, while in COVID-19 group 31 patients were venous and 3 were arterial thromboses (2 were cerebral infarction, and 1 with myocardial infarction). There were statistically significant difference in gender, age, venous thromboembolism score (VTE score), activated partial thromboplastin time (APTT), and procalcitonin (PCT) between the TE group and the Non-TE group. Logistic regression analysis showed that thrombotic events was associated with sex, age and APTT; gender (female: OR=2.47, 95%CI 1.13 - 5.39, P<0.05) and age (OR=1.04, 95%CI 1.01 - 1.07, P<0.05) were positively associated with thrombotic events. During the in-hospital follow-up, 44.3% of CAP patients and 42.5% of COVID-19 patients died (P>0.05). Receiver operator characteristic (ROC) curve analysis showed that APACHEⅡ score was more accurate in predicting mortality of severe pneumonia, and the area under the ROC curve (AUC) was 0.77 (95%CI 0.70 - 0.84, sensitivity 74.3%, specificity 68.1%), the AUC of the VTE score was 0.61 (95%CI 0.53 - 0.70, Sensitivity 31.4%, specificity 81.7%); the AUC of the creatinine was 0.64 (95%CI 0.56 - 0.73, sensitivity 72.9%, specificity 51.2%). While the Kappa value for kidney disease was 0.409 (P<0.05) presenting moderate consistency. Conclusions The incidence of thromboembolic events and mortality are high in patients with different types of severe pneumonia. Thrombophilia was associated with sex, age, and APTT. APACHEⅡ score, VTE score, and creatinine value were independent risk factors for predicting death from severe pneumonia.
ObjectiveTo investigate the etiologic feature and prognosis of adult patients with severe community-acquired pneumonia (SCAP). MethodsAccording to the guideline on the diagnosis and treatment of community-acquired pneumonia in 2006, 105 patients with SCAP were included in the study. The proportion of pathogens (including multiple resistant bacteria) and mortality rate were recorded. Appropriate statistical methods were selected and all data were analyzed by using SPSS Version 18.0 computerized program. ResultsThe predominant pathogen with SCAP was Pseudomonas aeruginosa, followed by Klebsiella pneumoniae, Staphylococcus aureus, and Legionella pneumophila. In death cases, Klebsiella pneumoniae was the most common pathogen, followed by Staphylococcus aureus. It was showed in the drug sensitivity test that most pathogens were drug-sensitive strains. The patients with tumor had higher risks to get infected with Gram-negative bacillus. ConclusionsThe etiology of patients with SCAP in our emergency department is given priority to Gram-negative bacillus and sensitive strains, of which Pseudomonas aeruginosa and Klebsiella pneumoniae are predominant. As for the Gram-positive cocci, Staphylococcus aureus is the most common pathogen. Legionella pneumophila is the most common pathogen in atypical pathogens, which only account for a small proportion of the aetiology of SCAP. Patients with Klebsiella pneumoniae and Staphylococcus aureus infections are associated with poor prognosis.
ObjectiveTo explore the clinical value of the soluble urokinase type plasminogen activator receptor (suPAR) level in bronchoalveolar lavage fluid (BALF) for evaluateting the disease severity and prognosis of severe community-acquired pneumonia (SCAP). MethodsEighty-four patients with SCAP were recruited as a SCAP group from the respiratory department, ICU and RICU between April 2014 and April 2016. According to their organ dysfunction, the SCAP patients were subdivided into a MODS group and a non-MODS group. Depending on the treatment response on the 7th day of treatment, they were subdivided into an effective group and an ineffective group. According to the survival condition within 28 days, they were subdivided into a survival group and a death group. Meanwhile, 50 cases with non-severe common community acquired pneumonia were recruited as a control group. On the admission day, all cases were evaluated by PSI score and APACHE Ⅱscore. The serum suPAR level were detected by ELISA on the 1st day in hospital. The suPAR and procalcitonin (PCT) levels in the patient's BALF and serum were detected on the 1st, 3rd, 7th day, discharge or death day. The symptoms and signs, biochemical and pulmonary imaging changes were also observed. ResultsThere were no differences in the sex, age, body weight, duration of pneumonia, or complicated diseases such as hypertension, coronary heart disease and cerebral vascular diseases between the SCAP group and the control group (all P > 0.05). The suPAR levels in serum and BALF of the SCAP group were higher than those of the control group with significant differences (all P < 0.05). The suPAR level in BALF was obviously higher than that in serum in the SCAP group with significant difference (P < 0.05), and slightly higher than that in serum in the control group with no significant difference (P > 0.05). The level of suPAR in BALF of the MODS group was significantly higher than that in the non-MODS group with significant difference (P < 0.05), but there was no significant difference in the PCT level between the two groups (P > 0.05). The suPAR level in the ineffective treatment group was significantly higher than that in the effective treatment group on the 7th day in hospital with significant difference (P < 0.05). The suPAR levels in BALF of the death group were higher than those in the survival group at each time point after admittion with significant difference (all P < 0.05), and the PCT levels had no significant difference between the two groups within 1 week of each time point (all P > 0.05). The suPAR level in BALF of the SCAP group was positively correlated with APACHEⅡ score and PSI score (r=0.578, P=0.0085; r=0.565, P=0.0071), and plasma PCT level was weakly correlated with the APACHEⅡ score and PSI score (r1=-0.0137, r2=-0.0152). ConclusionThe SuPAR level in BALF of patients with SCAP is closely related to the severity and prognosis, and can be used as an index to assess the severity and prognosis.
Objective To investigate the clinical characteristics and risk factors associated with death in critically ill patients with severe community-acquired pneumonia( CAP) .Methods A retrospective analysis was carried out in 125 hospitalized patients with severe CAP admitted from July 2008 to February 2012. Earlier clinical features were compared between 109 survival patients and 16 dead patients, and logistic regression analysis was conducted. Results The death group had more underlying diseases than the survival group( P lt;0. 05) . The heart rate at admission in the death group was significantly higher than that in the survival group( P lt;0.05) . The ratio and number of complication, the highest temperature before admission, the platelet count, the arterial blood pH, PaO2 and PaO2 /FiO2 in the death group were significantly lower than those in the survival group( P lt; 0. 05) . Logistic regression analysis showed that the number of underlying diseases, heart rate and PaO2 were predictors of death in the patients with severe pneumonia. Conclusion The number of underlying diseases, heart rate and PaO2 has highly predictive value of death for severe CAP.
This paper introduces the background and research design (including site of investigation, study population, baseline survey and follow-up monitoring), which belongs to the Precision Medicine Project of the National Key Research and Development Program of China.
ObjectiveTo evaluate the reasonableness of anticoagulation management strategy in patients after mechanical heart valve replacement. MethodsAll patients were followed and registered continually at outpatient clinic from July 2011 to February 2013, with a minimum of 6 months after surgery. Targeted international normalized rate (INR) 1.60 to 2.20 and warfarin weekly dosage adjustment were used as the strategy of anticoagulation management. Except bleeding, thrombogenesis and thromboembolism, time in therapeutic range (TTR) and fraction of TTR (FTTR) were adopted to evaluate the quality of anticoagulation management. ResultsA total 1 442 patients and 6 461 INR values were included for data analysis. The patients had a mean age of 48.2±10.6 years (14-80 years) and the following up time were 6 to 180 months (39.2±37.4 months) after surgery. Of these patients, 1 043 (72.3%) was female and 399 (27.7%) was male. INR values varied from 0.90-8.39 (1.85±0.49) and required weekly doses of warfarin were 2.50-61.25 (20.89±6.93 mg). TTR of target INR and acceptable INR were 51.1% (156 640.5 days/306 415.0 days), 64.9% (198 856.0 days/306 415.0 days), respectively. FTTR of target INR and acceptable INR were 49.4% (3 193 times/6 461 times), 62.6% (4 047 times/6 461 times). There were 8 major bleeding events, 7 mild bleeding events, 2 thromboembolism events, and 2 thrombogenesis in the left atrium. ConclusionIt is reasonable to use target INR 1.60-2.20 and warfarin weekly dosage adjustment for patients after mechanical heart valve replacement.
Objective To analyze the differences in microbial communities in bronchoalveolar lavage fluid (BALF) from patients with simple pneumonia versus those with chronic obstructive pulmonary disease (COPD) combined with lower respiratory tract infection using metagenomic next-generation sequencing (mNGS). Methods Patients hospitalized for pulmonary infections at the First Affiliated Hospital of Xinjiang Medical University between December 2021 and March 2023 were included. Based on the presence of COPD, the patients were divided into two groups: those with simple pneumonia and those with COPD combined with lower respiratory tract infection. mNGS was employed to detect microbes in BALF, and the microbial community distribution characteristics of the two groups were analyzed. Results A total of 97 patients were included, of whom 80 (81.82%) had positive microbial detection results. The smoking index in COPD group with lower respiratory tract infection was significantly higher than that in the group with simple pneumonia (t= −3.62, P=0.001). Differences in microbial community distributions were observed between the groups. At the genus level, 19 species of microorganisms were detected in the simple pneumoniapulmonary infection group, including 8 bacteria (42.11%), 2 fungi (10.53%), 3 viruses (15.79%), and 6 other types of microorganisms (31.58%). In contrast, 22 types of microbes were detected in COPD group with lower respiratory tract infection, including 10 bacteria (47.62%), 3 fungi (14.29%), 4 viruses (19.05%), and 4 other types of microorganisms (19.05%). Differences were also noted in reads per million (RPM) values; bacterial RPM values at the genus level were significantly higher in the COPD group during non-severe pneumonia compared to the simple pneumonia group (Z=–2.706, P=0.007). In the patients with severe pneumonia, RPM values at the genus and species levels were significantly higher than those in non-severe pneumonia (Z=−2.202, P=0.028; Z=−2.141, P=0.032). In COPD combined with severe pneumonia, bacterial RPM values were significantly higher at the species level compared to non-severe pneumonia (Z=−2.367, P=0.017). ConclusionsThere are differences in the distribution of microbial communities at the genus and species levels in BALF from patients with COPD combined with lower respiratory tract infection compared to those with simple pulmonary pneumonia. Bacteria are the predominant microbial type in both groups, but the dominant bacterial species differ between them. Simple pneumonia are primarily associated with bacterial, viral, and other types of microbial infections, while COPD combined with lower respiratory tract infection is predominantly associated with fungal and bacterial infections. RPM values may serve as an indicator of the severity of pneumonia.