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 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.
ObjectiveTo construct the general practice tutors’ ability system in community training bases under the background of hospital-community integrated teaching of general practice.Methods From January to April 2021, literature analysis, expert group consultation, in-depth interview and questionnaire survey were conducted to construct the grass-roots general practice tutors’ ability system, and exploratory factor analysis method was applied, using main component analysis to extract the competency elements. Results There were 4 first level indicators and 20 second level indicators in the system, among which the first level indicators were personal characteristics and professionalism, teaching and research ability, basic level clinical practice ability, and base organization management ability. Conclusion This research enriches the indicators and connotations of the general practice tutors in community training base of general practice, and provides empirical research basis for the selection, ability training and performance evaluation of tutors in community practice bases of general practice medicine.
Objective To understand the cognition and acceptance of community hemodialysis centers among hemodialysis patients in Yangzhou, and to provide theoretical basis for the development of community hemodialysis centers. Methods A cluster random sampling method was used to select 400 maintenance hemodialysis patients treated in various areas of Yangzhou in April 2021 for a questionnaire survey to analyze the influencing factors of patients’ medical treatment behavior. Results A total of 390 valid questionnaires were recovered, with an effective recovery rate of 97.50%. Among the patients, 40.51% were very concerned about the construction of hemodialysis centers in the community, 56.67% understood the relevant policies, and 56.92% of the patients were willing to choose the community for dialysis treatment. The results of logistic regression analysis showed that the main factors affecting whether patients choose community for hemodialysis treatment include the patients’ residence [Jiangdu vs. Guangling: odds ratio (OR)=7.183, 95% confidence interval (CI) (2.010, 25.674), P=0.002; Gaoyou vs. Guangling: OR=22.512, 95%CI (7.201, 70.373), P<0.001; Yizheng vs. Guangling: OR=25.137, 95%CI (7.636, 82.744), P<0.001; Baoying vs. Guangling: OR=23.784, 95%CI (7.795, 72.569), P<0.001], degree of concern [some concern vs. very concerned: OR=0.267, 95 %CI (0.137, 0.521), P<0.001; not very concerned vs. very concerned: OR=0.062, 95%CI (0.023, 0.168), P<0.001; not concerned vs. very concerned: OR=0.101, 95% CI (0.023, 0.439), P=0.002], awareness [somewhat know vs. know very well: OR=0.025, 95%CI (0.002, 0.318), P=0.004; don’t know very well vs. know very well: OR=0.035, 95%CI (0.003, 0.439), P=0.009; don’t know vs. know very well: OR=0.006, 95%CI (0.000, 0.084), P<0.001]. Conclusions Hemodialysis patients in Yangzhou have a low level of awareness and acceptance of community-based hemodialysis centers. The patients’ residence, degree of attention and awareness of community-based hemodialysis center directly affect whether they choose the community for treatment. The relevant departments and medical institutions can start from the factors that affect patients’ choice of medical treatment, further strengthen the publicity of community dialysis, optimize the allocation of medical resources, and improve the capacity of community health services.
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.
摘要:目的: 觀察免費治療社區精神分裂癥患者的療效。 方法 :納入貧困家庭精神分裂癥患者140例,隨機分為免費服藥組和對照組,每組70例。隨訪1年,采用精神分裂癥陽性與陰性癥狀量表(PANSS)\社會功能缺陷量表(SDSS)等評估。 結果 :對實驗組與對照組的基線、6個月后及1年后隨訪的PANSS總分、各因子分、SDSS總分分別進行比較,結果顯示基線、6月后均無統計學差異;1年后SDSS總分、PANSS總分、陽性因子分、一般病理因子、思維障礙、偏執因子分差異有顯著性;免費治療組1年后各指標與入組前相比分值降低(P＜001)。 結論 :精神分裂癥患者免費服藥后精神癥狀緩解明顯,同時其社會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 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 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.
Objective
To improve the model of hospital-community integrated service of day surgery through quality control circle (QCC).
Methods
To optimize the community follow-up management of day surgery patients, we used QCC between March and August 2015 to find out the real reasons for community follow-up problems in day surgery patients and developed and implemented corresponding countermeasures. Comparison of health education, postoperative follow-up of dressing changes, and doctor-patient satisfaction assessment before and after the implementation of the model of hospital-community integrated service of day surgery (September 2014-February 2015vs. September 2015-February 2016) was then performed.
Results
After QCC implementation, the average number of dressing changes in the hospital was reduced from 4.58±0.95 to 1.18±0.39 (t=181.194,P<0.001). The average number of dressing changes in the community increased from 1.42±0.52 to 4.32±0.88 (t=–146.245,P<0.001). The average number of health consultation increased from 0.85±0.38 to 6.39±1.20 (t=–177.096,P<0.001). The satisfaction assessment after QCC implementation among doctors, nurses and patients also significantly increased (P<0.01).
Conclusion
Applying QCC can improve the model of hospital-community integrated service of day surgery and have remarkable effects on postoperative rehabilitation and patients’ satisfaction.
