Acute lung injury is one of the common and serious complications of acute aortic dissection, and it greatly affects the recovery of patients. Old age, overweight, hypoxemia, smoking history, hypotension, extensive involvement of dissection and pleural effusion are possible risk factors for the acute lung injury before operation. In addition, deep hypothermia circulatory arrest and blood product infusion can further aggravate the acute lung injury during operation. In this paper, researches on risk factors, prediction model, prevention and treatment of acute aortic dissection with acute lung injury were reviewed, in order to provide assistance for clinical diagnosis and treatment.
Objective To study the risk factors of developing progressive pulmonary fibrosis (PPF) within one year in patients diagnosed with rheumatoid arthritis-associated interstitial lung disease (RA-ILD), and develop a nomogram. Methods A retrospective study was conducted in 145 cases of RA-ILD patients diagnosed and followed up in the Affiliated Hospital of Qingdao University from January 2010 to October 2022. Among them, 106 patients and 39 patients were randomly assigned to a training group and a verification group. The independent predictors of PPF in patients with RA-ILD within one year were determined by univariate and multivariate logistic regression analysis. Then a nomogram is established through these independent predictive variables. Calibration curve, Hosmer-Lemeshow test, receiver operating characteristic (ROC) curve and area under ROC curve (AUC) and clinical decision curve were used to evaluate the predictive efficiency of the nomogram model for PPF in RA-ILD patients within one year. Finally, internal validation was used to test the stability of the model. Results Of the 145 patients with RA-ILD, 62 (42.76%) developed PPF within one year, including 40 (37.7%) in the training group and 22 (56.41%) in the verification group. The PPF patients had higher proportion of subpleural abnormalities, higher visual score of fibrosis and shorter duration of RA. Logistic regression analysis showed that the duration of rheumatoid arthritis (RA), visual score of fibrosis and subpleural abnormality were independent risk factors for the occurrence of PPF within one year after diagnosis of RA-ILD. A nomogram was constructed based on these independent risk factors. The AUC values of the training group and the verification group were 0.798 (95%CI 0.713 - 0.882) and 0.822 (95%CI 0.678 - 0.967) respectively, indicating that the model had a good ability to distinguish. The clinical decision curve showed that the clinical benefit of PPF risk prediction model was greater when the risk threshold was between 0.06 and 0.71. Conclusion According to the duration of RA, the visual score of fibrosis and the presence of subpleural abnormalities, the predictive model of PPF was drawn to provide reference for the clinical prediction of PPF in patients with RA-ILD within one year after diagnosis.
ObjectiveTo analyze the increased risks of nursing due to expansion of ophthalmic day surgery indications, and the countermeasures. MethodsWe collected the information in the last three years from January 2012 to December 2014 in the Department of Ophthalmology, including the number of operations, the proportion of cataract patients, patients aged over 70 and under 12 years old, patients with high-risk fall, the number of general anesthesia operations, adverse events, and the data from the satisfaction survey of the patients. All the data were analyzed by statistical method. ResultsDuring the last three years, the relaxation of ophthalmic day surgery indications led to an increased admission rate of high-risk patients, and caused more nursing risk factors. Through the efforts of prevention and care, during the last three years, there were no adverse events, and patients had a satisfaction rate over 90%. ConclusionAlthough the ophthalmic day surgery indication has been relaxed, through the establishment of nursing risk response system by pre-hospital guidance, admission assessment, peri-operative education and follow-up visit, with the continuous improvement of nursing management system and convenient workflow, we can not only improve the work efficiency, but also ensure nursing safety.
Objective To investigate the clinical characteristics and drug sensitivity of patients with Gram-negative bacilli infection, and evaluate the risk factors related to infection, so as to provide a theoretical basis for clinical prevention and treatment of hospital-acquired infection. Methods The complete medical records of 181 patients with Gram-negative bacilli infection in the Department of Respiratory and Critical Care Medicine of Beijing Anzhen Hospital from January 2018 to September 2021 were retrospectively collected. They were divided into a Carbapenem-resistant Gram-negative bacillus (CR-GNB) group and a Carbapenem-sensitive Gram-negative bacillus (CS-GNB) group according to their different sensitivities to carbapenems. Results A total of 238 strains of Gram-negative bacilli were detected, including 108 strains of CR-GNB and 130 strains of CS-GNB. Acinetobacter baumannii was the most common, followed by Pseudomonas aeruginosa, Klebsiella pneumoniae, Enterobacter cloacae, Escherichia coli and Serratia marcescens. Univariate analysis showed that the risk factors of CR-GNB infection were heart disease and cerebrovascular disease, receiving invasive mechanical ventilation, deep venous catheterization and indwelling catheter, hypoproteinemia, renal insufficiency, pre-infection exposure to tigecycline, carbapenems, vancomycin, polymyxin, and combined use of antibiotics. Hypoproteinemia and deep venous catheterization were independent risk factors for CR-GNB infection. The resistance rates of CR-GNB to cefepime, ceftazidime, levofloxacin and ciprofloxacin were 88.0%, 88.0%, 86.1% and 75.0%, respectively. The resistance rate to cefuroxime, amika, ceftriaxone, gentamicin and cotrimoxazole was low, and the resistance rate to ceftazidime avibactam was the lowest (3.7%). Except tetracycline, tigecycline, cefuroxime, polymyxin, cefazolin and ampicillin, the drug resistance rates of CR-GNB group to other antibacterial drugs were higher than those of CS-GNB group, and the differences were statistically significant (P<0.05). The all-cause mortality in CR-GNB group (42.4%) was significantly higher than that in CS-GNB group (6.3%), and the difference was statistically significant (P<0.05). Conclusions The disease burden caused by CR-GNB infection is becoming heavier and heavier, which has a serious impact on the prognosis of hospitalized patients. The increase of antibiotic resistance leads to poor efficacy of antimicrobial therapy. Therefore, early identification of high-risk groups of infection and reasonable and prudent application of antimicrobial therapy can achieve the purpose of reducing the mortality of infection and improving the prognosis of hospitalized patients.
ObjectiveTo systematically evaluate the risk factors for perioperative blood transfusion in patients undergoing coronary artery bypass grafting (CABG).MethodsPubMed, Web of Science, The Cochrane Library, EMbase, CNKI, WanFang and VIP Database were electronically searched to collect case-control and cohort studies about the risk factors for perioperative blood transfusion in patients undergoing CABG from inception to February 2020. Two reviewers screened and evaluated the literatures according to the inclusion and exclusion criteria, and meta-analysis was performed by using RevMan 5.3 software.ResultsA total of 26 articles were collected, involving 84 661 patients. The results of meta-analysis showed that age (OR=1.06, 95%CI 1.03 to 1.08, P<0.001), age≥70 years (OR=2.14, 95%CI 1.77 to 2.59, P<0.001), female (OR=1.85, 95%CI 1.55 to 2.22, P<0.001), body mass index (OR=0.94, 95%CI 0.90 to 0.98, P=0.003), weight (OR=0.95, 95%CI 0.93 to 0.96, P<0.001), body surface area (OR=0.19, 95%CI 0.10 to 0.39, P<0.001), smoking (OR=0.80, 95%CI 0.69 to 0.93, P=0.003), diabetes (OR=1.15, 95%CI 1.09 to 1.20, P<0.000 01), chronic heart failure (OR=1.59, 95%CI 1.26 to 1.99, P<0.001), number of diseased coronary arteries (OR=1.17, 95%CI 1.01 to 1.35, P=0.030), reoperation (OR=2.12, 95%CI 1.79 to 2.51, P<0.001), preoperative hemoglobin level (OR=0.60, 95%CI 0.43 to 0.84, P=0.003), preoperative ejection fraction <35% (OR=2.57, 95%CI 1.24 to 5.34, P=0.010), emergency surgery (OR=4.09, 95%CI 2.52 to 6.63, P<0.001), urgent operation (OR=2.28, 95%CI 1.25 to 4.17, P=0.007), intra-aortic balloon pump (OR=3.86, 95%CI 3.35 to 4.44, P<0.001), cardiopulmonary bypass (OR=4.24, 95%CI 2.95 to 6.10, P<0.001), cardiopulmonary bypass time (OR=1.01, 95%CI 1.01 to 1.01, P<0.000 01) and minimum hemoglobin during cardiopulmonary bypass (OR=0.42, 95%CI 0.23 to 0.77, P=0.005) were the risk factors for perioperative blood transfusion in patients undergoing CABG.ConclusionCurrent evidence shows that age, age≥70 years, female, body mass index, weight, body surface area, smoking, diabetes, chronic heart failure, number of diseased coronary arteries, reoperation, preoperative hemoglobin level, preoperative ejection fraction<35%, emergency surgery, urgent operation, intra-aortic balloon pump, cardiopulmonary bypass, cardiopulmonary bypass time and minimum hemoglobin during cardiopulmonary bypass are risk factors for perioperative blood transfusion in patients who undergo CABG. Medical staff should formulate and improve the relevant perioperative blood management measures according to the above risk factors, in order to reduce the perioperative blood utilization rate and improve the clinical prognosis of patients.
Objective To determine the independent influencing factors of intraoperative choking during painless gastrointestinal endoscopy (PGIE) after coronavirus disease 2019 (COVID-19). Methods The data of patients undergoing PGIE with COVID-19 in Northern Jiangsu People’s Hospital between December 2022 and April 2023 were retrospectively collected. Multiple logistic regression analysis was used to screen the influencing factors of intraoperative coughing events that occurred during the diagnosis and treatment process. Results A total of 948 patients were included, with 93 (9.8%) cases of choking. The results of the multiple logistic regression analysis showed that smoking and unresolved cough were independent risk factors for coughing (P<0.05), while colonoscopy and infection duration beyond 14 days between diagnosis and treatment were independent protective factors for coughing (P<0.05). ConclusionsWhen patients with COVID-19 undergoing PGIE, special attention should be paid to high-risk groups such as smoking and unresolved cough. It is necessary to strengthen intraoperative monitoring and implementation of prevention and control measures to reduce the incidence of coughing and improve the safety of diagnosis and treatment for patients.
Objective To establish a model for prognosis analysis of severe community-acquired pneumonia in order to find the independent risk factors for mortality. Methods The data of 88 patients with severe community-acquired pneumonia enrolled from 533 community-acquired pneumonia patients in Fujian Provincial Hospital from April 2012 to December 2015 were analyzed, they were divided into a survival group and a death group according to prognosis. The clinical materials of basic data of the population, clinical manifestation, treatment and prognosis and pulmonary severity indexes were collected. Then univariate analysis was used to screen risk factors of death before logistic multivaritae regression was applied to explore independent risk factors. Results The different pathogen groups including viral, bacterial, mixed infection, negative and other groups were compared and no differences were found in mortality (all P>0.05). Univariate analysis revealed antibiotics treatment before admission, higher APACHEⅡ score, higher Chalison's score, septicopyemia, and higher level of procalcitonin, blood urea nitrogen (BUN), blood glucose, lactate could increase death risk for the patients. While antiviral treatment and no invasive mechanical ventilation were determined as protective factors. Logistic multivaritae regression showed three factors including higher lactate and higher serum BUN and higher heart rates were independent death risk factors [OR values were 4.704 (95%CI 0.966-22.907), 1.264 (95%CI 0.994-1.606), and 1.081 (95%CI 1.003-1.165), respectively]. Whereas no invasive mechanical ventilation was protective factor (OR=0.033, 95%CI 0.001-0.764). Conclusion The patients with higher lactate and BUN, higher heart rate and accepting invasive mechanical ventilation have poor prognosis.
摘要:目的: 总结2型糖尿病患者阴茎勃起功能障碍(ED)的相关危险因素及临床治疗评价。 方法 :分析收集两家医院120例住院及门诊2型糖尿病男性患者的性功能状况、年龄、糖尿病病程、血压、糖化血红蛋白、血脂、吸烟与否等指标,以及接受真空负压吸引联合万艾可治疗的79名患者追踪3个月的疗效评分。 结果 :男性2型糖尿患者中ED的患病率为658%,多因素回归分析显示患者年龄、糖尿病病程、糖化血红蛋白与ED的发生独立相关,而血压、血脂等因素〖WTBX〗P ＞005,无显著性差异。接受真空负压吸引联合万艾可治疗的79例ED患者其有效率达到759%。 结论 :男性2型糖尿病患者中ED是常见的合并症,患病率随年龄、糖尿病病程、糖化血红蛋白的增加而增加。真空负压吸引联合万艾可治疗糖尿病合并ED疗效可靠。Abstract: Objective: Make a conclusion on related ED risk factors and clinic therapy evaluation in 120 Type 2 male diabetic mellitus. Methods : Analyze and collect 120 cases in two hospitals regarding sexual function,age,diabetes course,blood pressure,HbA1c,bolldfat, smokingcondition,etc;follow up 79 cases for 3months and evaluate therapy as a result of vacuum subpressure absorption associated with viagra (sildenafil) therapy. Results : The ED rate in Type 2 male diabetic is 658%;the multifactorial regression analysis shows that occurrence of ED is respectively related with age,diabetes course,HbA1c;there isn’t obvious discrdpancy in blood pressure,blood fat,etc(P ＞005); the effective rate of vacuum subpressure absorption associated with Viagra (sildenafil) therapy in 79 cases is759%. Conclusion : It’s common complications to get ED among the Type 2 male Diabetics and the case rate goes up with the increase of age,diabetes course, HbA1c;it’s reliable to take therapy of vacuum subpressure absorption associated with Viagra.
ObjectiveTo analyze the risk factors for complications after robotic segmentectomy.MethodsClinical data of 207 patients undergoing robot-assisted anatomical segmentectomy in our hospital from June 2015 to July 2019 were retrospectively analyzed, including 69 males and 138 females with a median age of 54.0 years. The relationship between clinicopathological factors and prolonged air leakage, pleural effusion, and pulmonary infection after surgery was analyzed.ResultsAfter robot-assisted segmentectomy, 20 (9.7%) patients developed prolonged air leakage (>5 d), 17 (8.2%) patients developed pleural effusion, and 4 (1.9%) patients developed pulmonary infection. Univariate logistic regression showed that body mass index (BMI, P=0.018), FEV1% (P=0.024), number of N1 lymph nodes resection (P=0.008) were related to prolonged air leakage after robot-assisted segmentectomy. Benign lesion was a risk factor for pleural effusion (P=0.013). The number of lymph node sampling stations was significantly related to the incidence of pulmonary infection (P=0.035). Multivariate logistic analysis showed that the BMI (OR=0.73, P=0.012) and N1 lymph node sampling (OR=1.38, P=0.001) had a negative and positive relationship with prolonged air leakage after robot-assisted segmentectomy, respectively.ConclusionThe incidence of pulmonary complications after robot-assisted segmentectomy is low. The lower BMI and more N1 lymph node sampling is, the greater probability of prolonged air leakage is. Benign lesions and more lymph node sampling stations are risk factors for pleural effusion and lung infection, respectively. Attention should be paid to the prevention and treatment of perioperative complications for patients with such risk factors.
ObjectiveTo systematically evaluate the risk factors for postoperative delirium after surgery for Stanford type A aortic dissection. MethodsWe searched the CNKI, SinoMed, Wanfang data, VIP, PubMed, Web of Science, EMbase, The Cochrane Library database from inception to September 2022. Case-control studies, and cohort studies on risk factors for postoperative delirium after surgery for Stanford type A aortic dissection were collected to identify studies about the risk factors for postoperative delirium after surgery for Stanford type A aortic dissection. Quality of the included studies was evaluated by the Newcastle-Ottawa scale (NOS). The meta-analysis was performed by RevMan 5.3 software and Stata 15.0 software. ResultsA total of 21 studies were included involving 3385 patients. The NOS score was 7-8 points. The results of meta-analysis showed that age (MD=2.58, 95%CI 1.44 to 3.72, P＜0.000 01), male (OR=1.33, 95%CI 1.12 to 1.59, P=0.001), drinking history (OR=1.45, 95%CI 1.04 to 2.04, P=0.03), diabetes history (OR=1.44, 95%CI 1.12 to 1.85, P=0.005), preoperative leukocytes (MD=1.17, 95%CI 0.57 to 1.77), P=0.000 1), operation time (MD=21.82, 95%CI 5.84 to 37.80, P=0.007), deep hypothermic circulatory arrest (DHCA) time (MD=3.02, 95%CI 1.04 to 5.01, P=0.003), aortic occlusion time (MD=8.94, 95%CI 2.91 to 14.97, P=0.004), cardiopulmonary bypass time (MD=13.92, 95%CI 5.92 to 21.91, P=0.0006), ICU stay (MD=2.77, 95%CI 1.55 to 3.99, P＜0.000 01), hospital stay (MD=3.46, 95%CI 2.03 to 4.89, P＜0.0001), APACHEⅡ score (MD=2.76, 95%CI 1.59 to 3.93, P＜0.000 01), ventilation support time (MD=6.10, 95%CI 3.48 to 8.72, P＜0.000 01), hypoxemia (OR=2.32, 95%CI 1.40 to 3.82, P=0.001), the minimum postoperative oxygenation index (MD=−79.52, 95%CI −125.80 to −33.24, P=0.000 8), blood oxygen saturation (MD=−3.50, 95%CI −4.49 to −2.51, P＜0.000 01), postoperative hemoglobin (MD=−6.35, 95%CI −9.21 to −3.50, P＜0.000 1), postoperative blood lactate (MD=0.45, 95%CI 0.15 to 0.75, P=0.004), postoperative electrolyte abnormalities (OR=5.94, 95%CI 3.50 to 10.09, P＜0.000 01), acute kidney injury (OR=1.92, 95%CI 1.34 to 2.75, P=0.000 4) and postoperative body temperature (MD=0.79, 95%CI 0.69 to 0.88, P＜0.000 01) were associated with postoperative delirium after surgery for Stanford type A aortic dissection. ConclusionThe current evidence shows that age, male, drinking history, diabetes history, operation time, DHCA time, aortic occlusion time, cardiopulmonary bypass time, ICU stay, hospital stay, APACHEⅡ score, ventilation support time, hypoxemia and postoperative body temperature are risk factors for the postoperative delirium after surgery for Stanford type A aortic dissection. Oxygenation index, oxygen saturation, and hemoglobin number are protective factors for delirium after Stanford type A aortic dissection.