Objective To explore independent risk factors for 30-day mortality in critical patients with pulmonary infection and sepsis, and build a prediction model. Methods Patients diagnosed with pulmonary infection and sepsis in the MIMIC-Ⅲ database were analyzed. The CareVue database was the training cohort (n=934), and the Metavision database was the external validation cohort (n=687). A COX proportional hazards regression model was established to screen independent risk factors and draw a nomogram. We conducted internal cross-validation and external validation of the model. Using the receiver operator characteristic (ROC) curve, Calibration chart, and decision curve analysis, we detected the discrimination, calibration, and benefit of the model respectively, comparing with the SOFA scoring model. Results Age, SOFA score, white blood cell count≤4×109/L, neutrophilic granulocyte percentage (NEU%)>85%, platelet count (PLT)≤100×109/L, PLT>300×109/L, red cell distribution width >15%, blood urea nitrogen, and lactate dehydrogenase were independent risk factors. The areas under the ROC curve of the model were 0.747 (training cohort) and 0.708 (external validation cohort), respectively, which was superior to the SOFA scoring model in terms of discrimination, calibration, and benefit. Conclusion The model established in this study can accurately and effectively predict the risk of the disease mortality, and provide a visual assessment method for early identification of high-risk patients.
Objective To explore the risk factors of nosocomial pulmonary infection in acute pesticide poisoning. Methods The clinical data of patients with acute pesticide poisoning hospitalized in the Emergency Department of the First Affiliated Hospital of Wannan Medical College and the Second Affiliated Hospital of Wannan Medical College between January 1, 2021 and September 30, 2023 were retrospectively analyzed. Patients were divided into pulmonary infection group and non-pulmonary infection group according to whether they had pulmonary infection during hospital. Multiple logistic regression was used to analyze the independent risk factors of nosocomial pulmonary infection in patients with acute pesticide poisoning, and a risk prediction model (nomogram) was constructed. The predictive efficacy of nomogram and independent predictors in nosocomial pulmonary infection were analyzed by using the receiver operating characteristic curve. Calibration curve and decision curve were used to evaluate the differentiation and clinical application value of the model. Results A total of 189 patients with acute pesticide poisoning were included in the study, with an average age of (58.12±18.45) years old, 98 males (51.85%) and 91 females (48.15%). There were 36 cases (19.05%) of pulmonary infection. Multiple logistic regression analysis showed that age [odds ratio (OR)=1.030, 95% confidence interval (CI) (1.001, 1.060), P=0.040], type 2 diabetes mellitus [OR=2.770, 95%CI (1.038, 7.393), P=0.042], ischemic cerebrovascular disease [OR=3.213, 95%CI (1.101, 9.376), P=0.033], white blood cell count [OR=1.080, 95%CI (1.013, 1.152), P=0.019], activities of daily living score [OR=0.981, 95%CI (0.965, 0.998), P=0.024] were independent predicting factors for nosocomial pulmonary infection in acute pesticide poisoning. The area under the curve of nosocomial pulmonary infection in patients with acute pesticide poisoning predicted by nomogram based on the above factors was 0.813 (P<0.001). The calibration curve showed that the prediction probability was consistent with the actual occurrence probability (P=0.912), and the decision curve showed that the nomogram had good clinical application value. Conclusions Age, activities of daily living score, type 2 diabetes mellitus, ischemic cerebrovascular disease, and white blood cell count are independent predictors of nosocomial pulmonary infection in acute pesticide poisoning. The nomogram constructed based on them has good differentiation and consistency, which can provide basis for early identification and intervention of clinical staff.
In recent years, with the wide application of metagenomics next-generation sequencing, more and more rare pathogens have been detected in our clinical work, including non-tuberculous Mycobacterium, Corynebacterium, Fusarium, Cryptococcus pneumoniae, human herpes virus, torque teno virus, parvovirus, Tropheryma whipplei, Bartonella, Chlamydia psittaci, etc. It is difficult to determine whether these rare pathogens are clinically significant and need treatment. This article puts forward some suggestions and discussions on the diagnosis and treatment of pulmonary infections with some rare pathogens.
Objective To explore the role of CD4+CD25+ Treg cells in chronic pulmonary infection caused by Pseudomonas aeruginosa(PA).Methods Sixty SD rats were randomly divided into a PA group and a control group(n=30 in each group).Chronic lung infection model was established by implantation of silicone tube precoated with PA into the main bronchus.Twenty-eight days later Treg cells in peripheral blood were measured by fluorescence-activated cell sorting（FACS）.Levels of IL-10 and TGF-β in serum were assayed by ELISA.The expression of Foxp3 mRNA in spleen was measured by RT-PCR.Pathological changes of lung tissue were studed by HE staining.Results Treg/CD4+ T cells in the PA group were significantly more than those in the control group[（19.79±6.45）% vs （5.15±0.47）%，Plt;0.05].The levels of IL-10 and TGF-β were (231.52±54.48)pg/mL and （121.05±7.98）pg/mL in the PA group respectively，which were significantly higher than those in the control group[（35.43±23.56）pg/mL and （36.02±8.94）pg/mL].The expression of Foxp3 mRNA in the PA group was significantly higher compared with the control group(0.80±0.044 vs 0.25±0.054，Plt;0.05）.HE staining revealed that PA caused a intensive inflammatory reaction with lymphocytes infiltration.Conclusion CD4+CD25+ Treg cell is up-regulated and plays an important role in chronic lung infection caused by Pseudomonas aeruginosa.
对临床上一个拟诊肺部感染的患者, 临床医生通常依据症状、白细胞总数和分类计数, 以及胸部影像学检查作出诊断, 以期尽早开始治疗, 此时抗生素的选择只能是经验性的, 等治疗后随访观察胸片上的浸润影有无吸收才能确定此浸润影是否为感染性的。换言之, 临床症状及影像学检查对于鉴别感染性和非感染性肺部疾病缺乏特异性, 而肺部感染的诊断多属于回顾性的。 目前, 有一些生物标志物用于帮助判断肺部浸润影为感染性或非感染性, 主要包括C 反应蛋白( C-reactive protein,CRP) 、降钙素原( procalcitonin, PCT) 和可溶性髓样细胞触发受体1( soluble triggering receptor expressed onmyeloid cells-1,sTREM-1) 等。
ObjectiveTo evaluate the diagnostic value of sTREM-1 level in bronchoalveolar lavage fluid (BALF) for diagnosing early lung infection of patients with post-traumatic acute respiratory distress syndrome. Methods64 patients with post-traumatic ARDS,who were admitted in ICU from emergency department or other trauma surgery department from January 2010 to December 2012,were divided into a pulmonary infection group (n=34) and a non-pulmonary infection group(n=30).30 healthy volunteers aged over 18 years were taken as healthy control group.The ROC curve was used to analyze the diagnostic value of C-reactive protein (CRP),procalcitonin (PCT) and sTREM-1 in early pulmonary infection of patients with post-traumatic ARDS. ResultsGender and age composition showed no significant difference among the healthy control group,the pulmonary infection group,and the non-pulmonary infection group(P>0.05). Injury severity scale(ISS),APACHEⅡ and the mortality in 28 days showed significant difference between the groups of pulmonary infection and non-pulmonary infection(P<0.05).Oxygenation index (PaO2/FiO2),tracheal intubation time,mechanical ventilation time and length of ICU stay also showed significant difference between the groups of pulmonary infection and non-pulmonary infection(P<0.01).Compared with the healthy control group,levels of serum CRP,PCT and sTREM-1 increased significantly in the groups of pulmonary infection and non-pulmonary infection(P<0.001).Compared with the non-pulmonary infection group,the levels of CRP,PCT and sTREM-1 in serum,and sTREM-1 in BALF increased significantly in the pulmonary infection group (P<0.05).The area under the ROC curve (AUC) of serum CRP was 0.67 with the sensitivity of 0.68 and the specificity of 0.70.AUC of serum PCT was 0.67 with the sensitivity of 0.70 and the specificity of 0.64.AUC of serum sTREM-1 was 0.73 with the sensitivity of 0.73 and the specificity of 0.68.AUC of sTREM-1 in BALF was 0.90 with the sensitivity of 0.90 and the specificity of 0.82. ConclusionsTREM-1 in BALF can be used as a diagnostic indicator for early pulmonary infection in patients with post-traumatic ARDS.Its sensitivity and specificity are higher than serum CRP,PCT and sTREM-1.
Objective To explore the influencing factors for pulmonary infection after radical resection of colon cancer. Methods A cohort study included 56 patients who underwent radical resection of colon cancer in People’s Hospital of Daye City from Oct. 2014 to Oct. 2016 were followed-up prospectively, to observe the occurrence of pulmonary infection, and collectting the related factors for pulmonary infection in addition. Results The clinical data of 53 patients were finalized and the clinical data of these patients were complete. Among them, 13 patients suffered from pulmonary infection after radical resection of colon cancer, and 40 patients had no obvious exacerbation and no complicated pulmonary infection. Results of logistic regression showed that, value of forced expiratory volume in1 second/forced vital capacity (OR=1.174, P=0.033), operative time (OR=1.638, P=0.012), levels of postoperative copeptin (OR=1.328, P=0.032), and procalcitonin (OR=1.465, P=0.042) were risk factors for pulmonary infection after radical resection of colon cancer. Receiver operating characteristic curve (ROC) showed that, operative time was 6.207-hour, postoperative copeptin level was 10.420 pmol/L, and the postoperative procalcitonin level was 3.676 ng/mL, which had the best predictive effect on predicting pulmonary infection after radical resection of colon cancer. Conclusions Value of forced expiratory volume in 1 second/forced vital capacity, operative time, levels of copeptin and procalcitonin after operation are the independent influencing factors for pulmonary infection after radical resection of colon cancer, and it has best prognostic outcome when the operative time is 6.207-hour, postoperative copeptin level is 10.420 pmol/L, and the postoperative procalcitonin level is 3.676 ng/mL.
ObejectiveTo summarize the research progress of risk factors contributing to postoperative pulmonary infection in gastric cancer, so as to provide reference for medical decision-makers and clinical practitioners to effectively control the incidence of postoperative pulmonary infection in gastric cancer, ensure medical safety and improve the quality of life of patients. MethodThe researches at home and abroad on the factors contributing to pulmonary infection after gastric cancer surgery in recent years were reviewed and analyzed. ResultsThere was currently no uniform diagnostic standard for pulmonary infection. The incidence of postoperative pulmonary infection for gastric cancer varied in the different countries and regions. The pathogenic bacteria that caused postoperative pulmonary infection of gastric cancer was mainly gram-negative bacteria, especially Pseudomonas aeruginosa, Escherichia coli, Acinetobacter boulardii, and Klebsiella pneumoniae. The patient’s age, history of smoking, preoperative pulmonary function, preoperative laboratory indicators, preoperative comorbidities, preoperative nutritional status, preoperative weakness, anesthesia, tumor location, surgical modality, duration of surgery, blood transfusion, indwelling gastrointestinal decompression tube, wound pain, and so on were possible factors associated with postoperative pulmonary infection of gastric cancer. ConclusionsThe incidence of postoperative pulmonary infection for gastric cancer is not promising. Based on the recognition of related factors, it is proposed that it is necessary to develop a risk prediction model for postoperative pulmonary infection of gastric cancer to identify high-risk patients. In addition to the conventional intervention strategy, taking the pathogenesis as the breakthrough, finding the key factors that lead to the occurrence of postoperative pulmonary infection of gastric cancer is the fundamental way to reduce its occurrence.