Objective To establish a rat model of chronic pulmonary infection by inoculating Pseudomonas aeruginosa to Sprague-Dawley(SD) rats.Metods Sixty SD rats were divided into 2 groups,ie.the P.aeruginosa group and the control group. Silicone tube precoated with P.aeruginosa was placed into the main bronchus. For the control group, sterile silicon tube was intubated. Results P ． aeruginosa was detected from lung tissue of rats in infected groups.Bacterial number was higher than 103cfu ／ g 28 days after inoculation.The pathological study showed fibrinous proliferation and granulomas formation in the lungs of infected rats 28 days after inoculation.Microscopy examination showed a inflammation predominantly with lymphocyte infiltration.In control group, no bacterial and pathological changes could be detected. Conclusions The animal model with P.aeruginosa chronic pulmonary infection can be established successfully by silicone tubes precoated with P.aeruginosa intubated into the main bronchus.
ObjectiveTo systematically evaluate the risk factors for pulmonary infection after cardiac surgery. MethodsA computer search was performed to collect researches on risk factors for pulmonary infection in patients after cardiac surgery from the databases, including CNKI, Wanfang, VIP, CBM, PubMed, The Cochrane Library, EBSCO, CINAHL, Web of Science, EMbase from the inception to August 2023. Two researchers independently extracted data and assessed the literature according to the inclusion and exclusion criteria, and the quality of the literature was evaluated using the Newcastle-Ottawa Scale (NOS). The meta-analysis was performed using RevMan 5.4 software. ResultsA total of 23 studies covering 24348 patients were selected, including 21 case-control studies and 2 cohort studies. The NOS scores were≥6 points. The results of meta-analysis showed that age (OR=2.16, 95%CI 1.80 to 2.59, P<0.001), smoking history (OR=1.91, 95%CI 1.67 to 2.18, P<0.001), pulmonary disease (OR=1.61, 95%CI 1.40 to 1.85, P<0.001), diabetes mellitus (OR=1.62, 95%CI 1.26 to 2.08, P<0.001), operation time (OR=2.54, 95%CI 1.86 to 3.46, P<0.001), cardiopulmonary bypass (CPB) (OR=3.78, 95%CI 2.11 to 6.77, P<0.001), CPB time (OR=2.30, 95%CI 1.94 to 2.71, P<0.001), blood transfusion (OR=2.55, 95%CI 2.04 to 3.20, P<0.001), postoperative mechanical ventilation time (OR=2.78, 95%CI 2.34 to 3.30, P<0.001), tracheal intubation time (OR=3.93, 95%CI 2.45 to 6.31, P<0.001) and repeated tracheal intubation (OR=8.74, 95%CI 4.17 to 18.30, P<0.001) were independent risk factors for pulmonary infection in patients after cardiac surgery. ConclusionAge, smoking history, pulmonary disease, diabetes mellitus, operation time, CPB, CPB time, blood transfusion, postoperative mechanical ventilation time, tracheal intubation time, and repeated tracheal intubation are risk factors for pulmonary infection in patients after cardiac surgery. It can be used as a reference to strengthen perioperative evaluation and nursing of high-risk patients and reduce the incidence of pulmonary infection.
ObjectiveTo systematically review the research progress on risk factors and predictive models for postoperative pulmonary infection (POPI) in gastric cancer patients, aiming to provide a reference for the early identification of high-risk patients and the optimization of clinical interventions. MethodsBy reviewing relevant domestic and international studies in recent years, the key risk factors for POPI in gastric cancer were summarized. And the construction methodologies, efficacy, and clinical application value of the latest predictive models developed in the last three years were evaluated. ResultsIn addition to traditional risk factors, recent studies had further confirmed the significant predictive value of novel factors for POPI following gastric cancer surgery, including nutritional-immune-inflammatory markers (such as prognostic nutritional index, C-reactive protein to albumin ratio, C-reactive protein-albumin-lymphocyte index), preoperative frailty, sarcopenia, and specific surgical approaches (e.g., differences between totally laparoscopic and laparoscopically assisted gastrectomy). Regarding predictive models, nomogram models developed based on multivariate logistic regression analysis and risk scoring systems had demonstrated favorable performance in both internal and partial external validations, with the area under the receiver operating characteristic curve mostly ranging from 0.74 to 0.97. Notably, composite models that integrate nutritional and immune-inflammatory markers with frailty assessments had shown superior predictive accuracy and clinical applicability. ConclusionsThis review provides a novel predictive perspective based on emerging biomarkers and functional assessments for the early identification of high-risk populations of POPI following gastric cancer surgery. Future research should prioritize the validation and refinement of existing models through multicenter collaboration, ultimately transforming them into more effective clinical risk assessment tools to guide precision prevention.
Objective To explore the related factors of postoperative pulmonary infection (PPI) in patients undergoing laparoscopic colorectal cancer surgery, and analyze the perioperative management strategy of pulmonary infection combined with the concept of enhanced recovery after surgery (ERAS). Methods Total of 687 patients who underwent laparoscopic colorectal cancer surgery in the colorectal cancer professional treatment group of Gastrointestinal Surgery Center of West China Hospital of Sichuan University from January 2017 to May 2019 were retrospectively included. According to the occurrence of PPI, all the included cases were divided into infection group (n=97) and non-infection group (n=590). The related factors and prevention strategies of PPI were analyzed. Results The rate of PPI among patients underwent laparoscopic resection in our study was 14.1% (97/687). Compared with the non-infection group, the proportions of patients with preoperative complications other than cardiopulmonary, receiving preoperative neoadjuvant radiotherapy and/or chemotherapy, preoperative Eastern Cooperative Oncology Group (ECOG) score 1–2, preoperative Nutrition Risk Screening 2002 (NRS2002) score 1–3, tumor located in the left colon and rectum, combined organ resection, operative time >3 h and postoperative TNM stage Ⅱ patients in the infection group were higher (P<0.05). However, the proportions of patients who used intraoperative lung protective ventilation strategy and incision infiltration anesthesia in the infection group were lower than those in the non-infection group (P<0.05). In the infection group, the proportions of patients who received regular sputum excretion, atomization therapy, balloon blowing/breathing training, stomatology nursing after operation and postoperative analgesia were all significantly lower than those of the non-infection group (P<0.05), whereas the proportions of patients receiving antibiotics and intravenous nutrition after operation were significantly higher than those in the non-infection group (P<0.05). Logistic regression analysis showed that low preoperative NRS2002 score, intraoperative protective ventilation strategy, postoperative respiratory training, and postoperative regular sputum excretion were the protective factors of PPI, while preoperative cardiopulmonary complications, preoperative neoadjuvant chemotherapy, tumor located in the left colon and rectum, late TNM staging and postoperative antibiotics were risk factors for pulmonary infection.Conclusions Preoperative cardiopulmonary complications, preoperative neoadjuvant chemotherapy, tumor location in the left colon and rectum, late TNM staging and postoperative antibiotics are risk factors for pulmonary infection in patients with laparoscopic colorectal cancer. Preoperative good nutritional status, intraoperative protective ventilation strategy, postoperative respiratory training and regular sputum excretion may reduce the incidence of PPI to a certain extent.
Objective To develop and validate a nomogram prediction model for pulmonary infection in patients following cardiac valve replacement surgery, providing a reference for early screening of high-risk populations and implementing targeted preventive measures. Methods Clinical data of patients who underwent cardiac valve replacement surgery at the Second Affiliated Hospital of Anhui Medical University from January 2020 to October 2023 were collected. Patients were randomly assigned to a modeling group and a validation group in a 7 : 3 ratio. Based on the occurrence of pulmonary infection post-surgery, patients were divided into a pulmonary infection group and a non-pulmonary infection group. Risk factors for pulmonary infection after cardiac valve replacement were analyzed using least absolute shrinkage and selection operator (LASSO) regression and logistic regression to establish a risk prediction model, which was subsequently validated. Model evaluation was conducted using the area under the receiver operating characteristic curve (AUC), calibration curves, and decision curve analysis. Results A total of 689 patients were included, comprising 354 males and 335 females, with a median age of 58.0 (50.0, 68.0) years. The incidence of pulmonary infection was 16.0% (110/689). Independent risk factors for pulmonary infection following cardiac valve replacement included emergency admission, smoking history, chronic obstructive pulmonary disease, duration of cardiopulmonary bypass, duration of tracheal intubation, and postoperative renal injury. The AUC for the modeling group was 0.911 [95%CI (0.877, 0.946) ], with a Hosmer-Lemeshow χ2-value of 6.577 (P=0.583) in the modeling group. The AUC value was 0.891 [95%CI (0.840, 0.941) ], with a Hosmer-Lemeshow χ2-value of 5.486 (P=0.705) in the validation group. The model demonstrated good discrimination, calibration, and net benefit. Conclusion The established nomogram prediction model has significant predictive value and can be applied to risk assessment and individualized treatment for pulmonary infection in patients following cardiac valve replacement surgery.
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.
ObjectiveTo investigate the clinical value of serum proadrenomedullin (pro-ADM) for diagnosis of ventilator-associated pneumonia(VAP). MethodsA prospective study was carried out in eighty-nine patients with clinically suspected diagnosis of VAP who underwent invasive mechanical ventilation between June 2014 and July 2015.The patients were divided into a VAP group (n=52) and a non-VAP group (n=37) according to clinical and microbiological culture results.The levels of serum pro-ADM were measured by sandwich ELISA on 1st, 3rd and 5th day of VAP suspicion.The diagnostic value of pro-ADM for VAP was assessed by receiver operating characteristic (ROC) curve analysis. ResultsOn 1st day, 3rd day and 5th day, the pro-ADM levels [3.10(2.21, 4.61) nmol/L, 3.01(2.04, 4.75)nmol/L and 1.85(1.12, 3.54)nmol/L, respectively] in the VAP group were significantly higher than those in the non-VAP group [1.53(1.07, 2.24)nmol/L, 1.52(1.05, 2.17) nmol/L and 1.26(1.02, 2.17) nmol/L, respectively] (all P < 0.05).For diagnosis of VAP, the area under the ROC curve (AUC) for pro-ADM on 1st, 3rd and 5th were 0.896 (95%CI 0.799-0.940), 0.863(95%CI 0.791-0.935) and 0.651 (95%CI 0.538-0.765), respectively.When using 2.53 nmol/L as the best cutoff on 1st day, pro-ADM had 84.6% sensitivity and 86.5% specificity.When using 2.40 nmol/L as the best cutoff on 3rd day, pro-ADM had 82.7% sensitivity and 83.8% specificity. ConclusionSerum level of pro-ADM in the diagnosis of VAP has good sensitivity and specificity, which may be used as a marker to diagnose VAP early.
Objective To investigate the influence of pulmonary infection on noninvasive ventilation ( NIV) therapy in hypercapnic acute respiratory failure ( ARF) due to acute exacerbation of chronic obstructive pulmonary disease ( AECOPD) , and evaluate the predictive value of simplified version of clinical pulmonary infection score ( CPIS) for the efficacy of NIV therapy in ARF patients with AECOPD. Methods Eighty-four patients with ARF due to AECOPD were treated by NIV, and were divided into a successful group and an unsuccessful group by the therapeutic effect of NIV. The CPIS and simplified version of CPIS between two groups was compared. The predictive value of simplified version of CPIS for the efficacy of NIV wasevaluated using ROC curve analysis. Results The CPIS and the simplified version of CPIS of the successful treatment group ( 4. 0 ±2. 8, 3. 2 ±2. 4) were lower than those of the unsuccessful group ( 8. 0 ±2. 1, 7. 2 ±1. 8) significantly ( P =0. 006, 0. 007) . The area under ROC curve ( AUC) of CPIS and simplified version of CPIS were 0. 884 and 0. 914 respectively, the cut oint of CPIS and simplified version of CPIS were 6 ( sensitivity of 78. 0% , specificity of 91. 2% ) and 5 ( sensitivity of 80. 0% , specificity of 91. 2% ) respectively. Conclusions The level of pulmonary infection is an important influencing factor on the therapeutic effect of NIV in patients with ARF due to AECOPD. Simplified version of CPIS is a helpful predictor for the effect of NIV on ARF of AECOPD.
Whipple’s disease is a multisystemic disease caused by Tropheryma (T.) whipplei that primarily affects the gastrointestinal tract. In literature, T. whipplei can also cause pulmonary infections. The detection of T. whipplei depends on nucleic acid-based test. With the application of next-generation sequencing (NGS), cases with T. whipplei detected from respiratory tract samples by NGS are increasingly found but there is lack of recognized diagnostic criteria for these cases. Within the context, we propose a grading diagnostic scheme for the situation that T. whipplei is detected from respiratory tract samples, based on clinical experience and diagnostic thinking, and referring to the international classifications of invasive fungal infections. The scheme comprises five levels: confirmed, probable, possible, impossible, and excluded. There were 26 such cases from West China Hospital of Sichuan University and we used our diagnostic scheme to define probable in 6 cases, possible in 9 cases, impossible in 8 cases, and excluded in 3 cases. Based on this, we also propose specific suggestions for sample collection and testing, patient management, and further research directions. These recommendations are preliminary based on the existing cases from West China Hospital of Sichuan University and therefore needs to be verified, modified, optimized, and even reconstructed when more clinical evidence and further clinical studies become available.
ObjectiveTo systematically evaluate the risk factors for postoperative pulmonary infection in patients with esophageal cancer. MethodsCNKI, Wangfang Data, VIP, CBM, PubMed, EMbase, The Cochrane Library were searched from inception to January 2021 to collect case-control studies, cohort studies and cross-sectional studies about risk factors for postoperative pulmonary infection in patients with esophageal cancer. Two researchers independently conducted literature screening, data extraction and quality assessment. RevMan 5.3 software and Stata 15.0 software were used for meta-analysis. ResultsA total of 20 articles were included, covering 5 409 patients of esophageal cancer. The quality score of included studies was 6-8 points. Meta-analysis results showed that age (MD=1.99, 95%CI 0.10 to 3.88, P=0.04), age≥60 years (OR=2.68, 95%CI 1.46 to 4.91, P=0.001), smoking history (OR=2.41, 95%CI 1.77 to 3.28, P<0.001), diabetes (OR=2.30, 95%CI 1.90 to 2.77, P<0.001), chronic obstructive pulmonary disease (OR=3.69, 95%CI 2.09 to 6.52, P<0.001), pulmonary disease (OR=2.22, 95%CI 1.16 to 4.26, P=0.02), thoracotomy (OR=1.77, 95%CI 1.32 to 2.37, P<0.001), operation time (MD=14.08, 95%CI 9.64 to 18.52, P<0.001), operation time>4 h (OR=3.09, 95%CI 1.46 to 6.55, P=0.003), single lung ventilation (OR=3.46, 95%CI 1.61 to 7.44, P=0.001), recurrent laryngeal nerve injury (OR=5.66, 95%CI 1.63 to 19.71, P=0.006), and no use of patient-controlled epidural analgesia (PCEA) (OR=2.81, 95%CI 1.71 to 4.61, P<0.001) were risk factors for postoperative pulmonary infection in patients with esophageal cancer. ConclusionThe existing evidence shows that age, age≥60 years, smoking history, diabetes, chronic obstructive pulmonary disease, pulmonary disease, thoracotomy, operation time, operation time>4 h, single lung ventilation, recurrent laryngeal nerve injury, and no use of PCEA are risk factors for postoperative pulmonary infection in patients with esophageal cancer. Due to the limitation of the quantity and quality of included literature, the conclusion of this study still needs to be confirmed by more high-quality studies.