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 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.
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 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 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.
ObjectiveTo study the application of non-real-time ultrasound bronchoscopy combined with Metagenomic Next-Generation Sequencing (mNGS) for diagnosis in focal pulmonary infectious diseases. MethodsProspective inclusion of patients with focal pulmonary infection were randomly divided into two groups, the experimental group used non-real-time ultrasound bronchoscopy positioning to collect bronchial alveolar lavage fluid (BALF), while the control group used chest CT position. BALF was subjected to mNGS and traditional microbial detection including traditional culture, the fungal GM test and Xpert (MTB/RIF). ResultThe positive rate of traditional culture (39.58% vs. 16.67%, P=0.013) and mNGS (89.58% vs. 72.92%, P=0.036) in experimental group was higher. The positive rate of Xpert MTB/RIF (4.17% vs. 2.08%, P=1) and fungal GM test (6.25% vs. 4.17%, P=0.765) was similar. The positive rate of bacteria and fungi detected by mNGS was higher than traditional culture (61.46% vs. 28.13%, P<0.001). Mycobacterium tuberculosis was similar to Xpert MTB/RIF (8.33% vs. 3.13%, P=0.21). Aspergillus was similar to GM test (7.29% vs. 5.21%, P=0.77). The total positive rate of traditional microbial methods was 36.46%, but 81.25% in mNGS (P<0.001). mNGS showed that 35 cases were positive and 13 kinds of pathogens were detected in control group, but 43 patients and 17 kinds of pathogens were detected in experimental group. The average hospitalization time [(12.92±3.54) days vs. (16.35±7.49) days] and the cost [CNY (12209.17±3956.17) vs. CNY (19044.10±17350.85)] of experimental group was less (P<0.001). ConclusionsNon-real-time ultrasound bronchoscopy combined with mNGS can improve the diagnostic rate of focal pulmonary infectious diseases which is worthy of popularization and application in clinical practice.
ObjectiveTo systematically evaluate the risk factors for postoperative pulmonary infection in patients with lung cancer (PPILC), and to provide a theoretical reference for clinicians to prevent the occurrence of PPILC. Methods The databases of CNKI, Wanfang data, VIP, CBM, PubMed, EMbase and The Cochrane Library were searched by computer to collect researches on the risk factors for PPILC. The search period was from 2012 to 2021. Two clinicians independently screened literature and extracted data and assessed studies for risk of bias, cross-checked and agreed. Meta-analysis was performed using RevMan 5.3 software. Results A total of 25 studies were included, including 20 case-control studies, 1 cohort study, and 4 cross-sectional studies, covering 15 129 patients. Twenty case-control studies and 1 cohort study had Newcastle-Ottawa Scale (NOS) scores≥6 points, and 4 cross-sectional studies had the Agency for Health Care Quality and Research (AHRQ) scale scores≥6 points. The results of meta-analysis showed that the risk factors for PPILC included: (1) 4 patient's own factors: age≥60 years, male, smoking history, smoking index≥400; (2) 7 preoperative factors: suffering from diabetes, chronic heart failure and chronic obstructive pulmonary disease, the ratio of forced expiratory volume in 1 second to forced expiratory volume<70%, the ratio of forced expiratory volume in 1 second to the predicted value, preoperative airway colonization, non-standard use of prophylactic antibiotics before surgery; (3) 3 intraoperative factors: operation time≥3 h, thoracotomy, the number of resected lobe≥2; (4) 3 postoperative factors: postoperative pain, postoperative mechanical ventilation≥12 h, postoperative invasive operation. Large number of preoperative lymphocyte, intraoperative systematic lymph node dissection, TNM stage Ⅰ and Ⅱ, and enhanced recovery after surgery were protective factors for PPILC. Conclusion The current research evidence shows that multiple factors are associated with the risk of PPILC. However, considering the influence of the quality and quantity of the included literature, the results of this study urgently need to be further verified by more high-quality clinical studies.
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.
The morbidity and mortality of pulmonary infection are high among infectious diseases worldwide. Rapid and accurate etiological diagnosis is the key to timely and effective treatment. Metagenomic next-generation sequencing (mNGS) technology has brokenthrough the limitations of traditional pathogenic microorganism detection methods and improved the detection rate of pathogens. In this paper, the application and advantages of mNGS technology in the diagnosis of bacteria, fungi, viruses and mixed infections in the lungs are analyzed, and the challenges and breakthroughs in RNA detection, wall breaking of firmicutes and host DNA clearance are described, in order to achieve targeted and accurate etiological diagnosis through mNGS, so as to effectively treat pulmonary infections.
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.