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.
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.
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.
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.
ObjectiveTo analyze the clinical characteristics of acute pancreatitis (AP) complicated with pulmonary infection and to explore the value of BISAP, APACHEⅡ and CTSI scores combined with C-reactive protein (CRP) in early diagnosis and prognosis of AP complicated with pulmonary infection.MethodsFour hundreds and eighty-four cases of AP treated in the Affiliated Hospital of North Sichuan Medical College from January 2018 to January 2020 were selected. After screening, 460 cases were included as the study object, and the patients with pulmonary infection were classified as the infection group (n=114). Those without pulmonary infection were classified as the control group (n=346). The baseline data, clinical characteristics, laboratory test indexes, length of stay, hospitalization cost, and outcome of the two groups were collected, and the risk factors and early predictive indexes of pulmonary infection in patients with AP were analyzed.ResultsHospitalization days and expenses, outcome, fluid replacement within 24 hours, drinking, smoking, age, APACHEⅡ score, BISAP score, CTSI score, hemoglobin (Hb), albumin (ALB), CRP, procalcitonin (PCT), total bilirubin (TB), lymphocyte count, international standardized ratio (INR), blood glucose, and blood calcium, there were significant differences between the two groups (P<0.05). There were no significant difference in BMI, sex, recurrence rate, fatty liver grade, proportion of patients with hypertension and diabetes between the two groups (P>0.05). The significant indexes of univariate analysis were included in multivariate regression analysis, the results showed that Hb≤120 g/L, CRP≥56 mg/L, PCT≥1.65 ng/mL, serum calcium≤2.01 mmol/L, BISAP score≥3, APACHEⅡ score≥8, CTSI score≥3, and drinking alcohol were independent risk factors of AP complicated with pulmonary infection. The working characteristic curve of the subjects showed that the area under the curve (AUC) of CRP, BISAP score, APACHEⅡ score and CTSI score were 0.846, 0.856, 0.882, 0.783, respectively, and the AUC of the four combined tests was 0.952. The AUC of the four combined tests was significantly higher than that of each single test (P<0.05).Conclusions The CRP level, Apache Ⅱ score, bisap score and CTSI score of AP patients with pulmonary infection are significantly higher, which are closely related to the severity and prognosis of AP patients with pulmonary infection. The combined detection of the four items has more predictive value than the single detection in the early diagnosis and prognosis evaluation of AP complicated with pulmonary infection. Its application in clinic is of great significance to shorten the duration of hospitalization and reduce the cost of hospitalization and mortality.
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.
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 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.
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.
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.