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.
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 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.
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 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 effects of one-lung ventilation time on the concentration of tumor necrosis factor (TNF)-α and interleukin (IL)-6 in the bronchoalveolar lavage fluid (BALF), serum inflammatory markers and early pulmonary infection after radical resection of esophageal cancer.
Methods
Ninety patients with thoracoscope and laparoscopic radical resection of esophageal carcinoma were chosen. According to the thoracoscope operation time, the patients were divided into 3 groups including a T1 (0.5–1.5 hours) group, a T2 (1.5–2.5 hours) group and a T3 (>2.5 hours) group. Immediately after the operation, the ventilated and collapsed BALF were taken. Enzyme-linked immunosorbent assay (ELISA) method was used to determine the concentration of IL-6 and tumour necrosis TNF-α. The concentrations of procalcitonin (PCT), C-reactive protein (CRP), and white blood cell (WBC) were measured on the first, third, fifth day after operation. The incidence of pulmonary infection was observed within 3 days after operation.
Result
The IL-6 values of the right collapsed lung in all groups were higher than those in the left ventilated lung. The TNF-α value of the right collapsed lung in the T2 group and T3 group was higher than that in the left ventilated lung (P<0.05). Compared with in the right collapsed lung, the TNF-α and IL-6 values gradually increased with the the duration of one-lung ventilation (P<0.05). Compared with the left ventilated lung groups, the IL-6 value increased gradually with the duration of one-lung ventilation time (P<0.05). The TNF-α value of the T3 group was higher than that of the T1 and T2 groups (P<0.05). The PCT value of the T3 group was higher than that of the T1 group and T2 group on the third, fifth day after operation (P<0.05). But there was no significant difference in CRP and WBC among the three groups at different time points. The incidence of pulmonary infection in the T3 group was significantly higher than that in the T1 group within 3 days after operation (P<0.05).
Conclusion
With the extension of one-lung ventilation time, the release of local and systemic inflammatory mediators is increased, and the probability of pulmonary infection is higher.
ObjectiveTo assess the value of simplified clinical pulmonary infection score (sCPIS) in predicting prognosis of patients with ventilator-associated pneumonia (VAP).
MethodsThe clinical data of 52 patients with VAP,admitted in ICU between January 2011 and December 2012,were retrospectively analyzed. The sCPIS was calculated at the onset,and on 3rd,5th and 7th day after onset of VAP.
Results24 cases survived and 28 cases died in 28-day's hospitalization. 28-day mortality was 53.8%. A significant decrease in sCPIS scores was found on 3rd,5th and 7th day after onset compared with at the onset of VAP in the survivors(4.8±1.2,4.0±1.1,3.3±1.6 vs. 5.5±1.4,P<0.05). An increase in sCPIS scores was found on 3rd,5th and 7th days after onset compared with at the onset of VAP in the non-survivors (6.8±1.3,7.5±1.4,7.8±1.2 vs. 5.8±1.5,P<0.05). The sCPIS determined at the time of VAP diagnosis and on 3rd,5th and 7th day after onset was significantly higher in the non-survivors than that in the survivors respectively (P<0.05). The duration of mechanical ventilation and the length of ICU stay were longer in the non-survivors than those in the survivors[(18.4±5.2) d vs. (12.0±4.1) d,(22.5±8.5) d vs. (16±6.3) d,P<0.05].
ConclusionSerial measurement of sCPIS is valuable in evaluating the severity of illness and predicting the prognosis.
ObjectiveTo explore the effect of metabolic syndrome (MS) on postoperative pulmonary infection in patients with colorectal cancer (CRC) and to construct a risk prediction model for postoperative pulmonary infection in CRC patients. MethodsRetrospective collection of clinical data from 291 CRC patients who underwent surgical treatment at Department of General Surgery, Suzhou Ninth People’s Hospital in the period of January 2020 to August 2024. To explore the risk factors of postoperative pulmonary infection in patients with CRC and to establish a nomogram model. ResultsAmong the 291 CRC patients enrolled, there were 58 MS patients (19.93%) and 233 non-MS patients (80.07%). Compared with patients without MS, CRC patients with MS had longer surgery time (P<0.001) and higher incidence of postoperative pulmonary infection (P<0.001). The results of multiple logistic regression analysis showed that smoking history [OR=2.184, 95%CI (1.097, 4.345), P=0.026], body mass index (BMI)≥25 kg/m2 [OR=2.662, 95%CI (1.241, 5.703), P=0.012], MS [OR=2.770, 95%CI (1.415, 5.425), P=0.003], increased surgical time [OR=4.039, 95%CI (1.774, 9.197), P<0.001] and increased intraoperative bleeding [OR=2.398, 95%CI (1.246, 4.618), P=0.009] were all risk factors for postoperative pulmonary infection in CRC patients. Based on these risk factors, a nomogram model was constructed. The area under the curve (AUC) was 0.845 [95%CI (0.769, 0.906)], and the sensitivity and specificity were 84.2% and 87.5% respectively. The internal verification of Bootstrap test showed that the simulated curve and the actual curve had good consistency. The clinical decision curve analysis showed that when the threshold probability was in the range of 8%–84%, the net benefit of the model for patient diagnosis was higher. ConclusionsMS increases the risk of postoperative pulmonary infection in CRC patients. At the same time, smoking history, BMI≥25 kg/m2, long operation time, and more intraoperative blood loss are also risk factors for postoperative pulmonary infection in patients with CRC. Building a model based on this can effectively evaluate the risk of postoperative pulmonary infection in CRC patients.
