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 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.
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.
ObjectiveTo systematically evaluate the efficacy of high-flow nasal cannula oxygen therapy (HFNC) in post-extubation intensive care unit (ICU) patients.MethodsThe PubMed, Embase, Cochrane Library, CNKI, WanFang, VIP Databases were searched for all published available randomized controlled trials (RCTs) or cohort studies about HFNC therapy in post-extubation ICU patients. The control group was treated with conventional oxygen therapy (COT) or non-invasive positive pressure ventilation (NIPPV), while the experimental group was treated with HFNC. Two reviewers separately searched the articles, evaluated the quality of the literatures, extracted data according to the inclusion and exclusion criteria. RevMan5.3 was used for meta-analysis. The main outcome measurements included reintubation rate and length of ICU stay. The secondary outcomes included ICU mortality and hospital acquired pneumonia (HAP) rate.ResultsA total of 20 articles were enrolled. There were 3 583 patients enrolled, with 1 727 patients in HFNC group, and 1 856 patients in control group (841 patients with COT, and 1 015 with NIPPV). Meta-analysis showed that HFNC had a significant advantage over COT in reducing the reintubation rate of patients with postextubation (P<0.000 01), but there was no significant difference as compared with that of NIPPV (P=0.21). It was shown by pooled analysis of two subgroups that compared with COT/NIPPV, HFNC had a significant advantage in reducing reintubation rate in patients of postextubation (P<0.000 01). There was no significant difference in ICU mortality between HFNC and COT (P=0.38) or NIPPV (P=0.36). There was no significant difference in length of ICU stay between HFNC and COT (P=0.30), but there had a significant advantage in length of ICU stay between HFNC and NIPPV (P<0.000 01). It was shown by pooled analysis of two subgroups that compared with COT/NIPPV, HFNC had a significant advantage in length of ICU stay (P=0.04). There was no significant difference in HAP rate between HFNC and COT (P=0.61) or NIPPV (P=0.23).ConclusionsThere is a significant advantage to decrease reintubation rate between HFNC and COT, but there is no significant difference in ICU mortality, length of ICU stay or HAP rate. There is a significant advantage to decrease length of ICU stay between HFNC and NIPPV, but there is no significant difference in ICU mortality, reintubation rate or HAP rate.
Objective To explore the application value of metagenomic next-generation sequencing (mNGS) based on human sequencing in the clinical early diagnosis of lung cancer. Methods Four patients hospitalized with suspected lung infection were retrospectively analyzed, and the test results of bronchoalveolar lavage fluid (BALF) on mNGS of tumor metagenome, the routine clinical test results, and their clinical diagnosis and treatment information in between August 26, 2021, and December 18, 2021. Results Patient 1 was preliminarily diagnosed with lung cancer by referring to chest computed tomography (CT) imaging. Chest radiograph or CT in the other three patients showed bilateral lung CT and lamellar hyperintensities (patient 2), bilateral lung mass-like and lamellar hyperintensities (patient 3), and lung masses (patient 4), respectively. BALF samples from all 4 patients were detected with mNGS based on human tumor sequences, indicating tumor. In addition, the result in patient 3 also indicated white pseudofilamentous yeast infection consistent with clinical culture, and the result in patient 4 also showed infection of rhinovirus type A. Conclusion The second generation genome sequencing technology based on human sequence can not only assist clinical diagnosis of infection, but also provide detection datUM support for tumor early warning.
ObjectiveTo analyze and summarize the clinical characteristics, risk factors, pathogenic bacteria type, and drug tolerance of diabetes complicated with hospital-acquired pulmonary infection, in order to reduce the incidence of hospital-acquired pulmonary infection in patients with diabetes. MethodsThe clinical data of diabetic patients with hospital-acquired pulmonary infection from 2011 to 2013 were taken for retrospective clinical analysis. ResultsA total of 78 diabetic patients had hospital-acquired pulmonary infection among all the 572 hospitalized patients with diabetes. Age, complications of diabetes, chronic underlying disease, duration of hospital stay, glycated hemoglobin and invasive procedures were all correlated with the incidence of hospital-acquired infection (P<0.05). Through sputum culture and throat culture, 59 strains of pathogens were found, and they were mainly multidrug-resistant Gram-negative bacteria, accounting for 71.2%. ConclusionThe rate of acquired pulmonary infection in diabetic patients is particularly high, and the pathogens are mostly Gram-negative and multidrug-resistant. Glycemic control, rational use of antimicrobial drugs, shorter hospital stay, effective prevention and treatment of diabetes complications and chronic underlying diseases, and aseptic techniques can be effective in preventing acquired pulmonary infection for diabetic patients.
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.
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.
Lung transplantation has become an effective treatment for various end-stage lung diseases, which can significantly improve the quality of life and prolong the survival time of patients. However, there are still many challenges in the postoperative management of lung transplantation, which pulmonary infection is the primary factor affecting the survival and quality of life of recipients. This article reviews the common infection types and risk factors of lung transplantation recipients at home and abroad, in order to provide reference for the prevention and treatment of clinical lung transplantation infection.