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.
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 evaluate the diagnostic value of soluble triggering receptor expressed on myeloid cells-1 (sTREM-1) level in bronchoalveolar lavage fluid (BALF) for discrimination of Acinetobacter baumannii (A. baumannii) colonization from infection.MethodsSixty patients with tracheal intubation or tracheotomy who were admitted in intensive care unit from July 2016 to July 2018, were divided into an infection group (n=20), a colonization group (n=20) and a control group (n=20). The serum and BALF samples were collected from the patients on the day when lower respiratory tract sample culture was positive so as to detect sTREM-1, serum procalcitonin (PCT) and interleukin-6 (IL-6). The value of serum PCT, IL-6, sTREM-1 and BALF sTREM-1 in differentiation of infection or colonization for A. baumannii was analyzed by mean of receiver operating characteristic (ROC) curve.ResultsThere were no significant differences in gender composition, age or Glasgow coma score among the three groups (P>0.05). The clinical pulmonary infection score (CPIS) of the infection group was higher than that in the control group (P<0.05). Compared with the control group, while the sTREM-1 concentration of BALF with A. baumannii colonization increased significantly but levels of PCT, IL-6 and sTREM-1 remained unchanged in serum. The levels of PCT, IL-6 and sTREM-1 in serum, and sTREM-1 in BALF increased significantly in the infection group (P<0.001). Compared with the colonization group, the levels of PCT, IL-6 and sTREM-1 in serum, and sTREM-1 in BALF increased significantly in the infection group (P<0.05). The area under the ROC curve (AUC) of serum PCT was 0.67 with the sensitivity of 0.55 and the specificity of 0.90 (95%CI 0.52 - 0.82). AUC of serum IL-6 was 0.72 with the sensitivity of 0.60 and the specificity of 0.95 (95%CI 0.58 - 0.85). AUC of serum sTREM-1 was 0.72 with the sensitivity of 0.75 and the specificity of 0.60 (95%CI 0.55 - 0.85). AUC of sTREM-1 in BALF was 0.92 with the sensitivity of 0.95 and the specificity of 0.70 (95%CI 0.79 - 0.98). The diagnostic accuracy of sTREM-1 in BALF was higher than that of PCT, IL-6 and sTREM-1 in serum (P<0.05).ConclusionssTREM-1 in BALF has good diagnostic performance in differentiating patients with infection of colonization for A. baumannii. Its sensitivity and specificity are higher than serum PCT, IL-6 and sTREM-1.
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.
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 analyze the pathogenic bacteria distribution, structure and characteristics of drug resistance in patients with acute stroke complicated with pulmonary infection, in order to provide reference for the prevention of hospital infection and rational use of antimicrobial agents.
MethodsA total of 864 clinical specimens of acute stroke complicated with pulmonary infection were chosen for study between January 2012 and December 2014. Separation and cultivation were done in accordance with the operation procedures regulated by the Ministry of Health. Drug sensitivity examination was done by Kirby-Bauer (k-b). Super-extensive spectrum β lactamase (ESBL) and methicillin resistant staphylococcus aureus (MRSA) were detected to analyze the bacterial species and resistance transition.
ResultsA total of 864 samples were cultivated, in which G-bacteria accounted for 61.2%. The main pathogenic bacteria was Klebsiella pneumoniae bacteria, Escherichia coli, Pseudomonas aeruginosa, Acinetobacter baumanmii and Staphylococcus aureus. Imipenem had high antimicrobial activity to G-bacilli, especially to Escherichia coli and Klebsiella pneumoniae bacteria. Linezolid, vancomycin and teicoplanin had high antibacterial activity to staphylococcus aureus. Vancomycin resistant Staphylococcus aureus was not found. Ciprofloxacin had high antibacterial activity to Pseudomonas aeruginosa, while imipenem had low antibacterial activity to Pseudomonas aeruginosa. Amikacin had high antibacterial activity to acinetobacter.
ConclusionG-bacilli are predominant in acute stroke complicated with pulmonary infection. ESBLs and MRSA detection rate is high, and we should pay attention to the rational use of antibiotics to reduce drug resistance.
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.
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.
