Objective To investigate clinical diagnosis，timing of surgery and perioperative therapeutic strategies for blood culture-negative infective endocarditis （IE）. Methods Clinical data of 240 IE patients who were admitted tWuhan Asia Heart Hospital between July 2008 and July 2012 were retrospectively analyzed. According to their blood cultureresults，all the patients were divided into blood culture-negative group and blood culture-positive group. In the blood culture-negative group，there were 158 patients including 88 male and 70 female patients with their age of 51.3±10.1 years. In the blood culture-positive group，there were 82 patients including 45 male and 37 female patients with their age of 48.9±9.8 years. All the patients underwent surgical treatment，and the surgical procedures included complete vegetations excision，debridement of infected valves，removal of necrotic tissue around the annulus，and concomitant heart valve replacement or intracardiac repair. Postoperatively，all the patients received routine monitoring in ICU，cardiac glycosides，diuretics，other symptomatic treatment and adequate dosages of antibiotics for 4-6 weeks. Results Four patients died postoperatively in this study including 1 patient for low cardiac output syndrome and 3 patients for multiple organ dysfunction syndrome，1 patient in the blood culture-positive group and 3 patients in the blood culture-negative group respectively. There was no statistical difference in surgical mortality between the 2 groups （χ2=0.15，P=0.70）. All the other patients were discharged successfully and followed up for 6 to 36 months with the median follow-up time of 22 months. During follow-up, 2 patients died including 1 patient for cerebral infarction 2 years after surgery and another patient for cerebral hemorrhage 3 yearsafter surgery. Conclusion Patients with blood culture-negative IE should receive adequate dosage and duration of broad-spectrum antibiotics to control the infection rapidly, and aggressive surgical therapy to decrease in-hospital mortality and improve their quality of life and prognosis.
ObjectiveTo analyze the prognostic factors of patients with bacterial bloodstream infection sepsis and to identify independent risk factors related to death, so as to potentially develop one predictive model for clinical practice. Method A non-intervention retrospective study was carried out. The relative data of adult sepsis patients with positive bacterial blood culture (including central venous catheter tip culture) within 48 hours after admission were collected from the electronic medical database of the First Affiliated Hospital of Dalian Medical University from January 1, 2018 to December 31, 2019, including demographic characters, vital signs, laboratory data, etc. The patients were divided into a survival group and a death group according to in-hospital outcome. The risk factors were analyzed and the prediction model was established by means of multi-factor logistics regression. The discriminatory ability of the model was shown by area under the receiver operating characteristic curve (AUC). The visualization of the predictive model was drawn by nomogram and the model was also verified by internal validation methods with R language. Results A total of 1189 patients were retrieved, and 563 qualified patients were included in the study, including 398 in the survival group and 165 in the death group. Except gender and pathogen type, other indicators yielded statistical differences in single factor comparison between the survival group and the death group. Independent risk factors included in the logistic regression prediction model were: age [P=0.000, 95% confidence interval (CI) 0.949 - 0.982], heart rate (P=0.000, 95%CI 0.966 - 0.987), platelet count (P=0.009, 95%CI 1.001 - 1.006), fibrinogen (P=0.036, 95%CI 1.010 - 1.325), serum potassium ion (P=0.005, 95%CI 0.426 - 0.861), serum chloride ion (P=0.054, 95%CI 0.939 - 1.001), aspartate aminotransferase (P=0.03, 95%CI 0.996 - 1.000), serum globulin (P=0.025, 95%CI 1.006 - 1.086), and mean arterial pressure (P=0.250, 95%CI 0.995 - 1.021). The AUC of the prediction model was 0.779 (95%CI 0.737 - 0.821). The prediction efficiency of the total score of the model's nomogram was good in the 210 - 320 interval, and mean absolute error was 0.011, mean squared error was 0.00018. Conclusions The basic vital signs within 48 h admitting into hospital, as well those homeostasis disordering index indicated by coagulation, liver and renal dysfunction are highly correlated with the prognosis of septic patients with bacterial bloodstream infection. Early warning should be set in order to achieve early detection and rescue patients’ lives.
ObjectiveTo investigate the distribution of bacteria detected from blood culture of pediatric patients and to observe the blood culture contamination rate. MethodsA total of 6 530 blood samples, collected from January 2011 to December 2012 were detected by BacT/Alert 3D automated blood culture system. We found out the contamination bacteria according to clinical data, laboratory data and microbiology knowledge. ResultsA total of 314 bacteria strains were isolated from 6 530 blood samples, and the positive rate was 4.8%, 228 of which were gram-positive bacteria. The isolates were mainly coagulase-negative staphylococci (43.9%), followed by Staphylococcus aureus (2.9%). In addition, 86 cases were gram-negative bacteria, the majority of which were Escherichia coli (9.6%), followed by Klebsiella pneumonia (8.3%). The overall blood culture contamination rate was 49.7% (156 bacteria were identified). The top two were coagulase-negative staphylococci (31.2%), followed by Bacillus sp. (6.4%). ConclusionThe contamination rate is high in children's blood culture, and coagulase-negative staphylococci are the main bacteria. It's necessary to use clinical data and laboratory data to determine its clinical significance, and avoid unnecessary use of antibiotics.
Objective To evaluate the basic performance and clinical application value of nanopore sequencing, in order to provide new ideas for the rapid detection of clinical etiology. Methods From December 2021 to May 2022, blood samples from inpatients suspected of bloodstream infection in Renmin Hospital of Wuhan University were collected, and the nanopore sequencing platform and blood culture method were used to simultaneously identify the pathogenic bacteria in the blood samples of the selected patients, and identify the pathogenic bacteria in the blood samples of the selected patients. The basic performance and clinical utility of nanopore sequencing were evaluated. Results A total of 251 patients were included, and 119 patients (47.4%) were found to have pathogens by nanopore sequencing, which was higher than that of 23 patients (9.2%) by blood culture (χ2=79.167, P<0.001). The results of the two methods are not consistent (kappa=0.052, P=0.175). Nanopore sequencing has a certain missed detection rate. In terms of the types of pathogenic bacteria detected, 47 bacteria and 15 fungi were detected by nanopore sequencing. Conclusion Compared with blood culture, nanopore sequencing has a higher detection rate and more types of pathogens. This technology has obvious advantages in the rapid diagnosis of bloodstream infection pathogens.
ObjectiveTo improve the knowledge of pulmonary actinomycosis. MethodsOne case of pulmonary actinomycosis with positive blood culture diagnosed on December 2013 in North Huashan Hospital was analyzed,and related literature from CNKI and Medline after 1990 were reviewed. ResultsA 57-year-old male had recurrent fever for 24 days.Chest CT showed pneumonia in the right middle lobe.Actinomyce culture was twice positive by anaerobic blood culture.The patient's temperature was normal after large doses of penicillin and doxycycline therapy.Literature review revealed that the incidence of pulmonary actinomycesis is common in males.Poor oral hygiene is the main predisposing factors.The common clinical presentations include cough,sputum production,chest pain and hemoptysis.The peripherally progressive enhancement on CT has a certain diagnostic value for pulmonary actinomycosis.Pulmonary actinomycosis can increase FDG uptake on 18F-FDG PET scan and can mimic lung cancer.Accurate diagnosis is generally made by histopathological examination of lung biopsy or surgical samples.High-dose intravenous penicillin therapy is preferred for pulmonary actinomycosis followed by prolonged oral antibiotics for 6 to 12 months.Surgical intervention may be necessary for refractory hemoptysis or patients who do not respond to antibiotic therapy. ConclusionPulmonary actinomycosis is a rare disease.Symptoms of pulmonary actinomycosis are atypical.This patient is the first reported case of actinomyces with positive blood cultures.
Objective To investigate the species distribution and antibiotic resistance of pathogens fromcatheter-related bloodstream infections ( CRBSI) in intensive care unit( ICU) , to provide evidence for the guidance of clinical rational administration.Methods A retrospective analysis was performed to review the microbiological and susceptibility test data of all CRBSI patients in ICU from January 2009 to December 2011. The patterns of antibiotic resistance among the top seven bacteria were compared. Results 67 cases of CRBSI were detected with 81 strains, including 40 Gram-positive ( G+ ) bacteria( 49.4% ) , 38 Gram-negative( G- ) bacteria ( 46.9% ) , and 3 fungi ( 3.7% ) . The main pathogens causing CRBSI were coagulase negative Staphylococci ( 27 strains, 33.3%) , Acinetobacter baumannii ( 12 strains, 14.8% ) , Klebsiella pneumoniae( 9 strains, 11. 1% ) , Staphylococcus aureus ( 8 strains, 9. 9% ) , Pseudomonas aeruginosa ( 7 strains, 8. 6% ) , Escherichia coli ( 6 strains, 7.4% ) , suggesting that Staphylococcus epidermidis was predominant pathogenic G+ bacteria, and Acinetobacter baumannii was predominant G- bacteria. The antibiotic resistance tests demonstrated that isolated G- bacillus was highly sensitive to carbopenem, while vancomycin-resistant G+ bacteria were not found. Conclusions Within the latest 3 years, the predominant pathogens of CRBSI in ICU are Staphylococcus epidermidis and Acinetobacter baumannii. Acinetobacter baumannii exhibited high drug resistance to all antibiotics.
Objective To explore the pathogen distribution and the characteristics of antibiotics use of patients with positive bile culture in order to provide evidence for appropriate antibiotic use. Methods Using a patient-based approach, the clinical and laboratory data of patients with positive bile culture between December 1st 2016 and November 30th 2017 were retrospectively analyzed. The pathogen distribution and antibiotics use of patients with bililary duct infections and colonizations were analyzed. Multidrug-resistant organism infections of patients with bililary duct infections were studied. Results There were 299 submitted bililary samples and in which 158 were culture-positive (52.8%). One hundred and ten strains of pathogens were found in 79 patients with positive bile culture, including 66 strains of Gram-negative (G–) organisms (60.0%), 37 strains of Gram-positive (G+) organisms (33.6%), and 7 strains of fungi (6.4%). The top three G– organisms were Escherichia coli (25 strains, 22.7%), Klebsiella pneumoniae (9 strains, 8.2%), and Acinetobacter baumanii (7 strains, 6.4%). The top three G+ organisms were Enterococcus faecium (10 strains, 9.1%), Enterococcus faecalis (6 strains, 5.5%), and coagulase negativeStaphylococcus (6 strains, 5.5%). The number of patients with bililary duct infections and colonizations were 42 and 37, respectively, with pathogens occupied mainly by G– bacteria. Ten strains of multidrug-resistant organisms were isolated from patients with bililary duct infections. Compared to patients with non-multidrug-resistant organism infections, the length of antibiotics use was longer in patients with multidrug- resistant organism infections (t=2.129, P=0.039). The rate of target therapy for antibiotics in patients with bililary duct infections was 76.2%. The rate of proper antibiotics use was 16.2% before positive bile culture and 78.4% after positive bile culture in patients with bililary duct colonizations. Conclusions Pathogens isolated from bile culture of infection and colonization are predominantly G– organisms. The bile culture and blood culture should be done for patients with suspected bililary duct infection. Infection and colonization should be distinguished for positive bile culture and antibiotic should be chosen according to drug susceptibility test results.