Infection and Drug Resistance最新文献

Purpose: The optimal strategy for detecting central nervous system infections (CNSI) in cerebrospinal fluid (CSF) samples remains unclear.

Methods: In a one-year, multicenter retrospective study, we examined the efficacy of metagenomic next-generation sequencing (mNGS) in comparison to conventional pathogen diagnostic techniques for CSF in diagnosing CNSI. We calculated the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and Youden index for each diagnostic approach. Additionally, receiver operating characteristic (ROC) curves were constructed, and the area under the curve (AUC) was determined to assess the diagnostic performance of each method.

Results: The study included 68 patients, comprising both adults and children, who were suspected of having CNSI. Through the application of comprehensive clinical interpretation (CCI), the sensitivity and specificity of mNGS were found to be 67.6% (95% confidence interval [CI]: 50.85-80.87%) and 45.8% (95% CI: 27.89-64.92%), respectively. In comparison, traditional pathogenic diagnostic methods indicated that the culture method demonstrated a sensitivity of 10.6% (95% CI: 4.63-22.6%) and a specificity of 100% (95% CI: 84.54-100%). Furthermore, the sensitivity and specificity of the peripheral blood nucleated cell count were determined to be 34.0% (95% confidence interval: 22.17-48.33%) and 57.1% (95% confidence interval: 36.54-75.53%), respectively. CSF nucleated cell count demonstrated a sensitivity of 66.0% (95% confidence interval [CI]: 51.67-77.83%) and a specificity of 61.9% (95% CI: 40.87-79.25%). In comparison, the CSF protein content exhibited a sensitivity of 63.8% (95% CI: 49.54-76.03%) and a specificity of 57.1% (95% CI: 36.54-75.53%). When combining mNGS with traditional methodologies, the overall sensitivity increased to 91.3% (95% CI: 79.67-96.56%), although the specificity was reduced to 18.2% (95% CI: 7.31-38.51%). The area under the ROC curve for culture, peripheral blood nucleated cell count, mNGS, CSF nucleated cell count, and CSF protein content were 0.8088, 0.6038, 0.6103, 0.5588, and 0.5588, respectively. The variation in CSF nucleated cell count did not significantly affect the diagnostic efficacy of mNGS.

Conclusion: Currently, both mNGS and traditional diagnostic methods encounter substantial challenges in diagnosing CNSI.

Aim: To express the clinical characteristics of patients with post-neurosurgical meningitis (PNM) and launch a survival analysis to screen mortality predictors.

Methods: A cohort analysis containing more than 70000 patients was evaluated, and all of them received neurosurgical procedure. Clinical and microbial epidemiology, therapy and mortality of PNM patients were reviewed. Multi-variable Cox proportional hazard models were applied to achieve survival analysis.

Results: About 900 PNM patients from 3244 cases were selected for characteristics and survival analysis, the mean age of them was 41 (27-54) years, 516 (57.3%) were men and 384 (42.7%) were women. The 28-day mortality was 12.4% (112 of 900) in patients with PNM. Hypertension, external ventricular drainage (EVD), and lumbar drainage (LD) are mortality predictors for PNM, with a hazard ratio (HR) of 2.641 (95% C.I. 1.563-4.464, P<0.001), 2.196 (95% C.I. 1.317-3.662, P=0.003), and 1.818 (95% C.I. 1.126-2.936, P=0.014). In treatment, the outcome of patients receiving three or more antibiotic combinations is better than that of patients receiving dual-drug combinations.

Conclusion: The mortality of patients with PNM was relatively high, and the risk factors related to 28-days mortality were hypertension, EVD and LD and treatment with three or more antibiotics are much better.

Purpose: The detection of pathogenic microorganisms plays a significant role in the diagnosis and management of pneumonia that are responsible for a substantial number of deaths worldwide. However, conventional microbiological tests (CMT) have low accuracy and are time-consuming. In this study, we aim to evaluate the clinical value of Chips for Complicated Infection Detection (CCID) in detecting pneumonia pathogens.

Patients and methods: This study was conducted at nine hospitals in China from January 2021 to September 2022. Respiratory samples from adult pneumonia patients were collected from each patient. CMT and CCID were performed in parallel to identify the pathogens.

Results: A total of 245 patients were included, with 73% being elderly. CCID identified pathogenic microbes in 78.0% of patients and conventional microbiological tests (CMT) in 57.1% of the patients (p<0.001). The overall positive and negative percent agreements between CCID and CMT for pathogen detection were 90.07% and 38.46%, respectively. 38.8% of patients were diagnosed with mixed infections with at least two pathogens by CCID. Bacterial infections identified by CCID accounted for 60.0% of 245 patients, with the top 3 being Pseudomonas aeruginosa, Klebsiella pneumoniae, and Enterococcus faecium, respectively. K. pneumoniae was the most common pathogen in elderly patients, with a significantly higher prevalence compared to non-elderly patients (p = 0.0011). Among the 197 patients who had used antibiotics before sample collection, the positive rate of CCID was significantly higher than that of CMT (p < 0.001).

Conclusion: This study indicates that compared to CMT, this novel chip has significant advantages in detecting pathogens in pneumonia patients, especially in the elderly.

Purpose: Our aim was to determine the risk factors for multidrug resistance in patients with carbapenem-resistant Klebsiella pneumoniae (CRKP).

Methods: The information of 196 patients with Klebsiella pneumoniae infection was collected. The patients were subsequently assigned to the carbapenem-resistant, multidrug-resistant, and non-multidrug-resistant groups. The risk factors for multidrug resistance in CRKP patients were assessed via least absolute shrinkage and selection operator and logistic regression analyses. Moreover, a nomogram was constructed dependent on the identified risk factors, and calibration and decision curves were plotted to detect its accuracy.

Results: Length of stay (LOS) [odds ratio (OR) and 95% confidence interval (CI): 4.558 (1.157-17.961), P = 0.030], intensive care unit (ICU) stay within 30 days [OR and 95% CI: 12.643 (3.780-42.293), P < 0.001], Glasgow Coma Scale (GCS) score [OR and 95% CI: 13.569 (2.738-67.236), P = 0.001], fungal infection [OR and 95% CI: 6.398 (1.969-20.785), P = 0.002], and cardiovascular disease (CVD) [OR and 95% CI: 3.871 (1.293-11.592), P = 0.016] were identified as risk factors for multidrug resistance in CRKP patients. The concordance index (C-index) of the constructed nomogram was 0.950 (95% CI: 0.945-0.955). Moreover, decision curve analysis elucidated the nomogram utilization across a wide range of probability thresholds, ranging from 1% to 100%. Finally, internal validation using random data validated the robustness of the predictive model, yielding a C-index of 0.937.

Conclusion: The LOS, ICU stay within 30 days, GCS score, fungal infection, and CVD were recognized as risk factors for multidrug resistance in CRKP patients. The constructed nomogram could accurately predict multidrug-resistant CRKP infections in patients.

Elizabethkingia anophelis is an opportunistic pathogen that causes serious life-threatening infections. In this report, we describe a case of pulmonary infection caused by E. anophelis in a young female patient, following cardiac surgery, which was successfully treated with a combination of trimethoprim-sulfamethoxazole (TMP-SMZ) and eravacycline. Additionally, this report provides a summary of high-risk factors for E. anophelis infection, clinical manifestations, and therapeutic options. Given the high degree of antimicrobial drug resistance of the organism and the fact that inappropriate empirical antimicrobial therapy constitutes a risk factor for mortality, our case serves as a valuable reference for similar cases, highlighting potential strategies for effective management.

Background: Carbapenem-resistant Enterobacteriaceae (CRE) is rapidly becoming a major threat to hospitalized children worldwide. The purpose of this study was to summarize etiological characteristics and identify risk factors relevant to CRE bloodstream infection (BSI) and short-term mortality among pediatric patients in China.

Methods: In this study, we included 370 inpatients ≤17 years old with BSI caused by Enterobacteriaceae in China from January 2013 to December 2022. By collecting data on demographics, etiological features, and clinical outcomes, we conducted an in-depth analysis.

Results: Among the 370 BSI patients with infections caused by Enterobacteriaceae, 35 patients (9.46%) were caused by CRE. Among these CRE strains, Klebsiella pneumoniae (49.46%) was the most important pathogen of BSI in pediatric patients, followed by Escherichia coli (31.62%) and Enterobacter cloacae (5.95%). The most frequent carbapenemase was NDM (23/35, 65.71%), followed by KPC (8/35, 22.86%). The overall 28-day mortality rate of children with an Enterobacteriaceae BSI episode was 1.89% (7/370), of which CRE BSI patients (3/35, 8.57%) were significantly higher than CSE patients (4/335, 1.19%, P < 0.001). Congenital malformation (OR: 8.162, 95% CI: 3.859-16.680, P < 0.001) and catheter-related (OR: 6.645, 95% CI: 3.159-13.28, P: <0.001) were associated with the development of CRE BSI in pediatric patients. A multivariate analysis showed that the infection of CRE (OR 7.758, 95% CI 1.869-29.62, P = 0.021) were independent risk factors for 28-day mortality of Enterobacteriaceae BSI. When the MIC of any carbapenems was ≥8 μg/mL, the mortality rate in the ICU was higher (P < 0.05).

Conclusion: Congenital malformation, previous cephalosporin/carbapenems administration, and catheter-related conditions were closely related to the development of CRE BSI. The mortality rate of CRE BSI was higher. NDM was the predominant carbapenemase-producing mechanism in children.

Objective: To analyze the clinical characteristics, species distribution and drug resistance of patients with non-tuberculous mycobacteria (NTM) lung disease in Qingdao, China.

Methods: Clinical data of patients with NTM lung disease and pulmonary tuberculosis (TB) treated at Qingdao Chest Hospital from July 2021 to July 2023 were retrospectively analyzed.

Results: The prevalence of NTM lung disease was 8.03%, with a high rate of drug resistance during the study period. Patients with NTM lung disease had higher rates of older age, bronchiectasis, malignancy, HIV infection and bronchial dilatation shadow and lower rates of hollow shadow compared to patients with pulmonary TB.

Conclusion: Comprehensive understanding of NTM lung disease, improved laboratory testing techniques and appropriate treatment regimens are essential for the management of NTM lung disease.

Background: The emergence and progression of highly divergent SARS-CoV-2 variants have posed increased risks to global public health, triggering the significant impacts on countermeasures since 2020. However, in addition to vaccination, the effectiveness of non-pharmaceutical interventions, such as social distancing, masking, or hand washing, on different variants of concern (VOC) remains largely unknown.

Objective: This study provides a mechanistic approach by implementing a control measure model and a risk assessment framework to quantify the impacts of control measure combinations on the transmissions of five VOC (Alpha, Beta, Delta, Gamma, and Omicron), along with a different perspective of risk assessment application.

Materials and methods: We applied uncontrollable ratios as an indicator by adopting basic reproduction number (R ₀) data collected from a regional-scale survey. A risk assessment strategy was established by constructing VOC-specific dose-response profiles to implicate practical uses in risk characterization when exposure data are available.

Results: We found that social distancing alone was ineffective without vaccination in almost all countries and VOC when the median R ₀ was greater than two. Our results indicated that Omicron could not be contained, even when all control measure combinations were applied, due to its low threshold of infectivity (~3×10^-4 plague-forming unit (PFU) mL^-1).

Conclusion: To facilitate better decision-making in future interventions, we provide a comprehensive evaluation of how combined control measures impact on different countries and various VOC. Our findings indicate the potential application of threshold estimates of infectivity in the context of risk communication and policymaking for controlling future emerging SARS-CoV-2 variant infections.

This study presents a case of Talaromyces marneffei combined with Enterococcus faecium bloodstream infection with gastrointestinal symptoms as the sole initial clinical manifestation.The patient is a resident of Shanghai and has no recent travel history to areas with a high risk of T. marneffei infection. He was admitted to the emergency room due to severe upper abdominal pain. Laboratory tests indicated elevated levels of white blood cells, rapid C-reactive protein, and procalcitonin, while the human immunodeficiency virus (HIV) test returned negative. An abdominal CT examination revealed gas and fluid accumulation in the abdominal cavity, raising suspicion for gastrointestinal perforation and peritonitis. Initially, he received symptomatic treatment for gastrointestinal perforation and abdominal infection, but his response to the treatment was poor.Through metagenomic next-generation sequencing (mNGS) and multiple blood cultures, a mixed infection of T. marneffei and E. faecium was identified in the patient's blood. Combination treatment with vancomycin and amphotericin B was initiated to manage the symptoms. However, we discovered genome-wide exon CARD9 mutations in the patient, complicating the treatment process. Ultimately, the delayed diagnosis of T. marneffei resulted in the patient's severe deterioration, rendering the anti-infective treatment ineffective, and leading to the patient's death.This report underscores the challenges associated with diagnosing T. marneffei infections in non-AIDS patients and in non-endemic regions. The diagnosis of disseminated infections poses significant difficulties, particularly when mixed infections are present, complicating clinical treatment. This highlights the critical importance of standardized blood cultures for the early diagnosis of T. marneffei. Additionally, we must prioritize timely whole-genome testing to identify potential immune gene mutations.

Purpose: Latent tuberculosis infection (LTBI) is a critical stage in tuberculosis (TB)control, and few studies have addressed the role of vitamin D receptor(VDR) gene polymorphisms in differentiating between TB and late-onset TB from an immunogenetic perspective.

Patients and methods: Recruitment of tuberculosis patients and latently infected population in Urumqi, Xinjiang, and use of propensity score matching(PSM) to match the two groups and control confounding to further construct a Bayesian network to analyze causal associations between VDR polymorphisms and tuberculosis disease status.

Results: 137 LTBI and 237 TB were obtained through PSM. Logistic regression showed that the VDR gene BsmI locus, TaqI locus, and ApaI locus were associated with a higher risk of TB in a codominant model (P<0.05). Further Bayesian network construction showed that occupation and being a VDR gene BsmI locus were direct influences on TB disease status, and the VDR gene TaqI locus played an indirect role through the BsmI locus, and the probability of TB risk was highest in individuals with manual labour and BsmI locus of the C/T type, which was 84.15%.

Conclusion: Bayesian network modelling intuitively revealed that individuals with a C/T type of BsmI locus and physical labour are at high risk of TB compared with TB infection, and they are key factors between with TB disease, providing reference evidence for controlling TB progression.