A score for predicting invasive pulmonary aspergillosis in immunocompetent critically ill patients

BACKGROUND

Delayed treatment leads to increased mortality in critically ill patients with invasive pulmonary aspergillosis (IPA). We aimed to develop and validate a prediction score based on novel biomarkers and clinical risk factors to identify IPA in immunocompetent patients in the intensive care unit (ICU).

METHODS

A retrospective study was conducted to collect medical information and novel biomarkers upon ICU admission. Risk factors adopted for the final prediction score were identified using multivariate logistic regression analysis.

RESULTS

We retrospectively collected 1841 critical ill patients between January 2018 and August 2022. Patients with IPA had higher C-reactive protein-to-albumin ratio (CAR), neutrophil-to-lymphocyte ratio, systemic immune-inflammation index and lower prognostic nutritional index (PNI). Chronic obstructive pulmonary disease (COPD), continuous renal replacement therapy (CRRT), high dose of corticosteroids, broad-spectrum antibiotics, blood galactomannan (GM) positivity and high CAR were independent risk factors for IPA and were entered into the final prediction score. The score had good discrimination, with the area under receiver operating characteristic curve of 0.816 and 0.780 for the training and validation cohorts, respectively, and good calibration.

CONCLUSION

A score based on six clinical and novel immunological biomarkers showed promising predictive value for antifungal treatment in immunocompetent ICU patients.

Comparison of clinical, laboratory and radiological characteristics between COVID-19 and Chlamydia psittaci pneumonia: a multicenter retrospective study

Chlamydia psittaci pneumonia (CPP) exhibits similar characteristics as of COVID-19 with respect to clustering outbreaks and onset symptoms. This study is aimed at exploring the different clinical manifestations of both pneumonias to establish a simple nomogram to distinguish them. This multicenter, retrospective, case-control study compared two independent cohorts of patients with CPP or COVID-19. The risk factors of CPP were analyzed using multivariate logistic regression, which was used to establish the nomogram. Both patients with CPP and COVID-19 exhibited similar clinical symptoms. As compared to patients with COVID-19, a higher proportion of patients with CPP had nervous system symptoms. Patients with CPP had higher inflammatory indicators, creatine kinase, and lower lymphocyte and albumin. They also had lower proportions of ground-glass opacity and bilateral lung involvement than COVID-19 patients. Furthermore, patients with CPP had higher 30 day mortality as well as higher rates of severe pneumonia, septic shock, and ICU admission. Multivariate logistic regression showed that nervous system symptoms, lymphocytes, creatine kinase, bilateral lung lesions, and ground-glass opacity were risk factors for CPP. Incorporating these five factors, the nomogram achieved good concordance index of 0.989 in differentiating CPP from COVID-19, and had well-fitted calibration curves. Despite similar clinical characteristics, nervous system symptoms, lymphocyte, creatine kinase, lesions in bilateral lungs, and ground-glass opacity may help in differentiating the pneumonias. These were combined into a clinically useful nomogram for rapid and early identification of CPP to avoid misdiagnosis and help in the decision-making process.

Next-generation sequencing guides the treatment of severe community-acquired pneumonia with empiric antimicrobial therapy failure: A propensity-score-matched study

BACKGROUND

Next-generation sequencing (NGS) is a promising diagnostic tool for pathogens diagnosis. The aim of this study is to evaluate the application of NGS-based antimicrobial therapy on clinical outcomes in severe community-acquired pneumonia (SCAP) patients with empiric antimicrobial therapy failure.

METHODOLOGY

We performed a multi-center, retrospective cohort of SCAP patients with initial empiric therapy failure. Propensity score (PS) matching was used to obtain balance among the baseline variables in NGS group (n = 82) and conventional group (n = 82). We compared the diagnostic performance of NGS with conventional microbial culture. We also compared the impact of NGS-based antimicrobial therapy on the prognosis of patients with empirical antimicrobial therapy failure.

RESULTS

The positive rate of NGS was higher than that of conventional pathogen detection methods (92.6% vs. 74.7%, P = 0.001). Compared to the conventional group, the NGS group has a considerably higher modifications rate of antibiotic treatment (73.2% vs. 54.9%, P = 0.015). The mortality of NGS group was significantly lower than that of conventional group (28.0% vs. 43.9%, P = 0.034). Moreover, the detection of NGS can significantly shorten the ventilation time (P = 0.046), and reduce the antibiotic cost (P = 0.026).

CONCLUSIONS

NGS is a valuable tool for microbial identification of SCAP patient with initial empiric therapy failure.