Plasma levels of procalcitonin and eight additional inflammatory molecules in febrile neutropenic patients

Diagnostic Potential of Serum Interleukin-6 in Predicting Bacteremia in Adult Patients with Sepsis: A Prospective Observational Study

Background

This study aimed to assess the potential of serum interleukin-6 (IL-6) as a diagnostic marker in predicting bacteremia and to determine its association with severity and outcome among sepsis patients.

Materials and methods

A prospective observational study was conducted, comprising a cohort of 118 patients admitted to the ICU with suspected sepsis from January 2019 to April 2020.

Results

Among the 108 patients analyzed, 60 (55.6%) were bacteremic and 48 (44.4%) were nonbacteremic. Of 60 patients with bacteremia, 13 (21.6%) had sepsis and 47 (78.3%) had septic shock. In predicting bacteremia, the area under the curve (AUC) for IL-6 was 0.512 [95% CI, 0.400-0.623]. The AUC for IL-6 in differentiating sepsis from septic shock was 0.724 [95% CI, 0.625-0.823]. The sensitivity and specificity for predicting bacteremia for IL-6 were 66% and 67%, respectively (p < 0.001). Multivariate analysis revealed that C-reactive protein (CRP) (p = 0.04) and APACHE II score (p = 0.025) were significant predictors of bacteremia, whereas lactate (p = 0.04), and APACHE II score (p < 0.001) were significant predictors of sepsis severity. Patients with elevated levels of procalcitonin PCT (p = 0.024), APACHE II (p = 0.003), and SOFA (p = 0.002) scores had significantly higher mortality rates.

Conclusion

C-reactive protein and APACHE II score, lactate and APACHE II score, and PCT, SOFA, and APACHE II scores performed better in predicting bacteremia, sepsis severity, and clinical outcome, respectively compared with IL-6.

How to cite this article

Reddy PRV, Cherukuri M, Eshwara VK, Kudru CU, Prabhu RVK. Diagnostic Potential of Serum Interleukin-6 in Predicting Bacteremia in Adult Patients with Sepsis: A Prospective Observational Study. Indian J Crit Care Med 2024;28(7):637-644.

Nanotechnology Approaches for Rapid Detection and Theranostics of Antimicrobial Resistant Bacterial Infections

As declared by WHO, antimicrobial resistance (AMR) is a high priority issue with a pressing need to develop impactful technologies to curb it. The rampant and inappropriate use of antibiotics due to the lack of adequate and timely diagnosis is a leading cause behind AMR evolution. Unfortunately, populations with poor economic status and those residing in densely populated areas are the most affected ones, frequently leading to emergence of AMR pathogens. Classical approaches for AMR diagnostics like phenotypic methods, biochemical assays, and molecular techniques are cumbersome and resource-intensive and involve a long turnaround time to yield confirmatory results. In contrast, recent emergence of nanotechnology-assisted approaches helps to overcome challenges in classical approaches and offer simpler, more sensitive, faster, and more affordable solutions for AMR diagnostics. Nanomaterial platforms (metallic, quantum-dot, carbon-based, upconversion, etc.), nanoparticle-based rapid point-of-care platforms, nano-biosensors (optical, mechanical, electrochemical), microfluidic-assisted devices, and importantly, nanotheranostic devices for diagnostics with treatment of AMR infections are examples of rapidly growing nanotechnology approaches used for AMR management. This review comprehensively summarizes the past 10 years of research progress on nanotechnology approaches for AMR diagnostics and for estimating antimicrobial susceptibility against commonly used antibiotics. This review also highlights several bottlenecks in nanotechnology approaches that need to be addressed prior to considering their translation to clinics.