BackgroundDistinguishing arboviral infections from bacterial causes of febrile illness is of great importance for clinical management. The Infection Manager System (IMS) is a novel diagnostic algorithm equipped on a Sysmex hematology analyzer that evaluates the host response using novel techniques that quantify cellular activation and cell membrane composition. The aim of this study was to train and validate the IMS to differentiate between arboviral and common bacterial infections in Southeast Asia and compare its performance against C-reactive protein (CRP) and procalcitonin (PCT).Methodology/Principal findings600 adult Indonesian patients with acute febrile illness were enrolled in a prospective cohort study and analyzed using a structured diagnostic protocol. The IMS was first trained on the first 200 patients and subsequently validated using the complete cohort. A definite infectious etiology could be determined in 190 of 463 evaluable patients (41%), including 89 arboviral infections (81 dengue and 8 chikungunya), 94 bacterial infections (26 murine typhus, 16 salmonellosis, 6 leptospirosis and 46 cosmopolitan bacterial infections), 3 concomitant arboviral-bacterial infections, and 4 malaria infections. The IMS detected inflammation in all but two participants. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of the IMS for arboviral infections were 69.7%, 97.9%, 96.9%, and 77.3%, respectively, and for bacterial infections 77.7%, 93.3%, 92.4%, and 79.8%. Inflammation remained unclassified in 19.1% and 22.5% of patients with a proven bacterial or arboviral infection. When cases of unclassified inflammation were grouped in the bacterial etiology group, the NPV for bacterial infection was 95.5%. IMS performed comparable to CRP and outperformed PCT in this cohort.Conclusions/SignificanceThe IMS is an automated, easy to use, novel diagnostic tool that allows rapid differentiation between common causes of febrile illness in Southeast Asia.
Purpose Coronavirus disease 2019 (COVID-19) is a new pandemic affecting the respiratory system and caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In addition to the increased use of antibiotics, the length of stay of hospitalized patients affects the risk of bacterial infections among the COVID-19 patients. However, this pandemic has interrupted antibiotic surveillance activity and led to an information gap about the prevalence and characteristics of bacterial infection. This study aims to describe the antibiotic resistance in COVID-19 patients with culture-proven bacterial infection using a laboratory-based surveillance approach. Patients and Methods A retrospective study with a cross-sectional design was conducted on adult patients that confirmed positive for COVID-19 according to the International Classification of Diseases 10th Revision (ICD-10). From March 2020 to October 2021, data were obtained from the hospital information system and merged with the culture and antibiotic susceptibility test from laboratory information system at Hasan Sadikin General Hospital. The outcome is the prevalence percentage of resistance to selected antibiotics in patients with COVID-19. The resistance percentage is considered high when equal to or more than 20%. Results There was 2786 adult patient confirmed for COVID-19 according to the ICD-10, and 26.3% (n = 733) of them submitted clinical specimen for culture. The prevalence of bacterial infection among COVID-19 patients was 16.4%, predominating Gram-negative bacteria (GNB). The respiratory specimen dominated the positive growth culture. The GNB were predominantly discovered among the respiratory and non-respiratory specimens. High range resistance to ampicillin-sulbactam (24–100%), ceftriaxone (22–81%), cefotaxime (22–73%) and ciprofloxacin (20–86%) are observed among the GNB. Conclusion There is high resistance to fluoroquinolone and cephalosporins in identified isolate, commonly used as the first-line empirical treatment for respiratory and non-respiratory infection in Indonesia. The continuous antibiotic surveillance is mandatory and crucial to prevent the long-term effects of the COVID-19 pandemic, particularly bacterial infection.
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