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Objective: The epidemiology of invasive non-typhoidal Salmonella (iNTS) in the Philippines is not well elaborated. The present study describes the serotype distribution and antimicrobial susceptibility patterns of iNTS in the Philippines from 2014 to 2018., Methods: Invasive NTS isolates were collected through the Department of Health's Antimicrobial Resistance Surveillance Program (ARSP). The identification of the isolates was confirmed using automated (Vitek®, bioMérieux, Marcy l'Étoile, France) and conventional methods. The isolates were serotyped using the slide agglutination method, and susceptibility testing was performed using Clinical and Laboratory Standards Institute guidelines. Demographic data were collected from the ARSP database., Results: There were 138 isolates collected from human invasive specimens with 97.8% from blood samples. The most common serotypes were Salmonella Enteritidis ( n  = 84, 60.9%) and Salmonella Typhimurium ( n  = 18, 13.0%). Most of the isolates were from males ( n  = 88, 63.8%) and from the 0-5-year age group ( n  = 61, 44.2%). The proportions of iNTS isolates resistant to first-line antibiotics were as follows: ampicillin (23.2%), chloramphenicol (9.6%), ciprofloxacin (8.7%), ceftriaxone (2.2%) and trimethoprim-sulfamethoxazole (8.8%). The proportion of isolates with multidrug resistance was 13.0% (18/138) with the most common resistance profile being resistance to ampicillin-chloramphenicol-ciprofloxacin from Salmonella Enteritidis isolates ( n  = 5)., Discussion: Resistance to first-line antibiotics limits the therapeutic choices for Salmonella infection. Relevant local antimicrobial resistance data on iNTS may support appropriate empiric therapy among vulnerable populations., Competing Interests: The authors have no conflicts of interest to declare., ((c) 2023 The authors; licensee World Health Organization.)

Problem: Operation of the Philippine Antimicrobial Resistance Surveillance Program (ARSP) has been affected by the coronavirus disease 2019 (COVID-19) pandemic, during which time difficulties in maintaining laboratory functions, staffing levels and participation were reported., Context: The COVID-19 pandemic has increased pressure on most health systems and programmes in the Philippines, including ARSP. As ARSP is the source of national data on antimicrobial resistance (AMR) trends, there are concerns that the negative effects of the pandemic may have impacted the quality of data produced., Action: We describe disruptions to laboratory operations, personnel availability and participation in ARSP surveillance, and their impact on reported data for 2020., Outcome: Surveillance operations were challenged by reallocation of human, infrastructure and financial resources for pandemic response among both the sentinel sites and the coordinating laboratory, the Antimicrobial Resistance Surveillance Reference Laboratory. There was a decrease in the amount of data submitted to the surveillance system, as well as in the number of isolates sent to the reference laboratory for confirmation of bacterial identification and antimicrobial susceptibility testing. Nevertheless, overall performance scores of the sentinel sites for most parameters were comparable to 2019, the year before the pandemic., Discussion: The impact of operational changes to ARSP due to the pandemic needs to be considered when analysing AMR surveillance data from 2020. Automation of data submission, good working relationships between the coordinating laboratory and sentinel sites, and supply chain system strengthening were identified as key to maintaining AMR surveillance during the COVID-19 pandemic., ((c) 2022 The authors; licensee World Health Organization.)

National networks of laboratory-based surveillance of antimicrobial resistance (AMR) monitor resistance trends and disseminate these data to AMR stakeholders. Whole-genome sequencing (WGS) can support surveillance by pinpointing resistance mechanisms and uncovering transmission patterns. However, genomic surveillance is rare in low- and middle-income countries. Here, we implement WGS within the established Antimicrobial Resistance Surveillance Program of the Philippines via a binational collaboration. In parallel, we characterize bacterial populations of key bug-drug combinations via a retrospective sequencing survey. By linking the resistance phenotypes to genomic data, we reveal the interplay of genetic lineages (strains), AMR mechanisms, and AMR vehicles underlying the expansion of specific resistance phenotypes that coincide with the growing carbapenem resistance rates observed since 2010. Our results enhance our understanding of the drivers of carbapenem resistance in the Philippines, while also serving as the genetic background to contextualize ongoing local prospective surveillance.