Journal of Clinical Virology Plus

Background: Lung cancer is leading cause of cancer related death globally. It is second most prevalent cancer among women worldwide and ranks third among females in Nepal. Contributing factors are smoking, tobacco use, air pollution, and delayed diagnosis. Image-guided fine needle aspiration cytology (FNAC) is rapid diagnostic technique for evaluating lung lesions. It is minimally invasive procedure with less complications. This study examine histocytologic makeup of lung lesions and link the results. Materials and Methods: This cross-sectional observational study included 65 patients irrespective of age and sex presenting with lung masses at Chitwan Medical College and Teaching Hospital from April 2023 to September 2024. After clinical and radiologic evaluation, all cases underwent image-guided FNAC and biopsy. Only specimens with unequivocal malignant features were classified positive. Histopathology served as diagnostic reference standard. Results: FNAC diagnosed 90.8% as malignant and 9.2% as benign. Biopsy confirmed malignancy in 92.3% of cases. FNAC demonstrated a sensitivity of 98.33%, specificity of 100%, positive predictive value(PPV) of 100%, and negative predictive value (NPV) of 83.33%. Concordance between FNAC and histopathological subtyping was 98.46%. Adenocarcinoma was most common subtype, followed by Squamous cell carcinoma(SCC) and small cell carcinoma. Smoking was most common contributing factor associated with malignancy. Conclusion and implications: Image-guided FNAC is an excellent diagnostic accuracy tool which possess higher level of concordance with biopsy in evaluating lung masses. It should be considered as frontline diagnostic tool, especially in resource limited settings. Keywords: FNAC, Lung cancer, Biopsy, SCC, Adenocarcinoma, Small cell carcinoma, Nepal

The increasing incidence of H5N1 influenza virus transmission from animal species to humans has heightened concerns about an imminent H5N1 pandemic. Prior studies using recombinant hemagglutinin and neuraminidase proteins have reported age-dependent cross-reactivity to H5N1, attributed to immune imprinting from an individual's first influenza virus exposure. However, whether this pattern holds when using whole inactivated virus (WIV), capturing antibodies against diverse viral proteins, and is stable over time remains unknown. We therefore aimed to determine whether H5N1 cross-reactivity of pre-existing antibodies to whole virus follows an age-dependent or imprinting-specific pattern, and whether this pattern is stable over a five-year period. To this end, we measured serum antibody levels in adolescents, adults and seniors by ELISA using whole inactivated H5N1 virus as antigen rather than purified proteins. Detectable, albeit generally low, levels of H5N1-reactive antibodies were present in most individuals, irrespective of age. Comparison of antibody levels against H5N1 with those to five historical influenza virus strains revealed a consistent positive correlation between H5N1-reactive antibodies and responses to the H1N1pdm09 strain A/California/7/2009 (CA), across all age groups. Using unbiased clustering of antibody titers against H5N1, CA, and the H3N2 strain A/Perth/16/2009 (PE), we identified seven distinct age-transcending antibody profiles. These profiles covered individuals with varying titers to all three included viruses but also identified individuals with high anti-CA levels, yet low anti-H5N1 levels and vice versa. Moreover, despite stable antibody levels over a five-year interval in the study population, individual antibody levels and profiles fluctuated considerably over this period. Taken together, our results confirm the presence of H5N1-reactive antibodies in human sera and their association with previously circulating strains. However, they also caution against inferring antibody levels against a new strain based solely on responses to antigenically related strains and highlight the limitations of extrapolating immune status from single timepoint measurements.

Background. Direct livestock exposure is a risk factor for zoonotic influenza, including H5N1 highly pathogenic avian influenza (HPAI) A virus. But whether living in regions of high poultry and swine production intensity (PPI, SPI) increases risk of exposure to zoonotic influenza viruses independent of occupational livestock contact remains unclear. Objectives. To determine whether livestock workers and community members with no occupational livestock exposure in North Carolina, where poultry and swine production are increasingly co-located, are at higher risk of exposure to zoonotic influenza. Methods. Saliva samples from industrial livestock operation worker (ILO-W), ILO neighbor (ILO-N) and metropolitan area (Metro) households were analyzed for mucosal influenza A (H5N1, H1N1, and H3N2) hemagglutinin (HA) IgA and IgG antibodies to determine associations of PPI, SPI, exposure group, and detection of a swine-specific fecal contamination marker (Pig-2-Bac DNA) with influenza A antibody levels. Results. Residing in the highest PPI and SPI tertile was associated with significantly higher mucosal H5 and H1 HA IgA levels, including among residents without occupational livestock exposure. Households with occupational poultry or swine contact had significantly higher H5 IgA and IgG and H1 IgA levels compared to Metro households. In regression models accounting for clustering at the participant level, log10 anti-H5 HA mucosal IgA increased 0.16 (95% CI: 0.06, 0.27, p<0.005) and 0.10 (95% CI: 0.03, 0.17, p<0.005), per log10 increase in PPI and SPI, respectively, and 0.16 (95% CI: 0.03, 0.19, p<0.02) when Pig-2-Bac DNA was detected on household surfaces. Conclusions. Mucosal H5 HA IgA and IgG and H1 HA IgA were consistently elevated across different metrics of livestock exposure intensity, including residential exposure, occupational contact within a household, and a molecular marker of household swine fecal contamination in a state with intensive poultry and swine production.

Background: Seasonal influenza, commonly known as flu, is an acute respiratory, highly contagious illness caused by influenza viruses. A clear understanding of influenza seasonality is crucial for guiding prevention and treatment strategies, including decisions on vaccination timing to prevent outbreaks. While well documented in temperate regions, data on influenza epidemiology in tropical areas, particularly sub-Saharan Africa, remain limited. We described the types, subtypes and positivity rate of seasonal influenza in Uganda during 2019-2023. Methods: We abstracted data from the National Influenza database on positive seasonal influenza cases confirmed by Polymerase Chain Reaction. The cases were disaggregated by age group, sex, region, month and year of reporting. Using Microsoft excel, we calculated the influenza positivity rate and disaggregated it by strain, sex, age, region and time. Test positivity rate was computed as the number of positive cases as a percentage of the total samples tested. Results: Among 17,957 individuals tested, the overall positivity rate for seasonal influenza was 5% (936 cases). Positivity was higher among males compared to females (7% vs. 4%), with children aged 5-9 years having the highest positivity rate (16%), while individuals aged 50-54 years had the lowest (1%). The median positivity rate was 4%, with a range of 1-16%. Regionally, the central region reported a positivity rate of 5%, with rates across all regions ranging from 5% to 8%. Over time, there was a gradual decline in positivity rates, decreasing from 16.5% in 2019 to 5.3% in 2023. Seasonal influenza exhibited bimodal peaks, with the primary peak occurring between March and May and a secondary peak from October to December. Influenza A was the predominant strain, accounting for 70% of seasonal influenza cases (669/936). Among the Influenza A subtypes, H3N2 was most common, representing 63% of cases (425/669). Conclusions: The declining seasonal influenza positivity rates from 2019 to 2023 and the predominance of Influenza A and H3N2 highlight the need for sustained surveillance in Uganda. Given Influenza A's high genetic variability and potential for novel strain emergence, monitoring circulating strains, informing vaccine development, and implementing targeted interventions for high-risk groups and regions are critical to controlling and preventing outbreaks.

Background. The clinical course of coronavirus disease 2019 (COVID-19), and the ability to anticipate which patients will require intensive care, were poorly characterized in Central Asia during the first pandemic wave. We aimed to describe the clinical features of hospitalized COVID-19 patients at the Tashkent State Medical University, Uzbekistan, and to identify risk factors for intensive care unit (ICU) admission. Methods. In this single-centre cross-sectional study, we reviewed the records of 2500 consecutive patients hospitalized between 11 April and 8 August 2020. Patients were grouped as asymptomatic or symptomatic, and symptomatic patients were compared by ICU versus non-ICU status. Groups were compared with chi-square or Fisher's exact and Mann-Whitney U tests. Univariable and multivariable logistic regression identified risk factors for ICU admission. Results. Of 2500 patients (median age 36 years; 60.9% male), 989 (39.6%) were asymptomatic and 1511 (60.4%) symptomatic. In total, 129 (5.2%) were admitted to the ICU and 38 (1.5%) died. ICU patients were older (median 56 vs 40.5 years) and more often had bilateral pneumonia, oxygen desaturation and cardiometabolic comorbidity. In the multivariable model (AUC 0.82), the independent predictors of ICU admission were ischemic heart disease (aOR 4.20), shortness of breath (aOR 3.22), hypertensive heart disease (aOR 2.93) and male sex (aOR 2.00). Conclusions. Older age, cardiometabolic comorbidity and respiratory compromise identified patients at high ICU risk. As one of the first clinical COVID-19 descriptions from Uzbekistan, these data provide a baseline for preparedness in Central Asia.

Background. Obesity has been associated with higher risk of dengue virus (DENV) infection and disease, yet its influence on antibody responses to DENV remains undefined. Methods. We evaluated whether nutritional status -- based on BMI z-score (BMIz) -- or blood markers of body fat -- leptin and adiponectin --are associated with binding and/or neutralizing antibody responses to DENV in 85 children in the Nicaraguan Pediatric Dengue Cohort Study who experienced a primary DENV infection in 2019. Associations were estimated using linear models adjusting for age, sex, and DENV infection outcome. Results. Compared to children with normal weight, those with obesity had higher quantities of DENV binding antibodies (fold-change [FC] 1.89, 95% confidence interval [CI] 1.02, 3.48) but no difference in neutralizing antibodies. Likewise, leptin concentration was associated with higher quantities of binding antibodies (FC 1.22, 95%CI 1.09, 1.37), while adiponectin was associated with lower quantities (FC 0.79, 95%CI 0.67, 0.94), and neither was associated with neutralizing antibodies. Lower neutralizing efficiency (neutralizing/binding antibodies) was observed in children with obesity (FC 0.67, 95%CI 0.48, 0.93). Conclusions. Our results indicate that obesity is associated with higher antibody quantity (binding) but not higher quality (neutralization) post-primary DENV infection -- implying that antibodies generated by children with obesity have lower neutralization efficiency, requiring greater quantities to reach similar levels of neutralization than children with normal weight. Further, the agreement among the three models using distinct proxies of body fat -- BMIz, leptin, and adiponectin -- demonstrates that adipokines are useful in supplementing BMIz analysis or as independent predictors of immune responses.

Background: Blood culture-negative infective endocarditis (BCNIE) poses a significant diagnostic challenge. This study evaluated a multimodal diagnostic algorithm combining serological and molecular methods at the Argentine National Reference Laboratory. Methods: A prospective analysis was conducted on 53 consecutive patients with suspected BCNIE referred between January 2019 and December 2024. The diagnostic workflow included indirect immunofluorescence for Bartonella spp. and Coxiella burnetii, species-specific PCR for Bartonella spp. and Tropheryma whipplei, and broad-range 16S rRNA PCR with Sanger sequencing on available blood and valvular tissue specimens. Results: An etiological diagnosis was established in 17 of 53 patients (32.1%). Bartonella spp. was the predominant pathogen (47.1%; 8/17), followed by T. whipplei (35.3%; 6/17) and Streptococcus spp. (17.6%; 3/17). All Bartonella cases were initially detected via serology, with molecular confirmation achieved exclusively through valvular tissue analysis. Conclusions: Implementing a standardized multimodal diagnostic algorithm significantly enhances etiological yields in BCNIE. The findings emphasize the complementary value of frontline serology and targeted molecular testing, highlighting that simultaneous submission of serum, blood, and valvular tissue is essential for optimal diagnosis.

Leptospirosis is an infectious neglected zoonotic disease caused by pathogenic bacteria of the genus Leptospira. The genus comprises 43 pathogenic species, divided into two clades (P1 and P2), with the potential to cause disease on animals and humans. Despite the major impact of this disease on animal and human health, few quantitative real-time polymerase chain reaction (qPCR) assays have been validated to specifically detect all pathogenic Leptospira species, thwarting diagnosis and epidemiological studies. The gene encoding LipL32, the major leptospiral outer membrane protein, discriminates pathogenic P1 species from P2 and saprophytic. However, with the recent discovery of new species, the current lipL32-based qPCR assay cannot detect all classified P1 species. Furthermore, there are no currently validated molecular methods able to differentiate the presence of P1 and P2 species on clinical samples. Previous analyses have shown that the 23S ribosomal RNA gene displays considerable conservation in P1 and P2 species but sequence divergence in saprophytic species, a promising target for PCR-based detection and discrimination of those two clades. This study optimized and validated an improved lipL32- and 23S-based TaqMan qPCR assay using human and animal clinical samples. These newly optimized and developed assays resulted in a lower limit of detection and increased diagnostic sensitivity, resulting in the detection of all pathogenic species of the genus Leptospira currently described. These assays will improve the detection of leptospires from clinical and environmental samples, providing a valuable epidemiological and clinical tool to support One Health research on this important emerging disease.

The 2026 Bundibugyo ebolavirus (BDBV) outbreak underscores the need for rapidly deployable molecular diagnostics. We developed and analytically validated reverse-transcription quantitative PCR assays detecting BDBV, Zaire ebolavirus, and Sudan ebolavirus. The platform includes a BDBV singleplex assay, a duplex assay with a human internal control, a four-target multiplex assay for ebolavirus differentiation, and a probe-free SYBR Green assay. We adapted the assays to a portable qPCR instrument, reducing runtime from 65 to 35 minutes, and validated lyophilized reagents to reduce cold-chain requirements. All TaqMan formats achieved a 95% limit of detection of 5 copies per reaction across instruments and reagent types; the SYBR Green assay achieved 50 copies per reaction. The assays detected viral RNA in contrived clinical samples without cross-reactivity among ebolavirus species tested. We shared the protocols in real time through Ampliphi (https://www.ampliphi.bio), a new open-access platform for rapidly disseminating diagnostic assays, and through protocol.io.

Objective. Respiratory infections are the leading cause of illness at major sporting events, yet surveillance relies on athletes recognising and reporting symptoms. We evaluated whether continuous air sampling with point-of-care molecular testing could detect respiratory-virus nucleic acids in an elite team's congregate spaces during competition, and whether the resulting signals were operationally useful. Methods. We performed a prospective, descriptive environmental-surveillance study following the Canadian men's national soccer team across five host cities during the 2026 FIFA World Cup (3 June to 4 July 2026). InBio Apollo bioaerosol samplers ran continuously in up to four team-designated rooms per hotel (physiotherapy, meal, equipment, and coaches' room or hallway). Filters were changed approximately twice daily, eluted on-site, and tested with the Cepheid Xpert Xpress(R) SARS-CoV-2/Flu/RSV plus assay. A sample was considered positive if any cycle-threshold (Ct) value was reported, as less than 45, for a target. Results. Of 174 air filters, there were 13 detections of virus genetic material (9 SARS-CoV-2, 3 influenza A virus, 1 influenza B virus, 0 RSV). Detections were sparse early and clustered late in the tournament. An influenza A signal appeared the morning a player was sent home febrile, and SARS-CoV-2 signals coincided with visibly ill hotel staff, with signals falling after ill staff were excluded. Conclusion. Air sampling with point-of-care testing is feasible in the mobile environment of an elite team and can surface behavior-independent viral signals during competition that may offer opportunities for earlier precautionary actions.

Background. West Nile virus (WNV) genomic surveillance in the United States relies largely on mosquito and avian sequencing, while human-derived genomes remain scarce. Nucleic acid testing (NAT)-reactive blood donations provide a standardized source of acute human-phase virus, but low donor viremia complicates genome recovery. This study evaluated a sequencing strategy for WNV surveillance using these samples. Study Design and Methods. Amplicon sequencing, hybridization capture, and shotgun RNA-seq were evaluated for WNV lineage 1a recovery from donor plasma. Amplicon performance was characterized using a WHO International Standard dilution panel quantified by RT-dPCR, contemporary 2025 donations, archival 2010-2011 donations, and technical replicates. Two donations were processed by all three methods from matched plasma to compare performance metrics and consensus concordance. Results. Amplicon sequencing recovered near-complete genomes across the full dilution panel, including the lowest measured input, and across the viral-load range represented by the selected donor samples. Recovery from the two archival plasma samples was similar to that observed among contemporary donations. In the two matched donations, all three methods generated identical consensus sequences across shared callable positions. At lower input, amplicon and capture maintained near-complete recovery, whereas shotgun RNA-seq decreased to 87.2% coverage at 10X. For libraries achieving near-complete recovery, WNV-mapped-read requirements were similar, but amplicon sequencing required substantially fewer total reads. Discussion. NAT-reactive blood donations can support WNV genomic surveillance. Amplicon sequencing is an efficient first-pass approach for expected lineage 1a WNV, with capture and shotgun RNA-seq serving as escalation strategies for divergent lineages or unbiased pathogen detection.

BACKGROUND Diagnosis of Tuberculosis (TB) from stool specimen using the Xpert MTB/RIF Ultra assay (Xpert-Ultra assay) is important to confirm diagnosis for presumptive TB patients who are unable to produce sputum. We evaluated diagnostic performance of the Xpert-Ultra assay in stool specimen among adult migrant population living in generalized HIV epidemic situation. METHODS A prospective, cross-sectional study was conducted at outpatient and inpatient departments of the Shoklo Malaria Research Unit (SMRU) clinics and Mae Tao Clinic (MTC) located in Thailand-Myanmar border area. Presumptive TB patients of any age who were registered between November 14, 2022, and May 23, 2023, were eligible for inclusion based on reported signs and symptoms and/or radiological findings. Using liquid MTB culture in sputum as reference standard, evaluation of diagnostic performance of the Xpert-Ultra assay in stool was performed, and it was also compared with performance of smear microscopy and Xpert-Ultra assay in sputum specimen. RESULTS Total 113 participants were included in the analysis; 9 (7.96 %) had human immunodeficiency virus (HIV) infection, and 31 (27.43%) had confirmed TB on culture results. Among these culture-confirmed TB cases, the sensitivity of Xpert-Ultra assay in stool specimen was 90.32 % (95% confidence interval [CI], 74.25% to 97.96%). Although the absolute difference in sensitivity of Xpert-Ultra assay in stool was 3.23 % lower than sputum (95% CI: -9.46 % to 3.00 %), there was no statistically significant difference between the two sample types. The specificity of Xpert-Ultra assay in stool specimen was 98.78% (95% CI, 93.39% to 99.97%) against culture-negative TB cases, giving an absolute difference of 1.22 % (95% CI, -1.16% to 3.59%) compared to sputum Xpert-Ultra assay. This method demonstrated that diagnostic performance was consistent with World Health Organization (WHO) target product profiles on low-complexity assays for detecting Mycobacterium tuberculosis (MTB). CONCLUSIONS The Xpert-Ultra assay in stool specimen can be considered as a potential, alternative method in diagnosis of presumptive pulmonary TB in adults when respiratory sample is difficult to collect.

Mpox has re-emerged as a public-health priority across Nigeria, and successive international public-health emergencies were declared in 2022 and 2024. Facility-level descriptions of admitted, clinically suspected cases from northeastern Nigeria remain sparse. We conducted a register-based descriptive study of all admissions to the infectious-diseases isolation ward of Modibbo Adama University Teaching Hospital, Yola, in which mpox was recorded as the working or a differential diagnosis between February 2022 and January 2025. Age, sex, month of admission, locality, recorded clinical impression, and outcome were abstracted and summarised, with proportions reported using Wilson 95% confidence intervals. Fifteen suspected mpox admissions were identified, representing 4.5% (95% confidence interval 2.8-7.4) of 330 isolation-ward admissions. The median age was 20 years (interquartile range 13-37; range 7-57); six patients (40.0%) were children under 18 years and 12 (80.0%) were male, giving a male-to-female ratio of 4:1. Admissions clustered in 2022 (9 of 15; 60.0%), with six in July 2022, including a probable household cluster of four children and adolescents aged 7-14 years from a single locality who presented within eight days of one another. Three deaths were recorded (case fatality 20.0%, 95% confidence interval 7.0-45.2), including one disseminated case complicated by acute respiratory distress syndrome. The demographic profile closely matches previously reported Adamawa State and national surveillance data, whereas the elevated case fatality reflects referral concentration and diagnostic uncertainty rather than true mpox-attributable mortality. Cases were clinically suspected rather than laboratory-confirmed, which is the principal limitation of this study. We recommend targeted strengthening of laboratory diagnosis at facility and sub-national level, including dual monkeypox-varicella testing algorithms, use of existing molecular platforms rather than new infrastructure, and mandatory recording of laboratory results within ward registers.

Background The COVID-19 pandemic substantially altered respiratory pathogen circulation worldwide. However, longitudinal analyses of changes in respiratory pathogen ecology across the pandemic and post-pandemic periods remain limited. Methods We analyzed 19,968 respiratory samples tested with the BioFire(R) FilmArray(R) Respiratory Panel at a hospital in Tokyo, Japan, between January 2020 and March 2026. We evaluated temporal changes in pathogen circulation, age-specific epidemiology, co-detection patterns, pairwise pathogen associations, and clinical parameters. Results At least one respiratory pathogen was detected in 27.8% of tests. Respiratory pathogens resurged asynchronously following the relaxation of COVID-19-related public health measures. Influenza virus circulation remained markedly suppressed until late 2022 before re-emerging in successive large seasonal epidemics, whereas other pathogens, including RSV, human metapneumovirus, and Mycoplasma pneumoniae, exhibited distinct resurgence patterns. Pathogen distributions also varied by age. Human rhinovirus/enterovirus remained predominant among young children, whereas SARS-CoV-2 predominated among older adults. Co-detection occurred in 14.0% of positive specimens and was significantly more frequent in younger patients. Pairwise analysis identified both positive and negative pathogen associations; however, the patterns varied across age groups and study periods. Conclusions Respiratory pathogen circulation changed substantially during the transition from the COVID-19 pandemic to the post-pandemic period, with pathogen-specific, age- and period-dependent patterns. Continued surveillance is warranted to determine how respiratory pathogen circulation will evolve and to inform infection control strategies in the post-pandemic era.

Arthropod-borne Alphaviruses in the Semliki Forest (SF) virus complex, including Chikungunya virus, Mayaro virus, and O'nyong-nyong virus, represent a substantial threat to human health globally. These antigenically related viruses often cause short-term febrile symptoms that can progress to chronic and debilitating arthropathy. The ecology of these viruses is complex due to the involvement of various animal hosts and mosquito vectors in their transmission cycles. Non-human primates (NHPs) have been identified as potentially important animal hosts that may contribute to ongoing transmission and emergence, but the full range of known NHP hosts is not clear. Due to the epidemiological importance of NHPs, we predicted NHP species with a high probability of being carriers of SF complex Alphaviruses. We first compiled an extensive database of intrinsic and extrinsic NHP traits including reproduction, diet, behavior, biogeography, home-range, and climate. Next, we identified NHP species that are known zoonotic hosts of SF complex Alphaviruses. Hosts are defined as naturally infected NHPs identified through field studies. They do not necessarily meet the criteria for reservoir competence. Host vs. non-host status was largely determined through serology and species without data were treated as non-hosts in our analysis. Finally, we used boosted regression trees (BRT) to develop a trait profile of the known NHP host species. Using this trait profile, we identified additional, potentially unrecognized NHP hosts with a comparable trait profile. We found that latitudinal range, maximum longevity, maximum temperature, minimum human population density, number of ecoregions in species range, neonate mass, female mass, and mean precipitation were important predictors of zoonotic host status. Additionally, we were able to distinguish NHP hosts from non-hosts, and to identify 30 additional NHP species predicted to carry SF complex Alphaviruses. These findings can serve as hypotheses that can guide targeted surveillance and may help direct additional field epidemiological studies to better define the risk and risk factors of Alphavirus emergence.

Background: Retail red meat may act as a source of foodborne pathogens, antimicrobial resistant bacteria, and antibiotic residues, posing a significant public health concern in Bangladesh. Objectives: This study aimed to isolate and identify major bacterial pathogens from retail red meat, determine their antimicrobial susceptibility patterns, assess the prevalence of antibiotic resistant bacteria, and detect antibiotic residues in meat samples. Methods: A cross-sectional study was conducted from January to June 2019 using 60 retail red meat samples (20 cattle, 20 goat, and 20 buffalo) collected from Rajshahi and Naogaon districts. Bacterial isolates were identified using standard cultural, morphological, staining, and biochemical techniques. Antimicrobial susceptibility was evaluated by the Kirby Bauer disc diffusion method according to CLSI guidelines. Antibiotic residues were screened in 15 representative samples using thin layer chromatography (TLC). Results: Overall prevalence of Escherichia coli, Salmonella spp., and Staphylococcus aureus was 10.0%, 13.3%, and 28.3%, respectively. E. coli showed complete resistance to penicillin (100%) and high resistance to amoxicillin (83.3%), while remaining highly susceptible to ciprofloxacin (83.3%) and gentamicin (66.7%). Salmonella spp. exhibited highest resistance to penicillin (87.5%) and tetracycline (75.0%), whereas gentamicin (87.5%) and ciprofloxacin (75.0%) remained the most effective agents. S. aureus demonstrated marked resistance to penicillin (94.1%), ampicillin (58.8%), tetracycline (47.1%), and amoxicillin (47.1%), but high susceptibility to gentamicin (88.2%) and ceftriaxone (70.6%). TLC detected ciprofloxacin and oxytetracycline residues in one cattle meat sample each (6.7%). Conclusions: Retail red meat marketed in the study areas harbored multidrug-resistant bacterial pathogens and detectable antibiotic residues, highlighting potential risks to food safety and public health. Continuous surveillance, prudent antimicrobial use, improved slaughterhouse hygiene, and strict compliance with antibiotic withdrawal periods are essential to minimize antimicrobial resistance and residue contamination.

Objectives: To investigate whether ethambutol resistance in Mycobacterium avium complex is associated with the emergence of macrolide resistance. Methods: Patients who developed macrolide resistance during guideline-based treatment were included, and longitudinal analyses of minimum inhibitory concentrations and mutations in embB or the upstream region of embA were performed. Clinical, microbiological, and radiological characteristics were compared according to the mutation status of embB or embA upstream region, prior to the emergence of macrolide resistance. We further evaluated the impact of embB mutation on the development of macrolide resistance using in vitro time-kill assays. Results: Sixteen patients developed macrolide resistance during guideline-based treatment. None of these patients had an ethambutol minimum inhibitory concentration >=16 ug/mL or embB or embA upstream mutations at treatment initiation; however, 8/16 patients (50.0%) had an ethambutol minimum inhibitory concentration >=16 ug/mL at the time of macrolide resistance detection, and 7/16 (43.8%) had developed embB or embA upstream mutations prior to the emergence of macrolide resistance. Cavitary lesions were present in 1/7 (14.3%) patients with embB or embA upstream mutations. In strains with embB mutations, the minimum inhibitory concentration of ethambutol increased by 1-2 dilutions relative to that of pretreatment isolates, with a corresponding increase in the concentration required to suppress macrolide resistance. Conclusions: Ethambutol resistance may contribute to the development of macrolide resistance in patients with M. avium complex pulmonary disease, particularly in those without cavitary lesions.

Seasonal influenza remains a major cause of morbidity and mortality worldwide. Although neuraminidase inhibitors improve outcomes, influenza-related deaths persist. We evaluated the impact of early aspirin (ASA) and non-aspirin nonsteroidal anti-inflammatory drug (NSAID) use on outcomes in adults hospitalized with influenza. This retrospective study included adults admitted to the University of Minnesota Medical Center from 2016 to 2018. Continuous variables were summarized as medians with interquartile ranges (IQRs) and categorical variables as counts and percentages. Group comparisons used Wilcoxon rank-sum, Chi-square, or Fishers exact tests. Analyses included case-control comparisons, assessments by vaccination status, and subgroup analyses by early ASA or NSAID use. Among 2,816 patients, 320 had laboratory-confirmed influenza, with vaccination less common among cases. Unvaccinated patients had higher rates of intensive care unit (ICU) admission (23.6% vs. 11.1%; P = 0.003) and ventilatory support (15.0% vs. 6.1%; P = 0.009). In vaccinated patients, early ASA use was associated with older age and higher in-hospital mortality, whereas early NSAID use was associated with no in-hospital deaths, better one- and three-year survival (P < 0.001), and fewer, though not statistically significant, cardiovascular complications. In unvaccinated patients, ASA use was associated with lower three-year survival (59.1% vs. 79.2%; P = 0.013), while NSAID use was associated with fewer ICU admissions and no cardiovascular or renal complications. In both vaccinated and unvaccinated adults hospitalized with influenza, early NSAID use was associated with improved survival and fewer complications, whereas ASA use was associated with worse outcomes.

Background Early recognition of presentations consistent with the deliberate release of a Category A bioterrorism agent is essential for rapid isolation, public health notification, and containment. The ability of UK clinicians-in-training to recognise these syndromes is unstudied. This pilot assessed final-year UK medical students' ability to recognise these syndromes. Methods A pilot cross-sectional online survey of final-year UK medical students used single-best-answer clinical vignettes depicting syndromes associated with Category A bioterrorism agents (BT vignettes) and clinically overlapping non-bioterrorism syndromes (NBT vignettes). Performance was summarised as the proportion of vignettes correctly identified, with primary analysis comparing within-participant BT and NBT performance. Results Twenty-five participants completed the survey. Participants performed worse on BT vignettes (M = 0.55) than on NBT vignettes (M = 0.81), with a within-participant difference of -0.26 (95% CI [-0.35, -0.18]; t(24) = -6.33, p < 0.001; Cohen's dz = -1.27). Botulism (96.0%) and Ebola virus disease (88.0%) were recognised by most participants, while anthrax (40.0%), pneumonic plague (28.0%), and smallpox (24.0%) were recognised by fewer than half. Conclusion This pilot provides the first UK evidence of a substantial diagnostic deficit in final-year medical students' recognition of Category A bioterrorism agent syndromes.

Objectives: Capturing adequate blood volume for blood cultures is critical for accurate detection of bloodstream infections. Pediatric volume targets vary by age and weight, whereas adult targets are standardized. The BD BACTEC FXI Culture System (FXI) contains an integrated calibrated load cell capable of automatically reporting blood volume measurements for each vial loaded onto the system. This study evaluated the accuracy of the FXI's blood volume measurements in simulated pediatric and adult patients. Methods: Mock pediatric and adult blood draws were performed, using bagged whole blood, to replicate real-world collection protocols. Syringe-collected blood volumes ranged from 2.0 to 15.0 mL for pediatric patients, depending on mock patient weight, and were fixed at 40.0 mL for adults. Samples were inoculated into BD BACTEC Peds Plus/F, Plus Aerobic/F, and Lytic/10 Anaerobic/F Culture Vials, with a target volume of 2.0 to 10.0 mL per bottle. Reference blood volumes were determined gravimetrically using manually obtained pre- and post-inoculation weights with a blood-specific gravity of 1.055 g/mL and were compared to the automatically measured, gravimetric-based blood volumes reported by the BACTEC FXI Culture System. Results: Automated volume estimates were accurate to a mean error of -0.03 mL per bottle (SD, 0.40 mL; n=168; 95% CI, -0.09 mL, 0.03 mL) and -0.08 mL (SD, 0.79 mL; n=72; 95% CI, -0.26 mL, 0.10 mL) when assessing total volume collected per patient. Conclusions: Our findings demonstrate that the automated system can quantify blood volumes in BACTEC culture vials and support blood volume monitoring for pediatric and adult collections. The gravimetric approach is also amenable to full automation for efficient and accurate blood volume determination.