Clinical Infectious Diseases

Background: The relationship between recent viral infection and subsequent susceptibility to, or protection against, other viruses remains unclear, particularly across ages and symptom status. Methods: A prospective cohort study enrolled participants aged 6 months to 49 years in Washington and Oregon, USA, 2022-2024. Weekly nasal swabs were tested for SARS-CoV-2, respiratory syncytial virus (RSV), and influenza A/B; additional swabs were collected during symptomatic illness and were also tested for parainfluenza (PIV) 1-4, endemic human coronaviruses (hCOV), adenovirus, human metapneumovirus, human rhinovirus (hRV), and enteroviruses. Proportional hazards regression models were used to characterize associations between incident symptomatic infection (illness) and history of recent illness due to other viruses (within 1-7, 8-14, 15-30, 31-60, 61-90, 91-180 days), adjusted for geographic region, age, sex, daycare/school/work attendance, household size, and number of children in the household. For SARS-CoV-2, influenza, and RSV, these analyses were repeated to study incidence of infection (including asymptomatic cases). Findings: Of 3,560 participants, 2,969 (83%) had [≥]1 illness over 4,299 person-years. Adjusted hazard ratios (aHRs) in the short term ([≤]2 weeks) after an illness were predominantly below 1, indicating that recent viral illness was often associated with lower risk of subsequent illness with other viruses. Across age groups, recent hRV illness was associated with lower risk of hCOV, PIV, and RSV illness (aHRs 0.07-0.27). SARS-CoV-2 illness was associated with a higher short-term risk of adenovirus and PIV illness (aHRs 3.20-3.33). In children aged 6 months-4 years, recent influenza illness was associated with higher short-term risk of SARS-CoV-2 illness. Including asymptomatic infections generally attenuated these associations. Interpretation: Some viral illnesses may alter short-term susceptibility to subsequent viral illnesses. Interactions may differ by age and symptom status. Funding: US Centers for Disease Control and Prevention; Washington State Department of Health.

Background Clostridioides difficile infections (CDI) continue to cause substantial morbidity and mortality, with increasing incidence in some countries post-COVID-19. Recurrence affects 10-20% of CDI patients: whether risk factors have changed over time is unclear, particularly post-COVID-19. Methods Using electronic health records from hospitals in Oxfordshire, UK, including results from community samples, we estimated the incidence of CDI recurrence across different calendar periods between 2000-2025. To investigate whether risk factors had changed over time, we used interaction tests within multivariable Fine-Gray regression models (modelling death as a competing risk), using backwards elimination, starting from 39 risk factors identified from the literature. Results Recurrence occurred within 1-year in 12.6%, 12.5%, 10.8% and 13.1% of CDI cases in "high virulence" 2003-2008 (n=527), "post-high virulence" 2008-2012 (n=252), "pre-pandemic" 2012-2020 (n=143) and "post-pandemic" 2020-2025 (n=110) periods respectively. The only factor with evidence of variation in its association with recurrence over time was surveillance classification (heterogeneity p=0.019; others p>0.05). Compared with hospital-onset cases, community-onset community-associated cases had increasing recurrence risks over time (subdistribution hazard ratios (SHRs)=2.05 (95% CI 1.27-3.31) in "post-pandemic" and 1.86 (1.16-2.98) in "pre-pandemic"), especially compared to the "high virulence" era of the early 2000s (SHR=0.81 (0.56-1.16)). This heterogeneity persisted after adjusting for baseline blood tests as a marker of severity (heterogeneity p=0.022). Conclusions Compared with hospital-onset hospital-associated cases, recurrence risks increased for community-onset community-associated CDI cases over time. Recurrence is a key contributor to overall CDI incidence and the underlying causes of increasing risks with community-onset community-associated cases should be explored further.

Interferon-gamma release assays detect Mycobacterium tuberculosis infection but cannot distinguish infection from active tuberculosis (TB). We evaluated the diagnostic information provided by QuantiFERON-TB Gold Plus (QFT-Plus) among adults investigated for active TB in Brazil and South Africa. Adults with presumptive TB were prospectively enrolled by convenience sampling. QFT-Plus was the index test, and diagnostic classification required microbiological confirmation of TB or an established alternative diagnosis. QFT-Plus results did not inform diagnostic classification. Accuracy was assessed among participants with determinate results, primarily using likelihood ratios. Of 723 participants tested, 48 (6.6%) had indeterminate results, all due to low mitogen responses. Among 675 participants with determinate results, 147 (21.8%) had confirmed TB. Sensitivity was 68.0% (95% CI, 60.1-75.0), specificity was 59.3% (95% CI, 55.0-63.4), and the negative likelihood ratio was 0.54 (95% CI, 0.42-0.69). At the observed prevalence, a negative result left a 13.1% probability of active TB. Negative likelihood ratio confidence intervals included 1 in both South African HIV strata. Specificity was higher among participants with HIV in both countries. Adding TB2 to TB1 alone identified 15 additional TB cases and generated 18 additional positive results among participants without active TB. HIV and active TB were independently associated with indeterminate results in exploratory regression. A negative QFT-Plus result provided insufficient information to exclude active TB. Higher negative predictive values among participants with HIV reflected lower disease prevalence and higher specificity rather than greater sensitivity. Negative or indeterminate results should not terminate diagnostic evaluation.

Objectives- Among clinical methicillin-resistant Staphylococcus aureus (MRSA) bloodstream infection (BSI) strains, we sought to determine the prevalence of {beta}-lactam-{beta}-lactamase inhibitor (BLBLI) susceptibility, and its association with oxacillin susceptibility, genotypic factors, and patient characteristics. Methods- Clinical MRSA BSI strains were tested for susceptibility to penicillin-clavulanate by Etest (n=117, 36% of the dataset) and to oxacillin by disk diffusion assay (n=328, 100%). Penicillin-clavulanate susceptibility was defined as MIC [≤]2mg/L and oxacillin disk susceptibility as an inhibition zone > 6mm. All strains were whole-genome sequenced, and alleles of mecA annotated. The sensitivity and specificity of the oxacillin disk to predict penicillin-clavulanate 'susceptibility' were assessed. Clinical and genomic associations with BLBLI 'susceptibility' were assessed by calculating odds-ratios (OR). Results -We found 73/117 (62%) and 205/328 (62%) strains to be 'susceptible' to penicillin-clavulanate and oxacillin disk, respectively. Oxacillin disk susceptibility and penicillin-clavulanate susceptibility were highly correlated (sensitivity 97.3% and specificity 95.5%). We therefore used oxacillin disk susceptibility as a proxy for penicillin-clavulanate susceptibility. Comparative genomics of the mecA gene uncovered 8 alleles. The oxacillin disk 'susceptible' phenotype was associated with specific mecA alleles, community-associated MRSA sequence-types (OR 72.8, 95%CI 35.4-162), community acquisition of infection (OR 2.09, 95% CI 1.03-4.27), lower Charlson Comorbidity Index (OR 0.90, 95% CI 0.82-0.98) and SOFA (sequential organ failure assessment) scores at presentation (OR 0.88, 95% CI 0.79-0.98). Conclusion - BLBLI 'susceptibility' is common among MRSA strains and is strongly associated with the strain genotype. Infections caused by BLBLI 'susceptible' strains are associated with specific patients' characteristics, namely younger age, fewer comorbidities, acquisition in the community and milder presentations.

Background: Common variable immunodeficiency is frequently underrecognized due to its heterogeneous clinical presentation, resulting in diagnostic delays that increase disease-related complications, with each year of delay increasing mortality risk by 4% for the most common inborn error of immunity. Objective: In individuals with established common variable immunodeficiency, we sought to recognize patterns in patient diagnostic trajectories to identify opportunities for interventions to reduce time to diagnosis. Methods: We analyzed retrospective electronic health records data from 139 individuals with physician-confirmed common variable immunodeficiency across five academic health systems representing >10million patients. We evaluated diagnosing specialties and international classification of disease code trajectories in the two years prior to and at common variable immunodeficiency confirmation. Additionally, we construct specialty-specific prediction on a 1:50 case: control cohort using a gradient boosting algorithm. Results: The leading diagnoses at common variable immunodeficiency determination were respiratory (35% of individuals), and individuals with respiratory symptoms were more likely to be diagnosed by Allergy / Immunology than by other specialties (odds ratio 2.9, standard error 0.35, p-value 1.9x10-3) and had a higher frequency of visits to pulmonary disease in the two years prior to diagnosis. Individuals with neoplasms were 50% more likely than other patients (OR 2.0, SE 0.29, p-value 0.02) to receive a diagnosis at each visit, reducing their diagnostic delay by up to a year. We find that a larger ratio of number of specialties visited to the total number of visits is significantly correlated with an increased time to diagnosis. A trajectory-informed specialty-specific prediction improved detection with an area under the precision-recall curve of fifty times the value expected under the null. Conclusions: Individuals referred to Allergy / Immunology have shorter time to diagnosis, and a specialty-specific prediction could improve detection of common variable immunodeficiency. Clinical Implications: Overall, we find that phenotype-specialty interactions may inform targeted interventions to improve common variable immunodeficiency recognition across specialties, reducing diagnostic odyssey and disease-related complications.

Importance: Antibiotic-resistant infections in neonates often arise from the infant's own colonizing bacteria harboring antibiotic resistance genes (ARG). This study evaluates ARG that impact antibiotic selection and drive resistance-related mortality, termed clinically important antibiotic resistance genes (CI-ARG). Objective: To determine differences in gut CI-ARG abundance in children from birth through 3 years old, stratified by neonatal intensive care unit (NICU) admission and antibiotic (abx) exposure in the first two months Design: Cohort study (sequencing, analysis completed 2025-2026) using shotgun metagenomic sequencing of stool samples from infants in two studies: Neonatal Intestinal Microbiome (+NICU groups, 2015-2022), The First 1000 Days of Life and Beyond (-NICU groups, 2018-2021). Infants grouped into four cohorts: +NICU/+abx, +NICU/-abx, -NICU/-abx, and -NICU/+abx. Prespecified CI-ARG abundance compared longitudinally among groups. Setting: NICU, well-baby nursery, Inova Fairfax Hospital, Virginia Participants: +NICU criteria: admission to the NICU, anticipated length of stay (LOS) of at least five days, maternal age at least 18 years. -NICU: parents with good general health and age at least 18 years enrolled prior to infant birth. Stool samples: adequate stool processing volume, at least one stool sample from before one month and after one year of age, 7-day minimum between serial samples. Exposures: NICU versus well-baby nursery; antibiotics versus none in first two months of corrected age Main Outcomes and Measures: Predefined primary outcome- longitudinal CI-ARG abundance by group, compared using linear mixed effects models with adjustment for multiple comparisons (Benjamini-Hochberg procedure). Predefined secondary outcomes- differences in overall microbiota and resistome composition. Results: 1000 serial stool samples, 179 infants (birth-39 months). Longitudinal abundance significantly differed among cohorts for 11 CI-ARG (p < 0.05); often higher in the +NICU groups in early life, with or without antibiotic exposure. Abundance of ARG conferring resistance to aminoglycosides, macrolides, and fluoroquinolones later decreased below -NICU levels. mecA, which often drives methicillin resistance in Staphylococcus, was detected only in +NICU infants during premature period. Conclusions: This longitudinal study demonstrates significant longitudinal CI-ARG differences in children grouped by early-life NICU status and/or antibiotic exposure. Future studies should explore the mechanisms driving these CI-ARG changes and evaluate their impact on infection risk and community spread.

Background: TB vaccine development is hampered by the natural history of M. tuberculosis: most infected people rarely progress to disease, so trials must be very large and long to accrue sufficient disease endpoints. Current trials enrol IGRA-positive participants (IGRA: Interferon-Gamma Release Assays), but IGRAs remain positive for many years and cannot distinguish recent from remote infection. Tests for recent infection are now in development, and we argue they could make trials substantially more efficient. Here, we investigate how screening participants prior to enrolment with a test for recent M.tb infection could impact the total number of enrollees required for an adequately-powered TB vaccine trial. Methods: Using a statistical model of vaccine trial recruitment, we estimated the number needed to contact, test, and enrol to achieve an 'effective' trial (defined as 50 disease endpoints), under IGRA-gated enrolment (life-long duration of positivity) vs. enrolment with a test for recent infection. We considered five recruitment strategies: non-test-based enrolment for ages 15-49, ages 12-34, and household contacts of recent cases; and test-based enrolment using IGRA, and a test for recent infection with two-year duration of positivity. The model explored trial recruitment in South Africa, Kenya, and India. Results: Compared with an extended-positivity test, a test for recent infection reduced the median number needed to enrol by 4.2- to 6-fold under favourable conditions. It also outperformed non-test-based strategies, including enrolling household contacts. This comes at the cost of substantially more testing, but crude estimates suggest recency-based enrolment would still be cheaper overall provided the new test does not cost more than roughly 5-10 times an IGRA. Conclusions: Diagnostics for recent M.tb infection have the potential to improve vaccine trial efficiency, but more research is now needed to understand test characteristics and to evaluate their use in this setting. Our Viewpoint sets out the test attributes that would need to be established, such as time to positivity, duration of positivity, sensitivity, and specificity, before such tests could be used in vaccine trials.

ObjectivesRespiratory Syncytial Virus (RSV) vaccine policies have varied globally since their approval in 2023. In the UK, policy has adapted in line with National evidence generation such that from Autumn 2026 at-risk persons [&ge;]65 years old will become eligible for vaccination. Immunosuppressed persons <65 years will still not be offered protection. The objective of this study is to investigate the relative burden of RSV infection by age and immunosuppressed status (IC). DesignRetrospective observational cohort study using routine healthcare data from North West London Integrated Care System. ParticipantsPatients with a confirmed diagnosis of a respiratory viral infection (RSV, Influenza A and B, SARS-CoV2) between October 2021 and July 2025. Main outcomes measuresPrevalence and severity of RSV infection in immunosuppressed persons <65 years old, and to provide a comparative analysis with Influenza and SARS-CoV2 in a sub-cohort tested using a 4-in-1 combined rapid PCR test. ResultsDuring the study period, 1226 patients were diagnosed with RSV of whom 596 (48.6%) were <65 years old. In 1091 patients with clinical data, 341 (31.3%) were IC. Fifty (9.9%) patients <65 years old had severe infection (ICU admission or death within 28 days of diagnosis), of whom 14 (28.0%) were IC. Proportionally, 16.7% of all RSV-associated deaths and 55.1% of all ICU RSV-admissions occurred in adult patients <65 years old. RSV accounted for 665 (10.1%) infections confirmed by 4-in-1 viral PCR testing. Eight-nine (13.4%), 172 (9.3%) and 448 (12.0%) patients with RSV, Influenza A and SARS-COV2 experienced severe infection, of whom 32 (36.0%), 82 (47.7%) and 156 (34.8%) were <65 years old respectively. Eight (25.0%), 20 (24.4%) and 52 (33.3%) of patients <65 years old with severe infection were IC. On adjusted analysis, having an immunosuppressive condition increased the odds of a severe SARS-CoV2 infection, OR (95% CI) 1.36 (1.08-1.71) but not a severe RSV or Influenza infection. ConclusionsSevere RSV infections occur in persons <65 years old, with a significant proportion of patients having an immunosuppressive condition. Urgent research is needed to investigate the potential benefit of extending the current UK RSV vaccine policy to protect younger immunosuppressed adults.

Background. Tuberculosis preventive treatment (TPT) with levofloxacin reduces tuberculosis disease incidence in multidrug-resistant or rifampicin-resistant (MDR/RR)-tuberculosis household contacts. However, with age, disease progression risk falls and the frequency of adverse events (AE) rises. Methods. To inform decision-makers, we evaluated the cost-effectiveness of expanding the use of MDR/RR-TPT by age, with and without tests of tuberculosis infection. We modelled MDR/RR-household contact management (HHCM) in 189 countries, incorporating age-dependent risks of disease progression, death and AEs. Incremental cost-effectiveness ratios were calculated as USD/disability-adjusted life year (DALY) averted, and as a fraction of per capita gross domestic product (GDP). Findings. Compared to baseline of MDR/RR-HHCM with TPT for those <15 years, adding TPT up to 45 years was cost-effective at a threshold of 30% GDP in 160/189 modelled countries including 17 of the 30 highest incidence countries. Of these 160 countries, the intervention was cost-saving in 46. Strategies targeting TPT to those testing positive for M. tuberculosis infection were dominated by those without testing. Globally, full use of MDR/RR-HHCM with TPT for all would avert 11,900 (10,400 to 13,800) episodes of tuberculosis, 9,960 (9,100 to 10,900) deaths, and 289,000 (262,000 to 321,000) DALYs, but would result in 71,000 (68,000 to 74,000) SAEs and cost $359 million (294 to 449). Interpretation. Expanding MDR/RR-TPT use to older ages without testing appears cost-effective in most settings, but may require substantial resources and result in large numbers of AEs. Funding. Unitaid

Background: Age is an important determinant of tuberculosis (TB) risk, but population-level age patterns in TB prevalence have not been systematically quantified across settings. We conducted a systematic review of surveys conducted in low- and middle-income countries to quantify trends in TB prevalence across age groups. Methods: We collated age-stratified TB prevalence data for individuals aged 15+ years, from population-based surveys reported between 1993 and 2025. We analyzed data using Bayesian meta-regression models, estimating trends in bacteriologically confirmed pulmonary TB prevalence across age groups. We extended models to understand how age trends varied with alternative outcome definitions and data subsets, and examined correlations between TB age trends and sociodemographic determinants. We also estimated age-stratified notification-to-prevalence ratios as a measure of diagnostic delays for untreated TB. Findings: We included 82 unique surveys reporting age-stratified TB prevalence, spanning 30 countries and 4.6 million participants. These data demonstrated a pattern of increasing bacteriologically confirmed TB prevalence with older age, with each 10-year increase associated with a 30% (95% credible interval: 22, 38) increase in prevalence. TB prevalence for the oldest age group (75+: 796 per 100,000 [522, 1178]) was 6.4 (4.0, 10.4) times higher than the youngest (15-19: 127 per 100,000 [79, 186]), and positive age gradients were estimated for all countries (interquartile range: 23-40% increase per 10-year increase in age). Age gradients were lower in Africa compared to other regions, and for smear-positive compared to bacteriologically confirmed TB. Countries with HIV prevalence [&ge;]5% had flatter age gradients above 40 years of age. Age gradients declined slowly over the study period. Notification-to-prevalence ratios demonstrated a negative age gradient, declining by 10% (7, 14) per 10-year increase in age. Interpretation: The prevalence of untreated TB disease increases substantially throughout adulthood, and lower notification-to-prevalence ratios suggest poorer case detection among older individuals.

Background: Host response and biomarker research to advance sepsis therapeutics requires well-characterized cohorts with longitudinal biospecimens across a range of hosts and infections. Automated screening based on SIRS criteria is sensitive but nonspecific and identifies more candidates than research teams can approach, sample, and follow longitudinally. We evaluated a structured enrichment review by non-physician study staff, done after automated screening in a hospital-wide prospective sepsis cohort. Methods: The CISID cohort is a prospective observational study of hospitalized patients with suspected sepsis, enrolling adults from the ED, inpatient wards, and ICUs at a tertiary academic medical center. Patients were identified through: (1) automated electronic health record screening for two or more SIRS criteria with a 24-hour lookback, documentation of microbiologic culture or PCR, and receipt of a new antibiotic; (2) a sepsis enrichment step of structured chart review by trained non-physician study staff; and (3) discussion with the primary clinical team. Enrolled patients underwent physician adjudication into four diagnostic categories. To evaluate the enrichment step, we analyzed all patients screened during a 9-week period, assigned a composite "sepsis-likely" variable (CDC Adult Sepsis Event criteria or ICD-10 code R65.20/R65.21 within 48 hours before or after screening), and assessed mortality across each stage of screening. We also assessed concordance of the composite with physician adjudication among enrolled patients. Results: From November 2023 through February 2026, 4,318 patients screened in through EHR-based automated screening; 1,220 (28%) were flagged for enrollment, and 288 were enrolled. Physician adjudication classified 209 (73%) as sepsis, 46 (16%) as infection without sepsis, 14 (5%) were classified as undifferentiated critical illness, and 19 (6.6%) as non-infectious sepsis mimics. Patients with sepsis were severely ill (median SOFA score, 9; ICU admission, 80%; shock, 48%), and 51% were immunocompromised; mortality was 14% in hospital and 27% at 90 days. In a 9-week sample of 907 screened encounters, 21% of those deferred and 70% of those flagged for enrollment met the sepsis-likely composite, a 3.3-fold increase in prevalence after structured study team review. Conclusions: A brief structured enrichment review after automated screening tripled the prevalence of EHR-based sepsis indicators among patients selected for enrollment, while concentrating enrollment efforts on roughly one-quarter of screened-in patients in this hospital-wide, all-source suspected-sepsis cohort. This approach may help prospective cohorts direct limited biospecimen resources toward patients most informative for host-response and biomarker research.

Background: Child-friendly sample collection methods are needed to improve microbiological tuberculosis diagnosis in children. We assessed the feasibility, diagnostic yield, safety, tolerability, and acceptability of nasopharyngeal aspirates (NPA) and stool sample collection for XpertMTB/RIF Ultra (Ultra) testing in children <5 years with severe pneumonia in six high tuberculosis incidence countries. Methods: We conducted a cross-sectional mixed-methods study (10/2020-03/2021) nested within the TB-Speed Pneumonia trial (NCT03831906) in 15 tertiary hospitals. Uptake and diagnostic yield of NPA and stool, sampled by trained nurses, were computed. Nurses documented NPA feasibility and related adverse events. NPA tolerability was assessed through discomfort/distress/pain scales completed by nurses, parents/caregivers, and children >3 years. Individual interviews investigated nurses and parents/caregivers perceptions and experiences of both procedures. Results: Of 542 children enrolled, 541 (99.8%) and 423 (75.5%) had NPA and stool samples successfully collected, respectively; 8 (1.5%) had positive Ultra on any sample, 8 (1.5%) on NPA, and 3 (0.6%) on stool samples. Nurses reported that NPA was difficult to collect in 27 (5.0%) children. 130 (24%) children had bloodstained NPA samples and <5% experienced transient heart rate deceleration, digestive or respiratory distress during NPA. Median nurse-assessed tolerability scores were 1/10 [0,3] before and 5/10 [2,6] during NPA. Although most respondents perceived NPA as painful, all appreciated that NPA aimed to improve child health. Nurses reported that NPA and stool collection was quicker, less invasive than gastric aspiration. Parents/caregivers trusted nurses skills and valued the novelty of NPA. All respondents easily engaged in stool collection, but were frustrated to depend on children passing stool. Nurses underlined that continuous staff training and mentoring would sustain feasibility and self-efficacy in obtaining adequate samples. Conclusions: NPA and stool are viable specimen collection options for microbiological diagnosis of tuberculosis in young children <5 years with severe pneumonia in high tuberculosis incidence countries.

Enteric pathogens account for a substantial global disease burden, yet population-based surveillance remains limited by the transient nature of pathogen shedding, which constrains the sensitivity of stool-based molecular testing to a narrow detection window. Detection of IgG responses in serological surveys could enable new insights into enteric pathogen transmission, but benchmarking serological measures relative to stool-based measures of infection remains a critical evidence gap. We compared measures of disease transmission in longitudinal birth cohort samples using multiplex IgG (1,601 dried blood spots, 370 children) and PCR assays (2,231 stool samples, 370 children) that overlapped for nine pathogens (norovirus GI, GII, Shigella/enteroinvasive Escherichia coli (EIEC), Campylobacter spp., enterotoxigenic Escherichia coli (LT-ETEC), Salmonella enterica, Giardia spp., Cryptosporidium spp., Entamoeba histolytica). LT-ETEC and Campylobacter ranked highest while E. histolytica and S. enterica ranked lowest by both IgG and PCR measures of infection. Measures of infection were less aligned for norovirus GI, norovirus GII, Cryptosporidium, Shigella/EIEC, and Giardia. Despite this, for most pathogens, and across both measures, force of infection was lowest in the urban city of Esmeraldas and substantially higher in more rural populations, with relative risks in assay measures (seroconversion rate and PCR detected prevalence) over 2.0 for pathogens with the largest differences (Shigella/EIEC and norovirus GI). Together, our results suggest that although absolute levels of infection differed between assays, IgG and PCR captured consistent relative risk of infection across geographic strata, suggesting either method can identify high- versus low-transmission settings.

In 2024, Chicago experienced a measles virus outbreak. Air samples collected as part of routine respiratory virus surveillance from three hospitals that received measles patients were retrospectively analyzed. Measles virus was detected in air samples from one emergency department across five weeks when measles patients were present and another when no known cases were present. Two of three viral sequences derived from air samples were identical to measles patients. The source of one diverging sequence could not be identified and may represent a case not identified by traditional surveillance methods. Air sampling may supplement measles investigation, surveillance and response.

Background Cancer incidence and mortality are rising in Africa, yet the distribution and determinants of cancer in high HIV-prevalence regions remain limited. We characterized cancer epidemiology, treatment, and survival among adults in western Kenya, where HIV prevalence ranges between 10.3% and 11.7%. Methods This retrospective cohort study included adults (18 years and older) with cancer treated at Jaramogi Oginga Odinga Teaching and Referral Hospital (JOOTRH) in Kisumu, Kenya, between Jan 1, 2014, and Dec 31, 2024, followed through June 30, 2025. Data were abstracted from paper records into REDCap. Negative binomial models estimated annual trends, Kaplan-Meier curves evaluated survival, and Cox proportional hazards models evaluated mortality. Findings Among 3978 patients (64% female; median age 53.9 years, IQR 42.0-65.1), annual case counts rose from 29 to 708, averaging a 38% annual increase (95% CI 29-48). Cervical (24%), esophageal (13.6%), breast (12%), prostate (8%), and colorectal (4%) cancers accounted for 62% of cases. 1305 (33%) of cancer patients were living with HIV and 802 (20%) had unknown HIV status. Among patients whose cancer was assigned a stage, 72% presented at stage III-IV. 1973 (50%) received cancer-directed treatment, and 51% had an unscheduled clinic visit lapse of at least 180 days. Cancer-directed treatment was the strongest protective factor for mortality (adjusted hazard ratio [aHR] 0.27, 95% CI 0.22-0.32); HIV-positive status (aHR 1.43, 1.19-1.71), HIV-unknown status (aHR 1.48, 1.20-1.81), and poor or missing performance status were independently associated with higher mortality, robust across sensitivity analyses. Interpretation Cancer mortality was strongly associated with treatment and HIV status at diagnosis. Closing the treatment-access gap and adopting routine opt-out HIV testing at the first oncology visit are essential for integrated cancer care in high-HIV-prevalence settings. Funding Research reported in this publication was supported by the American Cancer Society; the Washington University in St. Louis Institute of Clinical and Translational Sciences through a grant from the National Center for Advancing Translational Sciences (NCATs) of the National Institutes of Health; Just-in-Time funding, and the National Cancer Institute Center Support Grant P30CA091842.

Background: Pertussis has resurged in the post-COVID-19 era, yet diagnostic delay remains a barrier to timely treatment and transmission interruption, particularly among adults. Methods: Retrospective observational cohort study of 787 patients with confirmed pertussis from January 2016 through March 2026 across two South Carolina health systems. Electronic health record data from the 60 days preceding confirmation were used to characterize diagnostic timing (same-day vs. delayed), delay duration, and respiratory pathogen testing patterns including pertussis test modality. Results: Adults accounted for 48.4% of cases (median age 16 years [IQR 4-52]; 61.6% female). Same-day diagnosis was highest among children aged 1-4 years (75.4%) and lowest among adults aged 50 and older (approximately 50%). Among the 305 patients (38.8%) with delayed diagnosis, median delay ranged from 7-12 days in children to 22.5-26.5 days in adults aged 50 and older. Delay did not vary significantly by COVID-19 period, race, ethnicity, or insurance type. Testing breadth was greater in inpatient and emergency settings than outpatient. Pertussis testing was predominantly PCR-based in children but serologic in adults, potentially reflecting later clinical presentation relative to illness onset; however, the near-absence of PCR testing in older adults may contribute to missed diagnoses during the early illness window when PCR sensitivity is highest. Conclusions: Older adults experienced markedly delayed pertussis diagnoses compared with children. Earlier consideration of pertussis in adults with prolonged cough, including PCR testing early in illness before serologic conversion, may reduce diagnostic delay and facilitate timelier treatment and contact tracing.

Infected individuals drive infectious disease transmission, yet empirical data on social interactions during acute infection remain limited. We conducted a prospective longitudinal study of 1,000 medically attended acute gastroenteritis and acute respiratory infection cases and 709 household members in the northwestern United States from 2024 to 2025 to quantify illness-associated changes in social contacts and their implications for transmission modeling. Cases substantially reduced social contacts during peak illness; weighted mean number of contacts increased 2.0-fold (95% confidence interval, 1.8-2.2) over the two-week follow-up. In transmission modeling, the simulated outbreak trajectory and estimated effectiveness of interventions differed substantially between models that did and did not account for temporal reductions in social contacts during acute infection. These findings show that behavioral responses during acute infection could substantially influence transmission dynamics and intervention evaluation, and provide an empirical framework for incorporating illness-associated behavioral change into infectious disease models.

Background: Recombinant (RIV) and cell culture-based inactivated (ccIIV) influenza vaccines could improve seasonal influenza prevention; however, evidence is limited in how protection may differ among non-egg-based vaccines. Methods: We conducted a randomized trial of RIV versus ccIIV to compare vaccine immunogenicity in adults aged 18 to 64 years during the 2024-25 influenza season (ClinicalTrials.gov, NCT06518577). Active surveillance for influenza-like illness was conducted for six months post-vaccination and cumulative incidence of influenza by vaccine type was compared to estimate relative vaccine efficacy. Participants were tested for influenza by reverse-transcription polymerase chain reaction or rapid antigen tests. Immunogenicity was evaluated by hemagglutination inhibition (HAI), virus microneutralization (MN), and neuraminidase inhibition (NAI) assays in a subset of blood specimens collected pre-vaccination and one-month post-vaccination. Results: Among the 591 participants, 25 cases of influenza A were detected; 2.4% cumulative incidence among RIV recipients versus 6.1% among ccIIV recipients. The probability of influenza was 61% lower with RIV than ccIIV (95% confidence interval: 7 to 84). Among 151 participants, post-vaccination HAI and MN titers vaccine components were higher among RIV recipients while NAI titers were higher among ccIIV recipients. Conclusions: RIV provided better protection than ccIIV against influenza A illness in adults during the U.S. 2024-2025 season.

Background: Optimising sampling frames for genomic surveillance of E. coli and Klebsiella may support interventions to mitigate bloodstream infections (BSIs), but approaches to estimating sample size and how these relate to bacterial population diversity at multiple genetic levels (strain/plasmid/antimicrobial resistance genes [ARGs]) are lacking. Methods: Using systematically collected, regionally-stratified, whole genome sequencing data from a 6-month genomic survey of English E. coli/Klebsiella BSI isolates (n=1,939; NEKSUS), we used Bayesian approaches to estimate the sample sizes required to capture genetic diversity at strain- (MLST, fastBAPS clusters), plasmid- and ARG-levels, using two diversity measures: 'coverage' (i.e. proportion of the bacterial population/plasmids/ARGs represented by features observed in the sample), and the number/proportion of unique features observed at varying surveillance sample sizes. Our method is available as a user-friendly R Shiny application, EpiSENTRY (https://01a0c3dd-90d2-e597-58a5-51391a468387.share.connect.posit.cloud/). Findings: Randomly sampling 1,400 E. coli/Klebsiella BSI isolates each achieved [&ge;]80% coverage of bacterial lineages and ARGs (i.e. capture features constituting [&ge;]80% of the population) at 95% certainty, but captured lower proportions of unique features (28% MLSTs, 59% fastBAPS clusters, 19% plasmid subcommunities, and 57% ARGs for E. coli; 49%, 87%, 50% and 83% for Klebsiella, respectively). Sample sizes required for 80% coverage of E. coli plasmid populations were higher than MLSTs (1,928 [95% CrI: 1,837-2,025] vs 1,351 [1,230-1,472]), while for Klebsiella, estimates were lower for plasmids (1,115 [1,052-1,181] vs 1,422 [1,331-1,515] for MLSTs). Lower sample sizes adequately captured 80% coverage of fastBAPS clusters and ARGs (649 [575-727] and 27 [23-30], respectively, for E. coli; 113 [84-145] and 83 [72-96] for Klebsiella), due to feature-specific frequency distributions. Klebsiella BSIs were more diverse than E. coli, with sampling 10.9% vs 3.2% of total annual BSIs in England needed to reach 80% MLST coverage. Plasmid populations and Klebsiella MLSTs were region-specific, emphasising the need for regionally-representative sampling. Interpretation: Bayesian analysis facilitates estimates of context-specific genomic surveillance sample sizes. Cost-effective targets for coverage require further optimisation.

Objective: To evaluate the specimen-level performance of a multichannel electronic nose (e-nose) sensor array in classifying stool specimens into relevant Clostridioides difficile categories. Design: Retrospective single-center validation study with reference to polymerase chain reaction (PCR) and C. difficile toxin testing. Participants: A convenience sample of 31 discarded stool specimens with PCR and confirmatory toxin testing. Categorized into PCR-positive (+)/toxin+, PCR+/toxin-negative (-), and PCR-. Methods: Specimens were sampled in controlled headspace by two e-nose sensor arrays in 10-minute sessions with 5-second sampling intervals. The primary endpoint was one-versus rest classification performance (sensitivity, specificity, positive predictive value, and accuracy) into three classes: PCR+/toxin+, PCR+/toxin-, and PCR-. Data were normalized and the region of interest was extracted for training and testing. Random forests were utilized for classification of normalized data with a test-train split at the specimen-level. Results: There were 457 unique 10-minute sampling events (147 PCR+/toxin+, 183 PCR+/toxin-, 127 PCR-). Sensors 1 and 2 captured 20,331 and 23,538 unique 5-second exposures within the region of interest, respectively. Testing data classification accuracy was 0.79 [0.78, 0.81] and 0.84 [0.83, 0.85] for Sensors 1 and 2. Sensitivity for PCR+/toxin+ exposures was 0.82 [0.79, 0.84] and 0.94 [0.92, 0.95], and specificity was 0.91[0.90, 0.93] and 0.93 [0.92, 0.94] for Sensors 1 and 2. Conclusion: An e-nose sensor array partially differentiated PCR-classified C. difficile specimen classes at the exposure level under headspace-controlled conditions. Performance was strongest for PCR+/toxin+ exposures. Findings support further prospective validation in the hospital room setting.