Evaluation of the epidemiology of peanut allergy in the United Kingdom.

Aims: To describe the epidemiology of peanut allergy (PA) in the UK over the last three decades.Methods: PA patients were identified from the Clinical Practice Research Datalink between 1987 and 2015. Incidence and prevalence of PA were compared between 2000 and 2015. Prevalence and relative risk (RR) of atopic comorbidities, anaphylaxis, adrenaline prescriptions versus matched controls were calculated.Results: Point prevalence of PA in the entire population and those <18 years increased from 31 to 202 and 116 to 635 per 100,000, respectively, between 2000 and 2015. Incidence increased from 8.6 to 18.2 per 100,000. Incidence in 2015 was 105 cases per 100,000 aged 0-4 years versus 13.4 per 100,000 aged 5+ years. Anaphylactic events affected 1.2% of the cases and 0.007% of the controls. The rate of adrenaline prescriptions was 5,910 per 100,000 person-years for PA patients. RRs for asthma, eczema and allergic rhinitis in PA patients versus controls were 4.5 (95% CI 4.2-4.8), 3.2 (3.1-3.4) and 2.6 (2.4-3.0), respectively.Conclusions: The prevalence and incidence of PA increased markedly over the study period. PA was associated with atopic conditions and anaphylaxis. PA patients had increased adrenaline prescriptions.

Evaluation of the healthcare resource use and the related financial costs of managing peanut allergy in the United Kingdom.

Aims: We aimed to estimate the resource use and associated costs for patients with peanut allergy (PA) compared to matched controls. Methods: This was a retrospective cohort study using data from the UK Clinical Practice Research Datalink and Hospital Episode Statistics. PA patients were matched to two control cohorts: the first (simple-matched) were matched 1:1 on year of birth, general practice, gender and registration year. The second (atopy-matched) were matched on the same characteristics plus presence/absence of an atopic condition. Prescriptions and primary and secondary care contacts were compared between cases and controls. Results: 15,483 peanut-allergic patients were identified: 13,609 (87.9%) were simple-matched and 9,320 (60.2%) atopy-matched. The total per person annual incremental health-care costs associated with PA were £253 (atopy-matched) and £333 (simple-matched). For those with PA and a prior anaphylaxis incremental costs were £662, for those prescribed an epinephrine autoinjector incremental costs were £392. Extrapolated to the U.K. population, total excess costs of PA were between £33 and 44 million in 2015. Conclusions: Patients with PA had increased health-care contacts and consequently increased associated costs compared to controls. Observation bias should be considered in interpretation, but this study suggests that PA presents significant burden to health-care systems.

Hospital admissions for severe infections in people with chronic kidney disease in relation to renal disease severity and diabetes status.

BACKGROUND: Immunosuppressive agents are being investigated for the treatment of chronic kidney disease (CKD) but may increase risk of infection. This was a retrospective observational study intended to evaluate the risk of hospitalized infection in patients with CKD, by estimated glomerular filtration rate (eGFR) and proteinuria status, aiming to identify the most appropriate disease stage for immunosuppressive intervention. METHODS: Routine UK primary-care and linked secondary-care data were extracted from the Clinical Practice Research Datalink. Patients with a record of CKD were identified and grouped into type 2, type 1 and nondiabetes cohorts. Time-dependent, Cox proportional hazard models were used to determine the likelihood of hospitalized infection. RESULTS: We identified 97 839 patients with a record of CKD, of these 11 719 (12%) had type 2 diabetes. In these latter patients, the adjusted hazard ratios (aHR) were 1.00 (95% CI: 0.80-1.25), 1.00, 1.03 (95% CI: 0.92-1.15), 1.36 (95% CI: 0.20-1.54), 1.82 (95% CI: 1.54-2.15) and 2.41 (95% CI: 1.60-3.63) at eGFR stages G1, G2 (reference), G3a, G3b, G4 and G5, respectively; and 1.00, 1.45 (95% CI: 1.29-1.63) and 1.91 (95% CI: 1.67-2.20) at proteinuria stages A1 (reference), A2 and A3, respectively. All aHRs (except G1 and G3a) were significant, with similar patterns observed within the non-DM and overall cohorts. CONCLUSIONS: eGFR and degree of albuminuria were independent markers of hospitalized infection in both patients with and without diabetes. The same patterns of hazard ratios of eGFR and proteinuria were seen in CKD patients regardless of diabetes status, with the risk of each outcome increasing with a decreasing eGFR and increasing proteinuria. Infection risk increased significantly from eGFR stage G3b and proteinuria stage A2 in type 2 diabetes. Treating type 2 DM patients with CKD at eGFR stages G1-G3a with immunosuppressive therapy may therefore provide a favourable risk-benefit ratio (G1-G3a in type 2 diabetes; G1-G2 in nondiabetes and overall cohorts) although the degree of proteinuria needs to be considered.

Non-Response to Antibiotic Treatment in Adolescents for Four Common Infections in UK Primary Care 1991-2012: A Retrospective, Longitudinal Study.

We studied non-response rates to antibiotics in the under-reported subgroup of adolescents aged 12 to 17 years old, using standardised criteria representing antibiotic treatment failure. Routine, primary care data from the UK Clinical Practice Research Datalink (CPRD) were used. Annual, non-response rates by antibiotics and by indication were determined. We identified 824,651 monotherapies in 415,468 adolescents: 368,900 (45%) episodes for upper respiratory tract infections (URTIs), 89,558 (11%) for lower respiratory tract infections (LRTIs), 286,969 (35%) for skin/soft tissue infections (SSTIs) and 79,224 (10%) for acute otitis media (AOM). The most frequently prescribed antibiotics were amoxicillin (27%), penicillin-V (24%), erythromycin (11%), flucloxacillin (11%) and oxytetracycline (6%). In 1991, the overall non-response rate was 9.3%: 11.9% for LRTIs, 9.5% for URTIs, 7.1% for SSTIs, 9.7% for AOM. In 2012, the overall non-response rate was 9.2%. Highest non-response rates were for AOM in 1991-1999 and for LRTIs in 2000-2012. Physicians generally prescribed antibiotics to adolescents according to recommendations. Evidence of antibiotic non-response was less common among adolescents during this 22-year study period compared with an all-age population, where the overall non-response rate was 12%.

The impact of comorbid cannabis and methamphetamine use on mental health among regular ecstasy users.

OBJECTIVE: Residual effects of ecstasy use induce neurotransmitter changes that make it biologically plausible that extended use of the drug may induce psychological distress. However, there has been only mixed support for this in the literature. The presence of polysubstance use is a confounding factor. The aim of this study was to investigate whether regular cannabis and/or regular methamphetamine use confers additional risk of poor mental health and high levels of psychological distress, beyond regular ecstasy use alone. METHOD: Three years of data from a yearly, cross-sectional, quantitative survey of Australian regular ecstasy users was examined. Participants were divided into four groups according to whether they regularly (at least monthly) used ecstasy only (n=936), ecstasy and weekly cannabis (n=697), ecstasy and weekly methamphetamine (n=108) or ecstasy, weekly cannabis and weekly methamphetamine (n=180). Self-reported mental health problems and Kessler Psychological Distress Scale (K10) were examined. RESULTS: Approximately one-fifth of participants self-reported at least one mental health problem, most commonly depression and anxiety. The addition of regular cannabis and/or methamphetamine use substantially increases the likelihood of self-reported mental health problems, particularly with regard to paranoia, over regular ecstasy use alone. Regular cannabis use remained significantly associated with self reported mental health problems even when other differences between groups were accounted for. Regular cannabis and methamphetamine use was also associated with earlier initiation to ecstasy use. CONCLUSIONS: These findings suggest that patterns of drug use can help identify at risk groups that could benefit from targeted approaches in education and interventions. Given that early initiation to substance use was more common in those with regular cannabis and methamphetamine use and given that this group had a higher likelihood of mental health problems, work around delaying onset of initiation should continue to be a priority.

Water potential of standing-dead shoots of an intertidal grass.

Dead stems and leaves of smooth cordgrass (Spartina alterniflora Loisel.) undergo substantial fungal decay in the standing position. We conducted a series of experiments to determine the probable range of water availabilities that cordgrass-fungal decomposers experience; we determined the effects of duration of wetting and drying, site on shoots, leaching of osmotica, and stage of decomposition on water potential (ψ) of cordgrass shoots. Dried pieces of cordgrass shoots took up water rapidly when submerged, rising from values which were probably less than -150 megapascals (MPa) water potential to about -3.5 (soaked in seawater) or -1.5 (soaked in tapwater) within 5 min. Air-drying resulted in a return to low ψ (<-7.5 MPa) within an hour. Literature reports show that most litter and wood-decomposing fungi which have been tested cannot grow at ψ more negative than -6 MPa. The more lignified stems showed a more negative matric ψ than leaves at water contents greater than 25% fresh weight. As leaves decomposed in the marsh, their ψ increased (from -1.7 to -0.5 MPa, under standard conditions of 30 min freshwater soaking and 30 min air-drying), similar to what other investigators have found for wheat and forest litter. The water content at which cordgrass leaves reached -6 MPa was about 23% fresh weight, within the range (15-32%) found for wheat straw and forest litter.