1,721,066 research outputs found
Antibiotic use and serious complications following acute otitis media and acute sinusitis: a retrospective cohort study
Background Most people with acute otitis media (AOM) and acute sinusitis (AS) do not benefit from antibiotics, and GPs are under increasing pressure to reduce antibiotic prescribing. Concern about the risk of complications can drive unnecessary prescribing. Aim To describe the incidence of serious complications following AOM and AS, and to determine whether antibiotics are protective. Design and setting This was a retrospective cohort study using the Clinical Practice Research Datalink database to identify patients diagnosed in general practice with AOM or AS between 1 January 1982 and 31 December 2012. Method The incidence of brain abscess and acute mastoiditis following AOM, and of brain abscess and orbital cellulitis following AS, were calculated, as was the association between antibiotics and the development of these complications and numbers needed to treat (NNT). Results The incidence of brain abscess and acute mastoiditis following AOM were 0.03 (95% confidence interval [CI] = 0.01 to 0.20) and 5.62 (95% CI = 4.81 to 6.56) per 10 000 AOM episodes, respectively. The incidence of brain abscess and orbital cellulitis following AS was 0.11 (95% CI = 0.05 to 0.26) and 1.50 (95% CI = 1.17 to 1.90) per 10 000 AS episodes, respectively. Antibiotic prescription for AOM was associated with lower odds of developing acute mastoiditis (odds ratio [OR] 0.54; 95% CI = 0.37 to 0.79); NNT to prevent one case was 2181 (95% CI = 1196 to 5709). Antibiotic prescribing for AS was associated with lower odds of subsequent brain abscess (OR 0.12; 95% CI = 0.02 to 0.70); NNT to prevent one case was 19 988 (95% CI = 4951 to 167 099). No significant association between antibiotic prescription and development of orbital cellulitis following AS were found (OR 0.56; 95% CI = 0.27 to 1.12). Conclusion Serious complications following AOM and AS are rare. Antibiotics are associated with lower odds of developing complications, but the NNT are large.</p
Biomarkers to guide the use of antibiotics for acute exacerbations of COPD (AECOPD): a systematic review and meta-analysis
Background
Antibiotics are frequently prescribed for acute exacerbations of COPD (AECOPD) even though most do not have a bacterial aetiology. Biomarkers may help clinicians target antibiotic use by identifying AECOPD caused by bacterial pathogens. We aimed to summarise current evidence on the diagnostic accuracy of biomarkers for detecting bacterial versus non-bacterial AECOPD.
Methods
We searched Embase and Medline using a search strategy including terms for COPD, biomarkers and bacterial infection. Data regarding diagnostic accuracy for each biomarker in predicting bacterial cause of exacerbation were extracted and summarised. We used to QUADAS-2 tool to assess risk of bias.
Results
Of 509 papers identified, 39 papers evaluating 61 biomarkers were eligible for inclusion. Moderate quality evidence was found for associations between serum C-reactive protein (CRP), serum procalcitonin (PCT), sputum interleukin (IL)-8 and sputum tumour necrosis factor alpha (TNF-α), and the presence of bacterial pathogens in the sputum of patients with AECOPD. Having bacterial pathogens was associated with a mean difference (higher) CRP and PCT of 29.44 mg/L and 0.76 ng/mL respectively. There was inconsistent or weak evidence for associations between bacterial AECOPD and higher levels of sputum IL-1β, IL-6, myeloperoxidase (MPO) and neutrophil elastase (NE). We did not find any consistent evidence of diagnostic value for other biomarkers.
Conclusions
There is moderate evidence from heterogeneous studies that serum CRP and PCT are of value in differentiating bacterial from non-bacterial AECOPD, and little evidence for other biomarkers. Further high-quality research on the role of biomarkers in identifying bacterial exacerbations is needed
Time to resolution and effect on quality of life of molluscum contagiosum in children in the UK: a prospective community cohort study
Background:
Molluscum contagiosum is one of the 50 most prevalent diseases worldwide, but scarce epidemiological data exist for childhood molluscum contagiosum. We aimed to describe the time to resolution, transmission to household child contacts, and effect on quality of life of molluscum contagiosum in children in the UK.
Methods:
Between Jan 1, and Oct 31, 2013, we recruited 306 children with molluscum contagiosum aged between 4 and 15 years in the UK either by referral by general practitioner or self-referral (with diagnosis made by parents by use of the validated Molluscum Contagiosum Diagnostic Tool for Parents [MCDTP]). All participants were asked to complete a questionnaire at recruitment about participant characteristics, transmission, and quality of life. We measured quality of life with the Children's Dermatology Life Quality Index (CDLQI). Participants were prospectively followed up every month to check on their recovery from molluscum contagiosum and transmission to other children in the same household, until the child's lesions were no longer visible.
Findings:
The mean time to resolution was 13·3 months (SD 8·2). 80 (30%) of 269 cases had not resolved by 18 months; 36 (13%) had not resolved by 24 months. We recorded transmission to other children in the household in 102 (41%) of 250 cases. Molluscum contagiosum had a small effect on quality of life for most participants, although 33 (11%) of 301 participants had a very severe effect on quality of life (CDLQI score >13). A greater number of lesions was associated with a greater effect on quality of life (H=55·8, p<0·0001).
Interpretation:
One in ten children with molluscum contagiosum is likely to have a substantial effect on their quality of life and therefore treatment should be considered for some children, especially those with many lesions or who have been identified as having a severe effect on quality of life. Patients with molluscum contagiosum and their parents need to be given accurate information about the expected natural history of the disorder. Our data provide the most reliable estimates of the expected time to resolution so far and can be used to help set realistic expectations
Antibiotic use and deprivation: an analysis of Welsh primary care antibiotic prescribing data by socioeconomic status
OBJECTIVES: To examine the association between socioeconomic status (SES) and antibiotic prescribing, controlling for the presence of common chronic conditions and other potential confounders and variation amongst GP practices and clusters.METHODS: This was an electronic cohort study using linked GP and Welsh Index of Multiple Deprivation (WIMD) data. The setting was GP practices contributing to the Secure Anonymised Information Linkage (SAIL) Databank 2013-17. The study involved 2.9 million patients nested within 339 GP practices, nested within 67 GP clusters.RESULTS: Approximately 9 million oral antibiotics were prescribed between 2013 and 2017. Antibiotic prescribing rates were associated with WIMD quintile, with more deprived populations receiving more antibiotics. This association persisted after controlling for patient demographics, smoking, chronic conditions and clustering by GP practice and cluster, with those in the most deprived quintile receiving 18% more antibiotic prescriptions than those in the least deprived quintile (incidence rate ratio = 1.18; 95% CI = 1.181-1.187). We found substantial unexplained variation in antibiotic prescribing rates between GP practices [intra-cluster correlation (ICC) = 47.31%] and GP clusters (ICC = 12.88%) in the null model, which reduced to ICCs of 3.50% and 0.85% for GP practices and GP clusters, respectively, in the final adjusted model.CONCLUSIONS: Antibiotic prescribing in primary care is increased in areas of greater SES deprivation and this is not explained by differences in the presence of common chronic conditions or smoking status. Substantial unexplained variation in prescribing supports the need for ongoing antimicrobial stewardship initiatives.</p
Epidemiology of molluscum contagiosum in children: a systematic review
Background. Molluscum contagiosum (MC) is a common skin condition that primarily affects children, a common reason for presenting in primary care and is commonly seen in children presenting with other conditions in primary and secondary care. It is usually asymptomatic but can present with pain, pruritus, erythema and bacterial superinfection.
Aim. To synthesize the current epidemiology of MC.
Design and setting. A systematic literature review of bibliographical databases on the prevalence, incidence, risk factors, age distribution and association with other conditions for MC in children.
Results. Data on the epidemiology of MC is largely of poor quality. The largest incidence is in children aged between 0 and 14 years, where the incidence rate ranged from 12 to 14 episodes per 1000 children per year. Incidence rates in the UK were highest in those aged 1–4 years. Meta-analysis suggests a point prevalence in children aged 0–16 years of between 5.1% and 11.5%. There is evidence for an association between swimming and having MC and MC is more common in those with eczema; however, there is little evidence for other risk factors.
Conclusions. MC is a common condition, with the greatest incidence being in those aged 1–4 years. Swimming and eczema are associated with the presence of MC, but the causal relationships are unclear. There is a lack of data regarding the natural history of MC and published data are insufficient to determine temporal or geographic patterns in incidence, risk factors, duration of symptoms or transmission between family members
Development and validation of the Molluscum Contagiosum Diagnostic Tool for Parents: diagnostic accuracy study in primary care
Background: Molluscum contagiosum (MC) is diagnosed by its distinct appearance. Parental diagnosis of MC may reduce anxiety and lead to reductions in healthcare consultations, and may be particularly useful in large-scale epidemiological studies. However, there are currently no published, validated tools allowing parental diagnosis of MC.
Aim: To develop and validate a tool for parental diagnosis of MC.
Design and setting: The Molluscum Contagiosum Diagnostic Tool for Parents (MCDTP) was developed and its diagnostic accuracy was compared with GP diagnosis in 12 GP surgeries in South Wales.
Method: Following development, which involved three phases with dermatologists, nurses, GPs, and parents, parents completed the MCDTP (index test) in the practice waiting room, and rated their confidence in their diagnosis. A GP then examined their child for MC (reference test). Test characteristics were calculated for all responders and for those who expressed being confident or very confident in their diagnosis.
Results: A total of 203 parents completed the MCDTP. The MCDTP showed a sensitivity of 91.5% (95% confidence intervals (CI) = 81.3 to 97.2) and a specificity of 88.2% (95% CI = 81.8 to 93.0) in all parents and a sensitivity of 95.8% (95% CI = 85.7 to 99.5) and a specificity of 90.9% (95% CI = 83.9 to 95.6) in parents who were confident or very confident in their diagnosis. The positive predictive value was 76.1% (95% CI = 64.5 to 85.4) and negative predictive value was 96.2% (95% CI = 91.4 to 98.8) for all parents.
Conclusion: The MCDTP performed well compared with GP diagnosis and is suitable for clinical use by parents and in population-based studies
Impact of antibiotic treatment duration on outcomes in older men with suspected urinary tract infection: retrospective cohort study
Purpose: clinical guidelines recommend at least 7 days of antibiotic treatment for older men with urinary tract infection (UTI). There may be potential benefits for patients, health services, and antimicrobial stewardship if shorter antibiotic treatment resulted in similar outcomes. We aimed to determine if treatment duration could be reduced by estimating risk of adverse outcomes according to different prescription durations. Methods: this retrospective cohort study included men aged greater than or equal to 65 years old with a suspected UTI. We compared outcomes in men prescribed 3, 5, 7, and 8 to 14 days of antibiotic treatment in a multivariable logistic regression analysis and 3 versus 7 days in a propensity?score matched analysis. Our outcomes were reconsultation and represcription (proxy for treatment failure), hospitalisation for UTI, sepsis, or acute kidney injury (AKI), and death. Results: of 360 640 men aged greater than or equal to 65 years, 33 745 (9.4 had a UTI. Compared with 7 days, men prescribed 3?day treatment had greater odds of reconsultation and represcription (adjusted OR 1.48; 95% CI, 1.25?1.74) but lower odds of AKI hospitalisation (adjusted OR 0.66; 95% CI, 0.45?0.97). We estimated that treating 150 older men with 3 days instead of 7 days of antibiotics could result in four extra reconsultation and represcriptions and one less AKI hospitalisation. We estimated annual prescription cost savings at around pounds2.2 million. Conclusions: antibiotic treatment for older men with suspected UTI could be reduced to 3 days, albeit with a small increase in risk of treatment failure. A definitive randomised trial is urgently needed
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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