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Introduction: Constipation has a high prevalence of 30-40% in those aged over 65. It can lead to complications including delirium, faecal impaction, stercoral ulceration, and bowel obstruction. Although stool charts are used in geriatric wards to monitor bowel movements to guide management of constipation, they are often inconsistently recorded. Similarly, regular laxatives are often not prescribed for constipated patients due to ward pressures or unawareness regarding their importance. Aims: Our aims were to audit the rates of recording on stool charts and laxative prescription in a geriatrics department, and to assess whether amultifactorial intervention aimed at both doctors and nursing staff improved these rates. Methods: Two independent assessors audited the recording of stool charts, and rates of constipating medications and laxative prescription in two geriatrics wards in a tertiary UK hospital. A multifactorial intervention was implemented, consisting of didactic sessions for doctors and nurses, healthcare assistant champions to promote the recording of stool charts, and consolidation of bowel movement recording onto a single paper stool chart by the bedside rather than multiple charts. After the intervention, the data was re-audited on the same wards. Descriptive statistics and frequency tabulation were used for data analysis. Results: Data was collected from 33 patients. Pre-intervention, stool charts were recorded daily in 13 patients, 10 patients had no stool chart record, 20 patients were on at least one constipating medication, 12 patients were prescribed at least one laxative, and 5 out of 7 patients with opiates had laxatives co-prescribed. Post-intervention, stool charts were recorded daily in 21 patients, all patients had a stool chart record, 20 patients were on at least one constipating medication, 23 patients were prescribed at least one laxative, and 2 out of 4 patients with opiates had laxatives co-prescribed. Our intervention improved daily recording on stool charts by 24%, resulted in all patients having a current stool chart and improved prescription of regular laxatives by 34%. Conclusions: A multifactorial intervention based on educational sessions, healthcare assistants acting as champions, and consolidation of recording of bowel movements into a single chart, improved stool chart recording and prescription of regular laxatives in a tertiary geriatrics department. Future auditing will extend the sample size and generalise the intervention to other hospital departments. [ABSTRACT FROM AUTHOR]

Systemic sclerosis (SSc) is a multisystem connective tissue disease characterised by pathological processes involving autoimmunity, vasculopathy and resultant extensive skin and organ fibrosis. Recent studies have demonstrated activation and aberrant wound healing responses in the epithelial layer of the skin in this disease, implicating the epithelial keratinocytes as a source of pro-fibrotic and inflammatory mediators. In this paper, we investigated the role of Immunoglobulin G (IgG) autoantibodies directed against epithelial cells, as potential initiators and propagators of pathological keratocyte activation and the ensuing SSc fibrotic cascade. A keratinocyte cell-based ELISA is used to evaluate the binding of SSc IgG. SSc skin biopsies were stained by immunofluorescence for the presence of IgG in the keratinocyte layer. Moreover, IgG purified from SSc sera was evaluated for the potential to activate keratinocytes in tissue culture and to induce TLR2 and 3 signalling in reporter cell lines. We demonstrate enhanced binding of SSc IgG to keratinocytes and the activation of these cells leading to the release of IL-1α, representing a potential initiating pathway in this disease.

Background: The use of social media assists in the distribution of information about COVID-19 to the general public and health professionals. Alternative-level metrics (ie, Altmetrics) is an alternative method to traditional bibliometrics that assess the extent of dissemination of a scientific article on social media platforms., Objective: Our study objective was to characterize and compare traditional bibliometrics (citation count) with newer metrics (Altmetric Attention Score [AAS]) of the top 100 Altmetric-scored articles on COVID-19., Methods: The top 100 articles with the highest AAS were identified using the Altmetric explorer in May 2020. AAS, journal name, and mentions from various social media platforms (Twitter, Facebook, Wikipedia, Reddit, Mendeley, and Dimension) were collected for each article. Citation counts were collected from the Scopus database., Results: The median AAS and citation count were 4922.50 and 24.00, respectively. TheNew England Journal of Medicine published the most articles (18/100, 18%). Twitter was the most frequently used social media platform with 985,429 of 1,022,975 (96.3%) mentions. Positive correlations were observed between AAS and citation count (r 2 =0.0973; P=.002)., Conclusions: Our research characterized the top 100 COVID-19-related articles by AAS in the Altmetric database. Altmetrics could complement traditional citation count when assessing the dissemination of an article regarding COVID-19., International Registered Report Identifier (irrid): RR2-10.2196/21408., (©Haley Tornberg, Carine Moezinia, Chapman Wei, Simone A Bernstein, Chaplin Wei, Refka Al-Beyati, Theodore Quan, David J Diemert. Originally published in JMIR Formative Research (https://formative.jmir.org), 12.07.2023.)

We present the case of a teenaged boy who attended our Ear, Nose and Throat Emergency clinic with a left-sided lower motor neuron (LMN) facial nerve paralysis associated with sensory loss in the distribution of the ophthalmic (V1) and maxillary (V2) divisions of the trigeminal nerve. This happened 3 days following a first dose of the Pfizer-BioNTech BNT162b2 vaccine. He had a House-Brackmann grade V facial palsy, with marked inability to close the left eye. He was treated with a 10-day course of oral steroids and referred to ophthalmology for eye care. He had an MRI scan of the head, which revealed no space occupying lesions or other abnormalities. Over the 6-week period of follow-up, the patient's V1 and V2 sensation gradually resolved, along with improvement of his LMN facial nerve palsy to House-Brackmann grade 3. Despite the potential temporal relationship, it is not possible to establish a causal relationship between the patient's symptoms and the Pfizer-BioNTech BNT162b2 vaccine, thus further research is required., Competing Interests: Competing interests: None declared., (© BMJ Publishing Group Limited 2023. No commercial re-use. See rights and permissions. Published by BMJ.)

Background: The use of social media assists in the distribution of COVID-19 information to the general public and health professionals. Alternative-level metrics (ie, altmetrics) and PlumX metrics are new bibliometrics that can assess how many times a scientific article has been shared and how much a scientific article has spread within social media platforms., Objective: Our objective was to characterize and compare the traditional bibliometrics (ie, citation count and impact factors) and new bibliometrics (ie, Altmetric Attention Score [AAS] and PlumX score) of the top 100 COVID-19 articles with the highest AASs., Methods: The top 100 articles with highest AASs were identified with Altmetric Explorer in May 2020. The AASs, journal names, and the number of mentions in various social media databases of each article were collected. Citation counts and PlumX Field-Weighted Citation Impact scores were collected from the Scopus database. Additionally, AASs, PlumX scores, and citation counts were log-transformed and adjusted by +1 for linear regression, and Spearman correlation coefficients were used to determine correlations., Results: The median AAS, PlumX score, and citation count were 4922.50, 37.92, and 24.00, respectively. The New England Journal of Medicine published the most articles (18/100, 18%). The highest number of mentions (985,429/1,022,975, 96.3%) were found on Twitter, making it the most frequently used social media platform. A positive correlation was observed between AAS and citation count (r 2 =0.0973; P=.002), and between PlumX score and citation count (r 2 =0.8911; P<.001)., Conclusions: Our study demonstrated that citation count weakly correlated with AASs and strongly correlated with PlumX scores, with regard to COVID-19 articles at this point in time. Altmetric and PlumX metrics should be used to complement traditional citation counts when assessing the dissemination and impact of a COVID-19 article., (©Haley N Tornberg, Carine Moezinia, Chapman Wei, Simone A Bernstein, Chaplin Wei, Refka Al-Beyati, Theodore Quan, David J Diemert. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 14.01.2021.)