Cutaneous manifestations of myelodysplastic syndrome: A systematic review.

Myelodysplastic syndrome (MDS) may present with specific skin lesions, such as leukaemia cutis, which is a well known poor prognostic marker of leukaemia with a high risk of acute leukaemic transformation. However, less is known regarding non-specific cutaneous manifestations of MDS including the prevalence, types and their prognostic and therapeutic significance, which we aimed to determine through this systematic review. We searched electronic databases (PubMed, Medline and EMBASE) from inception up to 26 January 2023 for studies reporting cutaneous manifestations of MDS. Eighty eight articles (case reports n = 67, case series n = 21), consisting of 134 patients were identified. We identified 6 common cutaneous manifestations: neutrophilic dermatoses (n = 64), vasculitis (n = 21), granulomatous (n = 8), connective tissue disease (CTD) (n = 7; composed of dermatomyositis (n = 5), cutaneous lupus erythematosus (n = 1), and systemic sclerosis (n = 1)), panniculitis (n = 4), immunobullous (n = 1), and other (n = 29). Cutaneous features either occurred at time of MDS diagnosis in 25.3%, preceding the diagnosis in 34.7% (range 0.5-216 months), or after diagnosis in 40.0% (range 1-132 months). Prognosis was poor (40.2% death) with 34.1% progressing to acute myeloid leukaemia (AML). 50% of those with MDS who progressed to AML had neutrophilic dermatoses (p = 0.21). Myelodysplastic syndrome was fatal in 39.2% of neutrophilic dermatoses (median time from onset of cutaneous manifestation: 12 months), 50% of vasculitis (7.5 months), 62.5% of granulomatous (15.5 months) and 14.3% of CTD (7 months). Recognition of patterns of cutaneous features in MDS will improve early diagnosis and risk stratification according to subtype and associated prognosis.

Predicting the outcome of plantar heel pain in adults: a systematic review of prognostic factors.

BACKGROUND: Plantar Heel Pain (PHP) is a common disorder with many treatment pathways and is not self-limiting, hence prognostic information concerning recovery or recalcitrance is needed to guide practice. In this systematic review, we investigate which prognostic factors are associated with favourable or unfavourable PHP outcomes. METHODS: MEDLINE, Web of Science, EMBASE, Scopus and PubMed electronic bibliographic databases were searched for studies evaluating baseline patient characteristics associated with outcomes in prospective longitudinal cohorts or after specific interventions. Cohort, clinical prediction rule derivation and single arms of randomised controlled trials were included. Risk of bias was evaluated with method-specific tools and evidence certainty with GRADE. RESULTS: The review included five studies which evaluated 98 variables in 811 participants. Prognostic factors could be categorised as demographics, pain, physical and activity-related. Three factors including sex and bilateral symptoms (HR: 0.49[0.30-0.80], 0.33[0.15-0.72], respectively) were associated with a poor outcome in a single cohort study. The remaining four studies reported twenty factors associated with a favourable outcome following shockwave therapy, anti-pronation taping and orthoses. Heel spur (AUC = 0.88[0.82-0.93]), ankle plantar-flexor strength (Likelihood ratio (LR): 2.17[1.20-3.95]) and response to taping (LR = 2.17[1.19-3.90]) were the strongest factors predicting medium-term improvement. Overall, the study quality was low. A gap map analysis revealed an absence of research that included psychosocial factors. CONCLUSIONS: A limited number of biomedical factors predict favourable or unfavourable PHP outcomes. High quality, adequately powered, prospective studies are required to better understand PHP recovery and should evaluate the prognostic value of a wide range of variables, including psychosocial factors.

Deep palmar phenotyping in atopic eczema: patterns associated with filaggrin variants, disease severity and barrier function in a South Asian population.

BACKGROUND: Hyperlinear palms are described as a feature of loss-of-function (LoF) variants in filaggrin (FLG). OBJECTIVES: To explore the phenotype of participants (age < 31 years) with atopic eczema of Bangladeshi ancestry from East London and investigate which factors best associate with LoF FLG variants. METHODS: A cross-sectional study with participants recruited between May 2018 and December 2020. Patterns of palmar linearity were categorized and modelled with the Eczema Area and Severity Index (EASI), transepidermal water loss (TEWL), skin hydration (SH) and LoF FLG variants. RESULTS: There were 506 complete cases available. Five palm patterns were noted. The 'prominent diamond' pattern associated best with EASI [marginal effects (ME) 2.53, 95% confidence interval (CI) 1.74-3.67], SH (ME 0.85, 95% CI 0.78-0.96) and TEWL (ME 1.32, 95% CI 1.11-1.62). Using five palm patterns had some ability to discriminate LoF FLG variants [area under the receiver operator characteristic (AUROC) 76.32%, 95% CI 71.91-80.73], improving to 77.99% (73.70-82.28) with the addition of SH. In subgroup analysis with only fine perpendicular/prominent diamond patterns the AUROC was 89.11% (95% CI 84.02-94.19). CONCLUSIONS: This was a single-centre study design with humans classifying clinical patterns. The stability of temperature and humidity was not guaranteed across TEWL and SH measurements despite using a climate-controlled room. Palm patterns associate with EASI and TEWL. The fine perpendicular/prominent diamond patterns are markers to detect the absence/presence of LoF FLG variants, respectively.

Determining the clinical applicability of machine learning models through assessment of reporting across skin phototypes and rarer skin cancer types: A systematic review.

Machine learning (ML) models for skin cancer recognition may have variable performance across different skin phototypes and skin cancer types. Overall performance metrics alone are insufficient to detect poor subgroup performance. We aimed (1) to assess whether studies of ML models reported results separately for different skin phototypes and rarer skin cancers, and (2) to graphically represent the skin cancer training datasets used by current ML models. In this systematic review, we searched PubMed, Embase and CENTRAL. We included all studies in medical journals assessing an ML technique for skin cancer diagnosis that used clinical or dermoscopic images from 1 January 2012 to 22 September 2021. No language restrictions were applied. We considered rarer skin cancers to be skin cancers other than pigmented melanoma, basal cell carcinoma and squamous cell carcinoma. We identified 114 studies for inclusion. Rarer skin cancers were included by 8/114 studies (7.0%), and results for a rarer skin cancer were reported separately in 1/114 studies (0.9%). Performance was reported across all skin phototypes in 1/114 studies (0.9%), but performance was uncertain in skin phototypes I and VI from minimal representation of the skin phototypes in the test dataset (9/3756 and 1/3756, respectively). For training datasets, although public datasets were most frequently used, with the most widely used being the International Skin Imaging Collaboration (ISIC) archive (65/114 studies, 57.0%), the largest datasets were private. Our review identified that most ML models did not report performance separately for rarer skin cancers and different skin phototypes. A degree of variability in ML model performance across subgroups is expected, but the current lack of transparency is not justifiable and risks models being used inappropriately in populations in whom accuracy is low.

The impact of instrumented gait analysis on decision-making in the interprofessional management of cerebral palsy: A scoping review.

BACKGROUND: Management of gait-related problems in children and young people with Cerebral Palsy (CYPwCP) is complex and requires an interprofessional approach. Irrespective of underlying mechanisms, instrumented gait analysis (IGA) can provide quantification of gait to support clinical decision-making for CYPwCP when planning treatment interventions. AIM: This scoping review aimed to determine the impact of instrumented gait analysis (IGA) on treatment decision-making for CYPwCP, paying particular attention to interprofessional decision-making. METHOD: PubMed, EMBASE, Web of Science and Scopus databases were searched from inception to October 2019 for studies including CYPwCP age<25 years. The PRISMA ScR protocol was followed, and Quality was assessed with the Downs and Black (D&B) scale. Influences on decision-making were coded according to the International Classification of Functioning, Disability and Health for Children and Youth framework (ICF-CY). RESULTS: Seventeen studies (1144 patients, 2.8-23 years) of varying quality (mean D&B = 17.2, range = 11-26) were included. Studies considered IGA influence at three decision-making stages 'Clinical Planning', 'Treatment Performed' and 'Follow up'. Child and Family, and Clinician and Service-centred factors had a high impact on engagement with IGA recommendations. INTERPRETATION: IGA guided recommendations can differ from initial clinical plans, and often lead to modification of the treatment ultimately performed. The effect on individual patients' outcomes when treatment recommendations based on instrumented gait analysis are followed is not yet clear and warrants further research. The differences in clinicians' engagement with IGA recommendations occur due to an array of Child and Family, and Clinician and Service-centred factors. Overall, IGA leads to less surgical recommendations, and has the potential to influence conservative gait-related management in CYPwCP.

Improving Clinical Handover on an Electronic Communication Platform: A Quality Improvement Project.

Background National guidance stipulates the essential components of a safe handover. Shift-based work and the COVID-19 pandemic has led to an increased turnover and re-deployment of staff into new clinical areas, creating challenges in delivering effective handovers. Aim The aim of this quality improvement project (QIP) was to improve adherence to a local standardised handover proforma to improve the quality and consistency of handovers. Methods Handovers were assessed by measuring the completion rates of the essential components of a safe handover as outlined in the national guidance. Data were collected from an electronic handover system which follows the Situation, Background, Assessment and Recommendations (SBAR) structure, and percentage completion rates obtained for each component assessed. Following baseline measurement, four Plan-Do-Study-Act (PDSA) cycles were completed between August 2020 and February 2021 across two junior doctor rotations and during a COVID surge rota. Results A total of 710 handovers were assessed across the four PDSA cycles. There were overall improvements in the percentage completion rates of each component compared to baseline: Under 'Situation', admission dates increased by 13.7%, estimated discharge date by 33.3% and 100% completion rate maintained for the presenting complaint. Under 'Background', past medical history remained static, with a 12.1% increase in documentation of a social history. Under 'Assessment', escalation status increased by 335%, issues list by 242% and important updates by 35.2%. Under 'Recommendations', completion rate for plans was maintained at 100%. Conclusions Our findings demonstrated an overall improvement in the majority of components of the handover proforma. Challenges remain with the rotation of junior doctors through different specialties leading to a loss of institutional knowledge and reduced longevity of the intervention's effect, exacerbated by the introduction of the COVID surge rota. A long-lasting improvement may require a shift to a completely electronic patient records system (ePR) which incorporates a handover tool.

Factors associated with physical activity engagement among adults with rheumatoid arthritis: A cross-sectional study.

OBJECTIVES: Physical activity (PA) has a number of benefits for rheumatoid arthritis (RA) patients. However, these patients are more physically inactive than the general population. The primary aim of this study was to investigate factors associated with PA engagement among RA patients. The secondary aim was to identify their preference for PA support. METHODS: There were 96 participants, 76 of whom were female, with a mean age of 56.9 years (range = 34-72 years) and a median RA disease duration of 5 years (interquartile range = 2-12). All patients completed questionnaires assessing demographic status, health status (including cardiovascular disease [CVD] risk and RA disease profile), PA levels and preferences, alongside the perceived benefits of-and barriers to-PA. Hierarchical regressions were carried out to assess the relationship between reported PA levels and both engagement determinants and disease features. RESULTS: Forty-five per cent (n = 44) had low levels (<600 metabolic equivalent-min/week) of PA. Low level of PA was significantly associated with: CVD risk profile (ηp2  = 0.118, p < 0.002); functional disability (ηp2  = 0.206, p < 0.032); pain (ηp2  = 0.154, p < 0.028); general personal (ηp2  = 0.190, p < 0.001) and arthritis-specific personal (ηp2  = 0.170, p < 0.001) barriers to PA; age (ηp2  = 0.076, p < 0.026); and sedentary behaviour (ηp2  = 0.275, p < 0.001). Participants displayed a preference for unsupervised (n = 37, 38.5%), low-intensity (n = 45, 46.9%), indoor home (n = 50, 52.1%) exercises, with no preferences for the diversity of the exercise prescribed (n = 39, 40.6%) or for who provided the exercise counselling (n = 34, 35.4%). CONCLUSIONS: These results suggest that CVD profile, disability, pain, and general and arthritis-specific personal barriers are associated with PA levels among RA patients. Intervention development should address these factors to facilitate an increase in PA uptake.