Tool For Early Identification Research Articles

A Better Way to Care for Long Term Care (LTC) residents in Times of Medical Urgency: Improving Acute Care transfers for LTC Residents.

Background: Prior to the pandemic, every day approximately 28 long term care (LTC) residents were transferred to an emergency department (ED) in Alberta. This was placing increasing strain on healthcare resources and potentially negatively impacting the health and wellness of residents (e.g., exposure to iatrogenic harms). Many residents’ conditions could be managed within LTC if appropriate supports were provided. Poor communication between LTC and EDs can also lead to long ED lengths of stay, unnecessary resource utilization, sub-optimal health outcomes, and exposure to iatrogenic harms for LTC residents. Two INTERACT® tools (tools for early identification of acute medical issues) and a new care and referral pathway were implemented to help identify and address changes in health status among LTC residents sooner, improve communication between LTC and ED providers, and reduce unnecessary ED transfers. Methods: Between October 2019 and April 2022, 40 LTC homes and 4 EDs within the Calgary zone implemented the standardized LTC-to-ED care and referral pathway supported by a centralized telephone advice and transfer system for healthcare providers, community paramedics, and two INTERACT® tools (Stop and Watch for healthcare aides; Change in Condition Cards for nursing). Using a randomized stepped-wedge design, the pathway was implemented within 9 cohorts of (4-5) LTC facilities every 3 months, supported by an implementation coach. Three-hour train the trainer implementation sessions were conducted in-person or online with over 325 health practitioners in the enrolled LTC homes using strategies adapted to consider local context and barriers, as well as considering pandemic-related challenges. Evaluation Methods: Evaluation of the intervention involved both qualitative and quantitative methods. The primary study outcome is change in transfers from LTC to ED; secondary (quantitative) outcomes include hospital admissions, utilization of the centralized telephone advice and transfer system, and community paramedic visits. Analysis of these quantitative outcomes utilized negative binomial regression to estimate the incident rate with 95% confidence intervals (per 1000 residents), while adjusting for the different cohorts. The quantitative evaluation also included an economic analysis to determine potential cost savings. Interviews with healthcare providers were conducted to provide context to their experience with the intervention and ways it can be improved. These interviews will be interpreted with the involvement of members of our project resident and family advisory council. Results: Quantitative results demonstrate a reduction in the LTC-to-ED transfer rate [1.70 (95%CI 1.61-1.79) post-intervention) vs 1.91 (95%CI 1.84-2.00) pre-intervention], along with reduction in hospital admission rates [0.94 (95%CI 0.88-1.00) vs 1.08 (95%CI 1.03-1.14)]. There was an increase in utilization of the centralized telephone advice and transfer system [0.18 (95%CI 0.16-0.22) vs. 0.13 (95%CI 0.11-0.16)], but no increase in the number of community paramedic visits [2.05 (95%CI 1.94-2.16) vs 2.50 (95%CI 2.39-2.61)]. Cost and qualitative outcome data is pending. Advice and Lessons Learned: LTC staff education and use of early warning tools for identifying a change in resident health status (INTERACT® tools) and/or utilization of a centralized telephone advice and transfer system may have played a role in reducing ED transfers. We did not observe the expected relationship between community paramedic visits and reduced LTC-to-ED transfers, possibly as a result of the pandemic-related facility outbreak restrictions. Teams should tailor implementation sessions and materials to site specific needs and contexts to help address their unique barriers and facilitators. Partnerships with key stakeholders across the care continuum are essential to ensure adequate support and effective uptake and sustainability of the mutli-faceted change intervention.

Correlation of Cardiotocography with neonatal outcome in term pregnancies at a tertiary care centre in Bihar, India: A prospective observational study

Early recognition of foetal distress by intrapartum cardiotocography (CTG) has a pivotal role in the improvement of perinatal outcome. So, the aim of this study was to correlate the findings of CTG with neonatal outcome.This Prospective Observational study was conducted on 300 pregnant women in labour having singleton term pregnancy with cephalic presentation. Intrapartum cardiotocography was done. CTG pattern was correlated with neonatal outcomes by analysing Apgar score, NICU admission and neonatal mortality rate. Statistical analysis was done by using chi square test and Fisher Exact test and p value < 0.05 was considered as statistically significant.Out of 300 patients, reactive CTG pattern was observed in 67% while suspicious and pathological pattern was observed in 22% and 11% of pregnancies respectively. The percentage of caesarean deliveries were significantly more among abnormal CTG group as compared to reactive group (p value < 0.0001). The sensitivity and specificity of CTG for predicting foetal distress and NICU admission was 80 % and 78.75% respectively. There was high NPV of 94.03%, and the diagnostic accuracy of test was 79%.Reactive CTG is more predictive of favourable neonatal outcomes while Pathological CTG tracing requires immediate intervention. Suspicious CTG requires close observation during intrapartum period after correcting underlying causes and taking conservative measures and Immediate delivery is not required unless it became pathological and hence caesarean section rate can be reduced in this group Overall, intrapartum CTG is an important screening tool for early identification of foetal distress.

Capacity of nurses and midwives for early identification of developmental delays among children in a Ghanaian rural district

: Early identification of developmental delays provides an opportunity for early intervention that improves the child’s growth and development. Primary healthcare providers have a basic responsibility for the early identification of developmental delays for intervention or referral to the appropriate specialist. However, the capacity of primary healthcare providers to identify children with developmental delays in the Wa West District of Ghana is unknown. A cross-sectional study was conducted involving 113 primary healthcare providers working in various healthcare facilities in the Wa West district. The participants were obtained through a simple random sampling technique. Quantitative data were collected using a structured questionnaire and analyzed using descriptive statistical analysis. The results indicated that 87 (77.0%) participants found their training adequate for early identification of developmental delays. However, less than 10% of the participants reported having excellent knowledge on the use of tools for early identification. While an average of 77.1% of the participants showed knowledge in the areas of a child’s medical history-taking, the diet of the child 65 (57.5%) was cited as least important. Also, an average of 67.6% of participants responded accurately to questions seeking their knowledge on screening. However, few 30 (26.5%) participants knew that not all screening results are always accurate. Higher education and work experience appear influential on participants’ knowledge on various areas of early identification of developmental delays. In conclusion, gaps in participants’ knowledge on areas of early identification of developmental delays could lead to late identification, hence limiting the child’s development and outcome of intervention services.

A prediction nomogram for moderate-to-severe bronchopulmonary dysplasia in preterm infants < 32 weeks of gestation: A multicenter retrospective study.

Moderate-to-severe bronchopulmonary dysplasia (msBPD) is a serious complication in preterm infants. We aimed to develop a dynamic nomogram for early prediction of msBPD using perinatal factors in preterm infants born at <32 weeks' gestation. This multicenter retrospective study conducted at three hospitals in China between January 2017 and December 2021 included data on preterm infants with gestational age (GA) < 32 weeks. All infants were randomly divided into training and validation cohorts (3:1 ratio). Variables were selected by Lasso regression. Multivariate logistic regression was used to build a dynamic nomogram to predict msBPD. The discrimination was verified by receiver operating characteristic curves. Hosmer-Lemeshow test and decision curve analysis (DCA) were used for evaluating calibration and clinical applicability. A total of 2,067 preterm infants. GA, Apgar 5-min score, small for gestational age (SGA), early onset sepsis, and duration of invasive ventilation were predictors for msBPD by Lasso regression. The area under the curve was 0.894 (95% CI 0.869-0.919) and 0.893 (95% CI 0.855-0.931) in training and validation cohorts. The Hosmer-Lemeshow test calculated P value of 0.059 showing a good fit of the nomogram. The DCA demonstrated significantly clinical benefit of the model in both cohorts. A dynamic nomogram predicting msBPD by perinatal days within postnatal day 7 is available at https://sdxxbxzz.shinyapps.io/BPDpredict/. We assessed the perinatal predictors of msBPD in preterm infants with GA < 32 weeks and built a dynamic nomogram for early risk prediction, providing clinicians a visual tool for early identification of msBPD.

Early Identification of Barriers to Student Success in Physical Therapy Clinical Education: Utilization of a Week One Clinical Survey Tool

Purpose: The purpose of this study was to evaluate the use of a week-one clinical survey tool for early identification of student perceived barriers, including personal and environmental safety, that may impact success during full-time clinical education experiences (CEE) in physical therapy. Methods: DPT students (n= 81) engaged in full-time CEE in their second and third years were required to complete an online self-designed survey tool regarding perceptions of safety, clinical instructor (CI) satisfaction, and clinical challenges. Students in their third year completed the survey for both experiences. Data were assessed to compare second versus third-year student responses overall using a Mann-Whitney U test. Qualitative data was analyzed using an incident coding process. Results: Most students (65.1%) indicated high satisfaction with their CI (≥ 9 on a 10-pt scale). Two students (1.8%) indicated feeling unsafe. There were no differences between cohorts for perception of personal safety or completion of orientation, but there was a difference in rating of their experience with the CI (p = .008). Narrative responses revealed that students’ perceptions of CI personality characteristics were related to their overall CI satisfaction. There were no differences between cohorts or levels of CEE in overall qualitative themes from the open-ended questions, but there was a difference in the impact of each qualitative theme and associated subcategories. Conclusion: During the first week of a CEE, students reported high CI satisfaction and low personal and environmental safety concerns. Further research is needed to examine the perspective of other stakeholders with the utilization of this week-one clinical survey tool. The results of this study are the first to contribute an understanding of the barriers to success during the first week of a CEE from the students’ perspective.

Evaluation of a novel scoring system based on thrombosis and inflammation for predicting stroke-associated pneumonia: A retrospective cohort study.

Inflammation and thrombosis are involved in the development of stroke-associated pneumonia (SAP). Our aim was to evaluate the predictive value of a novel, simplified, thrombo-inflammatory prognostic score (TIPS) that combines both inflammatory and thrombus biomarkers in the early phase of ischemic stroke (IS). The study population consisted of 897 patients with a first diagnosis of IS admitted to the emergency department of five tertiary hospitals in China. Of these, the data from 70% of patients was randomly selected to derive the model and the other 30% for model validation. A TIPS of "2" was indicative of high inflammation and thrombosis biomarkers and "1" of one biomarker, with "0" indicative of absence of biomarkers. Multivariate logistic regression analyses were used to identify the association between TIPS and SAP. The TIPS was an independent predictor of SAP and 90-day mortality, with the incidence of SAP being significantly higher for patients with a high TIPS. The TIPS provided superior predictive value for SAP than clinical scores (A2DS2) and biomarkers currently used in practice, for both the derivation and validation sets. Mediation analysis revealed that TIPS provided a predictive value than either thrombotic (NLR) and inflammatory (D-dimer) biomarkers alone. The TIPS score may be a useful tool for early identification of patients at high-risk for SAP after IS.

Neutrophil-to-Lymphocyte Ratio (NLR) Useful as a Cost-Effective Preliminary Prognostic Marker in ST-Elevation Myocardial Infarction (STEMI): An Observational Study From a Tertiary Care Hospital in Northeast India.

Introduction Myocardial infarction, a major consequence of coronary artery disease, is an important cause of in-hospital mortality and morbidity worldwide. Blood neutrophil-to-lymphocyte ratio (NLR) is a novel laboratory marker of systemic inflammation that can predict the severity and mortality in various non-cardiovascular illnesses, including malignancy and infective pathology. We sought to evaluate its potential in predicting the outcome in hospitalized patients with myocardial infarction. Material and methods The index study was conducted at Silchar Medical College and Hospital from June 1, 2021 to May 31, 2022, with the aim of evaluating the role of NLR in determining the outcomes of ST-elevation myocardial infarction (STEMI). A total of 110 patients fulfilling the requisite criteria and admitted to the cardiology and medicine departments of the hospital with evidence of STEMI were included in the study and evaluated for the relationship of NLR with various outcome variables in STEMI. Results Out of 110 patients, 69.1% were males. The mean age of the study population was 58.2±15.3 years. The baseline characteristics and risk factors of patients who survived the acute attack of STEMI and those who died from complications of STEMI were similar. Laboratory parameters which correlated with worse outcomes included a higher fasting triglyceride level (173.4 mg vs. 215.6 mg, p < 0.001), a higher blood neutrophil count at baseline, 24 hours and 72 hours (70.1% vs. 69.04%, 66.3% vs. 75.2%, 81.6% vs. 73.8%, p<0.05), a higher NLR value at baseline, 24 hours and 72 hours (2.91 ± 1.13 vs. 3.19 ± 2.32, 2.39 ± 0.74 vs. 5.56 ± 4.11, 5.1 ± 4.38 vs. 3.01 ± 1.02, p < 0.05). Among patients hospitalized with STEMI who had high NLR, had significantly elevated incidence of complications, including a higher acute, left ventricular failure (42.8% vs. 35.9%; p < 0.05) as well as increased risk of mortality (66.7% vs. 33.3%; p < 0.05) compared to low NLR group. Conclusion NLR can predict the outcome among STEMI patients in terms of morbidity and mortality and correlates with poor left ventricular function. NLR can serve as a potential tool for early identification and efficient triage of STEMI patients during initial presentation to the ED. Its utility is more so in resource-constrained developing countries with limited access to health care. The significant advantage of NLR is its easy accessibility, rapid turnaround time, and inexpensiveness.

Development and Validation of a Risk Scoring Tool for Bronchopulmonary Dysplasia in Preterm Infants Based on a Systematic Review and Meta-Analysis.

Background: Bronchopulmonary dysplasia (BPD) is the most common serious pulmonary morbidity in preterm infants with high disability and mortality rates. Early identification and treatment of BPD is critical. Objective: This study aimed to develop and validate a risk scoring tool for early identification of preterm infants that are at high-risk for developing BPD. Methods: The derivation cohort was derived from a systematic review and meta-analysis of risk factors for BPD. The statistically significant risk factors with their corresponding odds ratios were utilized to construct a logistic regression risk prediction model. By scoring the weights of each risk factor, a risk scoring tool was established and the risk stratification was divided. External verification was carried out by a validation cohort from China. Results: Approximately 83,034 preterm infants with gestational age < 32 weeks and/or birth weight < 1500 g were screened in this meta-analysis, and the cumulative incidence of BPD was about 30.37%. The nine predictors of this model were Chorioamnionitis, Gestational age, Birth weight, Sex, Small for gestational age, 5 min Apgar score, Delivery room intubation, and Surfactant and Respiratory distress syndrome. Based on the weight of each risk factor, we translated it into a simple clinical scoring tool with a total score ranging from 0 to 64. External validation showed that the tool had good discrimination, the area under the curve was 0.907, and that the Hosmer-Lemeshow test showed a good fit (p = 0.3572). In addition, the results of the calibration curve and decision curve analysis suggested that the tool showed significant conformity and net benefit. When the optimal cut-off value was 25.5, the sensitivity and specificity were 0.897 and 0.873, respectively. The resulting risk scoring tool classified the population of preterm infants into low-risk, low-intermediate, high-intermediate, and high-risk groups. This BPD risk scoring tool is suitable for preterm infants with gestational age < 32 weeks and/or birth weight < 1500 g. Conclusions: An effective risk prediction scoring tool based on a systematic review and meta-analysis was developed and validated. This simple tool may play an important role in establishing a screening strategy for BPD in preterm infants and potentially guide early intervention.

P326 PREFAB-study: PRediction tool for Early identification of patients at risk of Crohn's disease in perianal Fistulas and ABscesses: interim analysis of a prospective pilot study at a non-academic, IBD-expert centre in the Netherlands

Abstract Background Perianal abscesses (PAA) and perianal fistulas (PAF) are life impairing conditions associated with Crohn’s disease (CD). A retrospective study at Flevohospital showed a reduced median delay in diagnosis of CD from 33 months (IQR 23-64) in the period 2007-2016 to 3 months (IQR 0-5) in the period 2017-2021, with &amp;lt;20% of patients diagnosed &amp;lt;1 year after the first perianal surgical procedure in 2007-2016 versus 79% in 2017-2021. This study also showed CD in up to 10% of patients with PAA/PAF, which was reason to continue data collection in a larger prospective pilot study to identify risk factors for CD in patients presenting with PAA/PAF. Methods All consecutive patients ≥16 years presenting with PAA/PAF were included. Patients were prospectively screened for risk factors/red flags from a ‘perianal Red Flag Index Questionnaire’ (pRFI) (identified from previous literature searches/expert opinion) and fecal calprotectin (FC-)samples were taken in all patients. Colonoscopy was performed in case of ≥5 positive answers in the pRFI and/or FC-values ≥150mcg/g. Results Sixty-nine patients were included (72,5% male) with median age of 41 years (IQR 30,5-54,6). Thirty-five patients (50,7%) presented with PAA, whereas 34 patients presented with PAF (49,3%). Thirty-one patients (44,9%) had recurrent PAA/PAF. Additional colonoscopy was performed in 11 patients, in whom 5 patients (7,2%) eventually were diagnosed with CD with a median delay of 44 months (IQR 7,5-87,5, still 5 patients in diagnostic work-up). Median FC-values were 552mcg/g (IQR 198,5-4585) in patients with confirmed CD and 31,5mcg/g (IQR 10-102,75) in patients without CD (p=0,002). Risk factors associated with CD were a younger age, presence of PAF (compared to PAA only), higher number of previous perianal interventions, multiple internal fistula openings, fissures and proctitis (p&amp;lt;0,05 in all). Conclusion This pilot study reveals several risk factors associated with CD in patients presenting with PAA/PAF and forms the basis for development of a clinical decision tool that incorporates both the pRFI questionnaire and selected FC-measurement to early identify patients at risk of CD when presenting with perianal disease. This clinical decision tool will be subject of a larger prospective multicentre study to reduce diagnostic/treatment delay, thereby improving outcomes in patients with Crohn’s fistulas.

Deciphering the role of monocyte and monocyte distribution width (MDW) in COVID-19: an updated systematic review and meta-analysis.

The SARS-CoV-2 infection is characterized by both systemic and organ hyper-thromboinflammation, with a clinical course ranging from mild up-to critical systemic dysfunction and death. In patients with coronavirus disease 2019 (COVID-19) the monocyte/macrophage population is deeply involved as both trigger and target, assuming the value of useful diagnostic/prognostic marker of innate cellular immunity. Several studies correlated morphological and immunophenotypic alterations of circulating monocytes with clinical outcomes in COVID-19 patients, concluding that monocyte distribution width (MDW) may retain clinical value in stratifying the risk ofdisease worsening. Through an electronic search in Medline and Scopus we performed an updated literature review and meta-analysis aimed to explore the association between increased MDW levels and illness severity in COVID-19 patients, deciphering role(s) and function(s) of monocytes in the harmful network underlining SARS-CoV-2 infection. We found that significantly elevated MDW values were frequently present in COVID-19 patients who developed unfavorable clinical outcomes, compounded by a significant association between monocyte anisocytosis and SARS-CoV-2 outcomes. These findings suggest that blood MDW index and its scatter plot could represent useful routine laboratory tools for early identification of patients at higher risk of unfavorable COVID-19 and for monitoring the progression of viral infection, clinical outcomes, and therapeutic efficacy throughout hospitalization. According to this evidence, therapeutic decisions in patients with SARS-CoV-2 infection could benefit from monitoring MDW value, with administration of drugs limiting thrombo-inflammation due to monocyte hyper-activation in patients with severe/critical COVID-19 disease.

Lack of sensitivity of diagnostic Cushing-scores in Germany: a multicenter validation.

Endogenous Cushing's syndrome (CS) is a severe condition, often diagnosed at a late stage. To reduce mortality, early diagnosis plays an important role. Two screening tools for early identification of patients with CS have been developed in multicentric cohorts, but have not yet been validated in cohorts with different geographic backgrounds. We validated the Spanish score published by Leon-Justel et al. in 2016 and the Italian score by Parasiliti-Caprino et al. published in 2021 in our cohort. In the multicentric German Cushing registry, patients with confirmed and expected but ruled out Cushing's syndrome are prospectively diagnosed and followed up. We validated both scores in a cohort of 458 subjects: 176 patients with confirmed CS and 282 patients with suspected, but finally excluded CS. Using the Spanish score, 17.5% of our patients with proven CS biochemical screening would not have been recommended. This concerned patients with pituitary CS (22%) and with adrenal CS (10%). On the contrary, only 14% of patients without CS would have received a recommendation for biochemical screening. Using the Italian score, 29% of patients with proven CS were classified into the low-risk classes not recommended for biochemical screening. This mostly affected patients with adrenal (31%) and pituitary CS (30%). About 12% of subjects without CS would have received a biochemical screening recommendation. Both scores had limited sensitivity and high specificity in a German validation cohort. Further research is necessary to develop a screening score, which is effective in different healthcare systems and ethnicities.

Renal Resistive Index as a Promising Tool in Early Identification of Diabetic Nephropathy

Renal Resistive Index as a Promising Tool in Early Identification of Diabetic Nephropathy

The Value of Handgrip Strength and Self-Rated Squat Ability in Predicting Mild Cognitive Impairment: Development and Validation of a Prediction Model.

Early identification of individuals with mild cognitive impairment (MCI) is essential to combat worldwide dementia threats. Physical function indicators might be low-cost early markers for cognitive decline. To establish an early identification tool for MCI by combining physical function indicators (upper and lower limb function) via a clinical prediction modeling strategy. A total of 5393 participants aged 60 or older were included in the model. The variables selected for the model included sociodemographic characteristics, behavioral factors, mental status and chronic conditions, upper limb function (handgrip strength), and lower limb function (self-rated squat ability). Two models were developed to test the predictive value of handgrip strength (Model 1) or self-rated squat ability (Model 2) separately, and Model 3 was developed by combining handgrip strength and self-rated squat ability. The 3 models all yielded good discrimination performance (area under the curve values ranged from 0.719 to 0.732). The estimated net reclassification improvement values were 0.3279 and 0.1862 in Model 3 when comparing Model 3 to Model 1 and Model 2, respectively. The integrated discrimination improvement values were estimated as 0.0139 and 0.0128 when comparing Model 3 with Model 1 and Model 2, respectively. The model that contains both upper and lower limb function has better performance in predicting MCI. The final prediction model is expected to assist health workers in early identification of MCI, thus supporting early interventions to reduce future risk of AD, particularly in socioeconomically deprived communities.

A nomogram for screening sarcopenia in Chinese type 2 diabetes mellitus patients

ObjectiveDiabetes is an important risk factor for sarcopenia and contributes to poor prognosis; it is important for clinicians to identify sarcopenia early in the population with type 2 diabetes mellitus. Our aim was to establish a clinical screening model of sarcopenia in Chinese patients with type 2 diabetes mellitus. MethodsA cross-sectional study was conducted involving 1131 hospitalized patients (62.67 ± 11.25 years) with type 2 diabetes mellitus, including 560 men and 571 women. All muscle/fat parameters were measured by dual energy X-ray absorptiometry and the clinical correlation with sarcopenia was evaluated. The least absolute shrinkage and selection operator was used to select optimal variables and build a nomogram chart of the sarcopenic screening model for patients with type 2 diabetes mellitus, respectively. The area under the receiver operating characteristic curve (AUC), the calibration curve, the analysis of the decision curve, the clinical impact curve, and external validations were used to evaluate discriminative ability and clinical applicability. ResultsThe prevalence of sarcopenia in patients with type 2 diabetes mellitus was 30.06 % (340/1131). Compared to the non-sarcopenic group, the sarcopenic group was older, more likely to be men, and had a higher heart rate and lower body mass index (BMI), waist-hip ratio (WHR), upper limb muscle mass, lower limb muscle mass and fat paraments (all P < 0.05). Five independent variables (age, sex, BMI, WHR and heart rate) were selected to construct a nomogram prediction model. The AUC was 0.907 (95 % CI: 0.890–0.925). The calibration curve, decision curve analysis, and clinical impact curves showed a wide range of nomograms with good clinical applicability under threshold probability. Additionally, internal validation showed a good AUC of 0.908 (95 % CI: 0.886–0.928) in the training set and 0.904 (95 % CI: 0.868–0.941) in the testing set, as well as an accuracy of 93.2 % for the screening of sarcopenia in the external validation set. ConclusionsAge, sex, BMI, WHR, and heart rate were used to detect sarcopenia in patients with type 2 diabetes mellitus. The novel screening model is an accurate, easy-to-implement and low-cost tool for early identification of sarcopenia in Chinese patients with type 2 diabetes mellitus.

The experiencing sensory overload project (ESOP): developing an immersive simulation experience for healthcare professionals.

Atypical sensory processing is described as a difficulty in regulating and managing sensory input in a meaningful, ordered way to make sense of the world and environment in which you find yourself. Sensory processing disorder (SPD) is common in individuals with autism, pervasive development disorders, and neurodivergent conditions [1,2,3]. The National Institute of Clinical Excellence (NICE) [2] suggest sensory processing disorders are often overlooked by education, social, and healthcare professionals, leading to health and social inequalities with individuals less able to access ‘support and services that they need to live independently’ [2 p5]. The Experiencing Sensory Overload Project (ESOP) aims to champion inclusive practice and reduce health inequalities by encouraging and enabling healthcare professionals to reconsider their approach, and their working environments to create sensorily safe spaces for individuals who may experience sensory overload. The authors recognised there was insufficient education on SPD within the current nursing curriculum. To address this theory/practice gap, training was sought externally. This consisted of a short simulation-based activity with training delivered by carers who had experience of sensory overload. This was well evaluated by the student participants; however lecturing staff felt the training did not meet our university teaching and learning standards. The positive student feedback provided the impetus to forge links with digital arts colleagues to co-create a robust, pedagogically sound and immersive learning experience. The collaborative journey of ESOP has been led and facilitated by academics from the School of Nursing and Midwifery and the School of Arts in a cross-school alliance ( Immersive learning experiences that recognise and champion diversity must be integrated into the curricular of all healthcare professionals to promote the highest standards of patient care. Meeting this demand with innovative, immersive technology demands collaborative working. This cross-school alliance has produced a learning experience that can work towards reducing health inequalities, promoting independence, and championing inclusive practice. The experiencing sensory overload project (ESOP) collaborative journey 2019–2022 1. Walbam KM. The relevance of sensory processing disorder to social work practice: An interdisciplinary approach. Child and Adolescent Social Work Journal. 2014;31(1):61–70. 2. National institute Clinical Excellence. Autism spectrum disorder in adults: diagnosis and management. London: NICE; 2012. 1–42. CG142 3. Bolaños C, Gomez MM, Ramos G, Rios del Rio J. Developmental risk signals as a screening tool for early identification of sensory processing disorders. Occupational therapy international. 2016;23(2):154–164.

The diagnostic value of multiparameter cardiovascular magnetic resonance for early detection of light-chain amyloidosis from hypertrophic cardiomyopathy patients.

Early-stage amyloidosis of the heart is prone to be underdiagnosed or misdiagnosed, increasing the risk of early heart failure and even death of the patient. To ensure timely intervention for cardiac light-chain amyloidosis (AL CA), it is vital to develop an effective tool for early identification of the disease. Recently, multiparameter cardiovascular magnetic resonance (CMR) has been used as a comprehensive tool to assess myocardial tissue characterization. We aimed to investigate the difference in left ventricular (LV) strain, native T1, extracellular volume (ECV), and late gadolinium enhancement (LGE) between AL CA patients, hypertrophic cardiomyopathy patients (HCM), and healthy control subjects (HA). Moreover, we explored the value of multiparameter CMR for differential diagnosis of the early-stage AL CA patients from HCM patients, who shared similar imaging characteristics under LGE imaging. A total of 38 AL CA patients, 16 HCM patients, and 17 HA people were prospectively recruited. All subjects underwent LGE imaging, Cine images, and T1 mapping on a 3T scanner. The LV LGE pattern was recorded as none, patchy or global. LV strain, native T1, and ECV were measured semi-automatically using dedicated CMR software. According to clinical and biochemical markers, all patients were classified as Mayo stage I/II and Mayo stage IIIa/IIIb. Univariable and multivariable logistic regression models were utilized to identify independent predictors of early-stage AL CA from HCM patients. Receiver operator characteristic (ROC) curve analysis and Youden's test were done to determine the accuracy of multiparameter CMR in diagnosing Mayo stage I/II AL CA and establish a cut-off value. For Mayo stage I/II AL CA patients, the global longitudinal strain (GLS) absolute value (11.9 ± 3.0 vs. 9.5 ± 1.8, P < 0.001) and the global circumferential strain (GCS) absolute value (19.0 ± 3.6 vs. 9.5 ± 1.8, P < 0.001) were significantly higher than in HCM patients. The native T1 (1334.9 ± 49.9 vs. 1318.2 ± 32.4 ms, P < 0.0001) and ECV values (37.8 ± 5.7 vs. 31.3 ± 2.5%, P < 0.0001) were higher than that of HCM patients. In multiparameter CMR models, GCS (2.097, 95% CI: 1.292-3.403, P = 0.003), GLS (1.468, 95% CI: 1.078-1.998, P = 0.015), and ECV (0.727, 95% CI: 0.569-0.929, P = 0.011) were the significant variables for the discrimination of the early-stage AL CA patients from HCM patients. ROC curve analysis and Youden's test were used on GCS, GLS, ECV, and pairwise parameters for differentiating between Mayo stage I/II AL CA and HCM patients, respectively. The combination of GLS, GCS, and ECV mapping could distinguish Mayo stage I/II AL amyloidosis patients from hypertrophic cardiomyopathy with excellent performance (AUC = 0.969, Youden index = 0.813). In early-stage AL CA patients with atypical LGE, who had similar imaging features as HCM patients, ECV mapping, GCS, and GLS were correlated with the clinical classification of the patients. The combination of GCS, GLS, and ECV could differentiate early-stage AL CA from HCM patients. Multiparameter CMR has the potential to provide an effective and quantitative tool for the early diagnosis of myocardial amyloidosis.

Orthographic Depth May Influence the Degree of Severity of Maze Learning Performance in Children at Risk for Reading Disorder

Reading disability (RD), which affects between 5 and 17% of the population worldwide, is the most prevalent form of learning disability, and is associated with underactivation of a universal reading network in children. However, recent research suggests there are differences in learning rates on cognitive predictors of reading performance, as well as differences in activation patterns within the reading neural network, based on orthographic depth (i.e., transparent/shallow vs. deep/opaque orthographies) in children with RD. Recently, we showed that native English-speaking children with RD exhibit impaired performance on a maze learning task that taps into the same neural networks that are activated during reading. In addition, we demonstrated that genetic risk for RD strengthens the relationship between reading impairment and maze learning performance. However, it is unclear whether the results from these studies can be broadly applied to children from other language orthographies. In this study, we examined whether low reading skill was associated with poor maze learning performance in native English-speaking and native German-speaking children, and the influence of genetic risk for RD on cognition and behavior. In addition, we investigated the link between genetic risk and performance on this task in an orthographically diverse sample of children attending an English-speaking international school in Germany. The results from our data suggest that children with low reading skill, or with a genetic risk for reading impairment, exhibit impaired performance on the maze learning task, regardless of orthographic depth. However, these data also suggest that orthographic depth influences the degree of impairment on this task. The maze learning task requires the involvement of various cognitive processes and neural networks that underlie reading, but is not influenced by potential differences in reading experience due to lack of text or oral reporting. As a fully automated tool, it does not require specialized training to administer, and current results suggest it may be a practicable screening tool for early identification of reading impairment across orthographies.

Healthcare for older adults in North America: challenges, successes and opportunities.

Older adults in North America face similar challenges to successful ageing as other adults around the world, including an increased risk of geriatric syndromes and functional decline, limited access to healthcare professionals specialising in geriatrics and constraints on healthcare spending for Long-Term Services and Supports. Geriatrics as a specialty has long been established, along with the creation of a variety of screening tools for early identification of geriatric syndromes. Despite this, workforce shortages in all older adult care service areas have led to significant gaps in care, particularly in community settings. To address these gaps, innovative programs that expand the reach of geriatric specialists and services have been developed. Opportunities exist for further dissemination of these programs and services, as well as for expansion of an ageing capable workforce.

Clusters of Rapid HIV Transmission Among Gay, Bisexual, and Other Men Who Have Sex with Men - United States, 2018-2021.

Gay, bisexual, and other men who have sex with men (MSM) accounted for 68% of new HIV diagnoses in the United States in 2020* (1). Despite advances in treatment and prevention, HIV transmission among MSM continues, in part because of stigma and barriers to accessing prevention and treatment services (2). HIV cluster detection and response, a core strategy of the Ending the HIV Epidemic in the United States initiative,† is an important tool for early identification and response to rapid HIV transmission, including among MSM. To better understand rapid HIV transmission among this population, CDC characterized large HIV molecular clusters detected using analysis of HIV-1 nucleotide sequence data from the National HIV Surveillance System (NHSS).§ Among 38 such clusters first detected during 2018-2019 that had grown to include more than 25 persons by December 2021, 29 occurred primarily among MSM. Clusters primarily among MSM occurred in all geographic regions, and 97% involved multiple states. Clusters were heterogeneous in age, gender identity, and race and ethnicity and had rapid growth rates (median=nine persons added per year). The overall transmission rate at cluster detection was 22 transmission events per 100 person-years, more than six times that of previously estimated national transmission rates (3). Most clusters of rapid HIV transmission occur among MSM. Swift response to reach diverse persons and communities with early, tailored, and focused interventions is essential to reducing HIV transmission (4).

Low skeletal muscle radiodensity and neutrophil-to-lymphocyte ratio as predictors of poor outcome in patients with COVID-19

Inflammatory states and body composition changes are associated with a poor prognosis in many diseases, but their role in coronavirus disease 2019 (COVID-19) is not fully understood. To assess the impact of low skeletal muscle radiodensity (SMD), high neutrophil-to-lymphocyte ratio (NLR) and a composite score based on both variables, on complications, use of ventilatory support, and survival in patients with COVID-19. Medical records of patients hospitalized between May 1, 2020, and July 31, 2020, with a laboratory diagnosis of COVID-19 who underwent computed tomography (CT) were retrospectively reviewed. CT-derived body composition measurements assessed at the first lumbar vertebra level, and laboratory tests performed at diagnosis, were used to calculate SMD and NLR. Prognostic values were estimated via univariate and multivariate logistic regression analyses and the Kaplan–Meier curve. The study was approved by the local Institutional Review Board (CAAE 36276620.2.0000.5404). A total of 200 patients were included. Among the patients assessed, median age was 59 years, 58% were men and 45% required ICU care. A total of 45 (22.5%) patients died. Multivariate logistic analysis demonstrated that a low SMD (OR 2.94; 95% CI 1.13–7.66, P = 0.027), high NLR (OR 3.96; 95% CI 1.24–12.69, P = 0.021) and both low SMD and high NLR (OR 25.58; 95% CI 2.37–276.71, P = 0.008) combined, were associated with an increased risk of death. Patients who had both low SMD and high NLR required more mechanical ventilation (P < 0.001) and were hospitalized for a longer period (P < 0.001). Low SMD, high NLR and the composite score can predict poor prognosis in patients with COVID-19, and can be used as a tool for early identification of patients at risk. Systemic inflammation and low muscle radiodensity are useful predictors of poor prognosis, and the assessment of these factors in clinical practice should be considered.