Screening Score Research Articles

Attitudes and Related Factors of Women in Turkey Towards Cancer Screening: Analytical Cross-Sectional Study

Objective: This study aimed to examine women's attitudes and related factors towards cancer screening in Turkey. Methods: This analytical-cross-sectional study was conducted between June and September 2022. The universe of the study consisted of all women between the ages of 30-70 in Turkey, and the sample included 335 women. The data of the study were collected online with the “Personal Information Form’’ and “Attitude Scale for Cancer Screening”. Results: The average Attitude Scale for Cancer Screening total score of the women participating in the study was 84.36±14.55. Of the women who participated in the study, 33.1% did not perform breast self-examination, 63.1% did not perform clinical breast examination, 49.5% did not perform Pap smear and HPV-DNA testing, 60.9% did not perform mammography, 76.1% did not perform fecal occult blood testing and 93.8% did not perform colonoscopy. It was determined that education status, breast self-examination, clinical breast examination, Pap Smear and HPV-DNA test frequencies, and knowing the places where cancer screening was performed affected the Attitude Scale for Cancer Screening score averages (F = 8.729, p = 0.000). Conclusion: It was determined that the attitudes of the women participating in the study towards cancer screening were moderate. Several factors are done affect attitudes towards cancer screening.

Improving cardiovascular risk stratification with ECG-predicted risk factors in primary prevention

Abstract Background Cardiovascular risk- and screening scores guide clinical practice. Built upon simple risk factors, they could benefit from information on actual, subclinical cardiac changes. The ECG provides proxies for various cardiac states, which can be detected using machine learning. We systematically assess the added value of ECG-based cardiovascular risk factor estimates for six outcomes in two population-based cohorts: Study of Health in Pomerania (SHIP-Start) and UK Biobank (UKB). Methods We employed convolutional neural networks to analyze ECGs from the Hamburg City Health Study (HCHS) for the assessment of multiple risk factors, including age, weight, diabetes, atrial fibrillation (AF) and heart failure. Cox models were fitted on UKB and SHIP to predict 5 and 15 year time-to-event. Endpoints were death, cardiovascular death, AF, stroke, heart failure and myocardial infarction. Covariates were sex, age, body mass index, diabetes, hypertension and smoking (Cox-RF), ECG-predicted risk factors (Cox-AI), and a combination (Cox-RF/AI). Stratified Monte Carlo cross-validation was used as validation and groups of C-indices were compared using Mann-Whitney U tests. Results The study included 9103 HCHS participants (mean age 62.0±8.4 years, 51% women), 3546 SHIP participants (age 49.7±16.4, 51% women), and 32828 UKB participants (age 64±7.6 years, 52% women). Cox-AI performed comparable or better than Cox-RF for AF (SHIP: 0.88 vs. 0.84, UKB: 0.71 vs. 0.72) and heart failure (SHIP: 0.8 vs. 0.79, UKB: 0.76 vs. 0.75), but was less strong for the other outcomes. The combination of information on cardiovascular risk factors and ECG information (Cox-RF/AI) significantly improved the predictive ability compared to risk factors alone (Cox-RF) for AF (SHIP: 0.89 vs. 0.84, UKB: 0.76 vs. 0.72), cardiovascular death (SHIP: 0.90 vs. 0.89, UKB: 0.75 vs. 0.74) and heart failure (SHIP: 0.81 vs. 0.79, UKB: 0.80 vs. 0.75). Discussion ECG-based risk factors complement risk stratification by incorporating nuanced information on cardiac function and structure, improving risk prediction and thus possibly clinical decision making and patient outcomes.

Credentialed pharmacist-led home medicines reviews targeting treatable traits and their impact on health outcomes in people with chronic obstructive pulmonary disease: a pre- and post-intervention study.

Patients with chronic obstructive pulmonary disease (COPD) should engage in self-management strategies targeting behavioural traits and lifestyle risk-factors for optimal outcomes. To evaluate the impact of credentialed pharmacist-led home medicines review (HMR) targeting treatable traits (TTs) on health outcomes in COPD in primary care. A pre- and post-intervention study was nested within a cluster-randomised controlled trial. A total of 81 participants with COPD from 21 Australian general practices received an HMR with a credentialed pharmacist targeting TTs. Changes in health outcomes at 6 and 12months from baseline were assessed. Ten TTs were assessed and targeted during the HMR. At baseline, no-one had a written action plan for managing exacerbations, and medication adherence was sub-optimal in 85% of patients. Additionally, 53% of participants demonstrated inadequate inhaler device technique, while 52% were current smokers. At 6-months follow-up, significant improvements were observed in health-related quality of life (St. George's Respiratory Questionnaire score = 34.6 versus 39.1 at baseline, p = 0.006), health status (COPD Assessment Test score = 12 versus 16, p = 0.002), anxiety (Hospital Anxiety and Depression Scale (HADS)-Anxiety score = 2.0 versus 5.0, p < 0.001), depression (HADS-Depression score = 1.0 versus 5.0, p < 0.001), self-reported smoking (47% versus 51.9%, p = 0.031) and treatment adherence (Tool for Adherence Behaviour Screening score = 12.5 versus 10.0, p = 0.002). At 12-months: health status, anxiety, depression, smoking abstinence and adherence to treatment, continued to show statistically significant improvements compared to baseline measurements. HMRs targeting TTs improved health outcomes in people with COPD. Credentialed pharmacists in primary care can work alongside general practitioners to optimise COPD management.

Data-driven Machine Learning Models for Risk Stratification and Prediction of Emergence Delirium in Pediatric Patients Underwent Tonsillectomy/Adenotonsillectomy.

In the pediatric surgical population, Emergence Delirium (ED) poses a significant challenge. This study aims to develop and validate machine learning (ML) models to identify key features associated with ED and predict its occurrence in children undergoing tonsillectomy or adenotonsillectomy. The analysis involved data cleaning, exploratory data analysis (EDA), supervised predictive modeling, and unsupervised learning on a medical dataset (n = 423). After preliminary data cleaning, EDA encompassed plotting histograms, boxplots, pairplots, and correlation heatmaps to understand variable distributions and relationships. Four predictive models were trained including logistic regression (LR), random forest (RF), Support Vector Machine (SVM), and Gradient Boosting (XGBoost). The models were evaluated and compared using Receiver Operating Characteristic (ROC) Area Under the Curve (AUC), precision, recall, and feature importance. The RF model showed better performance and was used for the test (AUC-ROC 0.96, precision 1.00, and recall 0.92 on the validation set). K-means clustering was applied to find groups within the data. Elbow method and silhouette scores were used to determine the optimal number of clusters. The formed clusters were analyzed by aggregating features to understand the characteristics of each cluster. EDA revealed significant positive correlations between age, weight, American Society of Anesthesiologists (ASA) health score, and surgery duration with the risk of developing ED. Among the ML models, RF achieved the highest performance. Key predictive variables, based on the model's feature importance, included delirium screening scales, extubation time, and time to regain consciousness. Unsupervised K-means clustering identified 2-3 optimal clusters, which represented distinct patient subgroups: younger, healthier, low-risk individuals (cluster 0), and older patients with increasing chronic disease burden, higher delirium screening scores, and consequently higher post-operative delirium risk (clusters 1 and 2). ML techniques are valuable tools for extracting insights and making accurate predictions from healthcare data. High-performing algorithm-based models can be implemented for clinical decision support systems, facilitating early identification and intervention for ED in pediatric patients. By investigating various variables, it is possible to assess risk and implement preventive measures effectively. Furthermore, unsupervised clustering reveals distinct patient subgroups, enabling personalized perioperative management strategies and enhancing overall patient care.

In Utero Exposure to Maternal COVID-19 and Offspring Neurodevelopment Through Age 24 Months

In utero exposure to maternal infections has been associated with abnormal neurodevelopment among offspring. The emergence of a new, now endemic infection (SARS-CoV-2) warrants investigating developmental implications for exposed offspring. To assess whether in utero exposure to maternal COVID-19 is associated with abnormal neurodevelopmental scores among children ages 12, 18, and 24 months. Data were ascertained from the ASPIRE (Assessing the Safety of Pregnancy in the Coronavirus Pandemic) trial, a prospective cohort of pregnant individuals aged 18 years or older who were enrolled before 10 weeks' gestation and their children. Individuals were recruited online from May 14, 2020, to August 23, 2021, using the Society for Assisted Reproductive Technology and BabyCenter, an online media platform. Participants from all 50 states and Puerto Rico completed activities remotely. In utero exposure to COVID-19. Birth mothers completed the Ages & Stages Questionnaires, Third Edition, a validated screening tool for developmental delays, at 12, 18, and 24 months' post partum. A score below the cutoff in any domain (communication, gross motor, fine motor, problem-solving, and social skills) was considered an abnormal developmental screen (scores range from 0 to 60 in each domain, with higher scores indicating less risk for neurodevelopmental delay). The cohort included 2003 pregnant individuals (mean [SD] age, 33.3 [4.2] years) enrolled before 10 weeks' gestation and who completed study activities; 1750 (87.4%) had earned a college degree. Neurodevelopmental outcomes were available for 1757 children at age 12 months, 1522 at age 18 months, and 1523 at age 24 months. The prevalence of abnormal screens for exposed vs unexposed offspring at age 12 months was 64 of 198 (32.3%) vs 458 of 1559 (29.4%); at age 18 months, 36 of 161 (22.4%) vs 279 of 1361 (20.5%); and at age 24 months, 29 of 151 (19.2%) vs 230 of 1372 (16.8%). In an adjusted mixed-effects logistics regression model, no difference in risk of abnormal neurodevelopmental screens was observed at age 12 months (adjusted risk ratio [ARR], 1.07 [95% CI, 0.85-1.34]), age 18 months (ARR, 1.15 [95% CI, 0.84-1.57]), or age 24 months (ARR, 1.01 [95% CI, 0.69-1.48]). Supplemental analyses did not identify differential risk based on trimester of infection, presence vs absence of fever, or breakthrough infection following vaccination vs primary infection. In this cohort study of pregnant individuals and offspring, exposure to maternal COVID-19 was not associated with abnormal neurodevelopmental screening results through 24 months' post partum. Continued study of diverse groups of children is needed because, among other factors, evidence suggests sensitivity of the developing fetal brain to maternal immune activation.

Indirect estimation of the prevalence of type 2 diabetes mellitus in the sub-population of Tehran: using non-laboratory risk-score models in Iran

BackgroundThe prevalence of type 2 diabetes mellitus (T2DM) in the population covered by the Tehran University of Medical Sciences is unclear but crucial for healthcare programs. This study aims to validate four non-laboratory risk-score models, the American Diabetes Association (ADA) Risk Score, Australian Type 2 Diabetes Risk Assessment Tool (AUSDRISK), Finnish Diabetes Risk Score (FINDRISC), and TOPICS Diabetes Screening Score, for identifying undiagnosed diabetes and indirectly estimate the prevalence of T2DM in a subset of the Tehranian population using the selected model.MethodsThis research consisted of two main parts. In the first part, non-laboratory risk-score models to identify undiagnosed T2DM were validated using Iranian data from STEPs 2016 survey. The model performance was evaluated through the Area Under the Curve (AUC) and calibration via the observed-to-expected (O/E) ratio. Additional independent data from STEPs 2011 survey in Iran were utilized to test the model results by comparing indirect prevalence estimates with observed estimates. In the second part, the prevalence of T2DM was estimated indirectly by applying the selected model to a representative random sample from a Tehranian population telephone survey conducted in 2023.ResultsAmong the different models used, AUSDRISK showed the best performance in both discrimination (AUC (95% confidence interval (CI)): 0.80 (0.78, 0.81)) and calibration (O/E ratio = 1.01). After updating the original model, there was no change in the AUC value or calibration. Additionally, our findings indicate that the indirect estimates are nearly identical to the observed values in STEPs 2011 survey. In the second part of the study, by applying the recalibrated model to a subsample, the indirect prevalence of undiagnosed diabetes and T2DM (95% CI) were estimated at 4.18% (3.87, 4.49) and 11.1% (9.34, 13.1), respectively.ConclusionGiven the strong performance of the model, it appears that indirect method can provide a cost-effective and simple approach to assess disease prevalence and intervention effectiveness.Graphical

Development and validation of a relatively accurate gastric cancer high-risk group screening scoring system in urban residents.

Our study aimed to develop a relatively accurate gastric cancer (GC) screening score system for urban residents and to validate the screening efficacy. The present study included a derivation cohort (n = 3406) and a validation cohort (n = 868) of urban residents. Applying the full-stack engineering intelligent system platform of Hualian Health Big Data of Shandong University, the clinical physical examination data of subjects were collected. Univariate and multivariate analyses were used to identify risk factors for GC, and subsequently, an optimal prediction rule was established to create three distinct scoring systems. In the GC-risk scoring system I, age, plateletocrit (PCT), carcinoembryonic antigen (CEA), glucose, albumin, creatinine were independent risk factors of GC, with scores ranging from 0 to 28 and optimal cut-off was 15.5. The second scoring system consisted of age, PCT, RDW-CV, CEA, glucose, albumin, and creatinine, with scores ranging from 0 to 31. The optimal cut-off point was determined to be 15.5. The scoring system III comprise of age, sex, PCT, RDW CV, CEA, glucose, with scores ranging from 0 to 21 and optimal cut-off was 10.5. All three scoring systems demonstrated excellent discrimination for GC, achieving an AUC of 0.884, 0.89, and 0.876, respectively. In external validation, the AUC values were 0.654, 0.658, and 0.714. Notably, the GC-risk scoring system III exhibited the highest screening efficiency. Urban residents benefited from the effective and verified GC-risk scoring systems, which demonstrated excellent performance in identifying individuals with an elevated risk of GC.

Computed tomography and coronary artery calcium score for screening of coronary artery disease and cardiovascular risk management in asymptomatic individuals.

Several risk prediction models exist to predict atherosclerotic cardiovascular disease in asymptomatic individuals, but systematic reviews have generally found these models to be of limited utility. The coronary artery calcium score (CACS) offers an improvement in risk prediction, yet its role remains contentious. Notably, its negative predictive value has ahigh ability to rule out clinically relevant atherosclerotic cardiovascular disease. Nonetheless, CACS 0does not permanently reclassify to alower cardiovascular risk and periodic reassessment every 5to 10years remains necessary. Conversely, elevated CACS (> 100 or > 75th percentile adjusted for age, sex and ethnicity) can reclassify intermediate-risk individuals to ahigh risk, benefiting from preventive medication. The forthcoming update to the Dutch cardiovascular risk management guideline intends to re-position CACS for cardiovascular risk assessment as such in asymptomatic individuals. Beyond CACS as asingle number, several guidelines recommend coronary CT angiography (CCTA), which provides additional information about luminal stenosis and (high-risk) plaque composition, as the first choice of test in symptomatic patients and high-risk patients. Ongoing randomised studies will have to determine the value of atherosclerosis evaluation with CCTA for primary prevention in asymptomatic individuals.

Beyond Physical Injury: Routine Screening for Acute Stress Disorder and Posttraumatic Stress Disorder in Pediatric Trauma Patients – A Longitudinal Cohort Pilot Study

IntroductionEarly identification of children at risk for PTSD is critical for improving mental health outcomes after traumatic injury. Currently, there is no standard PTSD screen for pediatric trauma patients and limited data on long-term quality of life for those who screen positive. MethodsIn 2022, we piloted a comprehensive routine screening program for ASD and PTSD at our Level I PTC. All admitted trauma patients ≥8 years old were eligible for screening. Inpatients were administered the ASC3. Those who screened positive were referred for follow-up and repeat mental health evaluation. PTSD screening (CTSQ, CPSS) and quality-of-life screening (PedsQL™) surveys were administered to eligible discharged trauma patients at 1-month post-injury. Children who screened positive on the CTSQ or CPSS were referred for behavioral health services. Results205 children were screened for ASD using the ASC3. 49/205 children (23.9 %) had a positive screen (score ≥3). 56 children completed PTSD screening at 1-month post-discharge. 14/54 children (25.9 %) screened positive on CTSQ, and 8/50 children (16 %) screened positive on CPSS. There was a significant positive correlation between CTSQ and CPSS scores (r 0.76, ∗P<0.0001). When stratified by screening results, patients who screened positive on CTSQ and CPSS were found to have the most significant correlations with poor School and Emotional Functioning on their quality-of-life inventory. ConclusionEarly screening for ASD may be predictive of later development of PTSD in children. Screening using previously validated tools (ASC3, CTSQ, CPSS) were effective in identifying children with negative emotional functioning lasting beyond the acute phase of physical recovery following injury. CTSQ and CPSS both performed well for screening at one-month post-discharge. Early identification can facilitate timely referral to mental health services to potentially minimize long-term socioemotional impact of PTSD.

Performance replication of the Hospital Mental Health Risk Screen in ethnoracially diverse U.S. patients admitted through emergency care.

Patients admitted to hospitals after emergency care for injury or acute illness are at risk for later mental health problems. The American College of Surgeons Committee on Trauma Standards for care of injured patients call for mental health risk screening, and the Hospital Mental Health Risk Screen (HMHRS) accurately identified at-risk patients in a developmental study that included patients from five ethnoracial groups. Replication of these findings is essential, because initial positive results for predictive screens can fail to replicate if the items were strongly related to outcomes in the development sample but not in a new sample from the population the screen was intended for. Replication of the predictive performance of the 10-item HMHRS was studied prospectively in ethnoracially diverse patients admitted after emergency care for acute illness or injury in three hospitals across the U.S. Risk screen scores and follow-up mental health outcomes were obtained for 452 of 631 patients enrolled (72%). A cut score of 10 on the HMHRS correctly identified 79% of the patients who reported elevated levels of depression, anxiety, and PTSD symptoms two months post-admission (sensitivity) and 72% of the patients whose symptoms were not elevated (specificity). HMHRS scores also predicted well for patients with acute illness, for patients with injuries, and for patients who reported an Asian American/Pacific Islander, Black, Latinx, Multirace, or White identity. Predictive performance of the HMHRS was strong overall and within all five ethnoracial subgroups. Routine screening could reduce suffering and health care costs, increase health and mental health equity, and foster preventive care research and implementation. The performance of the HMHRS should be studied in other countries and in other populations of recent trauma survivors, such as survivors of disaster or mass violence.

The reliability and validity of in-person and remote behavioural screening tools for people with amyotrophic lateral sclerosis

ObjectiveThis study aimed to assess the psychometric properties of and relationships between total scores on different screening tools assessing behavioural change for people with amyotrophic lateral sclerosis (ALS), and whether administering the screens as online questionnaires (rather than on paper, in-person) influences total scores. MethodsThe behavioural component of the Edinburgh Cognitive and Behavioural ALS Screen (ECASb); the behavioural component of the ALS Cognitive Behavioural Screen (ALS-CBSb), the ALS-Frontotemporal Dementia Questionnaire (ALS-FTD-Q), the Beaumont Behavioural Inventory (BBI), and the Motor Neuron Disease Behavioural Instrument (MiND-B) were administered to 35 informants on paper. Online questionnaire versions of the behavioural screens were administered to 49 informants.Forward stepwise linear regressions were conducted to assess whether scores on behavioural screens were predicted by scores on the other behavioural screens and to assess whether total scores were predicted by the mode of administration (paper or online) of the screens. ResultsBehavioural screening tools, except the ECASb, had good internal consistency but mixed item-total correlations. All regression models assessing whether behavioural screen scores predict other behavioural screen scores were significant. The BBI performed best and the ECASb performed worst in terms of their predictive relationships with other screening tools. The administration mode of the questionnaires did not significantly affect total scores. ConclusionsThe psychometric properties of the scales varied. The scales predicted each other's scores, supporting convergent validity. Online and paper versions performed similarly, and demographics did not predict scores.

The Edmonton Frail Scale as a screening score for frailty in oncogeriatrics.

The comprehensive geriatric assessment (CGA) is recommended for assessing frailty in older cancer patients but is time-consuming. The G8 screening tool was developed to select frail patients requiring CGA to optimize resources. The Edmonton Frail Scale (EFS) is another frailty scale validated for preoperative frailty screening, but scarcely studied in the field of oncogeriatrics. In this study, we examined the added value of the EFS in older cancer patients already considered as frail by the G8, by analyzing the association of EFS with CGA adjusted for age, gender, metastatic stage and comorbidity. We also analyzed the association of EFS with the one-year mortality rate after adjusting for cancer type and metastatic stage. This retrospective study included patients aged over 70 years old with a new diagnosis of cancer, considered as potentially frail according to the G8 and who had had a CGA (N = 380). The EFS identified 329 (86.58%) patients as frail and having a statistically significant predicted number of pathological components on the CGA (r = 0.64, p < 0.001). When adjusted for age, sex, comorbidity, and metastatic stage, the EFS was independently associated with the CGA (p < 0001), as well as with comorbidity (p = 0.004). The patients who died in the first year (43%) had a significantly higher mean EFS score (8/17) than living patients (6/17) (p < 0.0001). After adjustment for cancer type and stage, EFS independently predicted one-year mortality (OR 1.17; 95% CI 1.08-1.28; pseudo R 2 = 0.228, p < 0.001). The EFS is a reliable tool for predicting frailty identified by the CGA in an older cancer population pre-selected as frail by the G8. EFS is an independent predictor of one-year mortality after adjustment for confounding factors. Validation of the EFS as a screening tool for frailty in cancer requires further studies to assess its performance in patients with normal G8 scores.

Don't Forget About Your Memory...Exploring Need And Impact Of A Cognitive Strategies Group On Older Adults Following Comprehensive Geriatric Assessment

Abstract Background The increasing prevalence of mild cognitive impairment (MCI) and dementia in older adults in Ireland, with projections of up to 20% of over 80-year-olds affected, is widely documented (TILDA 2023). Due attention is required in service planning to provide tailored non-pharmacological and lifestyle interventions to this growing cohort. This review aims to analyse the need for and impact of a cognitive strategies and brain health intervention group on older adults attending the Integrated Day Hospital (IDH) as part of an ICPOP service. Methods Retrospective analysis of the health care record was complete on older adults over 70 years with recent deterioration in cognitive or functional status. Cognitive screening scores and diagnoses received at the IDH were gathered to inform presence of MCI or dementia. Permission was sought from the authors of a cognitive strategies and brain health intervention group which was delivered to a sample of older adults and evaluated as part of the Jog Your Memory Program (HSE 2020). Results Preliminary results indicate a cohort of 355 older adults. Analysis of cognitive screening scores reflect prevalence of MCI at 15% and dementia at 35%. The Jog Your Memory program is implemented over 4 sessions. 2 programs were complete in October 2023 and April 2024 with 16 participants. Evaluation was complete with 100% of participants reporting benefits including acquisition of memory strategies, improved confidence and increased knowledge of MCI. Implementing this program optimises therapist time indicating cost saving. Final findings will be available for the purpose of this poster presentation. Conclusion The prevalence of cognitive impairment is broadly in keeping with previous audit (2023). The intervention group implementation and evaluation are ongoing. Participant feedback suggests the intervention is meeting the needs of this cohort. Future work will focus on scaling up the intervention group and integrating with other local services.

Association of inpatient postpartum recovery with patient-reported outcome measures following hospital discharge: a prospective cohort study

BackgroundThe relationship between the quality of inpatient versus outpatient obstetric postpartum recovery is under-explored. We examined the association between inpatient reported quality of recovery with outpatient global recovery, pain severity, pain interference, anxiety, and depression screening scores postpartum.MethodsWe conducted a multicenter observational cohort study of women in labor who underwent vaginal, operative vaginal, or intrapartum cesarean birth. Subjects completed baseline assessments of pain, social support, anxiety, and depression in early labor. We assessed the Obstetric Quality of Recovery-10 (ObsQoR-10) on the day of discharge and the ObsQoR-10, Global Health Scale (GHVAS; 0–100), Brief Pain Inventory (BPI), and the Edinburgh Postnatal Depression Scale (EPDS) on postpartum day seven. We hypothesized that the ObsQoR-10 scores at discharge would be useful in predicting postpartum day seven measures of recovery and postpartum depression screening scores.ResultsWe consented 558 subjects, 551/558(98%) completed baseline assessments, 400/551(72%) completed the ObsQoR-10 tool, and 344/551(62%) completed an EPDS assessment. Median (1st, 3rd quartile) ObsQoR-10 scores were 78 (63, 90) at discharge and 85 (68,93) on postpartum day seven, (difference of 7 [99% CI 2 to 13], P < 0.001). GHVAS on postpartum day seven identified 204/344 (59%) of subjects with good recovery. An ObsQoR-10 score of > 86 at discharge had a RR of 1.5 [95% CI 1.2 to 1.8], P < 0.001 for good recovery at postpartum day seven, the EPDS identified 20/344 (5.8%) respondents with a score ≥ 13 on postpartum day seven. The area under the curve between the ObsQoR-10 at discharge with an EPDS ≥ 13 was 0.74 (99% CI 0.61 to 0.86, P < 0.001). The RR for an EPDS ≥ 13 on postpartum day seven with an ObsQoR-10 < 77 on the day of discharge was 7.8 (95% CI 1.8 to 33.8; P = 0.001).ConclusionsObsQoR-10 scores at discharge and postpartum day seven demonstrated increased obstetric recovery in the post-discharge period. The observed association between the ObsQoR-10 and the EPDS, suggests that the ObsQoR-10 might facilitate identification of women at increased risk of postpartum anxiety or depression. Identification of high-risk women at discharge may allow early interventions to reduce morbidity secondary to postpartum depression.

Nested case control study of prevalence and aetiology of dementia in a rural Ugandan population, and a situational analysis of services available for affected families: a protocol. Part of the DEPEND Uganda study (Dementia EPidemiology, unmet Need and co-Developing Solutions).

The prevalence of dementia in low- and middle-income countries is increasing, yet epidemiological data from African populations remain scarce. Crucial risk factors differ in Africa from more intensively studied global areas, including a high burden of cerebrovascular disease and HIV, but lower rates of other risk factors like physical inactivity.Understanding dementia aetiology in African settings has been limited by the expensive and invasive nature of biomarker testing. This study leverages developments in blood-based and retinal imaging biomarker technology to examine the drivers of dementia in older Ugandans.People with dementia have complex needs benefiting from multi-dimensional support. Understanding current services will allow identification of barriers and opportunities to strengthen support available to people with dementia and their families. The study is nested within the existing General Population Cohort run by the MRC/UVRI & LSHTM Research Unit. Currently, all adults aged 60+ (around 1400) are undergoing brief cognitive screening.In Part 1, cohort participants will be selected based on cognitive screening scores to undergo detailed cognitive assessment, using methods developed by the 10/66 Dementia Research Group. Part 2 is a case control study of people with and without dementia using antecedent data, questionnaires, physical assessment, retinal imaging, and Alzheimer's blood-based biomarkers. We will also compare disability, frailty, quality of life, and social engagement in people with and without dementia.Part 3 assesses current provision of formal support for people with dementia through review of publicly available literature and expert interviews. This is the first study in Africa using blood-based and retinal imaging biomarkers to examine the pathological processes underlying dementia, and it will systematically map services available for people with dementia. This paves the way for effective policy strategies for both dementia prevention and support for people with dementia and their families.

A cross-sectional analysis of four common clinical decision rules for pulmonary embolism, Mashhad, Iran.

Pulmonary embolism (PE) is a potentially fatal condition. Several non-invasive clinical decision rules (CDRs) were developed for the safe exclusion of PE. All CDRs used to safely rule out PE have been created and tested within hospital or acute care environments. However, CDRs that are designed in one specific setting may not perform as effectively when used in a different setting. In this study, we aimed to compare the performance of four common CDRs; Wells Score, Simplified Wells Score, revised Geneva Score, and simplified revised Geneva Score. This was a cross-sectional study in which patients suspected of PE presenting to Imam Reza Hospital or Ghaem Hospital were recruited from September 23, 2013, to March 19, 2016 in Mashhad, Iran. The specificity, sensitivity, and accuracy were utilized as metrics to compare the CDRs in our region. Two hundred and forty patients were included in the study. The mean age of patients was 57.91±19.97 years, and 54.16% of them (n=130) were female. 120 patients were confirmed to have PE with CT angiography. Wells score showed the highest sensitivity (90.4%) and revised Geneva score represented the highest specificity (84.9%). The highest accuracy belongs to the simplified Wells score (62.3%). In this study, we demonstrated that the Wells criteria with its high sensitivity, can be used as a score for screening, and the revised Geneva score with its high specificity, can be used in the second stage for healthy people who have been diagnosed as unhealthy by the Wells score.

Exploring the reliability and validity of clinically-relevant outcome measures for chemotherapy-induced peripheral neuropathy.

To explore the reliability and validity of clinically-relevant outcome measures for balance (i.e., The Short Physical Performance Battery [SPPB] - Balance Subscale) and sensation (i.e., monofilament threshold testing) for use in clinical trials of chemotherapy-induced peripheral neuropathy (CIPN). Adult, post-treatment cancer survivors (N = 142) who had reported ≥ 4/10 CIPN symptom severity following neurotoxic chemotherapy were recruited from six National Cancer Institute Community Oncology Research Program (NCORP) sites associated with the University of Rochester Cancer Center NCORP Research Base. Participants completed the monofilament threshold test at the screening and baseline time points (i.e., one week apart), while the Quality of Life Questionnaire-CIPN20, Treatment-Induced Neuropathy Assessment Scale, and SPPB - Balance Subscale were completed at baseline. Test-retest reliability of the monofilament threshold testing scores was assessed using the Intraclass Correlation Coefficient (ICC). The convergent validity among monofilament threshold testing, SPPB - Balance Subscale, and CIPN patient-reported outcome (PRO) scores at baseline was assessed using Spearman's correlation. Ceiling effects were observed for SPPB-Balance Subscale scores as 113 (79.6%) respondents reported the highest score. Agreement between the screening and baseline monofilament threshold testing scores was moderate (ICC = 0.65). Monofilament threshold testing (rs Range: 0.14 - 0.21) and SPPB Balance Subscale scores (rs Range: -0.36 - -0.22) showed largely low correlations with all PRO measures. Monofilament threshold testing demonstrated moderate test-retest reliability, but low convergent validity with CIPN PROs, while the SPPB - Balance Subscale demonstrated low convergent validity with CIPN PROs and ceiling effects (i.e., highest possible score) among post-treatment cancer survivors with CIPN. Future research is needed to identify promising measures of balance and sensation loss for use in clinical trials that complement CIPN PROs to aid in the identification of clinically relevant treatments for CIPN. NCT04367490 [April 29, 2020].

Breast cancer screening motivation among women: an application of self-determination theory

BackgroundBreast cancer is a major health concern worldwide, especially in Vietnam. This study aimed to explore women’s motivation for and factors related to breast cancer screening.MethodsA mixed-methods study was conducted in Danang, Vietnam, using a convergent parallel approach. This study utilized both quantitative and qualitative methods to gather the data. The quantitative approach involved surveys to assess motivation levels and related factors, including demographic information and experience with breast cancer screening. In-depth qualitative interviews were used to gain deeper insights into participants' perspectives and experiences related to breast cancer screening.ResultsThe average motivation score for breast cancer screening was moderate (3.55 ± 0.55). Ethnicity, regular health check-ups, family history of breast cancer, receiving information about breast cancer, and women’s health issues have direct relationships with breast cancer screening motivation. According to the qualitative data, three categories emerged: intrinsic motivation, external motivation/internalization, and amotivation. The individual, and sociocultural environmental factors impacted screening motivation.ConclusionsThis study highlights the motivations behind breast cancer screening among women. Healthcare providers could use these findings to improve screening policies and guidelines and encourage more women to undergo regular screening, ultimately reducing the incidence of breast cancer in the community.

Deep Learning-Based Blood Abnormalities Detection as a Tool for VEXAS Syndrome Screening.

VEXAS is a syndrome described in 2020, caused by mutations of the UBA1 gene, and displaying a large pleomorphic array of clinical and hematological features. Nevertheless, these criteria lack significance to discriminate VEXAS from other inflammatory conditions at the screening step. This work hence first focused on singling out dysplastic features indicative of the syndrome among peripheral blood (PB) polymorphonuclears (PMN). A deep learning algorithm is then proposed for automatic detection of these features. A multicentric dataset, comprising 9514 annotated PMN images was gathered, including UBA1 mutated VEXAS (n = 25), UBA1 wildtype myelodysplastic (n = 14), and UBA1 wildtype cytopenic patients (n = 25). Statistical analysis on a subset of patients was performed to screen for significant abnormalities. Detection of these features on PB was then automated with a convolutional neural network (CNN) for multilabel classification. Significant differences were observed in the proportions of PMNs with pseudo-Pelger, nuclear spikes, vacuoles, and hypogranularity between patients with VEXAS and both cytopenic and myelodysplastic controls. Automatic detection of these abnormalities yielded AUCs in the range [0.85-0.97] and a F1-score of 0.70 on the test set. A VEXAS screening score was proposed, leveraging the model outputs and predicting the UBA1 mutational status with 0.82 sensitivity and 0.71 specificity on the test patients. This study suggests that computer-assisted analysis of PB smears, focusing on suspected VEXAS cases, can provide valuable insights for determining which patients should undergo molecular testing. The presented deep learning approach can help hematologists direct their suspicions before initiating further analyses.

Controlling nutritional (CONUT) score for nutritional screening in kidney transplant recipients

Purpose: Nutrition is severely impaired in individuals with renal impairment, and transplant often ameliorates this condition. In this study, we aimed to evaluate the controlling nutritional status (CONUT) score of kidney transplant (KT) recipients. Materials and methods: Using the data from the nephrology transplant unit, we analyzed 188 patients whose data on the constituents of the CONUT score were available. We included KT individuals with at least one lymphocyte count and total cholesterol and albumin concentrations. This data has been used to calculate the CONUT score. The decrease of lymphocyte counts and total cholesterol was determined with 0, 1, 2, and 3 points, and the reduction of albumin was assigned with 0, 2, 4, and 6 points in agreement with disease severity. Patients were classified according to this score: normal, light, moderate, and severe. Results: There were 138 patients in normal, 54 in light, and three in each moderate and severe group. The CONUT score was good for regular-weight patients both before and after transplantation. All laboratory findings revealed significant differences between CONUT groups (p&lt; 0.05). The logistic regression analysis model, including cholesterol, WBC, and calcium, showed that these three parameters have a predictive value of 80%. Conclusion: After transplantation, the number of patients in the underweight group decreased when normal weight and obesity increased. However, some patients’ nutrition was not ameliorated. The CONUT score may be a useful tool for monitoring transplant patients’ nutritional status.