Longitudinal follow-up of postacute COVID-19 syndrome: DLCO, quality-of-life and MRI pulmonary gas-exchange abnormalities.

129Xe MRI red blood cell to alveolar tissue plasma ratio (RBC:TP) abnormalities have been observed in ever-hospitalised and never-hospitalised people with postacute COVID-19 syndrome (PACS). But, it is not known if such abnormalities resolve when symptoms and quality-of-life scores improve. We evaluated 21 participants with PACS, 7±4 months (baseline) and 14±4 months (follow-up) postinfection. Significantly improved diffusing capacity of the lung for carbon monoxide (DLCO, Δ=14%pred ;95%CI 7 to 21, p<0.001), postexertional dyspnoea (Δ=-0.7; 95%CI=-0.2 to -1.2, p=0.019), St George's Respiratory Questionnaire-score (SGRQ Δ=-6; 95% CI=-1 to -11, p=0.044) but not RBC:TP (Δ=0.03; 95% CI=0.01 to 0.05, p=0.051) were observed at 14 months. DLCO correlated with RBC:TP (r=0.60, 95% CI=0.22 to 0.82, p=0.004) at 7 months. While DLCO and SGRQ measurements improved, these values did not normalise 14 months post-infection. ClinicalTrials.gov NCT04584671.

Reduced Total Airway Count and Airway Wall Tapering after Three-Years in Ex-Smokers.

Computed tomography (CT) total-airway-count (TAC) and airway wall-thickness differ across chronic obstructive pulmonary disease (COPD) severities, but longitudinal insights are lacking. The aim of this study was to evaluate longitudinal CT airway measurements over three-years in ex-smokers. In this prospective convenience sample study, ex-smokers with (n = 50; 13 female; age = 70 ± 9 years; pack-years = 43 ± 26) and without (n = 40; 17 female; age = 69 ± 10 years; pack-years = 31 ± 17) COPD completed CT, 3He magnetic resonance imaging (MRI), and pulmonary function tests at baseline and three-year follow-up. CT TAC, airway wall-area (WA), lumen-area (LA), and wall-area percent (WA%) were generated. Emphysema was quantified as the relative-area-of-the-lung with attenuation < -950 Hounsfield-units (RA950). MRI ventilation-defect-percent (VDP) was also quantified. Differences over time were evaluated using paired-samples t tests. Multivariable prediction models using the backwards approach were generated. After three-years, forced-expiratory-volume in 1-second (FEV1) was not different in ex-smokers with (p = 0.4) and without (p = 0.5) COPD, whereas RA950 was (p < 0.001, p = 0.02, respectively). In ex-smokers without COPD, there was no change in TAC (p = 0.2); however, LA (p = 0.009) and WA% (p = 0.01) were significantly different. In ex-smokers with COPD, TAC (p < 0.001), WA (p = 0.04), LA (p < 0.001), and WA% (p < 0.001) were significantly different. In all ex-smokers, TAC was related to VDP (baseline: ρ = -0.30, p = 0.005; follow-up: ρ = -0.33, p = 0.002). In significant multivariable models, baseline airway wall-thickness was predictive of TAC worsening. After three-years, in the absence of FEV1 worsening, TAC diminished only in ex-smokers with COPD and airway walls were thinner in all ex-smokers. These longitudinal findings suggest that the evaluation of CT airway remodeling may be a useful clinical tool for predicting disease progression and managing COPD.Clinical trial registration: www.clinicaltrials.gov NCT02279329.

Evaluating the efficacy of a digital App to enhance patient-centred nursing handover: A simulation study.

AIM: The study aim was to evaluate the feasibility and efficacy of a digital App developed to enhance patient communication with nurses during bedside nursing handover at shift change. METHODS: Six nurses and 11 patient actors/volunteers participated in 12 simulated nursing handovers across six simulation workshops. Over half the patients were aged 70+ years (55%); majority were female (82%). Handover video recordings were analysed using a structured observation tool and a revised Four Habits Coding Scheme to assess nurses' handover communication skills. Patient and nurse feedback was also sought. The STROBE checklist (Data S1) guided preparation of the study. RESULTS: For all simulated handovers (n = 12): Nurses greeted the patient at commencement; nurses made eye contact with the patient; patients were given opportunity to ask questions; and all patient questions were answered. Nurses explained the handover process for less than half the handovers (42%). Familiarity with the patient's history was evident in every handover. Communication behaviours identified in most handovers included: good nonverbal behaviour; allowing time for the patient to absorb information; giving clear explanations; involving the patient in decisions; and exploring acceptability of the care plan. Patient and nurse feedback on the App included: The App was easy to navigate, features were well-liked, with some improvements suggested. CONCLUSION: Patients and nurses provided positive feedback for the App during hospital stay and at handover. The App has the potential to enhance existing handover processes and increase safety of hospital care by using technology to educate and empower patients/carers to be active partners in communication with nurses during change-of-shift handover. RELEVANCE TO CLINICAL PRACTICE: The App empowers and enables patients/carers to actively participate in nursing handover and allows patients to communicate concerns and provide information to their nursing team, facilitating a new approach. PATIENT OR PUBLIC CONTRIBUTION: Patients and carers were involved in the research from the original co-design workshops that guided the development of the handover App. The research aims and outcome measures were informed by the experiences and preferences of patients/carers. Two patient representatives were involved in writing and submission of the grant application for the study to evaluate the efficacy of the App and were listed as co-authors on this paper. Patient volunteers were involved in the current study to pilot test the handover App. Patient volunteers were recruited through a consumer representative and volunteer registry at the health service. They participated in simulated nursing handovers with two nurses to assess the feasibility and acceptability of the handover App and then provided feedback and suggestions for improvement.

Chemical and Biological Review of Endophytic Fungi Associated with Morus sp. (Moraceae) and In Silico Study of Their Antidiabetic Potential.

The chronic nature of diabetes mellitus motivates the quest for novel agents to improve its management. The scarcity and prior uncontrolled utilization of medicinal plants have encouraged researchers to seek new sources of promising compounds. Recently, endophytes have presented as eco-friendly leading sources for bioactive metabolites. This article reviewed the endophytic fungi associated with Morus species and their isolated compounds, in addition to the biological activities tested on their extracts and chemical constituents. The relevant literature was collected from the years 2008-2022 from PubMed and Web of Science databases. Notably, no antidiabetic activity was reported for any of the Morus-associated endophytic fungal extracts or their twenty-one previously isolated compounds. This encouraged us to perform an in silico study on the previously isolated compounds to explore their possible antidiabetic potential. Furthermore, pharmacokinetic and dynamic stability studies were performed on these compounds. Upon molecular docking, Colletotrichalactone A (14) showed a promising antidiabetic activity due to the inhibition of the α-amylase local target and the human sodium-glucose cotransporter 2 (hSGT2) systemic target with safe pharmacokinetic features. These results provide an in silico interpretation of the possible anti-diabetic potential of Morus endophytic metabolites, yet further study is required.

GC/MS Profiling of the Essential Oil and Lipophilic Extract of Moricandia sinaica Boiss. and Evaluation of Their Cytotoxic and Antioxidant Activities.

The genus Moricandia (Brassicaceae) comprises about eight species that were used in traditional medicine. Moricandia sinaica is used to alleviate certain disorders such as syphilis and exhibits analgesic, anti-inflammatory, antipyretic, antioxidant, and antigenotoxic properties. Throughout this study, we aimed to figure out the chemical composition of lipophilic extract and essential oil obtained from M. sinaica aerial parts using GC/MS analysis, as well as their cytotoxic and antioxidant activities correlated with the major detected compounds' molecular docking. The results revealed that both the lipophilic extract and the oil were found to be rich in aliphatic hydrocarbons, accounting for 72.00% and 79.85%, respectively. Furthermore, the lipophilic extract's major constituents are octacosanol, γ-sitosterol, α-amyrin, ß-amyrin acetate, and α-tocopherol. Contrarily, monoterpenes and sesquiterpenes accounted for the majority of the essential oil. The essential oil and the lipophilic extract of M. sinaica showed cytotoxic properties towards human liver cancer cells (HepG2) with IC50 values of 126.65 and 220.21 µg/mL, respectively. The lipophilic extract revealed antioxidant activity in the DPPH assay with an IC50 value of 2679 ± 128.13 µg/mL and in the FRAP assay, moderate antioxidant potential was expressed as 44.30 ± 3.73 µM Trolox equivalent/mg sample. The molecular docking studies revealed that ꞵ-amyrin acetate, α -tocopherol, γ-sitosterol, and n-pentacosaneachieved the best docking scores for NADPH oxidase, phosphoinositide-3 kinase, and protein kinase B. Consequently, M. sinaica essential oil and lipophilic extract can be employed as a viable management strategy for oxidative stress conditions and the formulation of improved cytotoxic treatment regimens.

Developing a personalised, evidence-based and inclusive learning (PEBIL) model of blended learning: A cross-sectional survey.

Whilst the use of various blended learning models preceded the COVID-19 pandemic, the abrupt shift to remote delivery served as catalyst within the sector in enhancing digital solutions to meet immediate student needs. As we emerge from the pandemic, a return to purely didactic and impersonal in-person teaching seems anticlimactic, with the return to the lecture theatre seeing many lecturers trialling various digital tools in creating more interactive in-person, synchronous, and asynchronous sessions. In evaluating students' experiences of the various tools and approaches applied by academic staff, a survey was developed by a multidisciplinary team of educators at Cardiff University's School of Medicine exploring student perceptions of e-learning resources (ELRs), as well as student experiences of various blended learning approaches. The primary aim of this study was to evaluate student experience, satisfaction, and engagement with ELRs and blended learning. A total of 179 students (undergraduate and postgraduate) completed the survey. 97% confirmed that e-learning resources were blended within the teaching they received, with 77% rating the quality of e-learning as good-to-excellent and 66% reporting a preference for asynchronous resources that enable them to learn at their own pace. A variety of platforms, tools, and approaches were identified by students as meeting their diverse learning needs. We therefore propose a personalised, evidence-based and inclusive learning (PEBIL) model enabling the application of digital technologies both on and offline.

Persistent 129Xe MRI Pulmonary and CT Vascular Abnormalities in Symptomatic Individuals with Post-acute COVID-19 Syndrome.

BACKGROUND: In patients with post-acute COVID-19 syndrome (PACS), abnormal gas-transfer and pulmonary vascular density have been reported, but such findings have not been related to each other or to symptoms and exercise limitation. The pathophysiologic drivers of PACS in patients previously infected with COVID-19 who were admitted to in-patient treatment in hospital (or ever-hospitalized patients) and never-hospitalized patients are not well understood. PURPOSE: To determine the relationship of persistent symptoms and exercise limitation with xenon 129 (129Xe) MRI and CT pulmonary vascular measurements in individuals with PACS. MATERIALS AND METHODS: In this prospective study, patients with PACS aged 18-80 years with a positive polymerase chain reaction COVID-19 test were recruited from a quaternary-care COVID-19 clinic between April and October 2021. Participants with PACS underwent spirometry, diffusing capacity of the lung for carbon monoxide (DLco), 129Xe MRI, and chest CT. Healthy controls had no prior history of COVID-19 and underwent spirometry, DLco, and 129Xe MRI. The 129Xe MRI red blood cell (RBC) to alveolar-barrier signal ratio, RBC area under the receiver operating characteristic curve (AUC), CT volume of pulmonary vessels with cross-sectional area 5 mm2 or smaller (BV5), and total blood volume were quantified. St George's Respiratory Questionnaire, International Physical Activity Questionnaire, and modified Borg Dyspnea Scale measured quality of life, exercise limitation, and dyspnea. Differences between groups were compared with use of Welch t-tests or Welch analysis of variance. Relationships were evaluated with use of Pearson (r) and Spearman (ρ) correlations. RESULTS: Forty participants were evaluated, including six controls (mean age ± SD, 35 years ± 15, three women) and 34 participants with PACS (mean age, 53 years ± 13, 18 women), of whom 22 were never hospitalized. The 129Xe MRI RBC:barrier ratio was lower in ever-hospitalized participants (P = .04) compared to controls. BV5 correlated with RBC AUC (ρ = .44, P = .03). The 129Xe MRI RBC:barrier ratio was related to DLco (r = .57, P = .002) and forced expiratory volume in 1 second (ρ = .35, P = .03); RBC AUC was related to dyspnea (ρ = -.35, P = .04) and International Physical Activity Questionnaire score (ρ = .45, P = .02). CONCLUSION: Xenon 129 (129Xe) MRI measurements were lower in participants previously infected with COVID-19 who were admitted to in-patient treatment in hospital with post-acute COVID-19 syndrome, 34 weeks ± 25 after infection compared to controls. The 129Xe MRI measures were associated with CT pulmonary vascular density, diffusing capacity of the lung for carbon monoxide, exercise capacity, and dyspnea. Clinical trial registration no.: NCT04584671 © RSNA, 2022 Online supplemental material is available for this article See also the editorial by Wild and Collier in this issue.

Hypothyroidism affect progression and worse outcomes of breast cancer but not ovarian cancer.

Some studies suggest that thyroid hormones and disorders can influence breast (BC) and ovarian (OC) cancers risks. However, studies regarding their effect on these tumors progression are limited. Thyroid-stimulating hormone (TSH), T4, free T4 (FT4), T3, and free T3 (FT3) were detected in patients with BC, OC, benign breast and ovary diseases, and healthy controls using highly sensitive chemiluminescence assay. In contrast to OC, hypothyroidism prevalence was associated with BC late stage (11/24 vs. 2/46), high grade (11/23 vs. 4/47), lymph node invasion (11/42 vs. 0/28), positive distant metastasis (11/25 vs. 1/45), and large tumor size (14/25 vs. 1/45) compared to tumor early stages, low grades, negative lymph node, and distant metastasis and small size, respectively. Patients with late stage, high grade, large tumor size, positive lymph nodes, or positive distant metastasis were significantly (P < 0.05) associated with elevated levels of TSH and decreased levels of T4, FT4, T3, and FT3. There were both significant positive correlation of serum TSH and significant inverse correlation of T4, FT4, T3, and FT3 with these tumor worse outcomes. In conclusion, our results identify hypothyroidism as potentially important prognostic factor in BC not in OC that is associated with poor outcomes of BC patients.

Technology-based support for stroke caregiving: A rapid review of evidence.

AIM: This rapid review examines the technology-based interventions for caregivers of stroke proposed in the literature while also identifying the acceptance, effectiveness and satisfaction of the implemented approaches. BACKGROUND: The increasing burden of supporting stroke survivors has resulted in caregivers searching for innovative solutions, such as technology-based interventions, to provide better care. Hence, its potential to support caregivers throughout the disease trajectory needs to be assessed. EVALUATION: Five electronic databases were systematically searched for articles related to stroke caregiving technologies based on well-defined inclusion and exclusion criteria. KEY ISSUE(S): Fifteen articles met the inclusion criteria that focused on supporting caregivers through functionalities such as education, therapy and support, remote consultations, health assessments and logs and reminders using different devices. The majority of interventions demonstrated positive conclusions for caregiving impact, acceptance, effectiveness and satisfaction. CONCLUSION: Findings highlight the influences of technology in improving stroke caregiving and the need to include user-centred design principles to create a meaningful, actionable and feasible system for caregivers. IMPLICATIONS FOR NURSING MANAGEMENT: Technology can educate and support stroke caregivers, thereby minimizing uncertainty and ensuring better care for the survivor.

A large scale analysis of mHealth app user reviews.

The global mHealth app market is rapidly expanding, especially since the COVID-19 pandemic. However, many of these mHealth apps have serious issues, as reported in their user reviews. Better understanding their key user concerns would help app developers improve their apps' quality and uptake. While app reviews have been used to study user feedback in many prior studies, many are limited in scope, size and/or analysis. In this paper, we introduce a very large-scale study and analysis of mHealth app reviews. We extracted and translated over 5 million user reviews for 278 mHealth apps. These reviews were then classified into 14 different aspects/categories of issues reported. Several mHealth app subcategories were examined to reveal differences in significant areas of user concerns, and to investigate the impact of different aspects of mhealth apps on their ratings. Based on our findings, women's health apps had the highest satisfaction ratings. Fitness activity tracking apps received the lowest and most unfavourable ratings from users. Over half of users who reported troubles leading them to uninstall mHealth apps gave a 1-star rating. Half of users gave the account and logging aspect only one star due to faults and issues encountered while registering or logging in. Over a third of users who expressed privacy concerns gave the app a 1-star rating. However, only 6% of users gave apps a one-star rating due to UI/UX concerns. 20% of users reported issues with handling of user requests and internationalisation concerns. We validated our findings by manually analysing a sample of 1,000 user reviews from each investigated aspect/category. We developed a list of recommendations for mHealth apps developers based on our user review analysis.

Silver nanoparticles with epigallocatechingallate and zinc sulphate significantly inhibits avian influenza A virus H9N2.

Avian influenza (AI) has become a disease of great importance for human and animal health. Beside adverse side effects, there is resistance mutation for about all the conventional drugs that target viral proteins. This study aimed to evaluate antiviral activity of silver nanoparticles combined with epigallocatechingallate (EGCG-AgNPs) and co-administered with zinc sulphate (Zn+2) as alternative treatment strategy to control AI H9N2. EGCG conjugated silver nanoparticles (EGCG-AgNPs) were synthesized. Virus propagation was performed using embryonated Specific-Pathogen-Free (SPF) hen's eggs. Viral EID50 titers were determined before and after treatments. The antiviral activity was determined as Log virucidal reduction. A commercial tetrazolium MTS assay kit was used to determine cytotoxicity. Results showed that 50 µM EGCG was the most significant concentration reduced the logEID50/mL of AI H9N2. Co-treatment with zinc sulphate (1.3 mg/mL) increased the EGCG antiviral effect. The most effective antiviral activity was obtained when combined EGCG-AgNPs with zinc sulphate with the greatest virucidal log reduction. No cytotoxic effect in Vero cells was observed among all of these forms at concentrations of interest used in this study. In conclusion, the topical application of EGCG-AgNPs/ZnSO4 demands additional antiviral strategies against H9N2 AI. This combination may prevent virus transmission, inhibit virus replication within neighboring cells and inhibit microbial resistance by making microbial adaptability very difficult.

Delay to elective colorectal cancer surgery and implications for survival: a systematic review and meta-analysis.

AIM: The Covid-19 pandemic has delayed elective colorectal cancer (CRC) surgery. The aim of this study was to see whether or not this may affect overall survival (OS) and disease-free survival (DFS). METHOD: A systematic review was carried out according to PRISMA guidelines (PROSPERO ID: CRD42020189158). Medline, EMBASE and Scopus were interrogated. Patients aged over 18 years with a diagnosis of colon or rectal cancer who received elective surgery as their primary treatment were included. Delay to elective surgery was defined as the period between CRC diagnosis and the day of surgery. Meta-analysis of the outcomes OS and DFS were conducted. Forest plots, funnel plots and tests of heterogeneity were produced. An estimated number needed to harm (NNH) was calculated for statistically significant pooled hazard ratios (HRs). RESULTS: Of 3753 articles identified, seven met the inclusion criteria. Encompassing 314 560 patients, three of the seven studies showed that a delay to elective resection is associated with poorer OS or DFS. OS was assessed at a 1 month delay, the HR for six datasets was 1.13 (95% CI 1.02-1.26, p = 0.020) and at 3 months the pooled HR for three datasets was 1.57 (95% CI 1.16-2.12, p = 0.004). The estimated NNH for a delay at 1 month and 3 months was 35 and 10 respectively. Delay was nonsignificantly negatively associated with DFS on meta-analysis. CONCLUSION: This review recommends that elective surgery for CRC patients is not postponed longer than 4 weeks, as available evidence suggests extended delays from diagnosis are associated with poorer outcomes. Focused research is essential so patient groups can be prioritized based on risk factors in future delays or pandemics.

Validation of the risk stratification score in idiopathic pulmonary fibrosis: study protocol of a prospective, multi-centre, observational, 3-year clinical trial.

BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is characterized by a poor prognosis, with a progressive decline in lung function and considerable variability in the disease's natural history. Besides lung transplantation (LTx), the only available treatments are anti-fibrosing drugs, which have shown to slow down the disease course. Therefore, predicting the prognosis is of pivotal importance to avoid treatment delays, which may be fatal for patients with a high risk of progression. Previous studies showed that a multi-dimensional approach is practical and effective in the development of a reliable prognostic score for IPF. In the RIsk Stratification scorE (RISE), physiological parameters, an objective measure of patient-reported dyspnea and exercise capacity are combined to capture different domains of the complex pathophysiology of IPF. METHODS: This is an observational, multi-centre, prospective cohort study, designed to reflect common clinical practice in IPF. A development cohort and a validation cohort will be included. Patients newly diagnosed with IPF based on the ATS/ERS criteria and multi-disciplinary discussion will be included in the study. A panel of chest radiologists and lung pathologists will further assess eligibility. At the first visit (time of diagnosis), and every 4-months, MRC dyspnea score, pulmonary function tests (FEV1, FVC and DLCO), and 6-min walking distance will be recorded. Patients will be prospectively followed for 3 years. Comorbidities will be considered. The radiographic extent of fibrosis on HRCT will be recalculated at a 2-year interval. RISE, Gender-Age-Physiology, CPI and Mortality Risk Scoring System will be calculated at 4-month intervals. Longitudinal changes of each variable considered will be assessed. The primary endpoint is 3-year LTx-free survival from the time of diagnosis. Secondary endpoints include several, clinically-relevant information to ensure reproducibility of results across a wide range of disease severity and in concomitance of associated pulmonary hypertension or emphysema. DISCUSSION: The objective of this study is to validate RISE as a simple, straightforward, inexpensive and reproducible tool to guide clinical decision making in IPF, and potentially as an endpoint for future clinical trials. TRIAL REGISTRATION: U.S National Library of Medicine Clinicaltrials.gov, trial n. NCT02632123 "Validation of the risk stratification score in idiopathic pulmonary fibrosis". Date of registration: December 16th, 2015.

A cluster of children with facial nerve palsy in a high prevalence area for COVID-19.

BACKGROUND: COVID-19 is a disease of varying presentation and neurological sequelae of the disease are being studied. Following a cluster of paediatric facial nerve palsy (FNP) cases in an area of South Wales with a high prevalence of COVID-19, we conducted an opportunistic study to determine whether there has been an increase of incidence of FNP and if there is an association between the FNP and COVID-19 in children. METHODS: We performed a retrospective review of the incidence of FNP between 2015 and 2020 across two hospitals within the health board. The incidence was compared with that in 2020 including a cluster of six children in 14 weeks, presenting to Royal Glamorgan Hospital between June and October. RESULTS: There were 48 cases of children with FNP across both hospital within the study years. Seven (7) cases in 2020. The incidence was not statistically different in comparison to other years. Five out of six of these children in 2020 had antibody testing for COVID-19. All serology testing (100%) returned negative for SARS-CoV- 2 antibodies. CONCLUSIONS: In high prevalence area for COVID-19, cases of children with FNP have not shown a commensurate increase. we have found no causal link between COVID-19 and FNP in children. While this is a small study, larger cohort studies are needed to support this finding. As new strains of COVID-19 are being reported in UK, South Africa and Brazil, physicians need to continue to be vigilant for consistent pattern of signs and symptoms, especially in children.

Smartphone-Based Interventions to Reduce Sedentary Behavior and Promote Physical Activity Using Integrated Dynamic Models: Systematic Review.

BACKGROUND: Traditional psychological theories are inadequate to fully leverage the potential of smartphones and improve the effectiveness of physical activity (PA) and sedentary behavior (SB) change interventions. Future interventions need to consider dynamic models taken from other disciplines, such as engineering (eg, control systems). The extent to which such dynamic models have been incorporated in the development of interventions for PA and SB remains unclear. OBJECTIVE: This review aims to quantify the number of studies that have used dynamic models to develop smartphone-based interventions to promote PA and reduce SB, describe their features, and evaluate their effectiveness where possible. METHODS: Databases including PubMed, PsycINFO, IEEE Xplore, Cochrane, and Scopus were searched from inception to May 15, 2019, using terms related to mobile health, dynamic models, SB, and PA. The included studies involved the following: PA or SB interventions involving human adults; either developed or evaluated integrated psychological theory with dynamic theories; used smartphones for the intervention delivery; the interventions were adaptive or just-in-time adaptive; included randomized controlled trials (RCTs), pilot RCTs, quasi-experimental, and pre-post study designs; and were published from 2000 onward. Outcomes included general characteristics, dynamic models, theory or construct integration, and measured SB and PA behaviors. Data were synthesized narratively. There was limited scope for meta-analysis because of the variability in the study results. RESULTS: A total of 1087 publications were screened, with 11 publications describing 8 studies included in the review. All studies targeted PA; 4 also included SB. Social cognitive theory was the major psychological theory upon which the studies were based. Behavioral intervention technology, control systems, computational agent model, exploit-explore strategy, behavioral analytic algorithm, and dynamic decision network were the dynamic models used in the included studies. The effectiveness of quasi-experimental studies involved reduced SB (1 study; P=.08), increased light PA (1 study; P=.002), walking steps (2 studies; P=.06 and P<.001), walking time (1 study; P=.02), moderate-to-vigorous PA (2 studies; P=.08 and P=.81), and nonwalking exercise time (1 study; P=.31). RCT studies showed increased walking steps (1 study; P=.003) and walking time (1 study; P=.06). To measure activity, 5 studies used built-in smartphone sensors (ie, accelerometers), 3 of which used the phone's GPS, and 3 studies used wearable activity trackers. CONCLUSIONS: To our knowledge, this is the first systematic review to report on smartphone-based studies to reduce SB and promote PA with a focus on integrated dynamic models. These findings highlight the scarcity of dynamic model-based smartphone studies to reduce SB or promote PA. The limited number of studies that incorporate these models shows promising findings. Future research is required to assess the effectiveness of dynamic models in promoting PA and reducing SB. TRIAL REGISTRATION: International Prospective Register of Systematic Reviews (PROSPERO) CRD42020139350; https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=139350.

High blood glucose levels are associated with fibrosis/cirrhosis progression in chronic hepatitis C.

Chronic hepatitis C (CHC) leads eventually to liver fibrosis, advanced hepatic disease and related deaths. Therefore, it is very important to assess clinical risk factors associated with rapid CHC and hepatic fibrosis progression. Former studies reported diabetes mellitus synergistic interactions with other host factors to fibrosis progression. Here, we aimed to evaluate the association between elevated blood glucose levels and CHC progression according to METAVIR system in patients chronically infected with HCV-genotype 4 and to evaluate the correlation between elevated glucose levels and liver- and viral-related biochemical parameters. A total of 160 patients with CHC (80 with liver fibrosis and 80 with cirrhosis) and 40 healthy volunteers, negative for HCV, were included. Our results revealed that cirrhotic patients had high (P = .0001) fasting (169.1 ± 50.2 mg/dL), postprandial (208 (123-320) mg/dL), and random (176.8 ± 51 mg/dL) glucose levels compared to patients with liver fibrosis (105.0 ± 32, 120 (105-135), and 113.5 ± 35 mg/dL, respectively). Mean serum fasting, postprandial and random glucose levels were significantly (P = .0001) increased with an increase in fibrosis stages, F1< F2< F3< F4. Blood glucose levels were also significantly (P < .05) correlated with liver disease related biological parameters and HCV-Ab titer. In conclusion, our results highlighted the fibrogenic impact of elevated glucose levels on CHC patients.

mHealth applications to support caregiver needs and engagement during stroke recovery: A content review.

Caregiving in stroke results in severe physical, psychological, and social impacts on the caregiver. Over the past few years, researchers have explored the use of mHealth technologies to support healthcare-related activities due to their ability to provide real-time care at any given place or time. The purpose of this content review is to investigate mHealth apps in supporting stroke caregiving engagement based on three aspects: motivation, value, and satisfaction. We searched app stores and repositories for apps related to stroke caregiving published up to September 2020. Extracted apps were reviewed and filtered using inclusion criteria, and then downloaded onto compatible devices to determine eligibility. Results were compared with evidence-based frameworks to identify the ability of these apps in engaging and supporting the caregiver. Forty-seven apps were included in this review that enabled caregivers to support their needs, such as adjustment to new roles and relationships, involvement in care and caring for oneself using several different functionalities. These functionalities include information resources, risk assessment, remote monitoring, data sharing, reminders and so on. However, no single app was identified that focuses on all aspects of stroke caregiving. We also identified several challenges faced by users through their reviews and the factors associated with value and satisfaction. Our findings can add to the knowledge of existing mHealth technologies and their functionalities to support stroke caregiving needs, and the importance of considering user engagement in the design. They can be used by developers and researchers looking to design better mHealth apps for stroke caregiving.

Artificial Intelligence in Lung Cancer: Bridging the Gap Between Computational Power and Clinical Decision-Making.

Lung cancer remains the most common cause of cancer death worldwide. Recent advances in lung cancer screening, radiotherapy, surgical techniques, and systemic therapy have led to increasing complexity in diagnosis, treatment decision-making, and assessment of recurrence. Artificial intelligence (AI)-based prediction models are being developed to address these issues and may have a future role in screening, diagnosis, treatment selection, and decision-making around salvage therapy. Imaging plays an essential role in all components of lung cancer management and has the potential to play a key role in AI applications. Artificial intelligence has demonstrated value in prognostic biomarker discovery in lung cancer diagnosis, treatment, and response assessment, putting it at the forefront of the next phase of personalized medicine. However, although exploratory studies demonstrate potential utility, there is a need for rigorous validation and standardization before AI can be utilized in clinical decision-making. In this review, we will provide a summary of the current literature implementing AI for outcome prediction in lung cancer. We will describe the anticipated impact of AI on the management of patients with lung cancer and discuss the challenges of clinical implementation of these techniques.

Modulatory effects of swimming exercise against malathion induced neurotoxicity in male and female rats.

Malathion is one of the most commonly used organophosphorus (OP) pesticides. It is important to regard that exposure to OP poisoning may cause anxiety and depression. Malathion toxicity induces cholinergic symptoms. Brain-derived neurotrophic factor (BDNF) is the most profusely expressed neurotrophin in the central nervous system; it promotes the survival of neurons. Regular exercise improves brain well-being and enhances recovery from brain Injuries. It is suggested that BDNF may mediate these effects. Therefore, this study was planned to assess the modulatory effects of regular exercise performance on brain BDNF level, cholinergic activity, oxidative stress and apoptosis in male and female rats subjected to neurotoxicity induced by malathion administration. MATERIALS AND METHODS: Thirty-two adult male and thirty-two adult female albino rats were included in this study. The rats were divided into four equal groups (8rats). Control group, malathion treated group, exercised group, malathion exercised group. Acetylcholinesterase (AchE) activity, total antioxidant capacity (TAC), BDNF level and Caspase 3 activity were assessed. RESULTS: Female rats had higher baseline content of BDNF in brain homogenate than male rats. Malathion administration induced a significant decrease in BDNF level in female rats and in the total antioxidant capacity in both male and female rats. A significant elevation in caspase 3 activity was detected in the malathion treated groups, with more elevation in female rats. Swimming exercise improved BDNF level, AchE activity, and apoptosis in both male and female rats in all groups. In addition, male rats were more cholinergic system responders to regular exercise than female rats. CONCLUSION: It could be concluded that malathion induced elevation in oxidative stress and apoptosis in all rats, with reduction in BDNF level in female rats. Meanwhile, regular swimming exercise was found to improve brain health through modulation of BDNF level and cholinergic activity. It is recommended to practice regular exercise to maintain brain health. Further studies are required to clarify the involvement of sex hormones in BDNF regulation.

Extracellular Matrix Proteins Substantiate IL-28B T allele Effect on Histological Outcome of Chronic Hepatitis C.

INTRODUCTION AND AIM: The correlation between interleukin-28B (IL-28B) polymorphisms and chronic hepatitis C (CHC) progression is debatable. Here, we aimed to evaluate the relation between IL-28B C/T genotypes and the development of cirrhotic liver. Extracellular matrix (ECM) proteins, FibroScan and model for end-stage liver disease (MELD) were used to substantiate the severity of liver disease. MATERIAL AND METHODS: IL-28B rs12979860, liver stiffness and ECM proteins were assessed in 272 CHC patients. RESULTS: Cirrhosis percentage increased to 10%, 52% and 96% with the increasing number of T alleles (CC, CT and TT, respectively). Also, elevated ECM proteins levels were correlated with the increasing number of T alleles. Interestingly, among cirrhotic patients, liver stiffness, MELD and ECM proteins were significantly (P < 0.0001) higher in patients with TT more than CT genotype. FibroScan, hyaluronic acid, Laminin, Collagen IV and the N-terminal pro-peptide of collagen type III have high accuracy to differentiate liver status in CC from TT genotype. Area under receiver-operating characteristic curve (95% CI) were 1.0 (1.0-1.0), 0.97 (0.96- 1.0), 0.93 (0.85-1.0), 0.98 (0.97-1.0) and 0.93 (0.91-0.97), respectively. CONCLUSION: This study suggests that IL-28B T allele affects the natural course of CHC type 4 and also suggests that carriage of the IL-28B C allele protects from unfavorable clinical outcomes in CHC as coexistence of C allele with T allele reduced cirrhosis severity.