Information overload and parental perspectives on information provided to parents/carers of paediatric patients undergoing elective surgical procedures.

When parents are expected to play a significant role in the management of their children's health perioperatively, information overload for parents could have particularly detrimental consequences. Our study investigated information communication and overload in 380 parents of children undergoing any elective surgical procedure at our institution. Participants completed an online questionnaire and were asked to respond to a newly designed Information Overload scale based on a modified 5 item Cancer Information Overload Scale and an 8-item atrial fibrillation information overload scale. Nineteen respondents (5%) identified as Aboriginal or Torres Strait Islander. More than a quarter of respondents (n = 102, 27%) primarily spoke a language other than English at home. 56% of respondents (n = 211) indicated that neither themselves nor any of their children had undergone a similar surgery in the past. Most respondents disagreed or strongly disagreed with the majority of the 5-item Information Overload scale statements. University undergraduates had lower total information overload score on average (-1.63, p = 0.002). People who spoke a language other than English had higher total score on average (0.98, p<0.001). Semi-structured qualitative interviews including the BRIEF health literacy screening tool were conducted with 24 parents. 23 interviewees scored 17-20 points in the BRIEF health literacy screening tool, indicating they were able to read and comprehend patient education materials. Overall, parents were satisfied with the amount of information that they received. Very rarely did any parent complain of 'information overload'. Our results show that parents of children undergoing elective paediatric surgery are not suffering from information overload in general, but they do want more information on immediate and late postoperative recovery.

Trajectory of health-related quality of life during and after hospitalisation due to worsening of heart failure.

PURPOSE: This study aimed to examine the trajectory in health-related quality of life (HRQoL) during and after hospitalisation for worsening of heart failure (HF) in Malaysia. METHODS: 200 patients with heart failure and reduced ejection fraction (HFrEF) admitted into two hospitals in Malaysia due to worsening of HF were surveyed using the EQ-5D-5 L questionnaire. The primary outcomes were utility values at admission, discharge and 1-month post-discharge (1MPD). Secondary outcomes included the visual analogue scores (VAS) and the proportion of patients reporting each EQ-5D-5 L dimension levels. Missing data were imputed using multiple imputation, and generalised linear mixed models were fitted. RESULTS: At admission, the unadjusted mean utility values and VAS scores for HFrEF patients in Malaysia were as low as 0.150 ± 0.393 and 38.2 ± 20.8, respectively. After a median hospital stay of 4 days, there was a significant improvement in utility values and VAS scores by 0.510 (95% CI: 0.455-0.564) and 28.8 (95% CI: 25.5-32.1), respectively. The utility value and VAS score at 1-month post-discharge were not significantly different from discharge. The proportion of HFrEF patients reporting problems and severe problems in mobility, self-care, usual activities, and anxiety/depression, pain/discomfort reduced at varying degree from admission to discharge and 1MPD. CONCLUSION: HF is a progressive condition with substantial variation in HRQoL during the disease trajectory. During hospitalisation due to worsening of HF, HFrEF population has unfavourable HRQoL. Rapid and significant HRQoL improvement was observed at discharge, which sustained over one month. The study findings can inform future cost-effectiveness analyses and policies.

Heart failure is a progressive disease. Health-related quality of life of heart failure patients dynamically changes over time. Upon worsening of symptoms requiring hospital admission, the average level of health-related quality of life among people living with heart failure was low, approximately one-third of their perfect health. From the perspective of general public, this is equivalent to a health state that is near to being dead. Majority of patients had problems in mobility, self-care, usual activities, anxiety/depression and pain/discomfort. After receiving treatments in hospitals, most patients reported less problem in mobility, are able to take care of themselves and perform usual activities, feeling less pain/discomfort, and feeling less anxious/depressed. At discharge, their health state improved significantly by a large amount (equivalent to gaining half a year in perfect health), and this gain was sustained at 1-month post-discharge. This study provides policy makers insights on heart failure patients' disease experiences and quantifies their health-related quality of life during and after hospital admissions based on patients' disease experiences and general public's preference. In this way, both patients and public were involved in the policy-making process.

Inclusion of unexposed clusters improves the precision of fixed effects analysis of stepped-wedge cluster randomized trials with binary and count outcomes.

BACKGROUND: The fixed effects model is a useful alternative to the mixed effects model for analyzing stepped-wedge cluster randomized trials (SW-CRTs). It controls for all time-invariant cluster-level confounders and has proper control of type I error when the number of clusters is small. While all clusters in a SW-CRT are typically designed to crossover from the control to receive the intervention, some trials can end with unexposed clusters (clusters that never receive the intervention), such as when a trial is terminated early due to safety concerns. It was previously unclear whether unexposed clusters would contribute to the estimation of the intervention effect in a fixed effects analysis. However, recent work has demonstrated that including an unexposed cluster can improve the precision of the intervention effect estimator in a fixed effects analysis of SW-CRTs with continuous outcomes. Still, SW-CRTs are commonly designed with binary outcomes and it is unknown if those previous results extend to SW-CRTs with non-continuous outcomes. METHODS: In this article, we mathematically prove that the inclusion of unexposed clusters improves the precision of the fixed effects intervention effect estimator for SW-CRTs with binary and count outcomes. We then explore the benefits of including an unexposed cluster in simulated datasets with binary or count outcomes and a real palliative care data example with binary outcomes. RESULTS: The simulations show that including unexposed clusters leads to tangible improvements in the precision, power, and root mean square error of the intervention effect estimator. The inclusion of the unexposed cluster in the SW-CRT of a novel palliative care intervention with binary outcomes yielded smaller standard errors and narrower 95% Wald Confidence Intervals. CONCLUSIONS: In this article, we demonstrate that the inclusion of unexposed clusters in the fixed effects analysis can lead to the improvements in precision, power, and RMSE of the fixed effects intervention effect estimator for SW-CRTs with binary or count outcomes.

The fixed-effects model for robust analysis of stepped-wedge cluster trials with a small number of clusters and continuous outcomes: a simulation study.

BACKGROUND: Stepped-wedge cluster trials (SW-CTs) describe a cluster trial design where treatment rollout is staggered over the course of the trial. Clusters are commonly randomized to receive treatment beginning at different time points in this study design (commonly referred to as a Stepped-wedge cluster randomized trial; SW-CRT), but they can also be non-randomized. Trials with this design regularly have a low number of clusters and can be vulnerable to covariate imbalance. To address such covariate imbalance, previous work has examined covariate-constrained randomization and analysis adjustment for imbalanced covariates in mixed-effects models. These methods require the imbalanced covariate to always be known and measured. In contrast, the fixed-effects model automatically adjusts for all imbalanced time-invariant covariates, both measured and unmeasured, and has been implicated to have proper type I error control in SW-CTs with a small number of clusters and binary outcomes. METHODS: We present a simulation study comparing the performance of the fixed-effects model against the mixed-effects model in randomized and non-randomized SW-CTs with small numbers of clusters and continuous outcomes. Additionally, we compare these models in scenarios with cluster-level covariate imbalances or confounding. RESULTS: We found that the mixed-effects model can have low coverage probabilities and inflated type I error rates in SW-CTs with continuous outcomes, especially with a small number of clusters or when the ICC is low. Furthermore, mixed-effects models with a Satterthwaite or Kenward-Roger small sample correction can still result in inflated or overly conservative type I error rates, respectively. In contrast, the fixed-effects model consistently produced the target level of coverage probability and type I error rates without dramatically compromising power. Furthermore, the fixed-effects model was able to automatically account for all time-invariant cluster-level covariate imbalances and confounding to robustly yield unbiased estimates. CONCLUSIONS: We recommend the fixed-effects model for robust analysis of SW-CTs with a small number of clusters and continuous outcomes, due to its proper type I error control and ability to automatically adjust for all potential imbalanced time-invariant cluster-level covariates and confounders.

Remote Monitoring and Virtual Appointments for the Assessment and Management of Depression via the Co-HIVE Model of Care: A Qualitative Descriptive Study of Patient Experiences.

Objective: This qualitative study sought to explore patient experiences with technologies used in the Community Health in a Virtual Environment (Co-HIVE) pilot trial. Technology is becoming increasingly prevalent in mental healthcare, and user acceptance is critical for successful adoption and therefore clinical impact. The Co-HIVE pilot trialled a model of care whereby community-dwelling patients with symptoms of depression utilised virtual appointments and remote monitoring for the assessment and management of their condition, as an adjunct to routine care. Methods: Using a qualitative descriptive design, participants for this study were patients with symptoms of moderate to severe depression (based on the 9-item Patient Health Questionnaire, PHQ-9), who had completed the Co-HIVE pilot. Data was collected via semi-structured interviews that were audio-recorded, transcribed clean-verbatim, and thematically analysed using the Framework Method. Results: Ten participants completed the semi-structured interviews. Participants reported experiencing more personalised care, improved health knowledge and understanding, and greater self-care, enabled by the remote monitoring technology. Additionally, participants reported virtual appointments supported the clinician-patient relationship and improved access to mental health services. Conclusions: This experience of participants with the Co-HIVE pilot indicates there is a degree of acceptance of health technologies for use with community mental healthcare. This acceptance demonstrates opportunities to innovate existing mental health services by leveraging technology.

Outcomes with Management of Cholesteatoma.

This article provides an expert summary of the immense amount of outcomes research in cholesteatoma surgery. Specific topics discussed include canal wall-up versus canal wall-down surgery, ossicular chain reconstruction, endoscopic ear surgery, disease-specific quality-of-life outcomes, and congenital cholesteatoma.

How I Do It: Using ChatGPT to Create Clinical Scenarios for Surgical Learning and Oral Boards Preparation.

OBJECTIVE: To evaluate the use of the large language model ChatGPT to simulate an oral surgical boards examination environment. DESIGN: ChatGPT was asked to create oral surgical boards questions based on a series of clinical scenarios. RESULTS: ChatGPT created clinically relevant oral board-type questions. ChatGPT provided pertinent follow-up questions after the user's response as would occur in an oral examination as well as feedback regarding the user's response. CONCLUSIONS: Chat GPT can simulate an oral boards-style examination of a surgical trainee with a reasonable degree of clinical detail and immediate feedback. It may be a useful as a curricular tool and for self-education and board preparation.

Exoskeletal-Assisted Walking in Veterans With Paralysis: A Randomized Clinical Trial.

Importance: Robotic exoskeletons leverage technology that assists people with spinal cord injury (SCI) to walk. The efficacy of home and community exoskeletal use has not been studied in a randomized clinical trial (RCT). Objective: To examine whether use of a wheelchair plus an exoskeleton compared with use of only a wheelchair led to clinically meaningful net improvements in patient-reported outcomes for mental and physical health. Design, Setting, and Participants: This RCT of veterans with SCI was conducted at 15 Veterans Affairs medical centers in the US from September 6, 2016, to September 27, 2021. Data analysis was performed from March 10, 2022, to June 20, 2024. Interventions: Participants were randomized (1:1) to standard of care (SOC) wheelchair use or SOC plus at-will use of a US Food and Drug Administration (FDA)-cleared exoskeletal-assisted walking (EAW) device for 4 months in the home and community. Main Outcomes and Measures: Two primary outcomes were studied: 4.0-point or greater improvement in the mental component summary score on the Veterans RAND 36-Item Health Survey (MCS/VR-36) and 10% improvement in the total T score of the Spinal Cord Injury-Quality of Life (SCI-QOL) physical and medical health domain and reported as the proportion who achieved clinically meaningful changes. The primary outcomes were measured at baseline, post randomization after advanced EAW training sessions, and at 2 months and 4 months (primary end point) in the intervention period. Device usage, reasons for not using, and adverse events were collected. Results: A total of 161 veterans with SCI were randomized to the EAW (n = 78) or SOC (n = 83) group; 151 (94%) were male, the median age was 47 (IQR, 35-56) years, and median time since SCI was 7.3 (IQR, 0.5 to 46.5) years. The difference in proportion of successes between the EAW and SOC groups on the MCS/VR-36 (12 of 78 [15.4%] vs 14 of 83 [16.9%]; relative risk, 0.91; 95% CI, 0.45-1.85) and SCI-QOL physical and medical health domain (10 of 78 [12.8%] vs 11 of 83 [13.3%]; relative risk, 0.97; 95% CI, 0.44-2.15) was not statistically different. Device use was lower than expected (mean [SD] distance, 1.53 [0.02] miles per month), primarily due to the FDA-mandated companion being unavailable 43.9% of the time (177 of 403 instances). Two EAW-related foot fractures and 9 unrelated fractures (mostly during wheelchair transfers) were reported. Conclusions and Relevance: In this RCT of veterans with SCI, the lack of improved outcomes with EAW device use may have been related to the relatively low device usage. Solutions for companion requirements and user-friendly technological adaptations should be considered for improved personal use of these devices. Trial Registration: ClinicalTrials.gov Identifier: NCT02658656.

Impact of Neoadjuvant Therapy on Oncological Outcomes of Patients With Distal Pancreatic Adenocarcinoma.

BACKGROUND: Distal pancreatic ductal adenocarcinoma (D-PDAC) often presents at an advanced stage. The efficacy of neoadjuvant therapy (NAT) in improving outcomes for D-PDAC is not well-established. This study evaluates the impact of NAT on the oncological outcomes of patients with D-PDAC. METHODS: A retrospective cohort study of consecutive patients with resectable and borderline-resectable D-PDAC treated at a single center from 2012 to 2020 was performed. Stratification was based on initial treatment-NAT or surgery first (SF). Survival analysis, following intention-to-treat framework, used Kaplan-Meier and Cox regression to assess NAT's impact on progression-free survival (PFS) and overall survival (OS) of D-PDAC. RESULTS: Among 141 patients (median age 69.8 years, 51.8% females) included in the study, 71 (50.4%) received NAT and 70 (49.6%) were planned for SF. Patients receiving NAT were younger (65.9 vs. 72.6 years) and had higher incidence of borderline-resectable disease (31% vs. 4.3%) (both p < 0.05) than those undergoing SF. Thirteen patients (18.3%) undergoing NAT and five (7.1%) in SF group, failed to undergo resection. Univariate comparison showed no difference in the PFS (SF:13.97 vs. NAT:17.00 months, p = 0.6), and OS (SF:23.73 vs. NAT:32.53 months, p = 0.35). Multivariate Cox regression analysis noted significantly improved PFS (HR = 0.64, 95%CI = 0.42-0.96, p = 0.031) and OS (HR = 0.60, 95%CI = 0.39-0.93, p = 0.021) with NAT. CONCLUSION: NAT is associated with improved PFS and OS in patients with -D-PDAC. Further randomized controlled trials are warranted to confirm these findings.

Ibrutinib plus rituximab and mini-CHOP in older patients with newly diagnosed DLBCL: a phase 2 ALLG study.

ABSTRACT: The multicenter, prospective phase 2 Australasian Leukaemia & Lymphoma Group NHL29 trial was conducted to assess the addition of ibrutinib to R-mini-CHOP (dose attenuated R-CHOP; rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone) in patients aged ≥75 years with newly diagnosed diffuse large B-cell lymphoma (DLBCL). Treatment consisted of six 21-day cycles of ibrutinib-R-mini-CHOP followed by two 21-day cycles of R-ibrutinib. Coprimary end points were deliverability and 2-year overall survival (OS). The median average relative total dose and average relative dose intensity for the entire regimen were both 97% (interquartile range, 82-100 and 88-100, respectively). With a median follow-up of 35.5 months, the 2-year OS was 68% (95% confidence interval [CI], 55.6-77.4) with a 2-year progression-free survival (PFS) of 60.0% (95% CI, 47.7-70.3). Median OS and PFS were 72 months (95% CI, 35 to not reached) and 40 months (95% CI, 20.4 to not reached), respectively. The overall response rate was 76% (61/79) of patients, with a complete response rate of 71% (56/79). Deaths occurred in 34 of 79 patients (43%), including 17 from progressive disease and 5 treatment related. Overall, 67% patients experienced at least 1 serious adverse event. Most common adverse events were infections and diarrhea (the majority grade 1-2). In both health-related quality of life measures, there was an improvement in functional and symptom scales, median health state classification score, and median visual analogue scale in responders over time. In conclusion, this study showed that the addition of ibrutinib to R-mini-CHOP was both deliverable and efficacious in elderly DLBCL patients.

The effect of deprescribing interventions on mortality and health outcomes in older people: An updated systematic review and meta-analysis.

AIMS: Previous systematic reviews suggest that deprescribing may improve survival, particularly in frail older people. Evidence is rapidly accumulating, suggesting a need for an updated review of the literature. METHODS: We updated a 2016 systematic review and meta-analysis to include studies published from inception to 26 April 2024 from specified databases. Studies in which older people had at least one medication deprescribed were included and grouped by study designs and targeted medications. The risk of bias was assessed using the Cochrane tool and the Newcastle-Ottawa tool. Odds ratios (OR) or mean differences were calculated as the effect measures using either the Mantel-Haenszel or generic inverse-variance method with fixed- or random-effects meta-analyses. The primary outcome was mortality. Secondary outcomes were adverse drug withdrawal events, physical health, cognitive function, quality of life and effect on medication regimen. Subgroup analyses were performed based on age and intervention types. RESULTS: A total of 259 studies (reported in 286 papers) were included in this updated review. Deprescribing polypharmacy did not result in a significant reduction in mortality in both randomized (OR 0.96, 95% confidence interval [CI] 0.84-1.09) and non-randomized studies (OR 0.70, 95% CI 0.36-1.38). Further subgroup analyses of randomized studies on deprescribing polypharmacy demonstrated a significant reduction in mortality in the young old (aged 65-79) (OR 0.71, 95% CI 0.51-0.99) and when patient-specific interventions were applied (OR 0.79, 95% CI 0.63-0.99). CONCLUSIONS: Deprescribing can be achieved with potentially important benefits in terms of improved survival, particularly when patient-specific interventions are applied and initiated early in the young old.

Identifying and Quantifying Relative Concentrations of Epimers in Mixtures via Cyclic Ion Mobility Mass Spectrometry: Dexamethasone and Betamethasone as a Case Study.

Epimers can show different biological activities and different pharmacological behaviors; therefore, their separation and analysis are crucial in the drug development process. Due to their similar chemical and physical properties, separation of epimers is challenging. This study demonstrates the application of cyclic ion mobility-mass spectrometry to separate, identify, and quantify dexamethasone and betamethasone in a binary mixture. Cyclic IMS separation of the isolated protonated dimer resulted in three peaks: dexamethasone homodimer, betamethasone homodimer, and their heterodimer. Besides providing improved separation over the protonated monomer, the presence of a heterodimer peak provides additional confirmation of an isomeric mixture. We identified the dexamethasone and betamethasone homodimer peaks by infusing pure solutions of each epimer and measuring each pure homodimer's arrival time. The measured peak areas indicated that the heterodimer is formed at twice the rate of each homodimer and that dexamethasone and betamethasone contribute equally to the heterodimer signal. Using this observation, we could accurately calculate the relative concentrations of each epimer by adding half of the heterodimer peak area to each homodimer peak area. These findings enable the identification and quantification of dexamethasone and betamethasone based on the arrival time distributions of their protonated dimers. This is the first demonstration of accurate relative quantification of epimers by separating charged dimers in the gas phase.

Dynamic Assessment of Drain Fluid Amylase Estimates the Risk of CR-POPF Following Pancreatoduodenectomy.

OBJECTIVE: To evaluate whether drain fluid amylase levels on day-1 (DFA1) and day-3 (DFA3) can reliably estimate the risk of clinically relevant-postoperative pancreatic fistula (CR-POPF) following pancreatoduodenectomy (PD) compared to either value alone or in combination with clinicopathologic variables. BACKGROUND: CR-POPF is a major source of morbidity and mortality following PD. Current drain management algorithms are variable and are mostly dependent on DFA1, while the DFA3 is seldom utilized to guide clinical decision making. METHODS: Between 2015-2020, patients who underwent PD at two high-volume pancreas centers and had intraoperative drain placement with measurement of DFA1 and DFA3 were retrospectively reviewed. Models to predict CR-POPF were constructed using DFA1, DFA3, fistula risk score (FRS) and other patient or treatment-related parameters. The fittest and more parsimonious model was used to construct a CR-POPF risk calculator. RESULTS: Nine-hundred-twenty-three patients were included in the analysis. The FRS was high in 100(10.9%), intermediate in 524(57.3%), low in 211(23.1%) and negligible in 79(8.6%) patients. The overall rate of CR-POPF was 9.2%. Five logistic regression models were constructed using variables known to be implicated in CR-POPF. A model based solely on DFA1 and DFA3 with a cross-validated area under the curve of 0.846 was selected. A calculator using DFA1 and DFA3 was created based on this model to estimate the risk of CR-POPF. CONCLUSIONS: Risk of CR-POPF following pancreatoduodenectomy can be accurately estimated based on measurement of DFA1 and DFA3. Our CR-POPF kinetics calculator can facilitate postoperative risk stratification and guide drain management algorithms.

MSKI-RADS: An MRI-based Musculoskeletal Infection Reporting and Data System for the Diagnosis of Extremity Infections.

Background Current terms used to describe the MRI findings for musculoskeletal infections are nonspecific and inconsistent. Purpose To develop and validate an MRI-based musculoskeletal infection classification and scoring system. Materials and Methods In this retrospective cross-sectional internal validation study, a Musculoskeletal Infection Reporting and Data System (MSKI-RADS) was designed. Adult patients with radiographs and MRI scans of suspected extremity infections with a known reference standard obtained between June 2015 and May 2019 were included. The scoring categories were as follows: 0, incomplete imaging; I, negative for infection; II, superficial soft-tissue infection; III, deeper soft-tissue infection; IV, possible osteomyelitis (OM); V, highly suggestive of OM and/or septic arthritis; VI, known OM; and NOS (not otherwise specified), nonspecific bone lesions. Interreader agreement for 20 radiologists from 13 institutions (intraclass correlation coefficient [ICC]) and true-positive rates of MSKI-RADS were calculated and the accuracy of final diagnoses rendered by the readers was compared using generalized estimating equations for clustered data. Results Among paired radiographs and MRI scans from 208 patients (133 male, 75 female; mean age, 55 years ± 13 [SD]), 20 were category I; 34, II; 35, III; 30, IV; 35, V; 18, VI; and 36, NOS. Moderate interreader agreement was observed among the 20 readers (ICC, 0.70; 95% CI: 0.66, 0.75). There was no evidence of correlation between reader experience and overall accuracy (P = .94). The highest true-positive rate was for MSKI-RADS I and NOS at 88.7% (95% CI: 84.6, 91.7). The true-positive rate was 73% (95% CI: 63, 80) for MSKI-RADS V. Overall reader accuracy using MSKI-RADS across all patients was 65% ± 5, higher than final reader diagnoses at 55% ± 7 (P < .001). Conclusion MSKI-RADS is a valid system for standardized terminology and recommended management of imaging findings of peripheral extremity infections across various musculoskeletal-fellowship-trained reader experience levels. © RSNA, 2024 Supplemental material is available for this article. See also the editorial by Schweitzer in this issue.

Anticholinergic burden and health-related quality of life among adult patients in a resource-limited setting: a cross-sectional study.

BACKGROUND: Anticholinergic medications are now widely acknowledged for their unfavorable risk-to-benefit profile owing to their adverse effects. Health-related quality of life (HRQoL) is commonly regarded as a crucial person-centered outcome. AIM: This study aimed to investigate the association between anticholinergic burden and HRQoL in hospitalized and ambulatory patients seen in Ethiopia. METHOD: This cross-sectional study utilized a questionnaire and medical records to collect data from a convenience sample of adult patients attending both inpatient wards and ambulatory clinic of University of Gondar Comprehensive Specialized Hospital between April and September 2022. Anticholinergic burden was measured by anticholinergic cognitive burdens scale (ACBS), while HRQoL was measured using EQ5D-index (Euroqol-5 dimensions-5-Levels index) and EQ5D-VAS (visual analogue scale). Linear regression was used to assess the influence of high anticholinergic burden (ACBS score ≥ 3) on EQ5D-index and EQ5D-VAS, with adjustments made for sociodemographic and clinical confounders. RESULTS: A total of 828 patients participated in this study (median (IQR) age was 45.0 (30, 60) and 55.9% were female). On multiple linear regression analysis, high anticholinergic burden was associated with a statistically significant decline in HRQoL, as evidenced by reductions in both EQ5D index (- 0.174 (- 0.250, - 0.098)) and EQ5D-VAS scores (- 9.4 (- 13.3, - 5.2)). CONCLUSION: A significant association between high anticholinergic burden and diminished HRQoL was found among a relatively younger cohort in a resource-limited setting, even after adjustment for important confounding variables. Clinicians should be cognizant of the cumulative impact of anticholinergic burden on HRQoL outcomes and strive to minimize anticholinergic burden.

Relationships between quantitative magnetic resonance imaging measures at the time of return to sport and clinical outcomes following acute hamstring strain injury.

Hamstring strain injuries (HSI) are a common occurrence in athletics and complicated by high rates of reinjury. Evidence of remaining injury observed on magnetic resonance imaging (MRI) at the time of return to sport (RTS) may be associated with strength deficits and prognostic for reinjury, however, conventional imaging has failed to establish a relationship. Quantitative measure of muscle microstructure using diffusion tensor imaging (DTI) may hold potential for assessing a possible association between injury-related structural changes and clinical outcomes. The purpose of this study was to determine the association of RTS MRI-based quantitative measures, such as edema volume, muscle volume, and DTI metrics, with clinical outcomes (i.e., strength and reinjury) following HSI. Spearman's correlations and Firth logistic regressions were used to determine relationships in between-limb imaging measures and between-limb eccentric strength and reinjury status, respectively. Twenty injuries were observed, with four reinjuries. At the time of RTS, between-limb differences in eccentric hamstring strength were significantly associated with principal effective diffusivity eigenvalue λ1 (r = -0.64, p = 0.003) and marginally associated with mean diffusivity (r = -0.46, p = 0.056). Significant relationships between other MRI-based measures of morphology and eccentric strength were not detected, as well as between any MRI-based measure and reinjury status. In conclusion, this preliminary evidence indicates DTI may track differences in hamstring muscle microstructure, not captured by conventional imaging at the whole muscle level, that relate to eccentric strength.

Anticholinergic burden among in-patients: a cross-sectional study on prevalence, determinants, and impact on mortality in Ethiopia.

Background: Numerous studies report that anticholinergic burden (ACB) has been linked with several health consequences, including increased hospital admissions, prolonged hospitalization, and physical and cognitive impairment. However, low- and middle-income settings, as well as younger individuals, are underrepresented. Objectives: To assess the prevalence and determinants of ACB, and to assess the impact of ACB on in-hospital mortality among adult in-patients at University of Gondar Comprehensive Specialized Hospital (UOGCSH). Design: A cross-sectional study was conducted from June to August 2022 at UOGCSH among adult in-patients. Methods: A pre-tested questionnaire was utilized to collect data from patients and their corresponding medical charts. A consecutive sampling technique was used to select the participants. Descriptive statistics were used to summarize socio-demographic and clinical characteristics. Chi-squared, Fisher's exact, and Wilcoxon rank sum tests, as appropriate, were used to determine associations between independent variables and ACB. Kaplan-Meier survival curve and Cox proportional hazards regression test were used to assess the impact of ACB on in-hospital mortality. Results: A total of 420 adult in-patients, median (interquartile range) age of 38 (26, 55) years, participated in this study. Over half (58.3%) were exposed to anticholinergic medicines, with a high ACB (⩾3) seen in 11.2% of participants. High ACB was associated with higher median number of medicines per patient (p = 0.003) higher median hospital length of stay (p = 0.033), and having mental and behavioral disorders (p < 0.001). No significant association was found between ACB and in-hospital mortality (log-rank test p = 0.26, Cox regression adjusted hazard ratio: 1.47, 95% CI: 0.335-6.453, p = 0.61). Conclusion: Among adult in-patients, a significant majority (58.3%) were subjected to medications possessing anticholinergic properties, with a noteworthy 11.2% of the study subjects exhibiting a high ACB. Participants with higher median length of hospital stay were more likely to have high ACB even in this relatively younger adult patient population.

Background: Anticholinergics refers to substances that block the action of the neurotransmitter acetylcholine in the body. Previous studies have shown that medicines exhibiting anticholinergic effects could lead to increased hospital admissions, longer hospital stays, and both physical and cognitive impairments. Objective: In this study, we aimed to assess how medicines exhibiting anticholinergic effects might affect patients in Ethiopian in-patient settings. Methods: We conducted a cross-sectional study from June to August 2022, collecting data from adult in-patients through a questionnaire and medical charts. We used a widely recognized tool called Anticholinergic Cognitive Burden Score to measure anticholinergic burden. We used statistical analyses to identify associations between the use of anticholinergic medicines and various factors, including the number of medicines per patient and the length of hospital stay. Additionally, we explored the impact of anticholinergic burden on in-hospital mortality. Results: Out of the 420 participants, 245 were exposed to medicines with anticholinergic properties. High anticholinergic burden was observed in 47 patients. Patients with mental and behavioral disorders were more likely to have high anticholinergic burden, while those with diseases of the digestive system were less likely. Moreover, a high anticholinergic burden was linked to a greater median number of medicines per patient and an extended median hospital length of stay. However, the study found no significant difference in in-hospital mortality between patients with high and low anticholinergic burden. Conclusion: The study highlights that a significant proportion of the participants were exposed to medicines with anticholinergic properties, and a notable percentage experienced a high anticholinergic burden. This burden was particularly associated with mental and behavioral disorders, the use of higher number of medicines, and longer hospital stay. Importantly, the research did not find a clear link between anticholinergic burden and in-hospital mortality after accounting for other factors.

Understanding the impact of medicines with anticholinergic properties on patients at University of Gondar Hospital.

Boosting the Sensitivity of Quantitative Single-Cell Proteomics with Infrared-Tandem Mass Tags.

Single-cell proteomics is a powerful approach to precisely profile protein landscapes within individual cells toward a comprehensive understanding of proteomic functions and tissue and cellular states. The inherent challenges associated with limited starting material demand heightened analytical sensitivity. Just as advances in sample preparation maximize the amount of material that makes it from the cell to the mass spectrometer, we strive to maximize the number of ions that make it from ion source to the detector. In isobaric tagging experiments, limited reporter ion generation limits quantitative accuracy and precision. The combination of infrared photoactivation and ion parking circumvents the m/z dependence inherent in HCD, maximizing reporter generation and avoiding unintended degradation of TMT reporter molecules in infrared-tandem mass tags (IR-TMT). The method was applied to single-cell human proteomes using 18-plex TMTpro, resulting in 4-5-fold increases in reporter signal compared to conventional SPS-MS3 approaches. IR-TMT enables faster duty cycles, higher throughput, and increased peptide identification and quantification. Comparative experiments showcase 4-5-fold lower injection times for IR-TMT, providing superior sensitivity without compromising accuracy. In all, IR-TMT enhances the dynamic range of proteomic experiments and is compatible with gas-phase fractionation and real-time searching, promising increased gains in the study of cellular heterogeneity.

Current Issues With Pediatric Cochlear Implantation.

Cochlear implants (CIs) have demonstrated a clear functional benefit in children with severe-to-profound sensorineural hearing loss (SNHL) and thus have gained wide acceptance for treating deafness in the pediatric population. When evaluating young children for cochlear implantation, there are unique considerations beyond the standard issues addressed during surgery in adults. Because of advances in genetic testing, imaging resolution, CI technology, post-implant rehabilitation, and other factors, issues related to CI surgery in children continue to evolve. Such factors have led to changes in candidacy guidelines, vaccine requirements, and lowering of age requirement for surgery. In addition, differences in the anatomy and physiology of infants require special attention to ensure safety when operating on young children. This review summarizes these issues and provides guidance for surgeons treating children with SNHL.

Managing deepsea oil spills through a systematic modeling approach.

Offshore oil exploration and production in deepwater are associated with environmental risks to marine ecosystems. This research introduces DWOSM (Deep Water Oil Spill Model), a three-dimensional Lagrangian model, which is developed to simulate the transport and fate of oil spills resulting from subsea blowouts. DWOSM comprises three interconnected modules: DWOSM-DSD, which predicts the oil droplet size distribution from a blowout release; DWOSM-NearField, simulating plume dynamics and tracking oil droplets within the plume region; and DWOSM-FarField, modeling the evolution of dispersed oil beyond the near-field. Compared to other oil spill models, this integrated approach improves the transition between near and far fields using a near-field particle tracking algorithm. It also employs the thermodynamic models to enable the prediction of oil properties under varying deep water pressure and temperature. To gauge the reliability and efficacy of DWOSM, a hypothetical case situated within a North American context is employed for model testing. The DWOSM and its each module are juxtaposed with other established oil spill models. The outcomes indicate that DWOSM yields comparable results to these models by providing reasonable predictions of a deepwater blowout. The model's verification through case scenario testing and comparison underscores its potential as a decision tool for assessing and managing the potential environmental impacts of offshore petroleum activities.