Organization of conceptual tool knowledge following left and right brain lesions: Evidence from neuropsychological dissociations and multivariate disconnectome symptom mapping.

The aim of this work was to better understand the organization of conceptual tool knowledge following stroke. We explored specifically the link between manipulation kinematics and manipulation hand posture; and the link between manipulation kinematics and function relations in left brain-damaged (n = 30) and right brain-damaged (n = 30) patients. We examined the performance of brain-damaged patients in conceptual tool tasks using neuropsychological dissociations and disconnectome symptom mapping. Our results suggest that manipulation kinematics is more impaired than function relations, following left or right brain lesions. We also observed that manipulation kinematics and manipulation hand posture are dissociable dimensions but are still highly interrelated, particularly in left brain-damaged patients. We also found that the corpus callosum and bilateral superior longitudinal fasciculus are involved in action and semantic tool knowledge following left brain lesions. Our results provide evidence that the right hemisphere contains conceptual tool representations. Further studies are needed to better understand the mechanisms supporting the cognitive recovery of conceptual tool knowledge. An emerging hypothesis is that the right hemisphere may support functional recovery through interhemispheric transfer following a left hemisphere stroke.

Development of a computer-based tool to obtain a family health history in Vietnam.

Background: Family health history (FHH) is central to human genomic profiling construction; however, there is no protocol for documenting FHH in a pedigree format in Vietnam.Aim: A "Gia Su Suc Khoe" (GSSK) tool was developed to create a user-friendly interface for collecting FHH and offering diseases' risk assessment.Results: A tool was described (https://giasusuckhoe.vn/) with good feedback from genetic counselors and family-medicine doctors. Among 20 surveys, 100% of respondents noted that the report accurately reflected their FHH and were satisfied with the tool's display. About 74% of familial conditions were covered. Overall, all constructive feedback has been adapted into the updated version.Conclusion: Gia Su Suc Khoe has the potential to significantly improve healthcare delivery and outcomes in Vietnam.

[Box: see text].

Can assessment of human assumed central sensitisation improve the predictive accuracy of the STarT Back screening tool in acute low back pain?

BACKGROUND: The STarT Back Screening Tool (SBT) is recommended to provide risk-stratified care in low back pain (LBP), yet its predictive value is moderate for disability and low for pain severity. Assessment of human assumed central sensitisation (HACS) in conjunction with the SBT may improve its predictive accuracy. OBJECTIVES: To examine whether assessment of HACS in acute LBP improves the predictive accuracy of the SBT for LBP recovery at six months in people with acute non-specific LBP. DESIGN: A prospective longitudinal study. METHOD: Data were drawn from the UPWaRD study. One hundred and twenty people with acute non-specific LBP were recruited from the community. Baseline measures included SBT risk status, nociceptive flexor withdrawal reflex, pressure and heat pain thresholds and conditioned pain modulation. Primary outcome was the presence of LBP (pain numeric rating scale ≥1 and Roland Morris Disability Questionnaire score ≥3) at six-month follow-up. Regression coefficients were penalised using the least absolute shrinkage and selection operator technique to select predictor variables. Internal validation was performed using ten-fold cross-validation. RESULTS/FINDINGS: SBT risk status alone did not predict the presence of LBP at six months (area under receiver operating characteristic curve [AUC] = 0.58). Adding measures of HACS to the SBT did not improve discrimination for whether LBP was present at six months (AUC = 0.59). CONCLUSIONS: This study confirmed the suboptimal predictive accuracy of the SBT, administered during acute LBP, for LBP recovery at six months. Assessment of HACS in acute LBP does not improve the predictive accuracy of the SBT.

A systematic literature review of the measurement of patient-reported fatigue in studies of disease modifying therapies for multiple sclerosis.

BACKGROUND: Fatigue is the most commonly experienced symptom among people with multiple sclerosis (MS) and has the greatest impact in reducing quality of life. It is important to measure change in MS-related fatigue (MS-fatigue) in response to treatment, particularly the more recent disease modifying therapies (DMTs). To date there has been no systematic literature review of the patient reported outcome (PRO) tools used to measure MS- fatigue specifically in the context of DMTs. METHODS: MEDLINE, Embase and Clinicaltrials.gov were searched from 01 January 2000 to 13 April 2021 to identify published studies of the treatment of MS with DMTs. Studies where MS-fatigue was measured as an outcome using a PRO tool were included in the review. Further literature searches were undertaken to provide information about the development and validation of each PRO tool. RESULTS: 739 abstracts and 96 clinical trials were manually screened resulting in 68 articles for full text screening. 48 studies were identified for the review; 10 of these were RCTs that considered MS-fatigue as a secondary outcome (4 were Phase 3 trials). The PRO instruments used in the 10 RCTs were the Fatigue Scale for Motor and Cognitive Functions, Fatigue Impact Scale, Modified Fatigue Impact Scale, Fatigue Severity Scale, and Fatigue Symptoms and Impacts Questionnaire - Relapsing Multiple Sclerosis. The other 38 studies were all open-label, longitudinal, non-randomized studies and used the following PRO instruments in addition to those listed above: the Visual Analogue Scale for Fatigue, the Fatigue Descriptive Scale, Modified Fatigue Impact Scale (5 items) and the Würzburger Fatigue Inventory for MS. All these PRO tools were specifically developed for MS-fatigue. Of these 9 PRO tools, 7 were of good methodological quality according to the existing validation studies using the Consensus-based standards for the selection of health measurement instruments (COSMIN) check list and were used in the majority of the MS DMT studies (44/48, 92%). The median follow-up time from baseline to PRO measurement was 12 months (range 1-36 months). Most studies reported on MS fatigue in terms of its change from baseline and whether the change was statistically significant. 5 studies also reported what they considered to be a clinically meaningful difference. CONCLUSIONS: Although fatigue has the greatest impact on quality of life in people with MS, few studies have rigorously investigated the impact of DMTs on fatigue. Comparisons between study outcomes using different PRO tools is challenging due to the variety of psychometric constructs addressed by the questionnaires and differences in the recall period for fatigue symptoms and the measurement scale. Furthermore most of the PRO tools used to quantify MS-fatigue in studies of DMTs are descended from PRO tools developed during the 1990s before DMTs emerged and before widespread patient involvement in PRO development. New PRO tools should involve patients in their development as recommended by the US Food and Drug Administration and the validation process should consider the sensitivity of the PRO tool to change in fatigue over time or between groups.

Collaborative robot acting as scrub nurse for cataract surgery (CRASCS).

Worldwide, healthcare systems are struggling to tackle a nursing shortage. As per the data released by the American Hospital Association, the healthcare workforce could face a loss of around 5 lakh nurses by the end of the year. Consequently, it could result in those deficiencies, which will be 1.1 million instead of 0.6 million. The current nursing scenario in India as per the Indian Nursing Council (INC), which is a board under the ministry and is responsible for legally confirming and maintaining universal standardized training for nursing, is that the 1.96 nurses out of every 1000 Indians that are there are much behind the World Health Organization's (WHO) recommended figure of 3 nurses per 1000. To mitigate the nurse shortage, a collaborative robotic system was designed that can assist with surgical procedures with a collaborative robot acting as a scrub nurse for cataract surgery (CRASCS) represented in Fig. 1. Accordingly, the model has been built to empower a customized 3d printed 5-Degree of freedom robotic arm by tracking the phase of surgery in real-time and automatically supplying the clinician with the ideal equipment that is needed for the particular phase of surgery. The system is supported with one more model which can identify where the surgical equipment is located within the arm range. The system is also supported with voice commands which help in picking up the right surgical equipment in the middle of any phase of the surgery. In this way, the system could be able to potentially handle the shortage of surgical nurses around the world and benefit humanity.

Decoding the genomic enigma: Approaches to studying extrachromosomal circular DNA.

Extrachromosomal circular DNA (eccDNA), a pervasive yet enigmatic component of the eukaryotic genome, exists autonomously from its chromosomal counterparts. Ubiquitous in eukaryotes, eccDNA plays a critical role in the orchestration of cellular processes and the etiology of diseases, particularly cancers. However, the full scope of its influence on health and disease remains elusive, presenting a rich vein of research yet to be mined. Unraveling the complexities of eccDNA necessitates a distillation of methodologies - from biogenesis to functional analysis - a landscape we overview in this study with precision and clarity. Here, we systematically outline cutting-edge methodologies from high-throughput sequencing and bioinformatics to experimental validations, showcasing the intricate world of eccDNAs. We combed through a treasure trove of auxiliary research resources and analytical tools. Moreover, we chart a course for future inquiry, illuminating the horizon with potential groundbreaking strategies for designing eccDNA research projects and pioneering new methodological frontiers.

A realist impact evaluation of a tool to strengthen equity in local government policy-making.

BACKGROUND: Local governments have a critical role to play in addressing health inequities. Health equity impact assessments are recommended to help governments apply an equity lens to the development and implementation of policies and programs. Despite evidence of equity-positive benefits of such tools, adoption remains limited, prompting calls for evaluations to assess their impact and identify factors that will promote uptake across various contexts. METHODS: We conducted a mixed method study to evaluate the impact of an equity impact assessment (EIA) tool and process on policies and organisational capacity in a local government in Victoria, Australia, and identify factors that influenced this impact. We analysed 33 documents related to 18 EIAs, and conducted surveys (n = 40) and in-depth interviews (n = 17) with staff involved in EIAs. RESULTS: Almost all (17 of 18) EIAs resulted in equity-positive changes to policies and programs, most frequently addressing individual-level factors, such as making community communications and consultations more accessible to under-represented or under-served groups. Structural-level recommendations from one EIA, such as increasing diversity in decision-making panels, were found to impact both the current policy and a broad range of future, related projects and services. Improvements in equity-centric organisational culture and capacity (including staff awareness, skills and confidence) and increased engagement with under-represented communities were also reported. Factors perceived to influence the impact of EIA's related to organisational commitment and capacity to prioritise equity, process-level factors related to the type and timing of EIAs, and extent of implementation support. CONCLUSION: Our study supports wider uptake of health equity impact assessments in local government policies and programs. Legislation, leadership and resources from upper-tiers of government can help increase the adoption of equity tools to reduce disparities in population health.

Italian Version of QI-Disability for QoL Evaluation in Children and Adolescents with Intellectual Disability: Translation and Cross-Cultural Adaptation Process.

Children and adolescents with Intellectual Disability (ID) experience a worse Quality-of-Life (QoL) relative to typically developing peers. Thus, QoL evaluation is important for identifying support needs and improving rehabilitation effectiveness. Nevertheless, currently in Italy there are not tools with this scope. This study aims to translate and cross-culturally adapt the Quality-of-Life Inventory-Disability (QI-Disability) into Italian. The process consisted in forward-backward translation, cross-cultural adaptation and cognitive debriefing. Eventually, QI-Disability was conceptually and semantically equivalent to the original one. A validation study is necessary to make the tool available in Italian clinical practice and educational contexts to improve these children's QoL.

A machine learning model for early diagnosis of type 1 Gaucher disease using real-life data.

OBJECTIVE: The diagnosis of Gaucher disease (GD) presents a major challenge due to the high variability and low specificity of its clinical characteristics, along with limited physician awareness of the disease's early symptoms. Early and accurate diagnosis is important to enable effective treatment decisions, prevent unnecessary testing, and facilitate genetic counseling. This study aimed to develop a machine learning (ML) model for GD screening and GD early diagnosis based on real-world clinical data using the Maccabi Healthcare Services (MHS) electronic database, which contains twenty years of longitudinal data on approximately 2.6 million patients. STUDY DESIGN AND SETTING: We screened the MHS database for patients with GD between January 1998 and May 2022. Eligible controls were matched by year of birth, sex, and socioeconomic status in a 1:13 ratio. The data were partitioned into 75% training and 25% test sets and trained to predict GD using features obtained from medical and laboratory records. Model performances were evaluated using the area-under-the receiver-operating-characteristic curve (AUROC) and the area-under-the-precision-recall curve (AUPRC). RESULTS: We detected 264 confirmed patients with GD to which we matched 3429 controls. The best model performance (which included known GD signs and symptoms, previously unknown clinical features, and administrative codes) on the test set had an AUROC = 0.95 ± 0.03 and AUPRC = 0.80 ± 0.08, which yielded a median GD identification of 2.78 years earlier than the clinical diagnosis (25th-75th percentile: 1.29-4.53). CONCLUSIONS: Using an ML approach on real-world data led to excellent discrimination between GD patients and controls, with the ability to detect GD significantly earlier than the time of actual diagnosis. Hence, this approach might be useful as a screening tool for GD and lead to earlier diagnosis and treatment. Furthermore, advanced ML analytics may highlight previously unrecognized features associated with GD, including clinical diagnoses and health-seeking behaviors.

Evidence of Internal Structure Validity, Measurement Invariance, Convergent Validity, Clinical Validity, and Reliability of the Woman Abuse Screening Tool in Peruvian Women.

Intimate partner violence (IPV) is the most common type of violence committed against women and results in serious personal, familial, social, and economic consequences; thus, there is a need to detect IPV early. One test for detecting IPV is the Woman Abuse Screening Tool (WAST). The objective of the study was to obtain evidence of the validity of the WAST in terms of its internal structure, measurement invariance, convergent validity, clinical validity, and reliability. A total of 670 women who have or have had a heterosexual relationship participated in the study. The first stage included 513 adult women who partook of health services (M age = 35.5 years, SD age = 10 years). The second stage included 160 women, 80 diagnosed with IPV (M age = 34.2 years, SD age = 11.8 years) and 80 who were not (M age = 31.8 years, SD age = 11.5 years). We used multivariate and receiver operating characteristic curve analyses. We found evidence that the WAST demonstrates a one-dimensional structure; evidence of measurement invariance regarding cohabitation with the partner, length of the relationship, and age; evidence of convergent validity in terms of correlations with emotional dependence, self-compassion, expressive suppression, anxiety, and depression; and evidence of clinical validity in terms of the high probability of detecting positive cases of IPV. These properties support the use of the WAST for detecting possible cases of IPV, which will allow timely intervention. This instrument can also be used in larger studies on IPV in the Spanish-speaking population.

Enteropathway: the metabolic pathway database for the human gut microbiota.

The human gut microbiota produces diverse, extensive metabolites that have the potential to affect host physiology. Despite significant efforts to identify metabolic pathways for producing these microbial metabolites, a comprehensive metabolic pathway database for the human gut microbiota is still lacking. Here, we present Enteropathway, a metabolic pathway database that integrates 3269 compounds, 3677 reactions, and 876 modules that were obtained from 1012 manually curated scientific literature. Notably, 698 modules of these modules are new entries and cannot be found in any other databases. The database is accessible from a web application (https://enteropathway.org) that offers a metabolic diagram for graphical visualization of metabolic pathways, a customization interface, and an enrichment analysis feature for highlighting enriched modules on the metabolic diagram. Overall, Enteropathway is a comprehensive reference database that can complement widely used databases, and a tool for visual and statistical analysis in human gut microbiota studies and was designed to help researchers pinpoint new insights into the complex interplay between microbiota and host metabolism.

Decision Aid for Colectomy in Recurrent Diverticulitis: Development and Usability Study.

BACKGROUND: Diverticular disease is a common gastrointestinal diagnosis with over 2.7 million clinic visits yearly. National guidelines from the American Society of Colon and Rectal Surgeons state that "the decision to recommend elective sigmoid colectomy after recovery from uncomplicated acute diverticulitis should be individualized." However, tools to individualize this decision are lacking. OBJECTIVE: This study aimed to develop an online educational decision aid (DA) to facilitate effective surgeon and patient communication about treatment options for recurrent left-sided diverticulitis. METHODS: We used a modified design sprint methodology to create a prototype DA. We engaged a multidisciplinary team and adapted elements from the Ottawa Personal Decision Guide. We then iteratively refined the prototype by conducting a mixed methods assessment of content and usability testing, involving cognitive interviews with patients and surgeons. The findings informed the refinement of the DA. Further testing included an in-clinic feasibility review. RESULTS: Over a 4-day in-person rapid design sprint, including patients, surgeons, and health communication experts, we developed a prototype of a diverticulitis DA, comprising an interactive website and handout with 3 discrete sections. The first section contains education about diverticulitis and treatment options. The second section clarifies the potential risks and benefits of both clinical treatment options (medical management vs colectomy). The third section invites patients to participate in a value clarification exercise. After navigating the DA, the patient prints a synopsis that they bring to their clinic appointment, which serves as a guide for shared decision-making. CONCLUSIONS: Design sprint methodology, emphasizing stakeholder co-design and complemented by extensive user testing, is an effective and efficient strategy to create a DA for patients living with recurrent diverticulitis facing critical treatment decisions.

Evaluation of a Digital Previsit Tool for Identifying Stroke-Related Health Problems Before a Follow-Up Visit (Part 1): Survey Study.

BACKGROUND: Stroke may lead to various disabilities, and a structured follow-up visit is strongly recommended within a few months after an event. To facilitate this visit, the digital previsit tool "Strokehealth" was developed for patients to fill out in advance. The concept Strokehälsa (or Strokehealth) was initially developed in-house as a Windows application, later incorporated in 1177.se. OBJECTIVE: The study's primary objective was to use a patient satisfaction survey to evaluate the digital previsit tool Strokehealth when used before a follow-up visit, with a focus on feasibility and relevance from the perspective of people with stroke. Our secondary objective was to explore the extent to which the previsit tool identified stroke-related health problems. METHODS: Between November 2020 and June 2021, a web-based survey was sent to patients who were scheduled for a follow-up visit after discharge from a stroke unit and had recently filled in the previsit tool. The survey covered demographic characteristics, internet habits, and satisfaction rated using 5 response options. Descriptive statistics were used to present data from both the previsit tool and the survey. We also compared the characteristics of those who completed the previsit tool and those who did not, using nonparametric statistics. Free-text responses were thematically analyzed. RESULTS: All patients filling out the previsit tool (80/171; age: median 67, range 32-91 years) were community-dwelling. Most had experienced a mild stroke and reported a median of 2 stroke-related health problems (range 0-8), and they were significantly younger than nonresponders (P<.001). The survey evaluating the previsit tool was completed by 73% (58/80; 39 men). The majority (48/58, 83%) reported using the internet daily. Most respondents (56/58, 97%) were either satisfied (n=15) or very satisfied (n=41) with how well the previsit tool captured their health problems. The highest level of dissatisfaction was related to the response options in Strokehealth (n=5). Based on the free-text answers to the survey, we developed 4 themes. First, Strokehealth was perceived to provide a structure that ensured that issues would be emphasized and considered. Second, user-friendliness and accessibility were viewed as acceptable, although respondents suggested improvements. Third, participants raised awareness about being approached digitally for communication and highlighted the importance of how to be approached. Fourth, their experiences with Strokehealth were influenced by their perceptions of the explanatory texts, the response options, and the possibility of elaborating on their answers in free text. CONCLUSIONS: People with stroke considered the freely available previsit tool Strokehealth feasible for preparing in advance for a follow-up visit. Despite high satisfaction with how well the tool captured their health problems, participants indicated that additional free-text responses and revised information could enhance usability. Improvements need to be considered in parallel with qualitative data to ensure that the tool meets patient needs. TRIAL REGISTRATION: Researchweb 275135; https://www.researchweb.org/is/vgr/project/275135.

pSPObooster: A Plasmid System to Improve Sporulation Efficiency of Saccharomyces cerevisiae Lab Strains.

Common Saccharomyces cerevisiae lab yeast strains derived from S288C have meiotic defects and therefore are poor sporulators. Here, we developed a plasmid system containing corrected alleles of the MKT1 and RME1 genes to rescue the meiotic defects and show that standard BY4741 and BY4742 strains containing the plasmid display faster and more efficient sporulation. The plasmid, pSPObooster, can be maintained as an episome and easily cured or stably integrated into the genome at a single locus. We demonstrate the use of pSPObooster in low- and high-throughput yeast genetic manipulations and show that it can expedite both procedures without impacting strain behavior.

Color Comparison Between Intraoral Scanner and Spectrophotometer Shade Matching: A Systematic Review and Meta-Analysis.

OBJECTIVE: This systematic review and meta-analysis compared the accuracy of intraoral scanners and spectrophotometers in determining tooth shade. MATERIALS AND METHODS: An electronic search of five databases (PubMed, Scopus, Embase, Web of Science, CENTRAL) was conducted on October 19, 2023. A total of 163 studies were identified from the databases, of which 23 articles were eligible for inclusion. In vivo and in vitro quasi-experimental studies were included. After data extraction, a quantitative analysis was performed to determine the accuracy of the intraoral scanner in subgroups using four outcomes: trueness and precision with different measurement locations. A random-effects model was used to pool effect sizes. The pooled proportion with a 95% confidence interval (CI) was used for the effect size measure. RESULTS: Eleven articles were included in the meta-analysis. Trueness with the intraoral scanner was between 0.28 (CI: 0.09-0.60) and 0.38 (CI: 0.24-0.53). Repeatability was between 0.81 (CI: 0.64-0.91) and 0.85 (CI: 0.74-0.92). Trueness showed low, and precision had moderate certainty of evidence. CONCLUSION: The trueness of shade matching with intraoral scanners is low compared to spectrophotometers, although the precision is considered high and is similar to spectrophotometers. CLINICAL SIGNIFICANCE: Shade determination with intraoral scanners is not recommended.

Adaptation and Validation of the Sydney Swallow Questionnaire into Kannada (KSSQ).

Self-rating questionnaires are necessary to quantify the impairment and the impact of impairment on the quality of life, provided that these questionnaires are delivered in the patient's native language. There are no questionnaires to assess the symptom severity of oropharyngeal dysphagia in Kannada-speaking individuals. The Sydney Swallow Questionnaire (SSQ) is one such explicit tool to assess the symptoms of dysphagia, especially among patients with oropharyngeal dysphagia. The SSQ is a simple and easy-to-understand questionnaire. Therefore, the present study aimed to adapt and validate the SSQ in Kannada. English version of the SSQ was translated to Kannada and was administered to two groups of native Kannada-speaking participants - Group 1 included 53 participants (66.49 + 12.65 years) diagnosed with oropharyngeal dysphagia, and Group 2 included 53 age and gender-matched native Kannada speakers with normal swallowing ability with no history and symptoms of swallowing disorders. Cronbach's alpha was used to assess the test-retest reliability. Internal consistency was assessed using the split-half correlation. The concurrent validity of the Kannada version of SSQ (KSSQ) was measured by determining the correlation between the total scores of KSSQ and the Kannada version of Dysphagia Handicap Index (DHI). The discriminant validity was assessed by comparing the KSSQ scores between the participants of both groups. The results indicated that the KSSQ had excellent test-retest reliability, strong internal consistency, and good concurrent and discriminant validity. Therefore, it was inferred that the KSSQ is a valid and reliable tool for assessing the symptoms of dysphagia, especially among Kannada-speaking patients with oropharyngeal dysphagia.

Leveraging the use of a social media app as a collaborative medical information and knowledge sharing tool-insights from experiential use and survey of a CME WhatsApp community.

BACKGROUND AND AIM: Continuing Medical Education (CME) is crucial for physicians to stay current in the rapidly advancing field of medicine. A WhatsApp (WA) based community of physicians was initiated in 2016 'WhatsApp CME India Group' to facilitate learning, knowledge sharing, and discussion among physicians. Due to participant size constraints of the technology, it evolved into seven distinct WA groups, overseen by a central administrator. A survey undertaken in the group's 7th year aimed to evaluate its effectiveness in achieving its goals, measure participant engagement, and uncover the primary factors driving its usage. METHODS: The survey questionnaire was distributed to 3500 members across the 07 WhatsApp CME groups for voluntary participation. Data collected was analysed using SPSS version 24.0 (SPSS Inc., Chicago, IL, USA) and reported using descriptive statistics. RESULTS: Among the 581 survey respondents, the study found 43% of physicians use the WhatsApp academic groups for CME content, with 32% accessing their group over four times daily. The primary motivation for 77% was to discuss challenging cases and to gain knowledge updates from fellow physician (70%). Medical websites (57%), referral books (49%), and Google (43%) were other significant resources. Every participant (100%) found the WhatsApp CME India group the most beneficial resource for daily medical science updates. A significant portion (57%) of the respondents found the group valuable for real-time information exchange. Over 78% stated it kept them current with knowledge and guidelines. Notably, 94% viewed WhatsApp CME as complementary to physical conferences, not a replacement. The post-conference/webinar summaries were appreciated by 81% participants. Case discussions (31%) and update posts from fellow physicians sharing their insights and learnings (24%) were noted as activities of great academic interest. CONCLUSION: This study underscores the potential of digital platforms like WhatsApp in supplementing CME in India and potentially other comparable settings. The blend of digital and traditional resources suggests a balanced learning approach. While real-time engagement is a strength, challenges like information overload and privacy concerns require careful management. Striking a balance is crucial for ensuring content quality, structured discussions and privacy. As the digital age advances, professionals must critically assess shared information on these platforms to guarantee evidence-based and reliable knowledge dissemination. TRIAL REGISTRATION: ARK 001.

Efficacy and Safety of a Patient Selection Tool for Predicted Discharge at an Ambulatory Surgical Center: A Pilot Study.

Background: There is a paucity of validated risk stratification tools to assess which patients can safely and predictably undergo outpatient total hip (THA) or knee arthroplasty (TKA) in an ambulatory surgery center (ASC). Methods: Our novel patient selection tool was prospectively applied to 190 consecutive primary THA and TKA performed by a single surgeon at a single ASC. We identified the proportion of patients discharged home the same day, those requiring a one-night stay, or those with failed discharge within 23 hours. A retrospective chart review was performed to determine if any demographic parameters were risk factors for an overnight stay. Results: Overall, 190 (100%) patients selected for outpatient THA and TKA were discharged home within 23 hours. One hundred and four patients (55%) were discharged the same day of surgery, whereas 86 (45%) required overnight stay and were discharged on postoperative day 1. Female sex (odds ratio [OR]: 4.1, 95% confidence interval [CI]: 2.0-8.2, P < .001), THA (OR: 2.5, 95% CI: 1.1-5.5, P = .022), and heavier body mass index (OR: 1.0, 95% CI: 1.0-1.2, P = .022) were identified as independent risk factors for staying overnight in the ASC. Conclusions: In this pilot study, we found that 100% of outpatient THA and TKA-eligible patients were able to be discharged home by postoperative day 1. Additionally, we found that this selection tool is safe and effective at predicting short-stay discharge in an ASC.