BACKGROUND: Patients with language barriers encounter healthcare disparities, which may be alleviated by leveraging interpreter skills to reduce cultural, language, and literacy barriers through improved bidirectional communication. Evidence supports the use of in-person interpreters, especially for interactions involving patients with complex care needs. Unfortunately, due to interpreter shortages and clinician underuse of interpreters, patients with language barriers frequently do not get the language services they need or are entitled to. Health information technologies (HIT), including artificial intelligence (AI), have the potential to streamline processes, prompt clinicians to utilize in-person interpreters, and support prioritization.
METHODS: From May 1, 2023, to June 21, 2024, a single-center stepped wedge cluster randomized trial will be conducted within 35 units of Saint Marys Hospital & Methodist Hospital at Mayo Clinic in Rochester, Minnesota. The units include medical, surgical, trauma, and mixed ICUs and hospital floors that admit acute medical and surgical care patients as well as the emergency department (ED). The transitions between study phases will be initiated at 60-day intervals resulting in a 12-month study period. Units in the control group will receive standard care and rely on clinician initiative to request interpreter services. In the intervention group, the study team will generate a daily list of adult inpatients with language barriers, order the list based on their complexity scores (from highest to lowest), and share it with interpreter services, who will send a secure chat message to the bedside nurse. This engagement will be triggered by a predictive machine-learning algorithm based on a palliative care score, supplemented by other predictors of complexity including length of stay and level of care as well as procedures, events, and clinical notes.
CONCLUSIONS: This pragmatic clinical trial approach will integrate a predictive machine-learning algorithm into a workflow process and evaluate the effectiveness of the intervention. We will compare the use of in-person interpreters and time to first interpreter use between the control and intervention groups.
BACKGROUND: NCT05860777. May 16, 2023.

BACKGROUND: The complexity of congenital heart disease has been primarily stratified on the basis of surgical technical difficulty, specific diagnoses, and associated outcomes. We report on the refinement and validation of a pediatric echocardiography complexity (PEC) score.
RESULTS: The American College of Cardiology Quality Network assembled a panel from 12 centers to refine a previously published PEC score developed in a single institution. The panel refined complexity categories and included study modifiers to account for complexity related to performance of the echocardiogram. Each center submitted data using the PEC scoring tool on 15 consecutive inpatient and outpatient echocardiograms. Univariate and multivariate analyses were performed to assess for independent predictors of longer study duration. Among the 174 echocardiograms analyzed, 68.9% had underlying congenital heart disease; 44.8% were outpatient; 34.5% were performed in an intensive care setting; 61.5% were follow-up; 46.6% were initial or preoperative; and 9.8% were sedated. All studies had an assigned PEC score. In univariate analysis, longer study duration was associated with several patient and study variables (age <2 years, PEC 4 or 5, initial study, preoperative study, junior or trainee scanner, and need for additional imaging). In multivariable analysis, a higher PEC score of 4 or 5 was independently associated with longer study duration after controlling for study variables and center variation.
CONCLUSIONS: The PEC scoring tool is feasible and applicable in a variety of clinical settings and can be used for correlation with diagnostic errors, allocation of resources, and assessment of physician and sonographer effort in performing, interpreting, and training in pediatric echocardiography.

To develop a complexity scoring system to characterize the diverse population served in pediatric aerodigestive clinics and help predict their treatment outcomes.
A 7-point medical complexity score was developed through an iterative group consensus of relative stakeholders to capture the spectrum of comorbidities among the aerodigestive population. One point was assigned for each comorbid diagnosis in the following categories: airway anomaly, neurologic, cardiac, respiratory, gastrointestinal, genetic diagnoses, and prematurity. A retrospective chart review was conducted of patients seen in the aerodigestive clinic who had ≥2 visits between 2017 and 2021. The predictive value of the complexity score for the selected outcome of feeding progression among children with dysphagia was analyzed with univariate and multivariable logistic regression.
We analyzed 234 patients with complexity scores assigned, showing a normal distribution (Shapiro Wilk P = .406) of the scores 1-7 (median, 4; mean, 3.50 ± 1.47). In children with dysphagia, there was waning success in the improvement of oral feeding with increasing complexity scores (OR, 0.66; 95% CI, 0.51-0.84; P = .001). Tube-fed children with higher complexity scores were incrementally less likely to achieve full oral diet (OR, 0.60; 95% CI, 0.40-0.89; P = .01). On multivariable analysis, neurologic comorbidity (OR, 0.26; P < .001) and airway malformation (OR, 0.35; P = .01) were associated with a decreased likelihood to improve in oral feeding.
We propose a novel complexity score for the pediatric aerodigestive population that is easy to use, successfully stratifies diverse presentations, and shows promise as a predictive tool to assist in counseling and resource use.

BACKGROUND: Management of dentofacial deficiencies requires knowledge about sutural morphology and complexity. The present study assesses midpalatal sutural morphology based on human cone-beam computed tomography (CBCT) using geometric morphometrics (GMM) and complexity scores. The study is the first to apply a sutural complexity score to human CBCT datasets and demonstrates the potential such a score has to improve objectiveness and comparability when analysing the midpalatal suture.
METHODS: CBCTs of various age and sex groups were analysed retrospectively (n = 48). For the geometric morphometric analysis, landmark acquisition and generalised Procrustes superimposition were combined with principal component analysis to detect variability in sutural shape patterns. For complexity analysis, a windowed short-time Fourier transform with a power spectrum density (PSD) calculation was applied to resampled superimposed semi-landmarks.
RESULTS: According to the GMM, younger patients exhibited comparable sutural patterns. With increasing age, the shape variation increased among the samples. The principal components did not sufficiently capture complexity patterns, so an additional methodology was applied to assess characteristics such as sutural interdigitation. According to the complexity analysis, the average PSD complexity score was 1.465 (standard deviation = 0.010). Suture complexity increased with patient age (p < 0.0001), but was not influenced by sex (p = 0.588). The intra-class correlation coefficient exceeded 0.9, indicating intra-rater reliability.
CONCLUSIONS: Our study demonstrated that GMM applied to human CBCTs can reveal shape variations and allow the comparison of sutural morphologies across samples. We demonstrate that complexity scores can be applied to study human sutures captured in CBCTs and complement GMM for a comprehensive sutural analysis.

OBJECTIVE: The treatment of gingival recessions (GRs) is operator-sensitive and dependent upon several local anatomical factors. The aim of this study was to introduce a difficulty score for the treatment of localized GRs with the coronally advanced flap (CAF) and to test its consistency among different operators.
METHODS: A rubric (difficulty score) consisting of the assessment and grading of 8 anatomical parameters (anatomical papilla, apical and lateral keratinized tissue width, apical and lateral frenum, vestibulum depth, scar tissue, and mucosal invagination) is described based on the available evidence and the authors\' experience. Inter-examiner agreement, with the score, was tested on 32 localized GRs among four different experienced practitioners.
RESULTS: Minor discrepancies were observed in the total scores between the reviewers (intraclass correlation coefficient [ICC] 0.95). A good reproducibility, with ICCs ranging from 0.56 to 0.98, was found for the individual parameters. All models showed high absolute variance contribution conveying true differences among the cases, and small examiner variance, demonstrating minor systematic variability among the four reviewers and reproducible evaluations.
CONCLUSIONS: The proposed difficulty score for the treatment of GRs with CAF was reproducible among different operators. Clinical interventional studies are the next step to validate the clinical magnitude of the present score.
CONCLUSIONS: A novel tool for evaluating the difficulty of the treatment of isolated gingival recession using CAF was described. Clinicians can benefit from this score when assessing the expected level of complexity of the surgical case.

BACKGROUND: We intend to establish a complexity score for soft tissue tumor surgeries to compare the complexities of different soft tissue tumor surgeries and to ultimately assign affected patients to appropriate treatments.
METHODS: We developed a soft tissue tumor complexity score (STS-SCS) based on three pillars: in addition to patient-related factors, tumor biology and surgery-associated parameters were taken into account. The STS-SCS was applied to our sampling group of 711 patients.
RESULTS: The minimum STS-SCS was 4, the maximum score was 34 and the average score 11.4 ± 5.9. The scores of patients with malignant diagnoses were notably higher and more widely scattered than those of patients with benign or intermediate malignant tumors. To better categorize the complexities of individual surgeries, we established four categories using the collected data as a reference dataset. Each of the categories contained approximately one-quarter of the registered patients.
CONCLUSIONS: The STS-SCS allows soft tissue tumor surgeries to be retrospectively evaluated for their complexity and forms the basis for the creation of a prospective concept to provide patients with the right intervention in the right geographic location, which can lead to better results and provision of the most cost-effective overall treatment.

Evaluate inter-rater and intrarater reliability of a novel scoring tool for surgical complexity assessment of endoscopic hysterectomy.
Validation study.
Academic medical center.
Total of 11 academic obstetrician-gynecologists with varying years of postresidency training, clinical practice, and surgical volumes.
Application of a novel scoring tool to evaluate surgical complexity of 150 sets of images taken in a standardized fashion before surgical intervention (global pelvis, anterior cul-de-sac, posterior cul-de-sac, right adnexa, left adnexa). Using only these images, raters were asked to assess uterine size, number, and location of myomas, adnexal and uterine mobility, need for ureterolysis, and presence of endometriosis or adhesions in relevant locations. Surgical complexity was staged on a scale of 1 to 4 (low to high complexity).
Number of postresidency years in practice for participating surgeons ranged from 2 to 15, with an average of 8 years. A total of 8 obstetrician-gynecologists (72.7%) had completed a fellowship in minimally invasive gynecologic surgery. Six (54.6%) reported an annual volume of >50 hysterectomies. Raters reported that 95.4% of the images were satisfactory for assessment. Of the 150 sets of images, most were found to be stage 1 to 2 complexity (stage 1: 23.8%, stage 2: 41.6%, stage 3: 32.8%, stage 4: 1.8%). The level of inter-rater agreement regarding stage 1 to 2 vs 3 to 4 complexity was moderate (κ = 0.49; 95% confidence interval [CI], 0.42-0.56). Moderate inter-rater agreement was also found between surgeon raters with an annual hysterectomy volume >50 (κ = 0.49; 95% CI, 0.40-0.57) as well as between surgeon raters with fellowship experience (κ = 0.50; 95% CI, 0.42-0.58). Intrarater agreement averaged 80.2% among all raters and also achieved moderate agreement (mean weighted κ = 0.53; range, 0.38-0.72).
This novel scoring tool uses clinical assessment of preintervention anatomic images to stratify the surgical complexity of endoscopic hysterectomy. It has rich and comprehensive evaluation capabilities and achieved moderate inter-rater and intrarater agreement. The tool can be used in conjunction with or instead of traditional markers of surgical complexity such as uterine weight, estimated blood loss, and operative time.

OBJECTIVE: The aim of this study was to evaluate our surgical treatment outcomes of active infective endocarditis (IE) of mitral valve in relation to the patients\' complexity scores.
METHODS: We reviewed 51 patients who underwent surgical treatment for active IE on the mitral valve, in our hospital between September 2002 and November 2016. We adapted a complexity scoring scale to describe the range of parts suffering vegetation and damage, assigning the following weighting: weight 1 for each posterior segment; weight 2 for each anterior segment, commissural segment, left atrium, or left ventricle; weight 3 if the annulus was involved or if pathology extended to a prior mitral operation site. A total of 51 patients were identified and categorized by complexity score into two groups: 1-2: Simple (n = 19); ≥ 3: Complex (n = 32).
RESULTS: MV repair was achieved in 18 patients (95%) in the Simple group and 26 patients (81%) in the Complex group. In the Complex there were 2 in-hospital deaths (6%). There were none in the Simple. The 5-year survival rates were 100% in the Simple and 79.6% in the Complex (P < 0.05). The 5-year rates of freedom from mitral regurgitation were 77.8% in the Simple and 91.5% in the Complex (P = 0.63). The 5-year rates of freedom from recurrence of IE were 93.3% in the Simple and 92.2% in the Complex (P = 0.76).
CONCLUSIONS: We found consistent outcomes in terms of recurrent mitral regurgitation and recurrence of IE, regardless of lesion complexity.

Foramen magnum meningiomas (FMMs) are challenging lesions and controversy still exists regarding their optimal management. In the present paper, we propose some principles of surgical treatment of FMMs. We analyzed our series of 39 patients: the average maximum diameter was 31.1 mm (sd, 10.7). In two cases, there was extradural extension. We operated all anterior lesions through dorsolateral approach to craniovertebral junction and all posterior lesions through midline suboccipital approach and C1 laminectomy, following the prevalence of side of the tumor. There were no complications except for one case of post-operative hypoglossus paresis. We translated our experience with surgery of foramen magnum meningiomas into a classification system and a complexity score, in order to assign a score to each individual case and plan the surgical strategy. When the complexity score is 5 or more, we propose subtotal removal, in consideration of the benign nature.