Mateo Chavez, Maria B

Abstract Context Incidental thyroid findings (ITFs) are increasingly detected on imaging performed for non-thyroid indications. Their prevalence, features, and consequences remain undefined. Objective To develop, validate, and deploy a natural language processing (NLP) pipeline to identify ITFs in radiology reports and assess their prevalence, features, and clinical outcomes. Design Retrospective cohort study. Setting Mayo Clinic sites (Rochester, Arizona, Florida, Mayo Clinic Health System). Participants Adults without prior thyroid disease undergoing thyroid-capturing imaging from July 1, 2017, to September 30, 2023. A transformer-based NLP pipeline identified ITFs and extracted nodule characteristics from image reports from multiple modalities and body regions. Outcomes ITF prevalence, downstream thyroid ultrasound, biopsy, thyroidectomy, and cancer diagnosis. Logistic regression identified demographic and imaging-related factors. Results Among 115 683 patients (mean age, 56.8 [SD 17.2]; 52.9% women), 9077 (7.8%) had an ITF (92.9% nodular). ITFs were more likely in women, older adults, higher BMI, and in imaging ordered by specialties different from Emergency Medicine. Compared with chest CT, ITFs were more likely via neck CT, PET, and nuclear medicine scans. Nodule characteristics were poorly documented, with size reported in 44% and other features in fewer than 15%. Compared with patients without ITFs, those with ITFs had higher odds of thyroid nodule diagnosis (OR 45, 95%CI 41.1-49.3), biopsy (OR 46.8, 95%CI 39.0-56.2) thyroidectomy (OR 55.8, 95%CI 31.3-99.3), and thyroid cancer diagnosis (OR 61.7, 95%CI 38.6-98.5). Most cancers were papillary (88.5%) and larger when detected after ITFs (2 cm SD 1.4) vs no ITF (1.3 cm SD 0.8). Conclusion ITFs were common and strongly associated with cascades leading to the detection of small, low-risk cancers, highlighting their role in overdiagnosis and the need for standardized reporting and more selective follow-up.

Abstract Aims Congenital heart disease (CHD) presents lifelong challenges that require effective self-management skills, particularly for youth transitioning to adulthood. This systematic review evaluates the impact of self-management interventions, grounded in self-efficacy, on both health and patient-reported outcomes in youths with CHD. Methods and results Adhering to Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines, we conducted a systematic review and registered the protocol in PROSPERO. We included interventional studies targeting youth aged 15–24 years with CHD that employed self-management interventions based on self-efficacy. Comprehensive searches were performed in Ovid MEDLINE, Ovid EMBASE, CINAHL, the Cochrane Central Register of Controlled Trials, the Cochrane Database of Systematic Reviews, and Scopus from January 1973 to March 2024, with an update to include studies published until December 2024. Two reviewers independently screened titles, abstracts, and full texts, resolving disagreements by consensus. Data extraction followed Template for Intervention Description and Replication guidelines, and risk of bias was assessed using the Cochrane Risk of Bias in Non-Randomized Studies of Interventions and Risk of Bias 2 tools. Out of 54 potential studies, 4 met the eligibility criteria, representing 150 patients aged 16–19 years. The studies reported improvements in condition-related knowledge, self-management skills, and social support, although data on clinical health outcomes were limited. A narrative synthesis of the selected interventions was performed. Conclusion Self-management interventions using self-efficacy frameworks show promise for improving patient-reported outcomes among youth with CHD. However, there is a scarcity of data on their impact on health outcomes. Further research is needed to develop and implement interventions tailored to this population, potentially improving both self-management and clinical outcomes. Registration PROSPERO: CRD42024499008

Key Points Patient-centered care in an interdisciplinary CKD clinic addresses complex needs and supports comprehensive CKD management. Implementation of an interdisciplinary CKD clinic reduced hospital admissions by 26%, emergency department visits by 30%, and increased nephrology consultations. Comprehensive care models with integrated registries enhance tailored interventions, leading to improved CKD management outcomes. Background CKD is a significant public health issue globally. Its progressive nature calls for innovative care models to mitigate disease progression and enhance patient outcomes. An interdisciplinary clinic model may offer comprehensive care tailored to the needs of patients with CKD. The aim of this study was to evaluate the effect of an interdisciplinary CKD clinic on disease progression, health care utilization, and social determinants of health (SDOH). Methods We conducted a retrospective cohort study at the Mayo Clinic in Rochester, Minnesota. The study included 534 patients enrolled in the CKD clinic between March 5, 2021, and May 31, 2022, excluding those who opted out of research. The intervention involved a clinical registry and an interdisciplinary team delivering evidence-based care pathways, patient education, shared decision making, and care coordination. The primary outcomes assessed were CKD progression and health care utilization, while secondary outcomes examined the effect of SDOH. Results At entry, the median age was 73 (interquartile range, 64–79) years, with 60% at stage 4 or lower. Clinic implementation correlated with a 26% decrease in hospital admissions (incidence rate ratio [IRR], 0.74; 95% confidence interval [CI], 0.60 to 0.91; P = 0.004) and a 30% reduction in emergency visits (IRR, 0.70; 95% CI, 0.57 to 0.87; P = 0.001). Nephrology consultations increased by 46% (IRR, 1.46; 95% CI, 1.34 to 1.60; P < 0.001), reflecting enhanced specialized care. Lower exercise frequency and unemployment were linked to increased CKD progression and health care usage. Conclusions An interdisciplinary CKD clinic supported by a registry can potentially reduce health care utilization among patients with CKD, with SDOH playing a critical role in disease management.

Traumatic brain injury (TBI) remains a major cause of morbidity and death among the pediatric population. Timely diagnosis, however, remains a complex task because of the lack of standardized methods that permit its accurate identification. The aim of this study was to determine whether serum levels of brain injury biomarkers can be used as a diagnostic and prognostic tool in this pathology. This prospective, observational study collected and analyzed the serum concentration of neuronal injury biomarkers at enrollment, 24h and 48h post-injury, in 34 children ages 0–18 with pTBI and 19 healthy controls (HC). Biomarkers included glial fibrillary acidic protein (GFAP), neurofilament protein L (NfL), ubiquitin-C-terminal hydrolase (UCH-L1), S-100B, tau and tau phosphorylated at threonine 181 (p-tau181). Subjects were stratified by admission Glasgow Coma Scale score into two categories: a combined mild/moderate (GCS 9–15) and severe (GCS 3–8). Glasgow Outcome Scale-Extended (GOS-E) Peds was dichotomized into favorable (≤4) and unfavorable (≥5) and outcomes. Data were analyzed utilizing Prism 9 and R statistical software. The findings were as follows: 15 patients were stratified as severe TBI and 19 as mild/moderate per GCS. All biomarkers measured at enrollment were elevated compared with HC. Serum levels for all biomarkers were significantly higher in the severe TBI group compared with HC at 0, 24, and 48h. The GFAP, tau S100B, and p-tau181 had the ability to differentiate TBI severity in the mild/moderate group when measured at 0h post-injury. Tau serum levels were increased in the mild/moderate group at 24h. In addition, NfL and p-tau181 showed increased serum levels at 48h in the aforementioned GCS category. Individual biomarker performance on predicting unfavorable outcomes was measured at 0, 24, and 48h across different GOS-E Peds time points, which was significant for p-tau181 at 0h at all time points, UCH-L1 at 0h at 6–9 months and 12 months, GFAP at 48h at 12 months, NfL at 0h at 12 months, tau at 0h at 12 months and S100B at 0h at 12 months. We concluded that TBI leads to increased serum neuronal injury biomarkers during the first 0–48h post-injury. A biomarker panel measuring these proteins could aid in the early diagnosis of mild to moderate pTBI and may predict neurological outcomes across the injury spectrum.