Citations

AbstractIntroductionOlder adults are at high risk of adverse health outcomes in the post–emergency department (ED) discharge period. Prior work has shown that discharged older adults have variable understanding of their discharge instructions which may contribute to these outcomes. To identify discharge comprehension gaps amenable to future interventions, we utilize meta‐analysis to determine patient comprehension across five domains of discharge instructions: diagnosis, medications, self‐care, routine follow‐up, and return precautions.MethodsUsing Preferred Reporting Items for Systematic Reviews and Meta‐Analyses guidelines, two reviewers sourced evidence from databases including Medline (PubMed), EMBASE, Web of Science, CINAHL, and Google Scholar (for gray literature). Publications or preprints appearing before April 2024 were included if they focused on geriatric ED discharge instructions and reported a proportion of patients with comprehension of at least one of five predefined discharge components. Meta‐analysis of eligible studies for each component was executed using random‐effects modeling to describe the proportion of geriatric ED cases understanding the discharge instructions; where appropriate we calculated pooled estimates, reported as percentages with 95% confidence interval (CI).ResultsOf initial records returned (N = 2898), exclusions based on title or abstract assessment left 51 studies for full‐text review; of these, seven constituted the study set. Acceptable heterogeneity and absence of indication of publication bias supported pooled estimates for proportions comprehending instructions on medications (41%, 95% CI 31%–50%, I2 = 43%), self‐care (81%, 95% CI 76%–85%, I2 = 43%), and routine follow‐up (76%, 95% CI 72%–79%, I2 = 25%). Key findings included marked heterogeneity with respect to comprehending two discharge parameters: diagnosis (I2 = 73%) and return precautions (I2 = 95%).ConclusionsOlder patients discharged from the ED had greater comprehension of self‐care and follow‐up instructions than about their medications. These findings suggest that medication instructions may be a priority domain for future interventions.

Abstract Objective To provide a comprehensive assessment of various fractionation schemes in radiation therapy for breast cancer, with a focus on side effects, cosmesis, quality of life, risks of recurrence, and survival outcomes. Design Systematic review and meta-analysis. Data sources Ovid MEDLINE, Embase, and Cochrane Central Register of Controlled Trials (from inception to 23 October 2023). Study selection Included studies were randomised controlled trials focusing on conventional fractionation (CF; daily fractions of 1.8-2 Gy, reaching a total dose of 50-50.4 Gy over 5-6 weeks), moderate hypofractionation (MHF; fraction sizes of 2.65-3.3 Gy for 13-16 fractions over 3-5 weeks), and/or ultra-hypofractionation (UHF; schedule of only 5 fractions). Data extraction Two independent investigators screened studies and extracted data. Risk of bias and quality of evidence were assessed using the Cochrane Collaboration’s tool and the GRADE (Grading of Recommendations, Assessment, Development, and Evaluations) approach, respectively. Data synthesis Pooled risk ratios (RRs) and hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated using a random effects model. Heterogeneity was analysed using Cochran’s Q test and I 2 statistic. Network meta-analysis was used to integrate all available evidence. Main outcome measures The pre-specified primary outcome was grade ≥2 acute radiation dermatitis and late radiation therapy related side effects; secondary outcomes included cosmesis, quality of life, recurrence, and survival metrics. Results From 1754 studies, 59 articles representing 35 trials (20 237 patients) were assessed; 21.6% of outcomes showed low risk of bias, whereas 78.4% had some concerns or high risk, particularly in outcome measurement (47.4%). The RR for grade ≥2 acute radiation dermatitis for MHF compared with CF was 0.54 (95% CI 0.49 to 0.61; P<0.001) and 0.68 (0.49 to 0.93; P=0.02) following breast conserving therapy and mastectomy, respectively. Hyperpigmentation and grade ≥2 breast shrinkage were less frequent after MHF than after CF, with RRs of 0.77 (0.62 to 0.95; P=0.02) and 0.92 (0.85 to 0.99; P=0.03), respectively, in the combined breast conserving therapy and mastectomy population. However, in the breast conserving therapy only trials, these differences in hyperpigmentation (RR 0.79, 0.60 to 1.03; P=0.08) and breast shrinkage (0.94, 0.83 to 1.07; P=0.35) were not statistically significant. The RR for grade ≥2 acute radiation dermatitis for UHF compared with MHF was 0.85 (0.47 to 1.55; P=0.60) for breast conserving therapy and mastectomy patients combined. MHF was associated with improved cosmesis and quality of life compared with CF, whereas data on UHF were less conclusive. Survival and recurrence outcomes were similar between UHF, MHF, and CF. Conclusions MHF shows improved safety profile, cosmesis, and quality of life compared with CF while maintaining equivalent oncological outcomes. Fewer randomised controlled trials have compared UHF with other fractionation schedules, but its safety and oncological effectiveness seem to be similar with short term follow-up. Given the advantages of reduced treatment time, enhanced convenience for patients, and potential cost effectiveness, MHF and UHF should be considered as preferred options over CF in appropriate clinical settings, with further research needed to solidify these findings. Systematic review registration PROSPERO CRD42023460249.

Abstract Identifying individuals at risk for short-term fracture is essential to offer prompt beneficial treatment, especially since many fractures occur in those without osteoporosis by DXA-aBMD. We evaluated whether deficits in bone microarchitecture and density predict short-term fracture risk independent of the clinical predictors, DXA-BMD and FRAX. We combined data from eight cohorts to conduct a prospective study of bone microarchitecture at the distal radius and tibia (by HR-pQCT) and 2-year incidence of fracture (non-traumatic and traumatic) in 7327 individuals (4824 women, 2503 men, mean 69 ± 9 years). We estimated sex-specific hazard ratios (HR) for associations between bone measures and 2-year fracture incidence, adjusted for age, cohort, height, and weight, and then additionally adjusted for FN aBMD or FRAX for major osteoporotic fracture. Only 7% of study participants had FN T-score ≤ −2.5, whereas 53% had T-scores between −1.0 and −2.5 and 37% had T-scores ≥−1.0. Two-year cumulative fracture incidence was 4% (296/7327). Each SD decrease in radius cortical bone measures increased fracture risk by 38%-76% for women and men. After additional adjustment for FN-aBMD, risks remained increased by 28%-61%. Radius trabecular measures were also associated with 2-year fracture risk independently of FN-aBMD in women (HRs range: 1.21 per SD for trabecular separation to 1.55 for total vBMD). Decreased failure load (FL) was associated with increased fracture risk in both women and men (FN-aBMD ranges of adjusted HR = 1.47-2.42). Tibia measurement results were similar to radius results. Findings were also similar when models were adjusted for FRAX. In older adults, FL and HR-pQCT measures of cortical and trabecular bone microarchitecture and density with strong associations to short-term fractures improved fracture prediction beyond aBMD and FRAX. Thus, HR-pQCT may be a useful adjunct to traditional assessment of short-term fracture risk in older adults, including those with T-scores above the osteoporosis range.

Abstract Background and Aims Severe tricuspid regurgitation is associated with increased mortality rates, but benefit of its correction and ideal timing are not clearly determined. This study aimed to identify patient subsets who might benefit from the surgery. Methods In TRIGISTRY, an international cohort study of consecutive patients with severe isolated functional tricuspid regurgitation (33 centres, 10 countries), survival rates up to 10 years were compared between patients who underwent isolated tricuspid valve surgery (repair or replacement) and those conservatively managed, overall and according to TRI-SCORE category (low: ≤3, intermediate: 4–5, and high: ≥6). Results One thousand and two hundred seventeen were managed conservatively, and 551 underwent isolated tricuspid valve surgery (200 repairs and 351 replacements). TRI-SCORE distribution was 33% low, 32% intermediate, and 35% high. At 10 years, survival rates were similar between surgical and conservative management [41% vs. 36%; hazard ratio (HR) .97; 95% confidence interval (CI) .88–1.08, P = .57]. Surgery improved survival compared with conservative management in the low TRI-SCORE category (72% vs. 44%; HR .27; 95% CI .20–.37, P &lt; .0001), but not in the intermediate (36% vs. 37%; HR 1.17; 95%CI .98–1.40, P = .09) or high categories (20% vs. 24%; HR 1.06; 95% CI .91–1.25, P = .45). Both repair and replacement improved survival in the low TRI-SCORE category (84% and 61% vs. 44%; HR .11; 95% CI .06–.19, P &lt; .0001, and HR .65; 95% CI .47–.90, P = .009). Repair showed benefit in the intermediate category (59% vs. 37%; HR .49; 95% CI .35–.68, P &lt; .0001) while replacement was possibly harmful (25% vs. 37%; HR 1.43; 95% CI 1.18–1.72, P = .0002). Conclusions Higher survival rates were observed with repair than replacement and benefit of intervention declined as TRI-SCORE increased with no benefit of any type of surgery in the high TRI-SCORE category. These results emphasize the importance of timely intervention and patient selection to achieve the best outcomes and the need for randomized controlled trials.

Abstract Objective To identify and disseminate research priorities for the headache field that should be areas of research focus during the next 10 years. Background Establishing research priorities helps focus and synergize the work of headache investigators, allowing them to reach the most important research goals more efficiently and completely. Methods The Headache Research Priorities organizing and executive committees and working group chairs led a multistakeholder and international group of experts to develop headache research priorities. The research priorities were developed and reviewed by clinicians, scientists, people with headache, representatives from headache organizations, health‐care industry representatives, and the public. Priorities were revised and finalized after receiving feedback from members of the research priorities working groups and after a public comment period. Results Twenty‐five research priorities across eight categories were identified: human models, animal models, pathophysiology, diagnosis and management, treatment, inequities and disparities, research workforce development, and quality of life. The priorities address research models and methods, development and optimization of outcome measures and endpoints, pain and non‐pain symptoms of primary and secondary headaches, investigations into mechanisms underlying headache attacks and chronification of headache disorders, treatment optimization, research workforce recruitment, development, expansion, and support, and inequities and disparities in the headache field. The priorities are focused enough that they help to guide headache research and broad enough that they are widely applicable to multiple headache types and various research methods. Conclusions These research priorities serve as guidance for headache investigators when planning their research studies and as benchmarks by which the headache field can measure its progress over time. These priorities will need updating as research goals are met and new priorities arise.

AbstractLarge language models (LLMs) are transforming the field of natural language processing (NLP). These models offer opportunities for radiologists to make a meaningful impact in their field. NLP is a part of artificial intelligence (AI) that uses computer algorithms to study and understand text data. Recent advances in NLP include the Attention mechanism and the Transformer architecture. Transformer-based LLMs, such as GPT-4 and Gemini, are trained on massive amounts of data and generate human-like text. They are ideal for analysing large text data in academic research and clinical practice in radiology. Despite their promise, LLMs have limitations, including their dependency on the diversity and quality of their training data and the potential for false outputs. Albeit these limitations, the use of LLMs in radiology holds promise and is gaining momentum. By embracing the potential of LLMs, radiologists can gain valuable insights and improve the efficiency of their work. This can ultimately lead to improved patient care.

Background: The incidence of lymphomatous involvement of the central nervous system (CNS) has been increasing in recent years. However, the rarity of the disease has resulted in a scarcity of available data regarding its clinical presentation, natural history, and prognosis. We aimed to investigate the neurological characteristics of uncommon lymphomatous involvements confined to the CNS and to identify key variables that could serve as predictive biomarkers for treatment outcomes. Methods: We identified patients presenting with neurological symptoms and diagnosed with CNS-restricted lymphomatous involvement between 2005 and 2023. Results: We identified 44 cases, 93% of which were diagnosed with primary central nervous system lymphoma (PCNSL) and 7% with intravascular lymphoma. The median time from symptom onset to diagnosis was 47 days (range: 6–573 days), with no statistically significant difference between patients older and younger than 60 years (p = 0.22). The median follow-up time was 1144 days (range: 27–3501 days). Cognitive deterioration was the most common presenting symptom, occurring in 19 out of 44 patients (43%). Brain MRI revealed that lobar lesions were the most frequent location of lesions, found in 24 out of 44 patients (55%). By the end of the study period, 30 patients (68%) had died, with a median survival of 666 days (range: 17–3291 days). Death was significantly more common in patients who experienced relapses (p = 0.04; 95% CI: 0.99–0.03), with these patients having a four times higher chance of death (HR = 4.1; 95% CI: 1.01–16.09). The time to diagnosis significantly correlated with survival (p = 0.02; 95% CI: 0.005–0.54), as did the Eastern Cooperative Oncology Group (ECOG) performance status at the last follow-up (p = 0.006; 95% CI: 0.0012–0.62). Patients aged over 60 years did not exhibit a higher likelihood of death (p = 0.19; HR = 2.3; 95% CI: 0.63–8.61); however, the threshold age at diagnosis for the maximally predicted mortality was 64 years (ROC = 0.73; p = 0.03). Conclusions: Patients had significant delays in diagnosis, affecting patient outcomes. Cognitive deterioration and lobar lesions were prominent clinical and radiological features. Mortality was notably higher in patients with relapses and those who had a longer time to diagnosis.

Abstract Aim To explore the effect of Mankai, a cultivated aquatic duckweed green plant, on postprandial glucose (PG) excursions in type 2 diabetes (T2D). Methods In a 4‐week, randomized crossover‐controlled trial, we enrolled 45 adults with T2D (HbA1c range: 6.5%‐8.5%) from two sites in Israel. Participants were randomized to drink Mankai (200 mL of raw‐fresh‐aquatic plant + 100 mL of water, 40 kcal, ~10 g of dry matter equivalent) or water (300 mL) following dinner, for 2 weeks each, with a 4‐day washout interval, without dietary, physical activity or pharmacotherapy alterations. We used continuous glucose monitoring (CGM) devices. Results Forty patients (adherence rate = 88.5%; 743 person‐intervention‐days, 68.9% men, age = 64 years, HbA1c = 6.8%) completed the study with a consistent diet and complete CGM reads. Only two‐thirds of the individuals responded beneficially to Mankai. Overall, Mankai significantly lowered the PG peak by 19.3% (∆peak = 24.3 ± 16.8 vs. 30.1 ± 18.5 mg/dL; P < .001) and delayed the time‐to‐peak by 20.0% (112.5 [interquartile range: 75‐135] vs. 90 [60‐105] min; P < .001) compared with water. The PG incline and decline slopes were shallower following postdinner Mankai (incline slope: 16.8 vs. water: 29.9 mg/[dL h]; P < .001; decline slope: −6.1 vs. water: −7.9 mg/[dL h]; P < .01). Mean postprandial net incremental area‐under‐the‐glucose‐curve was lowered by 20.1% with Mankai compared with water ( P = .03). Results were consistent across several sensitivity and subgroup analyses, including across antidiabetic pharmacotherapy treatment groups. Within 2 weeks, the triglycerides/high‐density lipoprotein cholesterol ratio in the Mankai group (−0.5 ± 1.3) decreased versus water (+0.3 ± 1.5, P = .05). Conclusions Mankai consumption may mitigate the PG response in people with T2D with an ~20% improvement in glycaemic values. These findings provide case‐study evidence for plant‐based treatments in T2D to complement a healthy lifestyle and pharmacotherapy.

80 Background: Disparities in health outcomes exist among racial and ethnic groups in the United States, notably in patients with colon cancer. Metastasis is the primary cause of cancer morbidity and mortality. However, data on the metastasis risks and clinical outcomes on hospitalized individuals with colon cancer is still limited. Therefore, we aim to assess the association between metastatic colon cancer and racial differences. Methods: We analyzed the 2020 U.S. National Inpatient Sample (NIS) to explore patients who have colon cancer as the primary diagnosis. Additionally, we identified evidence of metastasis, as recorded by ICD-10-CM. Adjusted odds ratios (aORs) for specified outcomes were calculated through multivariable logistic and linear regression analyses. The primary outcome was racial differences in organ metastasis and secondary outcomes included mortality and length of stay. Statistical significance was established at p-value of 0.05. Results: We identified 80,130 patients with primary diagnosis of colon cancer at discharge. The mean age was 67.4 years; 49.7% were female. Caucasians accounted for 69.3%, with African Americans at 13.3% and Hispanics at 8.2%. 15% of the patients had liver metastasis, whereas 22% had lung metastasis. In a multivariate analysis adjusting for patient, COVID-19, chemotherapy usage and hospital factors, African Americans had higher risk of lung metastasis (aOR 1.22; 95%CI (1.07, 1.40), p = 0.003), higher risk of liver metastasis (aOR 1.51; 95%CI (1.31, 1.74), p = 0.021) and longer length of stay (b = 0.95; 95%CI (0.56, 1.33), p = 0.001). Hispanics also had higher risk of lung (aOR 1.22, p < 0.05) and liver metastasis (aOR 1.24, p = 0.021). We observed an increase in risk of metastasis and mortality but non-statistically significant in some parameters and races, as shown in table provided. Conclusions: In conclusion, our study revealed that racial difference is associated with higher risk of metastasis, as well as other outcomes. To establish a causal relationship between races, metastasis, and mortality in patients with colon cancer, further longitudinal research is necessary. [Table: see text]