AI-Safe-C Score: Assessing Liver-Related Event Risks in Non-Cirrhotic Patients after Successful Direct-Acting Antiviral Treatment.

BACKGROUND & AIMS: Direct-acting antivirals (DAAs) have considerably improved chronic hepatitis C (HCV) treatment; however, post-sustained virological response (SVR) follow-up typically neglects the risk of liver-related events (LREs). This study introduces and validates artificial intelligence-safe score (AI-Safe-C score) to assess the risk of LREs in non-cirrhotic patients after successful DAA treatment. METHODS: The random survival forest model was trained to predict LREs in 913 non-cirrhotic HCV patients after SVR in Korea and was further tested in a combined cohort from Hong Kong and France (N = 1264). The model's performance was assessed using Harrell's C-index and the area under the time-dependent receiver operating characteristic curve (AUROC). RESULTS: The AI-Safe-C score, which incorporated liver stiffness measurement (LSM), age, sex, and six other biochemical tests-with LSM being ranked as the most important among 9 clinical features-demonstrated a C-index of 0.86 (95% confidence interval [CI]: 0.82-0.90) in predicting LREs in an external validation cohort. It achieved 3- and 5-year LRE AUROCs of 0.88 (95%CI, 0.84-0.92) and 0.79 (95%CI, 0.71-0.87), respectively, and for hepatocellular carcinoma, a C-index of 0.87 (95%CI, 0.81-0.92) with 3- and 5-year AUROCs of 0.88 (95%CI, 0.84-0.93) and 0.82 (95%CI, 0.75-0.90), respectively. Using a cut-off of 0.7, the 5-year LRE rate within a high-risk group was between 3.2% and 6.2%, mirroring the incidence observed in individuals with advanced fibrosis, in stark contrast to the significantly lower incidence of 0.2% to 0.6% in a low-risk group. CONCLUSION: AI-Safe-C score is a useful tool for identifying patients without cirrhosis who are at higher risk of developing LREs. The post-SVR LSM, as integrated within the AI-Safe-C score, plays a critical role in predicting future LREs. IMPACT AND IMPLICATIONS: The AI-Safe-C score introduces a paradigm shift in the management of non-cirrhotic patients post-DAA treatment, a cohort traditionally not included in routine surveillance protocols for LREs. By accurately identifying a subgroup at a comparably high risk of LREs, akin to those with advanced fibrosis, this predictive model facilitates a strategic reallocation of surveillance and clinical resources.

A machine learning model to predict liver-related outcomes after the functional cure of chronic hepatitis B.

BACKGROUND & AIMS: The risk of hepatocellular carcinoma (HCC) and hepatic decompensation persists after hepatitis B surface antigen (HBsAg) seroclearance. This study aimed to develop and validate a machine learning model to predict the risk of liver-related outcomes (LROs) following HBsAg seroclearance. METHODS: A total of 4,787 consecutive patients who achieved HBsAg seroclearance between 2000 and 2022 were enrolled from 6 centers in South Korea and a territory-wide database in Hong Kong, comprising the training (n=944), internal validation (n=1,102), and external validation (n=2,741) cohorts. Three machine learning-based models were developed and compared in each cohort. The primary outcome was the development of any LRO, including HCC, decompensation, and liver-related death. RESULTS: During a median follow-up of 55.2 (interquartile range=30.1-92.3) months, 123 LROs were confirmed (1.1%/person-year) in the Korean cohort. A model with the best predictive performance in the training cohort was selected as the final model (designated as PLAN-B-CURE), which was constructed using a gradient boosting algorithm and 7 variables (age, sex, diabetes, alcohol consumption, cirrhosis, albumin, and platelet count). Compared to previous HCC prediction models, PLAN-B-CURE showed significantly superior accuracy in the training cohort (c-index: 0.82 vs. 0.63-0.70, all P<0.001; area under the receiver operating characteristic curve: 0.86 vs. 0.62-0.72, all P<0.01; area under the precision-recall curve: 0.53 vs. 0.13-0.29, all P<0.01). PLAN-B-CURE showed a reliable calibration function (Hosmer-Lemeshow test P>0.05) and these results were reproduced in the internal and external validation cohorts. CONCLUSION: This novel machine learning model consisting of 7 variables provides reliable risk prediction of LRO after HBsAg seroclearance that can be used for personalized surveillance.

Dynamic Changes in ELF Score Predict Hepatocellular Carcinoma in Chronic Hepatitis B Patients Receiving Antiviral Treatment.

Enhanced liver fibrosis (ELF) score is a noninvasive assessment for liver fibrosis. We aimed to evaluate the performance of changes in ELF score 3 years apart in combination with liver stiffness measurement (LSM)-hepatocellular carcinoma (HCC) score to predict HCC in chronic hepatitis B (CHB) patients. This is a prospective cohort study. Patients who underwent transient elastography (TE) examinations and at intermediate or high risk of HCC defined by LSM-HCC score were invited to repeat the examination about 3 years later. Their serum samples at these two time points were retrieved to assess the ELF score changes. The primary endpoint was HCC. There were 445 CHB patients (males: 73.9%; mean age: 51.6 ± 10.3 years) who received two TE examinations and ELF scores. Among them, 252 (56.6%) and 193 (43.4%) patients were at intermediate and high HCC risk at first assessment defined by LSM-HCC score, respectively. Kaplan-Meier analysis showed that the changes in ELF score could stratify the HCC risk in both intermediate- and high-risk patients defined by LSM-HCC score (p < 0.001 for intermediate-risk group; p = 0.011 for high-risk group). Patients remained having mild or moderate fibrosis at both assessments had the lowest risk of HCC (4.0%), followed by patients with fibrosis regressed (11.3%; p = 0.014) during a mean follow-up of 163 months. Patients remained having or progressed to severe fibrosis were at highest risk of HCC (>20%). Consistent findings were demonstrated in patients at both intermediate and high risk of HCC defined by LSM-HCC score. Dynamic changes in ELF score provided additional value to LSM-HCC score for stratifying HCC risk in CHB patients.

Baseline Viral Load and On-treatment Hepatocellular Carcinoma Risk in Chronic Hepatitis B: A Multinational Cohort Study.

BACKGROUND & AIMS: Hepatocellular carcinoma (HCC) risk persists in patients with chronic hepatitis B (CHB) despite antiviral therapy. The relationship between pre-treatment baseline hepatitis B virus (HBV) viral load and HCC risk during antiviral treatment remains uncertain. METHODS: This multinational cohort study aimed to investigate the association between baseline HBV viral load and on-treatment HCC risk in 20,826 noncirrhotic, hepatitis B e antigen (HBeAg)-positive and HBeAg-negative patients with baseline HBV DNA levels ≥2000 IU/mL (3.30 log10 IU/mL) who initiated entecavir or tenofovir treatment. The primary outcome was on-treatment HCC incidence, stratified by baseline HBV viral load as a categorical variable. RESULTS: In total, 663 patients developed HCC over a median follow-up of 4.1 years, with an incidence rate of 0.81 per 100 person-years (95% confidence interval [CI], 0.75-0.87). Baseline HBV viral load was significantly associated with HCC risk in a non-linear parabolic pattern, independent of other factors. Patients with baseline viral load between 6.00 and 7.00 log10 IU/mL had the highest on-treatment HCC risk (adjusted hazard ratio, 4.28; 95% CI, 2.15-8.52; P < .0001) compared with those with baseline viral load ≥8.00 log10 IU/mL, who exhibited the lowest HCC risk. CONCLUSION: Baseline viral load showed a significant, non-linear, parabolic association with HCC risk during antiviral treatment in noncirrhotic patients with CHB. Early initiation of antiviral treatment based on HBV viral load may help prevent irreversible HCC risk accumulation in patients with CHB.

Role of Early On-Treatment Serum HBV RNA Declines in Predicting Hepatocellular Carcinoma Risk in Patients With Chronic Hepatitis B.

BACKGROUND AND AIMS: Hepatocellular carcinoma (HCC) risk prediction models established in patients with chronic hepatitis B receiving a nucleos(t)ide analogue (NA) rarely include viral factors because of mediocre predictability of traditional viral markers. Here, we investigate the role of serum hepatitis B virus (HBV) RNA, a novel biomarker, in predicting HCC risk in NA-treated patients. METHODS: A total of 1374 NA-treated patients were enrolled from 2 prospective chronic hepatitis B cohorts. Serum HBV RNA was detected at baseline, year 1, 2 and 3 of treatment. Cox proportional-hazard model was used to investigate the association of HBV RNA kinetics with HCC risk. RESULTS: After a median follow-up of 5.4 years, 76 patients developed HCC. HBV RNA declines at year 1 (adjusted hazard ratio, 0.70, P = .009) and 2 (adjusted hazard ratio, 0.71; P = .016) were independently associated with HCC risk. Patients with less HBV RNA decline at year 1 (≤0.4 log10 copies/mL) or 2 (≤0.6 log10 copies/mL) had 2.22- and 2.09-folds higher HCC risk, respectively, than those with more declines. When incorporating these early on-treatment HBV RNA declines into existing HCC risk scores, including PAGE-B (age, sex, and platelets), modified PAGE-B (mPAGE-B) (age, sex, platelets, and albumin), and aMAP (age, sex, platelets, and albumin-bilirubin score) score, they could enhance their predictive performance (ie, C-index 0.814 vs 0.78 [model (PAGE-B + year-1 HBV RNA decline) vs PAGE-B score based on baseline parameters]). CONCLUSIONS: Serum HBV RNA declines at year 1 and 2 were significantly associated with on-treatment HCC risk. Incorporating early on-treatment HBV RNA declines into HCC risk prediction models can be useful tools to guide appropriate surveillance strategies in NA-treated patients.

Crosstalk between breast cancer-derived microRNAs and brain microenvironmental cells in breast cancer brain metastasis.

Breast cancer is the most frequent malignancy in women, constituting 15.2% of all new cancers diagnosed in the United States. Distant breast cancer metastasis accounts for the majority of breast cancer-related deaths; brain metastasis is the third most common site for metastatic breast cancer but is associated with worst prognosis of approximately eight months of survival. Current treatment options for breast cancer brain metastasis (BCBM) are limited and ineffective. To help identify new and effective therapies for BCBM, it is important to investigate the mechanisms by which breast cancer cells metastasize to the brain and thrive in the brain microenvironment. To this end, studies have reported that primary breast tumor cells can prime brain microenvironmental cells, including, astrocytes and microglia, to promote the formation of BCBM through the release of extracellular vesicle-microRNAs (miRNAs). Breast tumor-derived miRNAs can also promote breast cancer cell invasion through the blood-brain barrier by disrupting the integrity of the brain microvascular endothelial cells. In this review, we summarize current literature on breast cancer-derived BCBM-promoting miRNAs, cover their roles in the complex steps of BCBM particularly their interactions with microenvironmental cells within the brain metastatic niche, and finally discuss their therapeutic applications in the management of BCBM.

Lipid control and stroke risk in atrial fibrillation patients treated with direct oral anticoagulants and statins.

INTRODUCTION: The risk of ischemic stroke and intracerebral hemorrhage (ICH) with intensive lipid control by statins among patients with atrial fibrillation (AF) who require direct oral anticoagulants (DOAC) is unclear. We aimed to determine the risks of ischemic stroke and ICH in AF patients treated with DOAC and statins. PATIENTS AND METHODS: In a population-based retrospective cohort study, we identified AF patients concurrently on DOAC and statins from 2015 to 2021 in Hong Kong. Primary outcome was ischemic stroke. Secondary outcomes were ICH and death. We correlated study outcomes with low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C) as time-varying, continuous variables with restricted cubic spline. In secondary analyses, the risks of study outcomes with statin intensity (low, moderate, high) were determined by multivariable time-dependent marginal structural Cox models. RESULTS: We identified 32,752 AF patients co-prescribed with DOAC and statins. Lower LDL-C (p < 0.001) and higher HDL-C (p < 0.001) levels were associated with lower risk of ischemic stroke but not significantly associated with ICH. LDL-C of <1.8 mmol/L (70 mg/dL) was not associated with mortality (19.6% vs 18.4%, difference 1.2% [95% CI -0.35 to 2.13]). High-intensity statin was associated with a lower risk of ischemic stroke compared with low-intensity statin (weighted Cox-specific hazard ratio [95% CI]: 0.82 [0.67-0.99], p = 0.040) independent of LDL-C levels. Similar associations were found in 11,444 AF patients with a history of ischemic stroke. DISCUSSION AND CONCLUSION: Intensive lipid control by high-intensity statins was associated with a lower risk of ischemic stroke in AF patients who required DOACs and did not appear to increase the risk of ICH.

Oral health status and oral health-related quality of life: a cross-sectional study of clients in an Australian opioid treatment program.

Background Individuals with opioid dependence often experience poor oral health, including dental decay, periodontal disease and mucosal infection, frequently exacerbated by factors such as smoking, alcohol consumption, inadequate oral hygiene and low utilisation of oral health services. This study aimed to assess oral health status and oral health-related quality of life (OHRQoL) among opioid-dependent individuals and explore their potential associations. Methods Participants enrolled in an opioid treatment program (OTP) at three Australian urban clinics were assessed using the validated Oral Health Assessment Tool (OHAT) and Oral Health Impact Profile (OHIP-14). Results The average age of the 75 participants was 44.7years, with 45% receiving opioid treatment for over 5years. Dental decay and inadequate oral hygiene were prevalent. Mean OHAT and OHIP-14 scores were 6.93 and 20.95 respectively, indicating moderate oral health severity and poor OHRQoL. Physical pain and psychological discomfort significantly impacted participants' quality of life, with the effects being particularly pronounced for those aged 30 and above. An exploratory analysis revealed a strong correlation between OHAT and OHIP-14 severity scores, with a one-point increase in OHAT associated with 1.85times higher odds of a lower OHRQoL (odds ratio=1.85, 95% confidence interval: 1.38-2.49, P = Conclusions These findings underscore the multifaceted impact of oral health on the well-being of OTP clients. Routine dental check-ups, education on oral hygiene practices and timely treatment for oral health problems are crucial recommendations based on this study. Such measures hold the potential to enhance the quality of life for individuals attending OTPs.

Long-term liver-related outcomes and liver stiffness progression of statin usage in steatotic liver disease.

BACKGROUND: Statins have multiple benefits in patients with metabolic-associated steatotic liver disease (MASLD). AIM: To explore the effects of statins on the long-term risk of all-cause mortality, liver-related clinical events (LREs) and liver stiffness progression in patients with MASLD. METHODS: This cohort study collected data on patients with MASLD undergoing at least two vibration-controlled transient elastography examinations at 16 tertiary referral centres. Cox regression analysis was performed to examine the association between statin usage and long-term risk of all-cause mortality and LREs stratified by compensated advanced chronic liver disease (cACLD): baseline liver stiffness measurement (LSM) of ≥10 kPa. Liver stiffness progression was defined as an LSM increase of ≥20% for cACLD and from <10 kPa to ≥10 or LSM for non-cACLD. Liver stiffness regression was defined as LSM reduction from ≥10 kPa to <10 or LSM decrease of ≥20% for cACLD. RESULTS: We followed up 7988 patients with baseline LSM 5.9 kPa (IQR 4.6-8.2) for a median of 4.6 years. At baseline, 40.5% of patients used statins, and cACLD was present in 17%. Statin usage was significantly associated with a lower risk of all-cause mortality (adjusted HR=0.233; 95% CI 0.127 to 0.426) and LREs (adjusted HR=0.380; 95% CI 0.268 to 0.539). Statin usage was also associated with lower liver stiffness progression rates in cACLD (HR=0.542; 95% CI 0.389 to 0.755) and non-cACLD (adjusted HR=0.450; 95% CI 0.342 to 0.592), but not with liver stiffness regression (adjusted HR=0.914; 95% CI 0.778 to 1.074). CONCLUSIONS: Statin usage was associated with a relatively lower long-term risk of all-cause mortality, LREs and liver stiffness progression in patients with MASLD.

A pilot integrated model nurse clinic increases the uptake of antiviral treatment for the prevention of mother-to-child transmission of HBV.

BACKGROUND AND AIMS: Mother-to-child-transmission (MTCT) of hepatitis B virus (HBV) may still occur despite birth-dose HBV vaccinations when pregnant women are positive for hepatitis B surface antigen (HBsAg) with high viral loads (HBV DNA ≥ 200 000 IU/mL). A pilot integrated model nurse clinic (IMNC) was started in 2020 to implement the pre-emptive antiviral therapy with tenofovir disoproxil fumarate (TDF). We aimed to evaluate the performance of IMNC on uptake of TDF. METHODS: This was a territory-wide retrospective cohort of all consecutive HBsAg-positive women of child-bearing age with pregnancy records in public hospitals 2019-2022. Demographic characteristics, liver biochemistries and virologic parameters, and TDF use were collected. Concurrently, data from a prospective audit in Union Hospital, the private hospital with the highest number of deliveries in Hong Kong, from June 2022 to May 2023 were compared. RESULTS: The prevalence rate of HBV DNA ≥ 200 000 IU/mL in pregnant women with available HBV DNA records was 29.2% (66/226) in 2019, 27.3% (99/363) in 2020, 15.9% (125/784) in 2021 and 17.2% (117/679) in 2022 (p < .001), out of 2052 pregnant women who had their HBV DNA checked within 1 year prior to delivery. An increasing uptake rate of TDF by highly viraemic pregnant women (i.e. ≥ 200 000 IU/mL) was noted after the commencement of IMNC in public hospitals, with 67% (45/67) in 2019, 83% (88/106) in 2020, 91% (117/128) in 2021 and 89% (149/167) in 2022. Moreover, all highly viraemic pregnant women from Union Hospital received TDF. Continuous use of TDF was associated with a reduced risk of postpartum biochemical flare. CONCLUSIONS: IMNC increases the uptake of antiviral treatment in pregnant women at risk of MTCT of HBV. IMNC contributes to hepatitis elimination through a structured care plan to prevent MTCT of HBV.

AI-powered prediction of HCC recurrence after surgical resection: Personalised intervention opportunities using patient-specific risk factors.

BACKGROUND: Hepatocellular carcinoma (HCC) recurrence following surgical resection remains a significant clinical challenge, necessitating reliable predictive models to guide personalised interventions. In this study, we sought to harness the power of artificial intelligence (AI) to develop a robust predictive model for HCC recurrence using comprehensive clinical datasets. METHODS: Leveraging data from 958 patients across multiple centres in Australia and Hong Kong, we employed a multilayer perceptron (MLP) as the optimal classifier for model generation. RESULTS: Through rigorous internal cross-validation, including a cohort from the Chinese University of Hong Kong (CUHK), our AI model successfully identified specific pre-surgical risk factors associated with HCC recurrence. These factors encompassed hepatic synthetic function, liver disease aetiology, ethnicity and modifiable metabolic risk factors, collectively contributing to the predictive synergy of our model. Notably, our model exhibited high accuracy during cross-validation (.857 ± .023) and testing on the CUHK cohort (.835), with a notable degree of confidence in predicting HCC recurrence within accurately classified patient cohorts. To facilitate clinical application, we developed an online AI digital tool capable of real-time prediction of HCC recurrence risk, demonstrating acceptable accuracy at the individual patient level. CONCLUSION: Our findings underscore the potential of AI-driven predictive models in facilitating personalised risk stratification and targeted interventions to mitigate HCC recurrence by identifying modifiable risk factors unique to each patient. This model aims to aid clinicians in devising strategies to disrupt the underlying carcinogenic network driving recurrence.

Outpatient treatment of decompensated heart failure: A systematic review and study level meta-analysis.

Patients with acutely decompensated heart failure (ADHF) are usually admitted to hospital for management. There is growing interest in delivering intravenous (IV) diuretic therapy at home, in the community or at hospital day-care units; the safety and effectiveness of outpatient-based management (OPM) for ADHF has not been established. We conducted a systematic literature review and meta-analysis to investigate the short-term safety and effectiveness of OPM compared with inpatient management (IPM) of ADHF. Pre-specified endpoints were 30 day mortality and 30 day hospitalization. The meta-analysis was conducted using RevMan 5.4 software. Twenty-nine studies of OPM were identified, including 7683 patients. Only five studies directly compared OPM (n = 1303) with IPM (n = 2047), including three observational studies, and two randomized controlled trials (RCTs). The other 24 studies only stated OPM outcomes. For the five studies comparing IPM versus OPM, patients were generally aged >75 years and of similar age for each strategy, with a similar proportion of men (56%). In a study-level, aggregate analysis, 30 day all-cause mortality was 9.3% (121/1303) for OPM, compared with 15.6% (320/2047) for IPM [OR 0.29 (95% CI 0.09, 0.93) P = 0.04]. Four studies reported 30 day all-cause hospitalization; 22.0% for IPM versus 16.8% for OPM [OR 0.73 (95% CI 0.61, 0.89), P = 0.001]. In the two RCTs, we found no difference in 30 day mortality or hospitalization. In observational studies, OPM of ADHF is associated with lower 30 day hospitalization and lower 30 day mortality; such differences were not observed in two small, single-centre RCTs. A substantial, multicentre RCT is required to confirm the safety and effectiveness of OPM for ADHF.

Real-world Effectiveness and Tolerability of Interferon-free Direct-acting Antiviral for 15,849 Patients with Chronic Hepatitis C: A Multinational Cohort Study.

Background and Aims: As practice patterns and hepatitis C virus (HCV) genotypes (GT) vary geographically, a global real-world study from both East and West covering all GTs can help inform practice policy toward the 2030 HCV elimination goal. This study aimed to assess the effectiveness and tolerability of DAA treatment in routine clinical practice in a multinational cohort for patients infected with all HCV GTs, focusing on GT3 and GT6. Methods: We analyzed the sustained virological response (SVR12) of 15,849 chronic hepatitis C patients from 39 Real-World Evidence from the Asia Liver Consortium for HCV clinical sites in Asia Pacific, North America, and Europe between 07/01/2014-07/01/2021. Results: The mean age was 62±13 years, with 49.6% male. The demographic breakdown was 91.1% Asian (52.9% Japanese, 25.7% Chinese/Taiwanese, 5.4% Korean, 3.3% Malaysian, and 2.9% Vietnamese), 6.4% White, 1.3% Hispanic/Latino, and 1% Black/African-American. Additionally, 34.8% had cirrhosis, 8.6% had hepatocellular carcinoma (HCC), and 24.9% were treatment-experienced (20.7% with interferon, 4.3% with direct-acting antivirals). The largest group was GT1 (10,246 [64.6%]), followed by GT2 (3,686 [23.2%]), GT3 (1,151 [7.2%]), GT6 (457 [2.8%]), GT4 (47 [0.3%]), GT5 (1 [0.006%]), and untyped GTs (261 [1.6%]). The overall SVR12 was 96.9%, with rates over 95% for GT1/2/3/6 but 91.5% for GT4. SVR12 for GT3 was 95.1% overall, 98.2% for GT3a, and 94.0% for GT3b. SVR12 was 98.3% overall for GT6, lower for patients with cirrhosis and treatment-experienced (TE) (93.8%) but ≥97.5% for treatment-naive patients regardless of cirrhosis status. On multivariable analysis, advanced age, prior treatment failure, cirrhosis, active HCC, and GT3/4 were independent predictors of lower SVR12, while being Asian was a significant predictor of achieving SVR12. Conclusions: In this diverse multinational real-world cohort of patients with various GTs, the overall cure rate was 96.9%, despite large numbers of patients with cirrhosis, HCC, TE, and GT3/6. SVR12 for GT3/6 with cirrhosis and TE was lower but still excellent (>91%).

Role of noninvasive tests in the prognostication of metabolic dysfunction-associated steatotic liver disease.

In managing metabolic dysfunction-associated steatotic liver disease, which affects over 30% of the general population, effective noninvasive biomarkers for assessing disease severity, monitoring disease progression, predicting the development of liver-related complications, and assessing treatment response are crucial. The advantage of simple fibrosis scores lies in their widespread accessibility through routinely performed blood tests and extensive validation in different clinical settings. They have shown reasonable accuracy in diagnosing advanced fibrosis and good performance in excluding the majority of patients with a low risk of liver-related complications. Among patients with elevated serum fibrosis scores, a more specific fibrosis and imaging biomarker has proved useful to accurately identify patients at risk of liver-related complications. Among specific fibrosis blood biomarkers, enhanced liver fibrosis is the most widely utilized and has been approved in the United States as a prognostic biomarker. For imaging biomarkers, the availability of vibration-controlled transient elastography has been largely improved over the past years, enabling the use of liver stiffness measurement (LSM) for accurate assessment of significant and advanced fibrosis, and cirrhosis. Combining LSM with other routinely available blood tests enhances the ability to diagnose at-risk metabolic dysfunction-associated steatohepatitis; and predict liver-related complications, some reaching an accuracy comparable to that of liver biopsy. Magnetic resonance imaging-based modalities provide the most accurate quantification of liver fibrosis, though the current utilization is limited to research settings. Expanding their future use in clinical practice depends on factors such as cost and facility availability.

Evaluating pre-and post-oral health literacy of undergraduate nursing students on an oral-systemic health learning intervention.

INTRODUCTION: Oral health is significantly linked with systemic health. Nurses play a crucial role in patient education. Improving oral health literacy in nursing students can pave the way for the seamless integration of oral health into nursing practice. OBJECTIVE: This study aimed to evaluate an interprofessional co-designed oral-systemic health learning intervention using a pre-and-post study design that measured oral health literacy levels among Year 2 undergraduate nursing students. METHODS: Evaluation was measured using the validated Comprehensive Measure of Oral Health Knowledge questionnaire before and after the semester-long education intervention. Data were analyzed using independent and paired t-tests and an analysis of variance one-way analysis of variance. RESULTS: A total of 78 out of 164 students (82% female, 42% aged 21-24, and 52% speaking English as a first language) participated in the pre- and post-study surveys. Statistically significant improvement was noted in pre-and-post total oral health literacy scores (Pre 14.92 [3.85] vs.. Post 15.85 [3.74], p = 0.031). Students showed the highest proficiency in the domain of oral disease prevention, while oral cancer knowledge was the least mastered domain. Those without English as their first language and those with secondary education as the highest qualification showed the greatest improvement in oral health literacy scores post-intervention. CONCLUSIONS: This study highlights the efficacy of an interprofessional co-designed oral-systemic educational intervention in increasing oral health literacy among undergraduate nursing students. This intervention marks a preliminary step towards integrating oral health into future nursing practice. Further research is warranted to explore the enduring impact of these interventions on their future clinical endeavors.

Effectiveness of implementation strategies for increasing clinicians' use of five validated imaging decision rules for musculoskeletal injuries: a systematic review.

BACKGROUND: Strategies to enhance clinicians' adherence to validated imaging decision rules and increase the appropriateness of imaging remain unclear. OBJECTIVE: To evaluate the effectiveness of various implementation strategies for increasing clinicians' use of five validated imaging decision rules (Ottawa Ankle Rules, Ottawa Knee Rule, Canadian C-Spine Rule, National Emergency X-Radiography Utilization Study and Canadian Computed Tomography Head Rule). DESIGN: Systematic review. METHODS: The inclusion criteria were experimental, quasi-experimental study designs comprising randomised controlled trials (RCTs), non-randomised controlled trials, and single-arm trials (i.e. prospective observational studies) of implementation interventions in any care setting. The search encompassed electronic databases up to March 11, 2024, including MEDLINE (via Ovid), CINAHL (via EBSCO), EMBASE (via Ovid), Cochrane CENTRAL, Web of Science, and Scopus. Two reviewers assessed the risk of bias of studies independently using the Cochrane Effective Practice and Organization of Care Group (EPOC) risk of bias tool. The primary outcome was clinicians' use of decision rules. Secondary outcomes included imaging use (indicated, non-indicated and overall) and knowledge of the rules. RESULTS: We included 22 studies (5-RCTs, 1-non-RCT and 16-single-arm trials), conducted in emergency care settings in six countries (USA, Canada, UK, Australia, Ireland and France). One RCT suggested that reminders may be effective at increasing clinicians' use of Ottawa Ankle Rules but may also increase the use of ankle radiography. Two RCTs that combined multiple intervention strategies showed mixed results for ankle imaging and head CT use. One combining educational meetings and materials on Ottawa Ankle Rules reduced ankle injury imaging among ED physicians, while another, with similar efforts plus clinical practice guidelines and reminders for the Canadian CT Head Rule, increased CT imaging for head injuries. For knowledge, one RCT suggested that distributing guidelines had a limited short-term impact but improved clinicians' long-term knowledge of the Ottawa Ankle Rules. CONCLUSION: Interventions such as pop-up reminders, educational meetings, and posters may improve adherence to the Ottawa Ankle Rules, Ottawa Knee Rule, and Canadian CT Head Rule. Reminders may reduce non-indicated imaging for knee and ankle injuries. The uncertain quality of evidence indicates the need for well-conducted RCTs to establish effectiveness of implementation strategies.