Risultati per: Raccomandazioni sullo screening del diabete per gli adulti

This randomized clinical trial evaluates the effects of Helicobacter pylori stool antigen assessment plus fecal immunochemical testing (FIT), vs FIT alone, on gastric cancer incidence and mortality among adults in Taiwan.

In Reply Our study adjusted the FIT cutoff to yield the same overall positivity rate as reported for the mt-sRNA test (17%) to enhance comparability of diagnostic performance of both tests. Below we address each of the 3 points made by Drs Yang and Ma.

Circulation, Volume 150, Issue 21, Page 1656-1658, November 19, 2024.

Circulation, Volume 150, Issue 21, Page 1741-1744, November 19, 2024.

I moderni dispositivi permettono di adattare la terapia insulinica alle esigenze individuali di ciascun paziente, migliorando l’efficacia del trattamento

Cherubini (Siedp) “evitabili in oltre 450 bimbi ogni anno”

The absolute number of annual cases of gastric cancer in Europe is rising. The Council of the European Union has recommended implementation of gastric cancer screening for countries or regions with a high gastric cancer incidence and death rates. However, as of 2024 no organised gastric cancer screening programme has been launched in Europe.
There are several ways to decrease gastric cancer burden, but the screen and treat strategy for Helicobacter pylori (H. pylori) seems to be the most appropriate for Europe. It has to be noted that increased use of antibiotics would be associated with this strategy.
Only organised population-based cancer screening is recommended in the European Union, therefore gastric cancer screening also is expected to fulfil the criteria of an organised screening programme. In this respect, several aspects of screening organisation need to be considered before full implementation of gastric cancer prevention in Europe; the age range of the target group, test types, H. pylori eradication regimens and surveillance strategies are among them. Currently, ongoing projects (GISTAR, EUROHELICAN, TOGAS and EUCanScreen) are expected to provide the missing evidence. Feedback from the decision-makers and the potential target groups, including vulnerable populations, will be important to planning the programme.
This paper provides an overview of the recent decisions of the European authorities, the progress towards gastric cancer implementation in Europe and expected challenges. Finally, a potential algorithm for gastric cancer screening in Europe is proposed.

Hepatocellular carcinoma (HCC) is a significant global health problem, and its incidence is expected to exceed 1 million new HCC annually by 2025.1 The reported 3-year survival rate for advanced-stage HCC is less than 17%, while 70% of patients diagnosed with early-stage HCC can achieve 5-year survival.2 Despite well-established guidelines and the clear benefits of early detection, the meta-analysis results (29 papers, 1 18 799 patients) showed that only 24% of individuals at risk for developing HCC were screened.3 Efforts to surmount barriers at patient, provider and healthcare levels have shown a minimal screening rate increase over time.3 4 One of the reasons for the disappointing results might be the fact that authors focused on individual barriers, rather than considering the screening failure the result of the interplay of different factors. Additionally, the published studies have the following limitations, detailed reasons for…

Background
Hepatocellular carcinoma (HCC) is plagued by failures across the cancer care continuum, leading to frequent late-stage diagnoses and high mortality. We evaluated the effectiveness of mailed outreach invitations plus patient navigation to promote HCC screening process completion in patients with cirrhosis.

Methods
Between April 2018 and September 2021, we conducted a multicentre pragmatic randomised clinical trial comparing mailed outreach plus patient navigation for HCC screening (n=1436) versus usual care with visit-based screening (n=1436) among patients with cirrhosis at three US health systems. Our primary outcome was screening process completion over a 36-month period, and our secondary outcome was the proportion of time covered (PTC) by screening. All patients were included in intention-to-screen analyses.

Results
All 2872 participants (median age 61.3 years; 32.3% women) were included in intention-to-screen analyses. Screening process completion was observed in 6.6% (95% CI: 5.3% to 7.9%) of patients randomised to outreach and 3.3% (95% CI: 2.4% to 4.3%) of those randomised to usual care (OR 2.05, 95% CI: 1.44 to 2.92). The intervention increased HCC screening process completion across most subgroups including age, sex, race and ethnicity, Child-Turcotte-Pugh class and health system. PTC was also significantly higher in the outreach arm than usual care (mean 37.5% vs 28.2%; RR 1.33, 95% CI: 1.31 to 1.35). Despite screening underuse, most HCC in both arms were detected at an early stage.

Conclusion
Mailed outreach plus navigation significantly increased HCC screening process completion versus usual care in patients with cirrhosis, with a consistent effect across most examined subgroups. However, screening completion remained suboptimal in both arms, underscoring a need for more intensive interventions.

Trial registration number
NCT02582918.

Circulation, Volume 150, Issue Suppl_1, Page A4144583-A4144583, November 12, 2024. Donor-derived cell-free DNA (dd-cfDNA) has been increasingly used to detect acute rejection (AR). We aimed to compare our institutional dd-cfDNA results to previously published adult and pediatric dd-cfDNA AR cutoffs. We also hypothesized that in the absence of AR, elevated dd-cfDNA would be associated with CAV and positive DSA.Patients (pt) < 18 years at transplant with >1 dd-cfDNA between 2021-2023 were included. Using dd-cfDNA levels from this cohort, sensitivity, specificity, NPV, and PPV were calculated. False positives and false negatives (FN) were determined using published dd-cfDNA thresholds. AR was defined as decision-to-treat with increased immunosuppression, which was independent of dd-cfDNA in our cohort. In pt without AR,t-test was used to compare the means of dd-cfDNA levels in pt with and without DSA. χ2testing was then performed to evaluate the association between dd-cfDNA levels above and below 0.2% and the presence/absence of DSA and CAV. DSA was defined as allele-specific DSA identified by single antigen bead with mean fluorescence intensity >1000, and CAV as any disease by angiography.There were 379 samples among 163 pt, a median of 2 samples per pt, and 32 samples obtained at time of AR. Performance of dd-cfDNA in our cohort vs published dd-cfDNA thresholds is shown in Table 1. The FN rate ranged from 16 to 37% as the dd-cfDNA threshold increased. Mean dd-cfDNA was higher in patients with positive DSA versus those without (0.83% vs 0.19%, p0.2% were associated with a higher prevalence of positive DSA (n=66) (48% vs 13%, p

Circulation, Volume 150, Issue Suppl_1, Page A4145826-A4145826, November 12, 2024. Background:Previous studies have shown that AF screening in at-risk populations can reduce stroke incidence. However, non-targeted screening approaches often result in high false positive rates, placing an unnecessary burden on the healthcare system. In contrast, artificial intelligence-guided screening has been demonstrated to increase diagnostic yield in large prospective clinical trials. This approach, however, requires recording an ECG and a large-scale dataset for model training. Heart rate variability (HRV) analysis has proven effective in deciphering key heart dynamics. By analyzing HRV as interrelated dynamic systems, it may be possible to facilitate targeted AF screening using wearable devices that measure heart rate.The Koopman operator, used for data-driven modeling of interrelated dynamic systems, has been shown to accurately predict complex phenomena in chaotic systems such as climate forecasting and drug adverse reaction prediction. This is achieved by utilizing common characteristics of the systems for most model parameters, with only a small fraction of the parameters being specific to a certain system.Methods:Long ( >10 hour) records from 361 individuals (AFDB, LTAFDB) and healthy individuals’ datasets from PhysioNet and THEW were analyzed for inter-beat intervals. The unified dataset was then split into 94 training, 17 validation, and 250 test set patients. Recordings from the training set were used to train both the common and specific parts of the interrelated dynamic systems model for each patient, along with a shared small neural network classifying patients into low and high risk for AF based on the unique (not shared between patients) singular values of the dynamic system model. Patient-specific dynamic system models were then fitted for the validation and test sets to calculate the patient dynamic singular values, which were used to classify patients into low and high risk for AF groups.Results:Atrial fibrillation occurred in 48 of 202 (23%) patients classified as low risk and 35 of 48 (72.9%) patients classified as high risk (odds ratio 8.63, 95% CI 4.23-17.64), yielding 72.9% sensitivity with 76.2% specificity.Conclusion:In this retrospective analysis, classification of the dynamic system model singular values identified patients at high risk for atrial fibrillation from sinus rhythm period.

Circulation, Volume 150, Issue Suppl_1, Page A4144566-A4144566, November 12, 2024. Introduction:Sudden cardiac arrest (SCA) remains a leading cause of death among young individuals, often occurring without prior symptoms. Public confidence in recognizing SCA warning signs, understanding risk factors, and using cardiopulmonary resuscitation (CPR) and Automated External Defibrillators (AEDs) is generally low. The Eric Paredes Save A Life Foundation addresses this gap by offering free cardiac screenings and educational sessions. This abstract evaluates the foundation’s impact on participants’ confidence in these critical areas.Goals:The primary objectives were to enhance participants’ confidence in identifying SCA warning signs and risk factors, performing CPR, using AEDs during cardiac emergencies, and communicating youth heart health concerns to healthcare providers.Methods:Volunteer-led prevention screening sessions were conducted, incorporating educational components on SCA warning signs, risk factors, and hands-only CPR and AED training. Post-session surveys were administered to 1,123 participants to assess their confidence levels in these areas.Results:The screening sessions significantly increased participants’ confidence. Specifically, 96% of participants reported heightened confidence in recognizing SCA warning signs and understanding risk factors. Additionally, 94% felt more assured in discussing youth heart health with providers. Confidence in performing CPR during a cardiac emergency rose to 92%, while confidence in using an AED reached 89%. These results demonstrate the effectiveness of the sessions in empowering individuals with essential life-saving skills.Conclusions:The Eric Paredes Save A Life Foundation’s prevention screening sessions are highly effective in improving participants’ confidence in recognizing SCA warning signs, understanding risk factors, and using CPR and AEDs. The substantial increase in confidence levels underscores the importance of community-based education and training programs in reducing SCA-related fatalities among youth. These findings support the need for ongoing and expanded initiatives to further enhance public health outcomes and preparedness for cardiac emergencies.

Circulation, Volume 150, Issue Suppl_1, Page A4139194-A4139194, November 12, 2024. Background:In the U.S., about 8% of adults never received cholesterol screening. Although machine learning (ML) has been used to develop decision tools for Atherosclerotic Cardiovascular Disease (ASCVD) risk prediction, its application in behavioral forecasting has not yet been explored in the context of cholesterol screening behaviors. This study aimed to examine the performance and accuracy of ML algorithms in forecasting cholesterol screening behaviors in adults after age 50.Methods:This analysis used deidentified data from the Health and Retirement Study (HRS) 2004-2018. HRS is a longitudinal survey among 23,000 households in the U.S. Participants were excluded from the current analysis if they passed away by 2019, ever had ASCVD or stroke, were under age 50 at baseline, or had missing data in self-reported cholesterol screening. In total, 7176 participants (mean age [SD]=62 [8]) met the inclusion criteria; participants were randomly split into a training set (80%) and a testing set (20%). The synthetic minority oversampling technique was used to solve the imbalance distribution of the rare event. Five ML algorithms were used: random forest, gradient boosting machine (GBM), XGBoost, Support Vector Machine (SVM), and logistic regression. Accuracy, AUROC, and positive predictive value (PPV) were used to compare model performance. The average gain was evaluated for feature importance in the demographic and health domains.Results:In total, 232 (3.2%) respondents did not receive any cholesterol screening from 2008 to 2018. Experiments with five ML algorithms suggested that XGBoost with deeper trees and learning rate performed better in classifying those who did not screen for cholesterol levels over 10 years. Adding prior cholesterol screening history (2004-2006) into the model significantly improved model performance. Hypertension, self-rated health, and smoking were the major health features, while insurance, poverty, and work status were the major demographic features in the predictive model (accuracy=0.97; AUROC=0.88; PPV=0.42).Conclusion:Findings underscore the potential utility of ML models in predicting cholesterol screening behaviors after age 50. This could be the basis for developing decision tools for clinicians to identify those with a lower chance of cholesterol screening or make reminders accordingly. The low-cost predictive model might improve the uptake of preventive screening behaviors in middle-aged and older adults.