The association of lipoprotein(a) and coronary artery calcium in asymptomatic patients: a systematic review and meta-analysis.

AIMS: Lipoprotein(a) [Lp(a)] is an atherogenic lipid particle associated with increased risk for coronary heart disease (CHD) events. Coronary artery calcium (CAC) score is a tool to diagnose subclinical atherosclerosis and guide clinical decision-making for primary prevention of CHD. Studies show conflicting results concerning the relationship between Lp(a) and CAC in asymptomatic populations. We conducted a meta-analysis to evaluate the association of Lp(a) and CAC in asymptomatic patients. METHODS AND RESULTS: We systematically searched PubMed, Embase, and Cochrane until April 2023 for studies evaluating the association between Lp(a) and CAC in asymptomatic patients. We evaluated CAC > 0 Agatston units, and CAC ≥ 100. Lp(a) was analysed as a continuous or dichotomous variable. We assessed the association between Lp(a) and CAC with pooled odds ratios (OR) adopting a random-effects model. A total of 23 105 patients from 18 studies were included in the meta-analysis with a mean age of 55.9 years, 46.4% female. Elevated Lp(a) increased the odds of CAC > 0 [OR 1.31; 95% confidence intervals (CI) 1.05-1.64; P = 0.02], CAC ≥100 (OR 1.29; 95% CI 1.01-1.65; P = 0.04; ), and CAC progression (OR 1.43; 95% CI 1.20-1.70; P < 0.01; ). For each increment of 1 mg/dL in Lp(a) there was a 1% in the odds of CAC > 0 (OR 1.01; 95% CI 1.01-1.01; P < 0.01). CONCLUSION: Our findings of this meta-analysis suggest that Lp(a) is positively associated with a higher likelihood of CAC. Higher Lp(a) levels increased the odds of CAC >0. These data support the concept that Lp(a) is atherogenic, although with high heterogeneity and a low level of certainty. PROTOCOL REGISTRATION: CRD42023422034. KEY FINDINGS: Asymptomatic patients with elevated Lp(a) had 31% higher chances of having any coronary calcification (CAC > 0) and 29% higher chances of having more advanced calcification (CAC > 100). It increased the chances of having progression of coronary calcification over time by 43%. For each 1 mg/dL of Lp(a) there was an increment of 1% chance of having coronary calcification.

We conducted a meta-analysis to evaluate the association between Lp(a) and coronary calcification in asymptomatic patients without a known history of coronary artery disease.

Artificial intelligence for triaging of breast cancer screening mammograms and workload reduction: A meta-analysis of a deep learning software.

OBJECTIVE: Deep learning (DL) has shown promising results for improving mammographic breast cancer diagnosis. However, the impact of artificial intelligence (AI) on the breast cancer screening process has not yet been fully elucidated in terms of potential workload reduction. We aim to assess if AI-based triaging of breast cancer screening mammograms could reduce the radiologist's workload with non-inferior sensitivity. METHODS: PubMed, EMBASE, Cochrane Central, and Web of Science databases were systematically searched for studies that evaluated AI algorithms on computer-aided triage of breast cancer screening mammograms. We extracted data from homogenous studies and performed a proportion meta-analysis with a random-effects model to examine the radiologist's workload reduction (proportion of low-risk mammograms that could be theoretically ruled out from human's assessment) and the software's sensitivity to breast cancer detection. RESULTS: Thirteen studies were selected for full review, and three studies that used the same commercially available DL algorithm were included in the meta-analysis. In the 156,852 examinations included, the threshold of 7 was identified as optimal. With these parameters, radiologist workload decreased by 68.3% (95%CI 0.655-0.711, I² = 98.76%, p < 0.001), while achieving a sensitivity of 93.1% (95%CI 0.882-0.979, I² = 83.86%, p = 0.002) and a specificity of 68.7% (95% CI 0.684-0.723, I² = 97.5%, p < 0.01). CONCLUSIONS: The deployment of DL computer-aided triage of breast cancer screening mammograms reduces the radiology workload while maintaining high sensitivity. Although the implementation of AI remains complex and heterogeneous, it is a promising tool to optimize healthcare resources.

Artificial intelligence for telemedicine diabetic retinopathy screening: a review.

PURPOSE: This study aims to compare artificial intelligence (AI) systems applied in diabetic retinopathy (DR) teleophthalmology screening, currently deployed systems, fairness initiatives and the challenges for implementation. METHODS: The review included articles retrieved from PubMed/Medline/EMBASE literature search strategy regarding telemedicine, DR and AI. The screening criteria included human articles in English, Portuguese or Spanish and related to telemedicine and AI for DR screening. The author's affiliations and the study's population income group were classified according to the World Bank Country and Lending Groups. RESULTS: The literature search yielded a total of 132 articles, and nine were included after full-text assessment. The selected articles were published between 2004 and 2020 and were grouped as telemedicine systems, algorithms, economic analysis and image quality assessment. Four telemedicine systems that perform a quality assessment, image preprocessing and pathological screening were reviewed. A data and post-deployment bias assessment are not performed in any of the algorithms, and none of the studies evaluate the social impact implementations. There is a lack of representativeness in the reviewed articles, with most authors and target populations from high-income countries and no low-income country representation. CONCLUSIONS: Telemedicine and AI hold great promise for augmenting decision-making in medical care, expanding patient access and enhancing cost-effectiveness. Economic studies and social science analysis are crucial to support the implementation of AI in teleophthalmology screening programs. Promoting fairness and generalizability in automated systems combined with telemedicine screening programs is not straightforward. Improving data representativeness, reducing biases and promoting equity in deployment and post-deployment studies are all critical steps in model development.

Glucose control and psychosocial outcomes with use of automated insulin delivery for 12 to 96 weeks in type 1 diabetes: a meta-analysis of randomised controlled trials.

BACKGROUND: Glycaemic control of Type 1 Diabetes Mellitus (T1DM) remains a challenge due to hypoglycaemic episodes and the burden of insulin self-management. Advancements have been made with the development of automated insulin delivery (AID) devices, yet, previous reviews have only assessed the use of AID over days or weeks, and potential benefits with longer time of AID use in this population remain unclear. METHODS:  We performed a systematic review and meta-analysis of randomised controlled trials comparing AID (hybrid and fully closed-loop systems) to usual care (sensor augmented pumps, multiple daily insulin injections, continuous glucose monitoring and predictive low-glucose suspend) for adults and children with T1DM with a minimum duration of 3 months. We searched PubMed, Embase, Cochrane Central, and Clinicaltrials.gov for studies published up until April 4, 2023. Main outcomes included time in range 70-180 mg/dL as the primary outcome, and change in HbA1c (%, mmol/mol), glucose variability, and psychosocial impact (diabetes distress, treatment satisfaction and fear of hypoglycaemia) as secondary outcomes. Adverse events included diabetic ketoacidosis (DKA) and severe hypoglycaemia. Statistical analyses were conducted using mean differences and odds ratios. Sensitivity analyses were performed according to age, study duration and type of AID device. The protocol was registered in PROSPERO, CRD42022366710. RESULTS: We identified 25 comparisons from 22 studies (six crossover and 16 parallel designs) including a total of 2376 participants (721 in adult studies, 621 in paediatric studies, and 1034 in combined studies) which were eligible for analysis. Use of AID devices ranged from 12 to 96 weeks. Patients using AID had 10.87% higher time in range [95% CI 9.38 to 12.37; p < 0.0001, I2 = 87%) and 0.37% (4.77 mmol/mol) lower HbA1c (95% CI - 0.49% (- 6.39 mmol/mol) to - 0.26 (- 3.14 mmol/mol); p < 0·0001, I2 = 77%]. AID systems decreased night hypoglycaemia, time in hypoglycaemia and hyperglycaemia and improved patient distress, with no increase in the risk of DKA or severe hypoglycaemia. No difference was found regarding treatment satisfaction or fear of hypoglycaemia. Among children, there was no difference in glucose variability or time spent in hypoglycaemia between the use of AID systems or usual care. In sensitivity analyses, results remained consistent with the overall analysis favouring AID. CONCLUSION: The use of AID systems over 12 weeks, regardless of technical or clinical differences, improved glycaemic outcomes and diabetes distress without increasing the risk of adverse events in adults and children with T1DM.

Long-Term Remote vs. Conventional Monitoring of Pacemakers: Systematic Review and Meta-Analysis of Randomized Controlled Trials.

PURPOSE OF REVIEW: Remote monitoring (RM) is the standard of care for patients with cardiac implantable electronic devices (CIEDs), particularly pacemakers. However, the long-term outcomes of RM versus conventional monitoring (CM) of pacemakers and its effectiveness in reducing in-office (IO) visits for device reprogramming require elucidation. This systematic review and meta-analysis aimed to compare the RM and CM of pacemakers over a long-term follow-up. RECENT FINDINGS: We systematically searched the PubMed/MEDLINE, Embase, Cochrane, and ClinicalTrials.gov databases for randomized controlled trials (RCTs) comparing RM and CM of pacemakers with at least 12 months of follow-up. Binary endpoints were pooled with risk ratios (RRs), whereas continuous outcomes were computed using mean differences (MDs) or standardized MDs (SMDs). Heterogeneity was assessed using I2 statistics. Among the eight included RCTs, 2159 (48.9%) of 4063 patients underwent RM. Follow-up periods ranged from 12 to 24 months. There were no significant between-group differences in all-cause mortality (RR = 1.19; 95% confidence interval [CI], 0.90-1.57; p = 0.22; I2 = 0%), stroke (RR = 0.90; 95% CI, 0.43-1.91; p = 0.79; I2 = 23%), hospitalizations for cardiovascular and/or device-related adverse events (RR = 0.95; 95% CI, 0.75-1.21; p = 0.70; I2 = 0%), and quality of life (SMD = - 0.06; 95% CI, - 0.22 to 0.10; p = 0.473; I2 = 0%). RM was associated with fewer IO visits/patient/year (MD = 0.98; 95% CI, - 1.64 to - 0.33; p = 0.08; I2 = 98%) and higher rates of atrial tachyarrhythmia (ATA) detection (RR = 1.22; 95% CI, 1.01-1.48; p = 0.04; I2 = 0%) than was CM. This meta-analysis suggests that RM of pacemakers leads to higher rates of ATA detection and fewer IO visits/patient/year, without compromising patient safety.

Network Meta-Analysis of Initial Antithrombotic Regimens After Left Atrial Appendage Occlusion.

BACKGROUND: The optimal antithrombotic therapy following left atrial appendage occlusion (LAAO) in patients with nonvalvular atrial fibrillation (AF) remains uncertain. OBJECTIVES: In this study, the authors sought to compare the efficacy and safety of various antithrombotic strategies after LAAO. METHODS: We searched the Medline, Cochrane, EMBASE, LILACS, and ClinicalTrials.gov databases for studies reporting outcomes after LAAO, stratified by antithrombotic therapy prescribed at postprocedural discharge. Direct oral anticoagulants (DOACs), vitamin K antagonists (VKAs), single antiplatelet therapy (SAPT), dual antiplatelet therapy (DAPT), DOAC plus SAPT, VKA plus SAPT, and no antithrombotic therapy were analyzed. We performed a frequentist random effects model network meta-analysis to estimate the OR and 95% CI for each comparison. P-scores provided a ranking of treatments. RESULTS: Forty-one studies comprising 12,451 patients with nonvalvular AF were included. DAPT, DOAC, DOAC plus SAPT, and VKA were significantly superior to no therapy to prevent device-related thrombosis. DOAC was associated with lower all-cause mortality than VKA (OR: 0.39; 95% CI: 0.17-0.89; P = 0.03). Compared with SAPT, DAPT was associated with fewer thromboembolic events (OR: 0.50; 95% CI: 0.29-0.88; P = 0.02), without a difference in major bleeding. In the analysis of P-scores, DOAC monotherapy was the strategy most likely to have lower thromboembolic events and major bleeding. CONCLUSIONS: In this network meta-analysis comparing initial antithrombotic therapies after LAAO, monotherapy with DOAC had the highest likelihood of lower thromboembolic events and major bleeding. DAPT was associated with a lower incidence of thromboembolic events compared with SAPT and may be a preferred option in patients unable to tolerate anticoagulation.

The Single-Syringe Versus the Double-Syringe Techniques of Adenosine Administration for Supraventricular Tachycardia: A Systematic Review and Meta-Analysis.

INTRODUCTION: The intravenous double-syringe technique (DST) of adenosine administration is the first-line treatment for stable supraventricular tachycardia (SVT). Alternatively, the single-syringe technique (SST) was recently found to be potentially beneficial in several studies. This study aimed to perform a meta-analysis of the SST versus the DST of adenosine administration for the treatment of SVT. METHODS: We assessed EMBASE, PubMed, Cochrane, and ClinicalTrials.gov databases for randomized controlled trials (RCTs) and non-randomized studies of intervention (NRSIs) comparing the DST to the SST of adenosine administration in patients with SVT. Outcomes included termination rate, termination rate at first dose, total administered dose, adverse effects, and discharge rate. RESULTS: We included four studies (three RCTs and one NRSI) with a total of 178 patients, of whom 99 underwent the SST of adenosine administration. No significant difference was found between treatment groups regarding termination rate, termination rate restricted to RCTs, total administered dose, and discharge rate. Termination rate at first dose (odds ratio 2.87; confidence interval 1.11-7.41; p = 0.03; I2 = 0%) was significantly increased in patients who received the SST. Major adverse effects were observed in only one study. CONCLUSIONS: The SST is probably as safe as the DST and at least as effective for SVT termination, SVT termination at first dose, and discharge rate from the emergency department. However, definitive superiority of one technique is not feasible given the limited sample size. REGISTRATION: PROSPERO identifier nº CRD42022345125.

Diagnostic Accuracy of ECG to Detect Left Ventricular Hypertrophy in Patients with Left Bundle Branch Block: A Systematic Review and Meta-analysis.

Background: Electrocardiographic (ECG) criteria to detect left ventricular hypertrophy (LVH) in patients with left bundle branch block (LBBB) remain under debate. We conducted a systematic review and meta-analysis to evaluate the diagnostic accuracy of different ECG criteria for diagnosing LVH in patients with LBBB. Methods: We searched PubMed, Embase, Cochrane, and LILACS for articles evaluating the diagnostic accuracy of ECG criteria for LVH in patients with LBBB published between 1984 and 2023. Echocardiogram, magnetic resonance imaging, or autopsy were used as the reference standard for diagnosis of LVH. Risk of bias was assessed using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool. The co-primary outcomes were sensitivity, specificity, the diagnostic odds ratio, and likelihood ratios, estimated using a bivariate generalized linear mixed model for each ECG criterion. The prespecified protocol was registered in the International Prospective Register of Systematic Reviews (PROSPERO). Results: We included 12 studies with a total of 1023 patients. We analyzed 10 criteria for LVH on ECG, including the Sokolow-Lyon criterion, the Cornell criterion, the RaVL (R wave in aVL) criterion, the Gubner-Ungerleider criterion, and the Dálfo criterion, among others. The Dalfó criterion was used for 487 patients and had the highest pooled sensitivity of 86% (95% confidence interval [CI] 57%-97%). All the other criteria had poor sensitivities. The Gubner-Ungerleider criterion and the RV5 or RV6 > 25 mm criterion had the highest specificities, with the former being used for 805 patients, obtaining a specificity of 99% (95% CI 80%-100%) and the latter being used for 355 patients, obtaining a specificity of 99% (95% CI 94%-100%). Conclusions: In patients with LBBB, the use of ECG criteria had poor performance for ruling out LVH, mostly due to low sensitivities. None of the criteria analyzed demonstrated a balanced tradeoff between sensitivity and specificity, suggesting that ECG should not be used routinely to screen for LVH.

Contexte: Les critères électrocardiographiques (ECG) visant à détecter une hypertrophie ventriculaire gauche (HVG) chez les patients présentant un bloc de branche gauche (BBG) font encore l'objet de discussions. Nous avons réalisé une synthèse des publications et une méta-analyse afin d'évaluer l'exactitude diagnostique de différents critères ECG pour le diagnostic de l'HVG chez les patients présentant un BBG. Méthodologie: Nous avons effectué une recherche dans les bases de données PubMed, Embase, Cochrane et LILACS afin de recenser les articles publiés entre 1984 et 2023 portant sur l'évaluation de l'exactitude de critères ECG pour le diagnostic d'une HVG chez les patients présentant un BBG. L'échocardiographie, l'imagerie par résonance magnétique et l'autopsie ont servi de normes de référence pour le diagnostic de l'HVG. Le risque de biais a été évalué au moyen de l'outil QUADAS-2 (Quality Assessment of Diagnostic Accuracy Studies). Les principaux critères d'évaluation étaient la sensibilité, la spécificité, le risque relatif approché diagnostique et les rapports de vraisemblance, estimés au moyen d'un modèle linéaire mixte généralisé à deux variables pour chaque critère ECG. Le protocole défini au préalable a été enregistré dans le registre international de revues systématiques prospectives PROSPERO. Résultats: Nous avons recensé 12 études, comptant au total 1 023 patients. Nous avons analysé 10 critères pour le diagnostic d'HVG à l'ECG, notamment l'indice de Sokolow-Lyon, l'indice de Cornell, l'onde R en aVL, l'indice de Gubner-Ungerleider et l'indice de Dálfo. Ce dernier a été utilisé pour 487 patients et avait la sensibilité regroupée la plus élevée, soit 86 % (intervalle de confiance [IC] à 95 % : 57-97 %). La sensibilité de tous les autres critères était faible. L'indice de Gubner-Ungerleider et le critère de l'onde R en V5 ou V6 > 25 mm étaient associés aux spécificités les plus élevées. Le premier a été utilisé pour 805 patients et présentait une spécificité de 99 % (IC à 95 % : 80-100 %). Le second a été utilisé pour 355 patients et présentait une spécificité de 99 % (IC à 95 % : 94-100 %). Conclusions: Chez les patients présentant un BBG, l'utilisation de critères ECG a été associée à un rendement médiocre pour exclure un diagnostic d'HVG, principalement en raison de la faible sensibilité de ces critères. Aucun des critères analysés n'offrait un compromis équilibré entre la sensibilité et la spécificité, ce qui porte à croire que l'ECG ne devrait pas être utilisée systématiquement pour dépister une HVG.