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Background: Disorders affecting cardiac conduction are associated with substantial morbidity. Understanding the epidemiology and risk factors for conduction disorders may enable earlier diagnosis and preventive efforts. Objectives: The purpose of this study was to quantify contemporary frequency and risk factors for electrocardiogram (ECG)-defined cardiac conduction disorders in a large multi-institutional primary care sample. Methods: We quantified prevalence and incidence of conduction disorders among adults receiving longitudinal primary care between 2001 and 2019, each with at least one 12-lead ECG performed prior to the start of follow-up and at least one ECG during follow-up. We defined conduction disorders using curated terms extracted from ECG diagnostic statements by cardiologists. We grouped conduction disorders by inferred anatomic location of abnormal conduction. We tested associations between clinical factors and incident conduction disease using multivariable proportional hazards regression. Results: We analyzed 189,163 individuals (median age 55 years; 58% female). The overall prevalence of conduction disorders was 27% among men and 15% among women. Among 119,926 individuals (median age 55 years; 51% female), 6,802 developed an incident conduction system abnormality over a median of 10 years (Q1, Q3: 6, 15 years) of follow-up. Incident conduction disorders were more common in men (8.78 events/1,000 person-years) vs women (4.34 events/1,000 person-years, P < 0.05). In multivariable models, clinical factors including older age (HR: 1.25 per 5-year increase [95% CI: 1.24-1.26]) and myocardial infarction (HR: 1.39 [95% CI: 1.26-1.54]) were associated with incident conduction disorders. Conclusions: Cardiac conduction disorders are common in a primary care population, especially among older individuals with cardiovascular risk factors.
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BACKGROUND: Cleft lip and palate (CLP) are among the most common congenital anomaly that affects up to 33,000 newborns in India every year. Nasoalveolar moulding (NAM) is a non-surgical treatment performed between 0 and 6 months of age to reduce the cleft and improve nasal aesthetics prior to lip surgery. The NAM treatment has been a controversial treatment option with 51% of the cleft teams in Europe, 37% of teams in the USA and 25 of cleft teams in India adopting this methodology. This treatment adds to the already existing high burden of care for these patients. Furthermore, the supporting evidence for this technique is limited with no high-quality long-term clinical trials available on the effectiveness of this treatment. METHOD: The NAMUC study is an investigator-initiated, multi-centre, single-blinded randomized controlled trial with a parallel group design. The study will compare the effectiveness of NAM treatment provided prior to lip surgery against the no-treatment control group in 274 patients with non-syndromic unilateral complete cleft lip and palate. The primary endpoint of the trial is the nasolabial aesthetics measured using the Asher McDade index at 5 years of age. The secondary outcomes include dentofacial development, speech, hearing, cost-effectiveness, quality of life, patient perception, feeding and intangible benefits. Randomization will be carried out via central online system and stratified based on cleft width, birth weight and clinical trial site. DISCUSSION: We expect the results from this study on the effectiveness of treatment with NAM appliance in the long term along with the cost-effectiveness evaluation can eliminate the dilemma and differences in clinical care across the globe. TRIAL REGISTRATION: ClinicalTrials.gov CTRI/2022/11/047426 (Clinical Trials Registry India). Registered on 18 November 2022. The first patient was recruited on 11 December 2022. CTR India does not pick up on Google search with just the trial number. The following steps have to be carried out to pick up. How to search: ( https://ctri.nic.in/Clinicaltrials/advsearch.php -use the search boxes by entering the following details: Interventional trial > November 2022 > NAMUC).
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Labio Leporino , Fisura del Paladar , Estudios Multicéntricos como Asunto , Ensayos Clínicos Controlados Aleatorios como Asunto , Humanos , Labio Leporino/cirugía , Labio Leporino/terapia , Fisura del Paladar/cirugía , Fisura del Paladar/terapia , Lactante , Método Simple Ciego , Resultado del Tratamiento , Recién Nacido , India , Estética , Proceso Alveolar/cirugía , Femenino , Masculino , Nariz/anomalías , Obturadores PalatinosRESUMEN
Objective: To evaluate the effect of continuous arch and piggyback mechanics in a straight wire appliance (SWA) for the alignment of buccal and variably vertically positioned maxillary canines. Methods: A three-dimensional finite element model with near-normal occlusion and buccal and vertically displaced maxillary canines was used. Two groups were created to simulate two commonly used SWAs techniques, continuous archwire (Group 1) and piggyback models (Group 2). Each group had three subgroups with varying vertical displacement of the canine from 2 to 6 mm from the occlusal plane. The displacement and stress distribution were noted in each group. Results: As the vertical displacement increased in Group 1, the concentration of von Mises stress increased progressively at the incisal third (0.36, 0.41 and 0.44 MPa) at 2, 4, and 6 mm, respectively, with decreased maximum occlusal movement in the vertical plane with respect to the canine. Group 2 exhibited a similar pattern but greater occlusal movement of the canine compared with Group 1. Conclusion: A vertical displacement of 4 mm is the optimal level at which continuous arch mechanics should be considered. For displacements beyond 4 mm, the piggyback wire technique is a suitable alternative.
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OBJECTIVE: To assess the oral health status and microbiota of subgingival plaque in patients with surgically repaired cleft lip and palate (CLP) during orthodontic treatment for maxillary protraction with two different orthodontic appliances. DESIGN: Randomized controlled trial. SETTING: Institutional. PARTICIPANTS: A total of 90 patients with surgically repaired Unilateral Cleft Lip and Palate, out of initially enrolled 120 patients, were divided into 3 groups: experimental group I, experimental group II and control group, with 30 subjects each. Patients with a history of oral prophylaxis in last 6 months or antibiotic therapy within 3 months were excluded from the study. INTERVENTIONS: Bone Anchored Maxillary Protraction was done in experimental group I, while facemask with acrylic occlusal splint was used for maxillary protraction in experimental group II and no orthodontic intervention in control group. MEAN OUTCOME MEASURES: Plaque Index (PI), Gingival Index (GI), Gingival Bleeding Index (GBI), Probing Depth (PD), and microbiota of subgingival plaque (P. gingivalis, P. intermedia, Veillonella and Capnocytophaga) were compared at baseline (T0) and after 8 months (T1). RESULTS: The PI, GI, GBI and PD were observed to be significantly higher in experimental group II followed by experimental group I as compared to control group at 8 months interval (P < .001). The microbiota counts increased significantly in experimental group II and experimental group I (P < .001), as compared to control group. CONCLUSION: Maxillary protraction with facemask and bone plates was found to be a better alternative than facemask with occlusal splint, considering the overall oral health of patients with CLP.
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BACKGROUND: The present cross-sectional study was undertaken to evaluate the periodontal and microbiological parameters in patients with surgically repaired unilateral cleft lip and palate (UCLP) undergoing orthodontic correction in comparison to patients without any cleft or orthodontic treatment. METHODS: A total of 120 patients, out of initial 148 patients, between the age group 6 and 18 years were enrolled and divided into four groups with 30 patients each: non-cleft patients without orthodontic treatment in Group 1, non-cleft patients undergoing fixed orthodontic treatment in Group 2, patients with UCLP without any orthodontic treatment in Group 3, and patients with UCLP undergoing fixed orthodontic treatment in Group 4. Periodontal parameters including plaque index (PI), gingival index (GI), gingival bleeding index (GBI), community periodontal index of treatment needs (CPITN) index, pocket probing depth (PD), and tooth mobility were measured in all the groups. The subgingival plaque samples of all the patients were subjected to microbial evaluation using matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF-MS) for clinical diagnosis. RESULTS: The periodontal parameters were significantly raised in Group 4, followed by Group 3 and Group 2 in comparison to Group 1 (p < 0.01), thereby suggesting poor periodontal health in patients with UCLP undergoing orthodontic treatment. Statistically significant differences (p < 0.01) in counts of micro-organisms among the groups were observed for P. gingivalis, P. intermedia, Veillonella, and Capnocytophaga, with the highest proportions in Group 4, indicating a deteriorating oral health in these patients. CONCLUSION: Poor periodontal and microbial health in patients with UCLP undergoing orthodontic treatment indicates a need for reinforcement of oral hygiene practices among these patients.
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Fibrotic diseases affect multiple organs and are associated with morbidity and mortality. To examine organ-specific and shared biologic mechanisms that underlie fibrosis in different organs, we developed machine learning models to quantify T1 time, a marker of interstitial fibrosis, in the liver, pancreas, heart and kidney among 43,881 UK Biobank participants who underwent magnetic resonance imaging. In phenome-wide association analyses, we demonstrate the association of increased organ-specific T1 time, reflecting increased interstitial fibrosis, with prevalent diseases across multiple organ systems. In genome-wide association analyses, we identified 27, 18, 11 and 10 independent genetic loci associated with liver, pancreas, myocardial and renal cortex T1 time, respectively. There was a modest genetic correlation between the examined organs. Several loci overlapped across the examined organs implicating genes involved in a myriad of biologic pathways including metal ion transport (SLC39A8, HFE and TMPRSS6), glucose metabolism (PCK2), blood group antigens (ABO and FUT2), immune function (BANK1 and PPP3CA), inflammation (NFKB1) and mitosis (CENPE). Finally, we found that an increasing number of organs with T1 time falling in the top quintile was associated with increased mortality in the population. Individuals with a high burden of fibrosis in ≥3 organs had a 3-fold increase in mortality compared to those with a low burden of fibrosis across all examined organs in multivariable-adjusted analysis (hazard ratio = 3.31, 95% confidence interval 1.77-6.19; P = 1.78 × 10-4). By leveraging machine learning to quantify T1 time across multiple organs at scale, we uncovered new organ-specific and shared biologic pathways underlying fibrosis that may provide therapeutic targets.
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Fibrosis , Estudio de Asociación del Genoma Completo , Imagen por Resonancia Magnética , Humanos , Masculino , Femenino , Persona de Mediana Edad , Aprendizaje Automático , Anciano , Páncreas/patología , Páncreas/diagnóstico por imagen , Especificidad de Órganos/genética , Riñón/patología , Hígado/patología , Hígado/metabolismo , Miocardio/patología , Miocardio/metabolismo , AdultoRESUMEN
Increased left atrial volume and decreased left atrial function have long been associated with atrial fibrillation. The availability of large-scale cardiac magnetic resonance imaging data paired with genetic data provides a unique opportunity to assess the genetic contributions to left atrial structure and function, and understand their relationship with risk for atrial fibrillation. Here, we use deep learning and surface reconstruction models to measure left atrial minimum volume, maximum volume, stroke volume, and emptying fraction in 40,558 UK Biobank participants. In a genome-wide association study of 35,049 participants without pre-existing cardiovascular disease, we identify 20 common genetic loci associated with left atrial structure and function. We find that polygenic contributions to increased left atrial volume are associated with atrial fibrillation and its downstream consequences, including stroke. Through Mendelian randomization, we find evidence supporting a causal role for left atrial enlargement and dysfunction on atrial fibrillation risk.
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Fibrilación Atrial , Aprendizaje Profundo , Estudio de Asociación del Genoma Completo , Atrios Cardíacos , Humanos , Fibrilación Atrial/fisiopatología , Fibrilación Atrial/genética , Fibrilación Atrial/diagnóstico por imagen , Atrios Cardíacos/diagnóstico por imagen , Atrios Cardíacos/fisiopatología , Atrios Cardíacos/patología , Masculino , Femenino , Persona de Mediana Edad , Anciano , Imagen por Resonancia Magnética , Análisis de la Aleatorización Mendeliana , Factores de Riesgo , Función del Atrio Izquierdo/fisiología , Volumen Sistólico , Accidente Cerebrovascular , Reino Unido/epidemiología , Sitios Genéticos , Predisposición Genética a la EnfermedadRESUMEN
OBJECTIVE: Evaluate facial changes after Presurgical Naso-Alveolar Molding (PNAM) in unilateral cleft lip and palate (UCLP) patients treated with Modified Grayson Technique and AlignerNAM (with DynaCleft nasal elevator) using a 3D facial scan. DESIGN: Randomised clinical trial. SETTING: Institutional study. Participants: 20 UCLP patients allocated to two groups (10 patients each). INTERVENTIONS: Group A patients underwent PNAM with Modified Grayson Technique and Group B patients underwent AlignerNAM (with DynaCleft nasal elevator). Their 3D facial scans were obtained by using an iOSbased application (Bellus3D FaceApp) mounted on a novel frame. These .stl files were analysed using 3D software (GOM INSPECT) at three-time intervals; before intervention (T0), after intervention (T1) and one month after lip repair surgery (T2). MAIN OUTCOME MEASURE(S): Changes in facial and nasolabial morphology. RESULTS: Both techniques brought significant improvement in the columellar length, nasal tip projection, columella angle, nasal tip angle and a significant reduction in cleft width. At T1, a statistically significant difference in angular and linear measurements was present in both groups. At T2, no statistically significant difference in linear parameters was observed between the two groups except for the outer lateral height of the non-cleft side, basal lateral height of the non-cleft side, and philtrum width. Similar pattern was observed in angular measurements with no statistically significant difference between the two groups except in nasolabial angle, anterior nasal base triangle III, and anterior nasal root triangle. CONCLUSIONS: Aligner NAM and Modified Grayson technique are equally effective PNAM methods with similar clinical results in nasolabial morphology after lip repair surgery.
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OBJECTIVE: The purpose of this study was to evaluate the maxillary protraction effect of facemask therapy with and without skeletal anchorage in growing Class III patients with unilateral cleft lip and palate (UCLP). MATERIALS AND METHODS: Thirty patients (aged 9-13 years) with UCLP having a GOSLON score 3 were selected for this prospective clinical study. The patients were allocated into two groups using computer generated random number table. Group I (facemask therapy along with two I shaped miniplates, FM + MP) and Group II (facemask mask along with tooth-anchored appliance, FM). Skeletal and dental parameters were evaluated on pre- and post-treatment lateral cephalograms and pharyngeal airway on cone-beam computed tomography systems (CBCT) for assessment of the treatment changes. RESULTS: Both methods proved to be effective with statistically significant improvements in skeletal and dental parameters (p < .05). Skeletal parameters (e.g., SNA, convexity-point A, ANB) with the FM + MP group showed greater change compared to those with FM group (SNA, 2.56°; convexity-point A, 1.22°; ANB, 0.35°). Significant proclination of maxillary incisors was observed in the FM group as compared to FM + MP group (U1 to NA, 5.4°; 3.37 mm). A statistically significant increase in pharyngeal airway volume was noted in both groups (p < .05). CONCLUSION: While both therapies are effective in protracting the maxilla in growing patients with UCLP, the FM + MP allows for a greater skeletal correction, minimizing the dental side effects seen with FM therapy alone. Thus, FM + MP appears to be a promising adjunct in reducing the severity of Class III skeletal correction needed in patients with cleft lip and palate (CLP).
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Labio Leporino , Fisura del Paladar , Humanos , Labio Leporino/terapia , Fisura del Paladar/terapia , Estudios Prospectivos , Máscaras , Cefalometría , Aparatos de Tracción Extraoral , MaxilarRESUMEN
AIMS: To leverage deep learning on the resting 12-lead electrocardiogram (ECG) to estimate peak oxygen consumption (VËO2peak) without cardiopulmonary exercise testing (CPET). METHODS AND RESULTS: V Ë O 2 peak estimation models were developed in 1891 individuals undergoing CPET at Massachusetts General Hospital (age 45 ± 19 years, 38% female) and validated in a separate test set (MGH Test, n = 448) and external sample (BWH Test, n = 1076). Three penalized linear models were compared: (i) age, sex, and body mass index ('Basic'), (ii) Basic plus standard ECG measurements ('Basic + ECG Parameters'), and (iii) basic plus 320 deep learning-derived ECG variables instead of ECG measurements ('Deep ECG-VËO2'). Associations between estimated VËO2peak and incident disease were assessed using proportional hazards models within 84 718 primary care patients without CPET. Inference ECGs preceded CPET by 7 days (median, interquartile range 27-0 days). Among models, Deep ECG-VËO2 was most accurate in MGH Test [r = 0.845, 95% confidence interval (CI) 0.817-0.870; mean absolute error (MAE) 5.84, 95% CI 5.39-6.29] and BWH Test (r = 0.552, 95% CI 0.509-0.592, MAE 6.49, 95% CI 6.21-6.67). Deep ECG-VËO2 also outperformed the Wasserman, Jones, and FRIEND reference equations (P < 0.01 for comparisons of correlation). Performance was higher in BWH Test when individuals with heart failure (HF) were excluded (r = 0.628, 95% CI 0.567-0.682; MAE 5.97, 95% CI 5.57-6.37). Deep ECG-VËO2 estimated VËO2peak <14 mL/kg/min was associated with increased risks of incident atrial fibrillation [hazard ratio 1.36 (95% CI 1.21-1.54)], myocardial infarction [1.21 (1.02-1.45)], HF [1.67 (1.49-1.88)], and death [1.84 (1.68-2.03)]. CONCLUSION: Deep learning-enabled analysis of the resting 12-lead ECG can estimate exercise capacity (VËO2peak) at scale to enable efficient cardiovascular risk stratification.
Researchers here present data describing a method of estimating exercise capacity from the resting electrocardiogram. Electrocardiogram estimation of exercise capacity was accurate and was found to predict the onset of the wide range of cardiovascular diseases including heart attacks, heart failure, arrhythmia, and death.This approach offers the ability to estimate exercise capacity without dedicated exercise testing and may enable efficient risk stratification of cardiac patients at scale.
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Electrocardiografía , Insuficiencia Cardíaca , Humanos , Femenino , Adulto , Persona de Mediana Edad , Masculino , Pronóstico , Prueba de Esfuerzo/métodos , Consumo de OxígenoRESUMEN
Importance: The gold standard for outcome adjudication in clinical trials is medical record review by a physician clinical events committee (CEC), which requires substantial time and expertise. Automated adjudication of medical records by natural language processing (NLP) may offer a more resource-efficient alternative but this approach has not been validated in a multicenter setting. Objective: To externally validate the Community Care Cohort Project (C3PO) NLP model for heart failure (HF) hospitalization adjudication, which was previously developed and tested within one health care system, compared to gold-standard CEC adjudication in a multicenter clinical trial. Design, Setting, and Participants: This was a retrospective analysis of the Influenza Vaccine to Effectively Stop Cardio Thoracic Events and Decompensated Heart Failure (INVESTED) trial, which compared 2 influenza vaccines in 5260 participants with cardiovascular disease at 157 sites in the US and Canada between September 2016 and January 2019. Analysis was performed from November 2022 to October 2023. Exposures: Individual sites submitted medical records for each hospitalization. The central INVESTED CEC and the C3PO NLP model independently adjudicated whether the cause of hospitalization was HF using the prepared hospitalization dossier. The C3PO NLP model was fine-tuned (C3PO + INVESTED) and a de novo NLP model was trained using half the INVESTED hospitalizations. Main Outcomes and Measures: Concordance between the C3PO NLP model HF adjudication and the gold-standard INVESTED CEC adjudication was measured by raw agreement, κ, sensitivity, and specificity. The fine-tuned and de novo INVESTED NLP models were evaluated in an internal validation cohort not used for training. Results: Among 4060 hospitalizations in 1973 patients (mean [SD] age, 66.4 [13.2] years; 514 [27.4%] female and 1432 [72.6%] male]), 1074 hospitalizations (26%) were adjudicated as HF by the CEC. There was good agreement between the C3PO NLP and CEC HF adjudications (raw agreement, 87% [95% CI, 86-88]; κ, 0.69 [95% CI, 0.66-0.72]). C3PO NLP model sensitivity was 94% (95% CI, 92-95) and specificity was 84% (95% CI, 83-85). The fine-tuned C3PO and de novo NLP models demonstrated agreement of 93% (95% CI, 92-94) and κ of 0.82 (95% CI, 0.77-0.86) and 0.83 (95% CI, 0.79-0.87), respectively, vs the CEC. CEC reviewer interrater reproducibility was 94% (95% CI, 93-95; κ, 0.85 [95% CI, 0.80-0.89]). Conclusions and Relevance: The C3PO NLP model developed within 1 health care system identified HF events with good agreement relative to the gold-standard CEC in an external multicenter clinical trial. Fine-tuning the model improved agreement and approximated human reproducibility. Further study is needed to determine whether NLP will improve the efficiency of future multicenter clinical trials by identifying clinical events at scale.
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BACKGROUND: Deep learning interpretation of echocardiographic images may facilitate automated assessment of cardiac structure and function. OBJECTIVES: We developed a deep learning model to interpret echocardiograms and examined the association of deep learning-derived echocardiographic measures with incident outcomes. METHODS: We trained and validated a 3-dimensional convolutional neural network model for echocardiographic view classification and quantification of left atrial dimension, left ventricular wall thickness, chamber diameter, and ejection fraction. The training sample comprised 64,028 echocardiograms (n = 27,135) from a retrospective multi-institutional ambulatory cardiology electronic health record sample. Validation was performed in a separate longitudinal primary care sample and an external health care system data set. Cox models evaluated the association of model-derived left heart measures with incident outcomes. RESULTS: Deep learning discriminated echocardiographic views (area under the receiver operating curve >0.97 for parasternal long axis, apical 4-chamber, and apical 2-chamber views vs human expert annotation) and quantified standard left heart measures (R2 range = 0.53 to 0.91 vs study report values). Model performance was similar in 2 external validation samples. Model-derived left heart measures predicted incident heart failure, atrial fibrillation, myocardial infarction, and death. A 1-SD lower model-left ventricular ejection fraction was associated with 43% greater risk of heart failure (HR: 1.43; 95% CI: 1.23-1.66) and 17% greater risk of death (HR: 1.17; 95% CI: 1.06-1.30). Similar results were observed for other model-derived left heart measures. CONCLUSIONS: Deep learning echocardiographic interpretation accurately quantified standard measures of left heart structure and function, which in turn were associated with future clinical outcomes. Deep learning may enable automated echocardiogram interpretation and disease prediction at scale.
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Fibrilación Atrial , Aprendizaje Profundo , Insuficiencia Cardíaca , Humanos , Volumen Sistólico , Función Ventricular Izquierda , Estudios RetrospectivosRESUMEN
Background: Previous systematic reviews indicate that there is an increased prevalence of caries in cleft patients in comparison to their healthy control group. To date, the prevalence of caries between unilateral cleft lip and palate (UCLP) and bilateral cleft lip and palate (BCLP) has not been quantitatively evaluated. This review aims to include published studies that examined caries prevalence in patients with UCLP and BCLP to find out whether a quantitative difference exists in caries experience among them. Materials and Methods: Medline/PubMed, Scopus, and EBSCOhost databases were searched from inception to November 2021. The protocol was registered with PROSPERO registration no. CRD2021292425. Prevalence-based studies that evaluated caries experience using the decayed-missing-filled teeth (DMFT) index in the permanent dentition or dmft in case of primary dentition in patients with UCLP or BCLP were included in the analysis with the outcome given in mean and standard deviation. Meta-analysis was performed using a random effect model through a forest plot. An adapted version of the Newcastle-Ottawa Scale for cross-sectional studies was modified to assess the quality of included studies. Results: Three studies were included in the review. The difference in caries prevalence was statistically significant in the permanent and primary dentition which were evaluated using DMFT and dmft scores with P = 0.01 and P = 0.03, respectively. Forest plot values were obtained for permanent dentition (DMFT) and primary dentition (dmft), 0.57 (95% confidence interval [CI]: 1.03-0.11) and 0.36 (95% CI: 0.69-0.03), respectively. The result of the meta-analysis indicates that patients with BCLP have higher caries prevalence. Conclusion: The outcome of the study indicates a higher occurrence of caries in patients with BCLP than UCLP in both permanent and primary dentition.
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Background: The gold standard for outcome adjudication in clinical trials is chart review by a physician clinical events committee (CEC), which requires substantial time and expertise. Automated adjudication by natural language processing (NLP) may offer a more resource-efficient alternative. We previously showed that the Community Care Cohort Project (C3PO) NLP model adjudicates heart failure (HF) hospitalizations accurately within one healthcare system. Methods: This study externally validated the C3PO NLP model against CEC adjudication in the INVESTED trial. INVESTED compared influenza vaccination formulations in 5260 patients with cardiovascular disease at 157 North American sites. A central CEC adjudicated the cause of hospitalizations from medical records. We applied the C3PO NLP model to medical records from 4060 INVESTED hospitalizations and evaluated agreement between the NLP and final consensus CEC HF adjudications. We then fine-tuned the C3PO NLP model (C3PO+INVESTED) and trained a de novo model using half the INVESTED hospitalizations, and evaluated these models in the other half. NLP performance was benchmarked to CEC reviewer inter-rater reproducibility. Results: 1074 hospitalizations (26%) were adjudicated as HF by the CEC. There was high agreement between the C3PO NLP and CEC HF adjudications (agreement 87%, kappa statistic 0.69). C3PO NLP model sensitivity was 94% and specificity was 84%. The fine-tuned C3PO and de novo NLP models demonstrated agreement of 93% and kappa of 0.82 and 0.83, respectively. CEC reviewer inter-rater reproducibility was 94% (kappa 0.85). Conclusion: Our NLP model developed within a single healthcare system accurately identified HF events relative to the gold-standard CEC in an external multi-center clinical trial. Fine-tuning the model improved agreement and approximated human reproducibility. NLP may improve the efficiency of future multi-center clinical trials by accurately identifying clinical events at scale.
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INTRODUCTION: The classification and management of pulmonary hypertension (PH) is challenging due to clinical heterogeneity of patients. We sought to identify distinct multimorbid phenogroups of patients with PH that are at particularly high-risk for adverse events. METHODS: A hospital-based cohort of patients referred for right heart catheterization between 2005-2016 with PH were included. Key exclusion criteria were shock, cardiac arrest, cardiac transplant, or valvular surgery. K-prototypes was used to cluster patients into phenogroups based on 12 clinical covariates. RESULTS: Among 5208 patients with mean age 64±12 years, 39% women, we identified 5 distinct multimorbid PH phenogroups with similar hemodynamic measures yet differing clinical outcomes: (1) "young men with obesity", (2) "women with hypertension", (3) "men with overweight", (4) "men with cardiometabolic and cardiovascular disease", and (5) "men with structural heart disease and atrial fibrillation." Over a median follow-up of 6.3 years, we observed 2182 deaths and 2002 major cardiovascular events (MACE). In age- and sex-adjusted analyses, phenogroups 4 and 5 had higher risk of MACE (HR 1.68, 95% CI 1.41-2.00 and HR 1.52, 95% CI 1.24-1.87, respectively, compared to the lowest risk phenogroup 1). Phenogroup 4 had the highest risk of mortality (HR 1.26, 95% CI 1.04-1.52, relative to phenogroup 1). CONCLUSIONS: Cluster-based analyses identify patients with PH and specific comorbid cardiometabolic and cardiovascular disease burden that are at highest risk for adverse clinical outcomes. Interestingly, cardiopulmonary hemodynamics were similar across phenogroups, highlighting the importance of multimorbidity on clinical trajectory. Further studies are needed to better understand comorbid heterogeneity among patients with PH.
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Fibrilación Atrial , Cardiopatías , Hipertensión Pulmonar , Hipertensión , Masculino , Humanos , Femenino , Persona de Mediana Edad , Anciano , Hipertensión Pulmonar/genética , Análisis por ConglomeradosRESUMEN
INTRODUCTION: Functional jaw orthopaedics, produces a radical change in the occlusal scheme and the masticatory apparatus, particularly in patients with Class II malocclusion. It remains to be seen how the changes brought about by a functional appliance alter the masticatory ability of a growing child, who needs the necessary nutrition to properly grow the craniofacial region. MATERIALS AND METHODS: Pretreatment and Post-treatment values of masticatory efficiency and the distribution of the occlusal load at centric occlusion were evaluated and compared for 20 patients with Class II division 1 malocclusion undergoing functional jaw orthopaedics. RESULTS: Significant increase in the masticatory efficiency was seen during and after treatment (p < 0.5) There was an increase in the anterior distribution of occlusal load associated with a concomitant decrease in the posterior region at centric occlusion. CONCLUSION: Improvement in the masticatory efficiency was observed after treatment of a retrognathic mandible with functional jaw orthopaedics in the adolescent participants with Class II malocclusion. This highlights the importance of treatment with functional jaw orthopaedics, which apart from providing esthetic and functional improvement also improves the ability of a growing child to extract proper nutrition from his/her diet.
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Maloclusión Clase II de Angle , Ortopedia , Niño , Humanos , Masculino , Femenino , Adolescente , Estudios Prospectivos , Maloclusión Clase II de Angle/terapia , MandíbulaRESUMEN
INTRODUCTION: The increased use of social networking sites, such as Instagram (Meta Platforms, Menlo Park, Calif), has been silently affecting facial satisfaction among patients. However, the potential of Instagram to motivate participants for orthodontic treatment when used with an adjunct, a photograph editing software, is yet to be assessed. METHODS: From the initial 300 participants, 256 were included and randomly divided into an experimental group (participants were asked to provide their frontal smiling photograph) and a control group. The photographs received were corrected using photograph editing software and were shown along with other ideal smile photographs in an Instagram account to the experimental group, whereas the control group participants had access to only the ideal smile photographs. After browsing, the participants were given a modified version of the Malocclusion-Related Quality of Life Questionnaire. RESULTS: Questions assessing the general perception about one's smile, comparison with peers, desire to undergo orthodontic treatment, and the role of socioeconomic status showed a statistically significant difference (P <0.05) as most of the control group participants were unsatisfied with their teeth, had less desire to undergo orthodontic treatment and did not feel family's financial income to be a hurdle, contrary to the experimental group participants. A statistically significant difference (P <0.05) was also seen in assessing external acceptance, speech difficulties, and the influence of Instagram on orthodontic treatment, whereas the influence of photograph editing software did not show the same. CONCLUSIONS: The study concluded that the experimental group participants were motivated to undergo orthodontic treatment after viewing their corrected photograph.
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Maloclusión , Medios de Comunicación Sociales , Humanos , Sonrisa , Calidad de Vida , Maloclusión/terapia , Cara , Estética DentalRESUMEN
BACKGROUND: Artificial intelligence (AI) models applied to 12-lead ECG waveforms can predict atrial fibrillation (AF), a heritable and morbid arrhythmia. However, the factors forming the basis of risk predictions from AI models are usually not well understood. We hypothesized that there might be a genetic basis for an AI algorithm for predicting the 5-year risk of new-onset AF using 12-lead ECGs (ECG-AI)-based risk estimates. METHODS: We applied a validated ECG-AI model for predicting incident AF to ECGs from 39 986 UK Biobank participants without AF. We then performed a genome-wide association study (GWAS) of the predicted AF risk and compared it with an AF GWAS and a GWAS of risk estimates from a clinical variable model. RESULTS: In the ECG-AI GWAS, we identified 3 signals (P<5×10-8) at established AF susceptibility loci marked by the sarcomeric gene TTN and sodium channel genes SCN5A and SCN10A. We also identified 2 novel loci near the genes VGLL2 and EXT1. In contrast, the clinical variable model prediction GWAS indicated a different genetic profile. In genetic correlation analysis, the prediction from the ECG-AI model was estimated to have a higher correlation with AF than that from the clinical variable model. CONCLUSIONS: Predicted AF risk from an ECG-AI model is influenced by genetic variation implicating sarcomeric, ion channel and body height pathways. ECG-AI models may identify individuals at risk for disease via specific biological pathways.
Asunto(s)
Fibrilación Atrial , Aprendizaje Profundo , Humanos , Fibrilación Atrial/diagnóstico , Fibrilación Atrial/genética , Predisposición Genética a la Enfermedad , Inteligencia Artificial , Estudio de Asociación del Genoma Completo , ElectrocardiografíaRESUMEN
Background The objective of our study was to derive an objective assessment scale for three-dimensional (3D) qualitative and quantitative evaluation of secondary alveolar bone grafting (SABG) using cone-bone computed tomography (CBCT) in patients with unilateral cleft lip and palate (UCLP). Methods CBCT scans for pre- and 3-month post-SABG were reviewed for bone volume, height, width, and density of the bony bridge formed in the cleft defect in 20 patients with UCLP. Basic descriptive and principal component analysis was used to extract the various sub-components of the scale. Spearman's correlation was used to check the validity of the scale, and intra-class coefficient (ICC) and Cronbach's α were calculated to establish the reliability and retest applicability of the scale. Results Each CBCT scan was assessed in five areas: cementoenamel junction (CEJ), root apex, root midpoint, 3 and 6 mm below CEJ, and tabulated in percentiles of 20, 25, 40, 50, 60, and 75 for all the parameters (bone volume, density, and width). These scores were validated when correlated to the scale given by Kamperos et al. Cronbach's α for the domains demonstrated acceptable to excellent internal consistency. The ICC showed good test-retest reliability having a range of scores from 0.89 to 0.94. Conclusion The proposed scale for the 3D assessment of SABG in patients with UCLP provides gradation for the objective assessment of the bony bridge. This gradation enables the qualitative and quantitative assessments of the bony bridge, thus allowing each clinician to judge SABG more conclusively.