Abstract 13905: Gender Differences in Cardiac Implantable Electronic Devices (cieds) Among Systolic Heart Failure Hospitalizations: Aninsight From the National Inpatient Sample 2016 to 2017

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Dinesh C Voruganti ◽  
Hafeez Hassan ◽  
Aman M Amanullah ◽  
Sushma Dugyala

Background: Gender differences in systolic heart failure (HF) patients for the implantation of various cardiac implantable electronic devices (CIEDs) using ICD-10 have not been studied. We aim to explore the gender differences for each type of procedure. Methods: The National Inpatient Sample (NIS) 2016-2017 was used to obtain the hospitalizations with Systolic HF (ICD 10 CM codes I5020, I5021, I5022, I5023). Pacemaker/Defibrillator procedures were obtained using ICD 10 procedure codes. Demographic data were obtained using the variables provided in the NIS. All analysis was performed using SAS statistical software (9.4 Cary NC). Results: We identified 2,812,603 systolic HF hospitalizations from January 2016 to December 2017. Overall, two third of patients were male (62.9%). Table 1 elaborates on the demographics of these hospitalizations. Majority of hospitalizations were ascribed to white patient population (66% males were white & 63.2% females were white). Females were substantially higher Medicare beneficiaries (74.63% in females vs. 69.71% in males). Among the CIEDs, the males had a higher rates of procedure utilization compared to females (Table 2): Percutaneous insertion of defibrillator in right ventricle (1.6% in males vs. 1% in females); Insertion of defibrillator generator via sternotomy (1.1% in males vs. 0.7% in females); Percutaneous insertion of defibrillator lead in right atrium (1.1% in males vs. 0.7% in females); Cardiac resynchronization therapy-pulse generator via sternotomy (0.8% in males vs. 0.5% in females). Conclusion: Despite minimal differences in baseline characteristics, implantation of CIEDs appear to be underutilized in women. Further studies are required to confirm these findings and further explore gender differences.

2020 ◽  
Vol 4 (FI1) ◽  
pp. 1-6
Author(s):  
Fozia Zahir Ahmed ◽  
Carol Crosbie ◽  
Matthew Kahn ◽  
Manish Motwani

Abstract Background Heart failure (HF) patients with cardiac implantable electronic devices (CIEDs) represent an important cohort. They are at increased risk of hospitalization and mortality. We outline how remote-only management strategies, which leverage transmitted health-related data, can be used to optimize care for HF patients with a CIED during the COVID-19 pandemic. Case summary An 82-year-old man with HF, stable on medical therapy, underwent cardiac resynchronization therapy implantation in 2016. Modern CIEDs facilitate remote monitoring by providing real-time physiological data (thoracic impedance, heart rate and rhythm, etc.). The ‘Triage Heart Failure Risk Score’ (Triage-HFRS), available on Medtronic CIEDs, integrates several monitored physiological parameters into a risk prediction model classifying patients as low, medium, or high risk of HF events within 30 days. In November 2019, the patient was enrolled in an innovative clinical pathway (Triage-HF Plus) whereby any ‘high’ Triage-HF risk status transmission prompts a phone call-based virtual consultation. A high-risk alert was received via remote transmission on 11 March, triggering a phone call assessment. Upon reporting increasing breathlessness, diuretics were initiated. The prescription was remotely issued and delivered to the patient’s home. This approach circumvented the need for all face-to-face reviews, delivering care in an entirely remote manner. Discussion The challenges posed by COVID-19 have prompted us to think differently about how we deliver care for patients, both now and following the pandemic. Contemporary CIEDs facilitate the ability to remotely monitor HF patients by providing rich physiological data that can help identify individuals at elevated risk of decompensation using automated device-generated alerts.


2018 ◽  
pp. 1081-1088 ◽  
Author(s):  
Patrycja Pruszkowska ◽  
Radosław Lenarczyk ◽  
Jakub Gumprecht ◽  
Ewa Jedrzejczyk-Patej ◽  
Michał Mazurek ◽  
...  

2021 ◽  
Vol 10 (6) ◽  
Author(s):  
Yan‐Guang Li ◽  
Daniele Pastori ◽  
Kazuo Miyazawa ◽  
Farhan Shahid ◽  
Gregory Y. H. Lip

Background Sustained atrial high‐rate episodes (SAHREs) among individuals with a cardiac implantable electronic device are associated with an increased risk of adverse outcomes. Risk stratification for the development of SAHREs has never been investigated. We aimed to assess the performance of the C 2 HEST (coronary artery disease or chronic obstructive pulmonary disease [1 point each], hypertension [1 point], elderly [age ≥75 years, 2 points], systolic heart failure [2 points], thyroid disease [1 point]) score in predicting SAHREs in patients with cardiac implantable electronic devices without atrial fibrillation. Methods and Results Five Hundred consecutive patients with cardiac implantable electronic devices in the West Birmingham Atrial Fibrillation Project in the United Kingdom were followed since the procedure to observe the development of SAHREs, defined by atrial high‐rate episodes lasting >24 hours. Risk factors and incidence of SAHREs were analyzed. The predictive value of the C 2 HEST score for SAHRE prediction was evaluated. Over a mean follow‐up of 53.1 months, 44 (8.8%) patients developed SAHREs. SAHREs were associated with higher all‐cause mortality ( P <0.001) and ischemic stroke ( P =0.001). Age and heart failure were associated with SAHRE occurrence. The incidence of SAHREs increased by the C 2 HEST score (39% higher risk per point increase). Among patients with a C 2 HEST score ≥4, the incidence of SAHREs was 3.62% per year (95% CI, 2.14–5.16). The C 2 HEST score had moderate predictive capability (area under the curve, 0.73; 95% CI, 0.64–0.81) and discriminative ability (log‐rank P =0.003), which was better than other clinical scores (CHA 2 DS 2 ‐VASc, CHADS 2 , HATCH). Conclusions The C 2 HEST score predicted SAHRE incidence in patients without atrial fibrillation who had an cardiac implantable electronic device, with the highest risk seen in patients with a C 2 HEST score ≥4 The benefit of using the C 2 HEST score in clinical practice in this patient population needs further investigation.


2021 ◽  
Vol 22 (Supplement_1) ◽  
Author(s):  
E Galli ◽  
V Le Rolle ◽  
OA Smiseth ◽  
J Duchenne ◽  
JM Aalen ◽  
...  

Abstract Funding Acknowledgements Type of funding sources: None. Background Despite having all a systolic heart failure and broad QRS, patients proposed for cardiac resynchronization therapy (CRT) are highly heterogeneous and it remains extremely complicated to predict the impact of the device on left ventricular (LV) function and outcomes. Objectives We sought to evaluate the relative impact of clinical, electrocardiographic, and echocardiographic data on the left ventricular (LV) remodeling and prognosis of CRT-candidates by the application of machine learning (ML) approaches. Methods 193 patients with systolic heart failure undergoing CRT according to current recommendations were prospectively included in this multicentre study. We used a combination of the Boruta algorithm and random forest methods to identify features predicting both CRT volumetric response and prognosis (Figure 1). The model performance was tested by the area under the receiver operating curve (AUC). We also applied the K-medoid method to identify clusters of phenotypically-similar patients. Results From 28 clinical, electrocardiographic, and echocardiographic-derived variables, 16 features were predictive of CRT-response; 11 features were predictive of prognosis. Among the predictors of CRT-response, 7 variables (44%) pertained to right ventricular (RV) size or function. Tricuspid annular plane systolic excursion was the main feature associated with prognosis. The selected features were associated with a very good prediction of both CRT response (AUC 0.81, 95% CI: 0.74-0.87) and outcomes (AUC 0.84, 95% CI: 0.75-0.93) (Figure 1, Supervised Machine Learning Panel). An unsupervised ML approach allowed the identifications of two phenogroups of patients who differed significantly in clinical and parameters, biventricular size and RV function. The two phenogroups had significant different prognosis (HR 4.70, 95% CI: 2.1-10.0, p &lt; 0.0001; log –rank p &lt; 0.0001; Figure 1, Unsupervised Machine Learning Panel). Conclusions Machine learning can reliably identify clinical and echocardiographic features associated with CRT-response and prognosis. The evaluation of both RV-size and function parameters has pivotal importance for the risk stratification of CRT-candidates and should be systematically assessed in patients undergoing CRT. Abstract Figure 1


EP Europace ◽  
2021 ◽  
Author(s):  
Sharath Kumar ◽  
Jason Davis ◽  
Bernard Thibault ◽  
Iqwal Mangat ◽  
Benoit Coutu ◽  
...  

Abstract Aims Cardiac implantable electronic devices with device advisories have the potential of device malfunction. Remote monitoring (RM) of devices has been suggested to allow the identification of abnormal device performance and permit early intervention. We sought to describe the outcomes of patients with and without RM in devices subject to the Abbott Premature Battery Depletion (PBD) advisory with data from a Canadian registry. Methods and results Patients with an Abbott device subject to the PBD advisory from nine implantable cardioverter defibrillator (ICD) implanting centres in Canada were included in the registry. The use of RM was identified from baseline and follow-up data in the registry. The primary outcome was detection of PBD and all-cause mortality. A total of 2666 patients were identified with a device subject to the advisory. In all, 1687 patients (63.2%) had RM at baseline. There were 487 deaths during follow-up. At a mean follow-up of 5.7 ± 0.7 years, mortality was higher in those without a remote monitor compared with RM at baseline (24.7% vs. 14.5%; P &lt; 0.001). Pre-mature battery depletion was identified in 36 patients (2.1%) with RM vs. 7 (0.7%) without RM (P = 0.004). Time to battery replacement was significantly reduced in patients on RM (median 5 vs. 13 days, P = 0.001). Conclusion The use of RM in patients with ICD and cardiac resynchronization therapy under advisory improved detection of PBD, time to device replacement, and was associated with a reduction in all-cause mortality. The factors influencing the association with mortality are unknown and deserve further study.


2019 ◽  
Vol 11 (2) ◽  
pp. 81
Author(s):  
Cindy Elfira Boom ◽  
Ornella Widyapuspita

Jumlah pasien pengguna cardiac implantable electronic devices (CIEDs) atau alat elektronik kardiovaskular implan (ALEKA) hingga saat ini makin bertambah setiap tahunnya di penjuru dunia, namun masih banyak ahli anestesi yang belum nyaman dalam mengelola pelayanan perioperatif pada pasien-pasien tersebut dikarenakan kurangnya pengetahuan dan pengalaman pemrograman alat untuk menatalaksana pasien. Alat elektronik kardiovaskular implan merupakan sebuah istilah yang mencakup penggunaan alat pacu jantung untuk bradiaritmia dan implantable cardioverter defibrilator (ICD)/defibrilator kadioverter implan (DKI) untuk takiaritmia, serta cardiac resynchronization therapy (CRT)/ terapi resinkronisasi jantung (TRJ) untuk disfungsi diastolik dengan hambatan konduksi. Hingga saat ini, tercatat setidaknya lebih dari 250.000 pasien dewasa maupun anak menjalani pemasangan alat pacu jantung tiap tahunnya, oleh karena itu, penting bagi seorang dokter anestesi untuk memahami dan mampu membuat perencanaan perioperatif dengan tim multidisiplin agar dapat menurunkan morbiditas dan mortalitas pasien. Tinjauan pustaka ini dibuat untuk memberikan info seputar ALEKA dengan berfokus pada manajemen perioperatif pasien dengan ALEKA, serta algoritma tatalaksana yang dapat diimplementasikan dalam praktik sehari-hari.


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