Clinical impact of remote heart failure management using the multiparameter ICD HeartLogic alert.

INTRODUCTION AND OBJECTIVES: The multiparametric implantable cardioverter-defibrillator HeartLogic index has proven to be a sensitive and timely predictor of impending heart failure (HF) decompensation. We evaluated the impact of a standardized follow-up protocol implemented by nursing staff and based on remote management of alerts. METHODS: The algorithm was activated in HF patients at 19 Spanish centers. Transmitted data were analyzed remotely, and patients were contacted by telephone if alerts were issued. Clinical actions were implemented remotely or through outpatient visits. The primary endpoint consisted of HF hospitalizations or death. Secondary endpoints were HF outpatient visits. We compared the 12-month periods before and after the adoption of the protocol. RESULTS: We analyzed 392 patients (aged 69±10 years, 76% male, 50% ischemic cardiomyopathy) with implantable cardioverter-defibrillators (20%) or cardiac resynchronization therapy defibrillators (80%). The primary endpoint occurred 151 times in 86 (22%) patients during the 12 months before the adoption of the protocol, and 69 times in 45 (11%) patients (P<.001) during the 12 months after its adoption. The mean number of hospitalizations per patient was 0.39±0.89 pre- and 0.18±0.57 postadoption (P<.001). There were 185 outpatient visits for HF in 96 (24%) patients before adoption and 64 in 48 (12%) patients after adoption (P<.001). The mean number of visits per patient was 0.47±1.11 pre- and 0.16±0.51 postadoption (P<.001). CONCLUSIONS: A standardized follow-up protocol based on remote management of HeartLogic alerts enabled effective remote management of HF patients. After its adoption, we observed a significant reduction in HF hospitalizations and outpatient visits.

Remote heart failure management using the HeartLogic algorithm. RE-HEART registry.

INTRODUCTION AND OBJECTIVES: HeartLogic is a multiparametric algorithm incorporated into implantable cardioverter-defibrillators (ICD). The associated alerts predict impending heart failure (HF) decompensations. Our objective was to analyze the association between alerts and clinical events and to describe the implementation of a protocol for remote management in a multicenter registry. METHODS: We evaluated study phase 1 (the investigators were blinded to the alert state) and phases 2 and 3 (after HeartLogic activation, managed as per local practice and with a standardized protocol, respectively). RESULTS: We included 288 patients from 15 centers. In phase 1, the median observation period was 10 months and there were 73 alerts (0.72 alerts/patient-y), with 8 hospitalizations and 2 emergency room admissions for HF (0.10 events/patient-y). There were no HF hospitalizations outside the alert period. In the active phases, the median follow-up was 16 (95%CI, 15-22) months and there were 277 alerts (0.89 alerts/patient-y); 33 were associated with HF hospitalizations or HF death (n=6), 46 with minor decompensations, and 78 with other events. The unexplained alert rate was 0.39 alerts/patient-y. Outside the alert state, there was only 1 HF hospitalization and 1 minor HF decompensation. Most alerts (82% in phase 2 and 81% in phase 3; P=.861) were remotely managed. The median NT-proBNP value was higher within than outside the alert state (7378 vs 1210 pg/mL; P <.001). CONCLUSIONS: The HeartLogic index was frequently associated with HF-related events and other clinically relevant situations, with a low rate of unexplained events. A standardized protocol allowed alerts to be safely and remotely detected and appropriate action to be taken on them.

Long term clinical outcomes in survivors after out-of-hospital cardiac arrest.

INTRODUCTION AND OBJECTIVES: Information regarding long-term outcomes in patients surviving out-of-hospital cardiac arrest (OHCA) is scarce. Our aim was to study the long-term clinical outcomes of a large cohort of OHCA patients surviving until hospital discharge and to identify predictors of mortality and cardiovascular events. METHODS: Consecutive OHCA patients admitted in the Acute Cardiac Care Unit who survived at least until hospital discharge between 2007 and 2019 were included. All received therapeutic hypothermia according to the local protocol. Pre- and intra-hospital clinical and analytical variables were analyzed, as well as the clinically relevant events during follow-up. RESULTS: A total of 201 patients were included, with a mean age of 57.6 ± 14.2 years, 168 (83.6%) were male. Thirty-six (17.9%) died during a median follow-up of 40.3 months (18.9-69.1), the most frequent causes of death being cardiovascular and neurological, followed by cancer. We calculated a predictive model for mortality during follow-up using Cox regression that included the following variables: poor neurological outcome [HR 3.503 (1.578-7.777)], non-shockable rhythm [HR 2.926 (1.390-6.163)], time to onset of CPR [HR 1.063 (0.997-1.134)], older age [1.036 (1.008-1.064)) and worse ejection fraction at discharge [1.033 (1.009-1.058)]. CONCLUSIONS: Even though few patients experience recurrent cardiac arrest events, survivors after OHCA face high morbidity and mortality during long-term follow-up. Therefore, they may benefit from multidisciplinary teams providing an integral management and ensuring continuity of care.

Respuesta al ECG de enero de 2017 / Response to ECG, January 2017

No disponible

ECG de enero de 2017 / ECG, January 2017

No disponible

Electrocardiographic changes during induced therapeutic hypothermia in comatose survivors after cardiac arrest.

AIM: To assess the safety of therapeutic hypothermia (TH) concerning arrhythmias we analyzed serial electrocardiograms (ECG) during TH. METHODS: All patients recovered from a cardiac arrest with Glasgow < 9 at admission were treated with induced mild TH to 32-34 °C. TH was obtained with cool fluid infusion or a specific intravascular device. Twelve-lead ECG before, during, and after TH, as well as ECG telemetry data was recorded in all patients. From a total of 54 patients admitted with cardiac arrest during the study period, 47 patients had the 3 ECG and telemetry data available. ECG analysis was blinded and performed with manual caliper by two independent cardiologists from blinded copies of original ECG, recorded at 25 mm/s and 10 mm/mV. Coronary care unit staff analyzed ECG telemetry for rhythm disturbances. Variables measured in ECG were rhythm, RR, PR, QT and corrected QT (QTc by Bazett formula, measured in lead v2) intervals, QRS duration, presence of Osborn's J wave and U wave, as well as ST segment displacement and T wave amplitude in leads II, v2 and v5. RESULTS: Heart rate went down an average of 19 bpm during hypothermia and increased again 16 bpm with rewarming (P < 0.0005, both). There was a non-significant prolongation of the PR interval during TH and a significant decrease with rewarming (P = 0.041). QRS duration significantly prolonged (P = 0.041) with TH and shortened back (P < 0.005) with rewarming. QTc interval presented a mean prolongation of 58 ms (P < 0.005) during TH and a significant shortening with rewarming of 22.2 ms (P = 0.017). Osborn or J wave was found in 21.3% of the patients. New arrhythmias occurred in 38.3% of the patients. Most frequent arrhythmia was non-sustained ventricular tachycardia (19.1%), followed by severe bradycardia or paced rhythm (10.6%), accelerated nodal rhythm (8.5%) and atrial fibrillation (6.4%). No life threatening arrhythmias (sustained ventricular tachycardia, polymorphic ventricular tachycardia or ventricular fibrillation) occurred during TH. CONCLUSION: A 38.3% of patients had cardiac arrhythmias during TH but without life-threatening arrhythmias. A concern may rise when inducing TH to patients with long QT syndrome.

Do patients with ST segment elevation myocardial infarction in Killip class I need intensive cardiac care after a successful primary percutaneous intervention?

BACKGROUND AND OBJECTIVE: There are limited data regarding the need for intensive care or the appropriate length of hospital stay for patients with ST elevation acute myocardial infarction (STEMI). In order to optimize resources, we tried to determine the need of coronary care unit (CCU) admission for patients with STEMI who remained in Killip class I after a successful primary percutaneous coronary intervention (PPCI). METHODS: From August of 2006 till June of 2008, we analyzed data from all patients admitted in our CCU who met these criteria, a total of 278. We prospectively recorded all in-hospital adverse events and event-free survival at 30 and 90 days (all cause death, stroke, new acute coronary syndrome or re-hospitalization due to heart failure). Medical treatment was optimized according to the current guidelines. RESULTS: A coronary stent was implanted in 96% of the patients. None of the patients had any adverse event that could not be resolved in a step-down unit. Survival at 30 and at 90 days was 99.6% and 98.3% respectively. Event-free survival was 97.3% at 30 days and 94.3% at 90 days. The median length of stay was three days in the CCU and five days in the hospital. CONCLUSION: Patients with STEMI treated with PPCI who remained in Killip class I after the procedure and receive optimal pharmacological treatment have an excellent prognosis. All of them can probably be admitted safely to a step-down unit. Wide application of this management strategy may result in substantial cost savings.

Rupture of a thoracic aorta pseudoaneurysm: rare presentation and role of real-time 3D transoesophageal echocardiography.

A 59-year-old man presented with cardiogenic shock caused by acute right ventricular failure due to extrinsic compression of the right coronary artery by a thoracic aorta pseudoaneurysm. Angiography and real-time 3D transoesophageal echocardiography (TEE) were performed and enough diagnostic accuracy was achieved to operate on the patient without further image techniques and consequent delay. Three-dimensional TEE is a new technology that combines high-quality anatomic and colour Doppler information with bedside performance, essential in emergent clinical scenarios.