Measuring resilience in palliative care workers using the situational judgement test methodology.

OBJECTIVES: Relatively little research has been directed toward the assessment of resilience in the health care context. Given the stressors associated with the provision of health care, the present study describes the development and evaluation of a situational judgement test (SJT) designed to assess resilience in palliative care health care workers. METHODS: An SJT was developed to measure behaviours associated with resilience in a palliative care context. Next, SJT reliability and validity analyses were assessed in a sample of acute ward, hospice and community palliative care workers (n = 284). RESULTS: Findings showed the SJT to have a negative association with self-reported sickness absence and a positive association with well-being and employee attitudes (in terms of turnover intention, organisational commitment and job satisfaction). A series of two-wave longitudinal (hierarchical) regressions showed the SJT was predictive of well-being and employee attitudes at two time-points (4 weeks apart) over and above self-report measures of resilience, education and experience, and the Big Five personality dimensions of Emotional Stability and Openness. Reliability analyses showed the SJT to have acceptable test-retest scores (ρ = 0.71) and high internal consistency (α = 0.91). CONCLUSIONS: The study findings suggest that the SJT is a valid assessment of resilience in at-risk workers and can be used in either summative or formative assessment under the right set of conditions. More research is needed to test the hypothesis that the SJT might be used as a formative tool to develop workplace resilience.

Association between amount of biventricular pacing and heart failure status measured by a multisensor implantable defibrillator algorithm.

Background: Achieving a high biventricular pacing percentage (BiV%) is crucial for optimizing outcomes in cardiac resynchronization therapy (CRT). The HeartLogic index, a multiparametric heart failure (HF) risk score, incorporates implantable cardioverter-defibrillator (ICD)-measured variables and has demonstrated its predictive ability for impending HF decompensation. Objective: This study aimed to investigate the relationship between daily BiV% in CRT ICD patients and their HF status, assessed using the HeartLogic algorithm. Methods: The HeartLogic algorithm was activated in 306 patients across 26 centers, with a median follow-up of 26 months (25th-75th percentile: 15-37). Results: During the follow-up period, 619 HeartLogic alerts were recorded in 186 patients. Overall, daily values associated with the best clinical status (highest first heart sound, intrathoracic impedance, patient activity; lowest combined index, third heart sound, respiration rate, night heart rate) were associated with a BiV% exceeding 99%. We identified 455 instances of BiV% dropping below 98% after consistent pacing periods. Longer episodes of reduced BiV% (hazard ratio: 2.68; 95% CI: 1.02-9.72; P = .045) and lower BiV% (hazard ratio: 3.97; 95% CI: 1.74-9.06; P=.001) were linked to a higher risk of HeartLogic alerts. BiV% drops exceeding 7 days predicted alerts with 90% sensitivity (95% CI [74%-98%]) and 55% specificity (95% CI [51%-60%]), while BiV% ≤96% predicted alerts with 74% sensitivity (95% CI [55%-88%]) and 81% specificity (95% CI [77%-85%]). Conclusion: A clear correlation was observed between reduced daily BiV% and worsening clinical conditions, as indicated by the HeartLogic index. Importantly, even minor reductions in pacing percentage and duration were associated with an increased risk of HF alerts.

Performance of a multisensor implantable defibrillator algorithm for heart failure monitoring related to co-morbidities.

AIMS: The HeartLogic algorithm combines multiple implantable defibrillator (ICD) sensor data and has proved to be a sensitive and timely predictor of impending heart failure (HF) decompensation in cardiac resynchronization therapy (CRT-D) patients. We evaluated the performance of this algorithm in non-CRT ICD patients and in the presence of co-morbidities. METHODS AND RESULTS: The HeartLogic feature was activated in 568 ICD patients (410 with CRT-D) from 26 centres. The median follow-up was 26 months [25th-75th percentile: 16-37]. During follow-up, 97 hospitalizations were reported (53 cardiovascular) and 55 patients died. We recorded 1200 HeartLogic alerts in 370 patients. Overall, the time IN the alert state was 13% of the total observation period. The rate of cardiovascular hospitalizations or death was 0.48/patient-year (95% CI: 0.37-0.60) with the HeartLogic IN the alert state and 0.04/patient-year (95% CI: 0.03-0.05) OUT of the alert state, with an incidence rate ratio of 13.35 (95% CI: 8.83-20.51, P < 0.001). Among patient characteristics, atrial fibrillation (AF) on implantation (HR: 1.62, 95% CI: 1.27-2.07, P < 0.001) and chronic kidney disease (CKD) (HR: 1.53, 95% CI: 1.21-1.93, P < 0.001) independently predicted alerts. HeartLogic alerts were not associated with CRT-D versus ICD implantation (HR: 1.03, 95% CI: 0.82-1.30, P = 0.775). Comparisons of the clinical event rates in the IN alert state with those in the OUT of alert state yielded incidence rate ratios ranging from 9.72 to 14.54 (all P < 0.001) in all groups of patients stratified by: CRT-D/ICD, AF/non-AF, and CKD/non-CKD. After multivariate correction, the occurrence of alerts was associated with cardiovascular hospitalization or death (HR: 1.92, 95% CI: 1.05-3.51, P = 0.036). CONCLUSIONS: The burden of HeartLogic alerts was similar between CRT-D and ICD patients, while patients with AF and CKD seemed more exposed to alerts. Nonetheless, the ability of the HeartLogic algorithm to identify periods of significantly increased risk of clinical events was confirmed, regardless of the type of device and the presence of AF or CKD.

Implantable Cardioverter Defibrillator Multisensor Monitoring during Home Confinement Caused by the COVID-19 Pandemic.

AIMS: The utilization of remote monitoring platforms was recommended amidst the COVID-19 pandemic. The HeartLogic index combines multiple implantable cardioverter defibrillator (ICD) sensors and has proved to be a predictor of impending heart failure (HF) decompensation. We examined how multiple ICD sensors behave in the periods of anticipated restrictions pertaining to physical activity. METHODS: The HeartLogic feature was active in 349 ICD and cardiac resynchronization therapy ICD patients at 20 Italian centers. The period from 1 January to 19 July 2020, was divided into three phases: pre-lockdown (weeks 1-11), lockdown (weeks 12-20), post-lockdown (weeks 21-29). RESULTS: Immediately after the implementation of stay-at-home orders (week 12), we observed a significant drop in median activity level whereas there was no difference in the other contributing parameters. The median composite HeartLogic index increased at the end of the Lockdown. The weekly rate of alerts was significantly higher during the lockdown (1.56 alerts/week/100 pts, 95%CI: 1.15-2.06; IRR = 1.71, p = 0.014) and post-lockdown (1.37 alerts/week/100 pts, 95%CI: 0.99-1.84; IRR = 1.50, p = 0.072) than that reported in pre-lockdown (0.91 alerts/week/100 pts, 95%CI: 0.64-1.27). However, the median duration of alert state and the maximum index value did not change among phases, as well as the proportion of alerts followed by clinical actions at the centers and the proportion of alerts fully managed remotely. CONCLUSIONS: During the lockdown, the system detected a significant drop in the median activity level and generated a higher rate of alerts suggestive of worsening of the HF status.

Is 40 Joules Enough to Successfully Defibrillate With Subcutaneous Implantable Cardioverter-Defibrillators?

OBJECTIVES: This study evaluated the efficacy of conversion test performed at 40 J (defibrillation margin ≥40 J), and factors potentially associated with test failure were identified. BACKGROUND: Current subcutaneous implantable cardioverter-defibrillator (S-ICD) devices deliver a maximum of 80 J. Functional defibrillation testing is recommended at S-ICD implantation, and it is usually conducted by delivering a shock energy of 65 J to ensure a safety defibrillation margin ≥15 J. Although high rates of successful conversion were reported at 65 J, limited data exist on the defibrillation margin extent. METHODS: Ventricular fibrillation was induced and conversion test was performed by delivering a 40-J shock in 308 patients. Success was defined as termination of ventricular fibrillation by the first shock delivered in standard polarity. The S-ICD system positioning was evaluated with the PRAETORIAN score using bidirectional chest X-rays. RESULTS: The generator was positioned in an intermuscular pocket in 301 patients (98%) and the lead was implanted by means of a 2-incision technique. The PRAETORIAN score was <90 (low risk of conversion failure) in 293 (95%) patients. Overall, ventricular fibrillation termination occurred in 259 (84%) patients with 40 J. Male gender (odds ratio [OR]: 3.79; 95% confidence interval [CI]: 1.09 to 13.14; p = 0.036), body mass index (OR: 1.09; 95% CI: 1.01 to 1.19; p = 0.036), dilated cardiomyopathy with reduced ejection fraction (OR: 0.42; 95% CI: 0.20 to 0.87; p = 0.019), and PRAETORIAN score >50 (OR: 2.93; 95% CI: 1.26 to 6.83; p = 0.013) were independently associated with conversion failure. CONCLUSIONS: The authors showed a high rate of defibrillation success with 40-J shocks in S-ICD systems implanted by means of modern surgical techniques. The variables associated with shock failure were male gender, higher body mass index, and suboptimal device position according to the PRAETORIAN score.

Resilience through the lens of interactionism: a systematic review.

This systematic review presents findings from a conceptual and methodological review of resilience measures using an interactionist theoretical framework. The review is also intended to update findings from previous systematic reviews. Two databases (EBSCOHost and Scopus) were searched to retrieve empirical studies published up until 2013, with no lower time limit. All articles had to meet specific inclusion criteria, which resulted in 17 resilience measures selected for full review. Measures were conceptually evaluated against an interactionist framework and methodologically reviewed using Skinner's (1981) validity evidence framework. We conclude that inconsistencies associated with the definition and operationalization of resilience warrant further conceptual development to explain resilience as a dynamic and interactive phenomenon. In particular, measures of resilience may benefit from a greater focus on within-person variance typically associated with behavioral consistency across situations. The use of alternative measurement modalities to self-report scales, such as situational judgment tests, is proposed as a way of advancing knowledge in this area.

Delayed pericarditis and cardiac tamponade associated with active-fixation lead pacemaker in the presence of mitochondrial myopathy and Ockham's razor.

A 23-year-old male patient, with a diagnosed mitochondrial myopathy, encephalopathy, lactic acidosis and stroke-like episodes, was referred for recurrent fainting. Long sinus pauses were documented, and an atrial pacemaker with an active-fixation lead was implanted. He was admitted again 4 months later because of chest pain and diffuse ST segment changes. On the basis of these, pericarditis was diagnosed, corticosteroid therapy and the adjunct of salicylates were started, which in few hours enabled the relief of symptoms and the reduction of ECG abnormalities. However, 24 h later, the patient suddenly experienced severe hypotension and tachycardia, and an emergency echocardiogram showed pericardial tamponade. The differential diagnoses with atrial free-wall perforation and Dressler-like syndrome were discussed, along with the difficulties in management. By a 'wait and see' strategy, the active-fixation atrial lead was eventually changed into a passive-fixation one, while continuing corticosteroids and salicylates. The patient quickly improved and is now, after 1 year, symptom free. For the explanation of any phenomenon, it is important that as few assumptions as possible are considered, eliminating those that make no difference in the observable predictions of the explanatory hypothesis or theory, according to the concept of Ockham's razor.