A Predictive Model for the Long-Term Electrical Performance of a Leadless Transcatheter Pacemaker.

OBJECTIVES: This study sought to formulate a predictive model for describing the long-term electrical performance of Micra (Medtronic, Mounds View, Minnesota). BACKGROUND: The Micra leadless pacemaker is an alternative ventricular pacing option that avoids the pitfalls of transvenous leads. However, well-defined metrics to predict the long-term electrical performance of the device are lacking. METHODS: We identified all patients who underwent successful Micra implantation enrolled in the investigational device exemption study, continued access study, or post-approval registry with complete 1-year post-implantation data or system revision due to elevated thresholds (N = 1,843). The analysis endpoint was an elevated pacing capture threshold (PCT) at ≥12 months post-implantation, defined as ≥2.0 V at 0.24 ms or an increase of ≥1.5 V from implantation or need for system revision due to elevated thresholds at ≤12 months post-implantation. We evaluated for univariate and multivariate associations between patient and device characteristics at implantation and for elevated thresholds at 12 months. RESULTS: Among the total cohort, 75 patients (4.1%) had elevated thresholds at 12 months; of these, 13 required system revisions. Predictors associated with elevated thresholds in univariate analysis included the total number of deployments (excluded from the multivariable model), impedance and PCT at implantation, male sex, history of diabetes, and ischemic cardiomyopathy. Multivariable regression modeling found that male sex, history of diabetes, implantation PCT of ≥2 V, and impedance of <800 Ω were independent predictors of elevated PCT at 12 months (all p < 0.05). CONCLUSION: A history of diabetes, male sex, elevated PCT, and low impedance at implantation were independent predictors of elevated thresholds at 12 months. These metrics represent the foundation of a simple tool to aid in procedural decision making.

Long-Term Neurocognitive Outcome in Patients With Continuous Flow Left Ventricular Assist Device.

OBJECTIVES: The authors sought to examine the long-term cognitive outcome of patients with continuous flow left ventricular assist device (CF-LVAD). BACKGROUND: Data on long-term neurocognitive outcome in LVAD are limited. We examined the neurocognitive outcome of patients who received a CF-LVAD as destination therapy. METHODS: Patients with HeartWare (HVAD) and HeartMate II who were enrolled in the ENDURANCE and ENDURANCE Supplemental trials were eligible. Cognition was evaluated with neuropsychological testing preoperatively and at 6, 12, and 24 months after implantation. General linear models identified demographic, disease, and treatment factors that predicted decline on each neurocognitive measure. RESULTS: Of 668 patients who completed baseline testing and at least 1 follow-up evaluation, 552 were impaired at baseline on at least 1 cognitive measure. At each follow-up, approximately 23% of tested patients declined and 20% improved relative to baseline on at least 1 cognitive measure. Of those who were intact at baseline, only 10%-12% declined in delayed memory and 11%-16% declined in executive function at all 3 follow-ups. For patients impaired at baseline, delayed memory decline was associated with the HVAD device and male sex, whereas executive function decline was associated with the HVAD device and stroke during CF-LVAD support. For patients intact at baseline, male sex and history of hypertension were associated with decline in immediate memory and executive function, respectively. CONCLUSIONS: Neurocognitive function remained stable or improved for most patients (∼80%) with CF-LVAD at 6, 12, and 24 months after implantation. Male sex, hypertension, HVAD, and stroke were associated with cognitive decline.

Potential drug interactions and chemotoxicity in older patients with cancer receiving chemotherapy.

PURPOSE: Increased risk of drug interactions due to polypharmacy and aging-related changes in physiology among older patients with cancer is further augmented during chemotherapy. No previous studies examined potential drug interactions (PDIs) from polypharmacy and their association with chemotherapy tolerance in older patients with cancer. METHODS: This study is a retrospective medical chart review of 244 patients aged 70+ years who received chemotherapy for solid or hematological malignancies. PDI among all drugs, supplements, and herbals taken with the first chemotherapy cycle were screened for using the Drug Interaction Facts software, which classifies PDIs into five levels of clinical significance with level 1 being the highest. Descriptive and correlative statistics were used to describe rates of PDI. The association between PDI and severe chemotoxicity was tested with logistic regressions adjusted for baseline covariates. RESULTS: A total of 769 PDIs were identified in 75.4% patients. Of the 82 level 1 PDIs identified among these, 32 PDIs involved chemotherapeutics. A large proportion of the identified PDIs were of minor clinical significance. The risk of severe non-hematological toxicity almost doubled with each level 1 PDI (OR=1.94, 95% CI: 1.22-3.09), and tripled with each level 1 PDI involving chemotherapeutics (OR=3.08, 95% CI: 1.33-7.12). No association between PDI and hematological toxicity was found. CONCLUSIONS: In this convenience sample of older patients with cancer receiving chemotherapy we found notable rates of PDI and a substantial adjusted impact of PDI on risk of non-hematological toxicity. These findings warrant further research to optimize chemotherapy outcomes.