Cognition predicts days-alive-out-of-hospital after LVAD implantation

2021 ◽  
pp. 039139882110184
Author(s):  
Marykay A Pavol ◽  
Amelia K Boehme ◽  
Melana Yuzefpolskaya ◽  
Mathew S Maurer ◽  
Jesus Casida ◽  
...  
Keyword(s):  
Linear Regression ◽  
Regression Model ◽  
Linear Regression Model ◽  
Left Ventricular ◽  
Motor Speed ◽  
Ventricular Assist ◽  
Hospitalization Rates ◽  
Left Ventricular Assist ◽  
Patient Groups ◽  
The Impact

Objective: Cognition influences hospitalization rates for a variety of patient groups but this association has not been examined in heart failure (HF) patients undergoing left ventricular assist device (LVAD) implantation. We used cognition to predict days-alive-out-of-hospital (DAOH) in patients after LVAD surgery. Methods: We retrospectively identified 59 HF patients with cognitive assessment prior to LVAD. Cognitive tests of attention, memory, language, and visual motor speed were averaged into one score. DAOH was converted to a percentage based on total days from LVAD surgery to either heart transplant or 900 days post-LVAD. Variables significantly associated with DAOH in univariate analyses were included in a linear regression model to predict DAOH. Results: A linear regression model including LVAD type (continuous or pulsatile flow) and cognition significantly predicted DAOH (F(2,54) = 6.44, p = 0.003, R2 = .19). Inspection of each variable revealed that cognition was a significant predictor in the model (β = .11, SE = .04, p = 0.007) but LVAD type was not ( p = 0.08). Conclusions: Cognitive performance assessed prior to LVAD implantation predicted how much time patients spent out of the hospital following surgery. Further studies are warranted to identify the impact of pre-LVAD cognition on post-LVAD hospitalization.

Abstract 15226: The Impact of Chronic Obstructive Pulmonary Disease on In-hospital Outcomes Following Left Ventricular Assist Device Implantation

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Bertrand Ebner ◽  
Jennifer Maning ◽  
Louis Vincent ◽  
Jelani Grant ◽  
neal olarte ◽  
...  
Keyword(s):  
Chronic Obstructive Pulmonary Disease ◽  
Left Ventricular Assist Device ◽  
Left Ventricular ◽  
Chronic Obstructive ◽  
Assist Device ◽  
Hospital Outcomes ◽  
Ventricular Assist ◽  
Obstructive Pulmonary Disease ◽  
Left Ventricular Assist ◽  
The Impact

Background: Chronic obstructive pulmonary disease (COPD) is well-known cause of ventricular dysfunction. However, in the setting of patients with advanced heart failure undergoing left ventricular assist device (LVAD) implantation, there is paucity data on COPD influence on in-hospital outcomes. Methods: This retrospective cohort study based on the Nationwide Inpatient Sample included all patients above 18 years all who underwent LVAD implantation from 2011 to 2017. All data was weight as recommended by Healthcare Cost and Utilization Project.Multivariate logistic regression was used to evaluate the impact of COPD on in-hospital outcomes. Results: A total of 25,503 patients underwent LVAD implantation, of those 13.8% had a pre-existing diagnosis of COPD. Individuals with COPD were older (median 62 vs. 58 years, p<0.001), more commonly male (82% vs. 76.4%, p<0.001). Patient with COPD had a greater burden of comorbidities confirmed by significant higher rate of hypertension, diabetes, atrial tachyarrhythmias, dyslipidemia, prior stroke, coronary and peripheral artery diseases, pulmonary hypertension, and chronic kidney disease (p<0.001 for all). No significant difference was found in in-hospital stroke, infections, short-term percutaneous mechanical circulatory support, implant related complications, and LVAD thrombosis. There was a significant higher rate of inpatient acute kidney injury, major bleeding, cardiac complications, thromboembolism, and cardiac arrest in patients without COPD (p<0.05 for all outcomes). Compared to patients without COPD, individuals with COPD had a lower mortality (6.2% vs. 12.4%; OR 0.59; C.I. 0.512-0.685; p<0.05). Conclusion: Patients with COPD undergoing LVAD implantation have higher comorbidities, however, it is not associated with increase in-hospital all-cause mortality.Further studies are needed to analyze the differences found between these two groups in more detail.

scholarly journals A Linear Regression Model for THD Sensitivity in PV Based Microgrid with Varying Insolation Levels

2022 ◽  
pp. 179-186
Author(s):  
Yuvraj Praveen Soni ◽  
Eugene Fernandez
Keyword(s):  
Linear Regression ◽  
Regression Model ◽  
Linear Regression Model ◽  
Solar Irradiance ◽  
Harmonic Distortion ◽  
System Control ◽  
Solar Pv ◽  
Pv System ◽  
Simulink Model ◽  
The Impact

Solar PV systems can be used for powering small microgrids in rural area of developing countries. Generally, a solar power microgrid consists of a PV array, an MPPT, a dc-dc converter and an inverter, particularly as the general loads are A.C in nature. In a PV system, reactive current, unbalancing in currents, and harmonics are generated due to the power electronics-based converters as well as nonlinear loads (computers induction motors etc). Thus, estimation of the harmonics levels measured by the Total Harmonic Distortion (THD) is an essential aspect of performance assessment of a solar powered microgrid. A major issue that needs to be examined is the impact of PV system control parameters on the THD. In this paper, we take up this assessment for a small PV based rural microgrid with varying levels of solar irradiance. A Simulink model has been developed for the study from which the THD at equilibrium conditions is estimated. This data is in turn used to design a generalized Linear Regression Model, which can be used to observe the sensitivity of three control variables on the magnitude of the THD. These variables are: Solar Irradiance levels, Power Factor (PF) of connected load magnitude of the connected load (in kVA) The results obtained show that the greatest sensitivity is obtained for load kVA variation.

scholarly journals Percutaneous left ventricular assist support is associated with less pulmonary congestion and lower rate of pneumonia in patients with cardiogenic shock

Open Heart ◽  
2020 ◽  
Vol 7 (2) ◽  
pp. e001385
Author(s):  
Sandra Haberkorn ◽  
Angelika Uwarow ◽  
Jean Haurand ◽  
Christian Jung ◽  
Malte Kelm ◽  
...  
Keyword(s):  
Cardiogenic Shock ◽  
Left Ventricular Assist Device ◽  
Ventricular Assist Device ◽  
Left Ventricular ◽  
Apache Ii Score ◽  
Pulmonary Congestion ◽  
Assist Device ◽  
Ventricular Assist ◽  
Left Ventricular Assist ◽  
The Impact

ObjectivesThe aim of this study was to investigate the impact of acute left ventricular unloading by percutaneous left ventricular assist device on pulmonary congestion and pneumonia in patients with cardiogenic shock (CS).MethodsIn this retrospective study, we analysed patients with CS who received the Impella percutaneous left ventricular assist device (n=50) compared with those who received intra-aortic balloon pump (IABP) support (n=50). Pulmonary congestion was longitudinally assessed while on support by calculating characteristic findings on the chest X-ray using the Halperin score. The rate of pneumonia and early mortality were assessed as a secondary endpoint.ResultsThe groups (Impella vs IABP) did not differ in terms of age, Sequential Organ Failure Assessment (SOFA) score, Acute Physiology, Chronic Health Evaluation (APACHE) II score or serum lactate levels. Pulmonary congestion decreased in patient treated with Impella at each time point postimplantation. No change in congestion status was observed in patients supported with IABP. Multivariate analysis indicated Impella support as an independent predictor for pulmonary decongestion (OR 4.06, 95% CI 1.15 to 14.35, p=0.030). The rate of early pneumonia was lower in the Impella group compared with the IABP group (54% vs 74%, p=0.037). Failure of pulmonary decongestion during mechanical circulatory support independently predicted early pneumonia (OR 0.28, 95% CI 0.12 to 0.70, p=0.006).ConclusionPulmonary decongestion may facilitate treatment of pneumonia in patients with CS. Left ventricular unloading by Impella device might support pulmonary decongestion, although a larger prospective trial in this patient population is required.

scholarly journals A Multi Linear Regression Model to Derive Dust PM10 in the Sahel Using AERONET Aerosol Optical Depth and CALIOP Aerosol Layer Products

2020 ◽  
Vol 12 (18) ◽  
pp. 3099
Author(s):  
Jean-François Léon ◽  
Nadège Martiny ◽  
Sébastien Merlet
Keyword(s):  
Linear Regression ◽  
Regression Model ◽  
Aerosol Optical Depth ◽  
Optical Depth ◽  
Linear Regression Model ◽  
Population Exposure ◽  
Aerosol Layer ◽  
Multi Linear Regression ◽  
Sun Photometer ◽  
The Impact

Due to a limited number of monitoring stations in Western Africa, the impact of mineral dust on PM10 surface concentrations is still poorly known. We propose a new method to retrieve PM10 dust surface concentrations from sun photometer aerosol optical depth (AOD) and CALIPSO/CALIOP Level 2 aerosol layer products. The method is based on a multi linear regression model that is trained using co-located PM10, AERONET and CALIOP observations at 3 different locations in the Sahel. In addition to the sun photometer AOD, the regression model uses the CALIOP-derived base and top altitude of the lowermost dust layer, its AOD, the columnar total and columnar dust AOD. Due to the low revisit period of the CALIPSO satellite, the monthly mean annual cycles of the parameters are used as predictor variables rather than instantaneous observations. The regression model improves the correlation coefficient between monthly mean PM10 and AOD from 0.15 (AERONET AOD only) to 0.75 (AERONET AOD and CALIOP parameters). The respective high and low PM10 concentration during the winter dry season and summer season are well produced. Days with surface PM10 above 100 μg/m3 are better identified when using the CALIOP parameters in the multi linear regression model. The number of true positives (actual and predicted concentrations above the threshold) is increased and leads to an improvement in the classification sensitivity (recall) by a factor 1.8. Our methodology can be extrapolated to the whole Sahel area provided that satellite derived AOD maps are used in order to create a new dataset on population exposure to dust events in this area.

Myocardial recovery: a focus on the impact of left ventricular assist devices

2014 ◽  
Vol 12 (5) ◽  
pp. 589-600 ◽  
Author(s):  
M Scott Halbreiner ◽  
Vincent Cruz ◽  
Randall Starling ◽  
Edward Soltesz ◽  
Nicholas Smedira ◽  
...  
Keyword(s):  
Left Ventricular ◽  
Ventricular Assist Devices ◽  
Left Ventricular Assist Devices ◽  
Myocardial Recovery ◽  
Ventricular Assist ◽  
Assist Devices ◽  
Left Ventricular Assist ◽  
The Impact

scholarly journals Influence of the key account manager in the provisioning management: Evidence from staple companies during the events of COVID-19

Accounting ◽  
2022 ◽  
Vol 8 (2) ◽  
pp. 161-170 ◽  
Author(s):  
Luis-Ricardo Flores-Vilcapoma ◽  
Cynthia-Paola A lbengrin-Mendoza ◽  
Gabriela-Briggite Gomez-Rojas ◽  
Yuri Sánchez-Solis ◽  
Wagner Vicente-Ramos
Keyword(s):  
Experimental Design ◽  
Linear Regression ◽  
Correlation Analysis ◽  
Regression Model ◽  
Multiple Linear Regression ◽  
Linear Regression Model ◽  
Multiple Linear Regression Model ◽  
Cross Sectional ◽  
Key Account ◽  
The Impact

The purpose of this research was to evaluate the degree of influence exercised by the Key Account Manager in the provisioning management in the main companies called Staple in Peru, during the events of COVID-19. The research was of type quantitative, cross-sectional and temporal, with a non-experimental design, using a multiple linear regression model and correlation analysis to determine the impact that exists between the variables. The data belongs to the Industrias San Miguel company, distributed in a weekly period from June 2019 to March 2021, which gives 88 observations. The results allow us to conclude that the Key Account Manager is an important manager of the supply of goods during the crisis caused by COVID-19 in staple companies.

Sign in / Sign up

Export Citation Format

Share Document