8 research outputs found

    Association between the National Health Insurance coverage benefit extension policy and clinical outcomes of ventilated patients: a retrospective study

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    Background This study aimed to investigate the association between the Korean National Health Insurance coverage benefit extension policy and clinical outcomes of patients who were ventilated owing to various respiratory diseases. Methods Data from 515 patients (male, 69.7%; mean age, 69.8±12.1 years; in-hospital mortality rate, 28.3%) who were hospitalized in a respiratory intensive care unit were retrospectively analyzed over 5 years. Results Of total enrolled patients, 356 (69.1%) had one benefit items under this policy during their hospital stay. They had significantly higher medical expenditure (total: median, 23,683 vs. 12,742 U.S. dollars [USD], P<0.001), out-of-pocket (median, 5,932 vs. 4,081 USD; P<0.001), and a lower percentage of out-of-pocket medical expenditure relative to total medical expenditure (median, 26.0% vs. 32.2%; P<0.001). Patients without benefit items associated with higher in-hospital mortality (hazard ratio [HR], 2.794; 95% confidence interval [CI], 1.980–3.941; P<0.001). In analysis of patients with benefit items, patients with three items (“cancer,” “tuberculosis,” and “disability”) had significantly lower out-of-pocket medical expenditure (3,441 vs. 6,517 USD, P<0.001), and a lower percentage of out-of-pocket medical expenditure relative to total medical expenditure (17.2% vs. 27.7%, P<0.001). They were associated with higher in-hospital mortality (HR, 3.904; 95% CI, 2.533–6.039; P<0.001). Conclusions Our study showed patients with benefit items had more medical resources and associated improved in-hospital survival. Patients with the aforementioned three benefit items had lower out-of-pocket medical expenditure due to the implementation of this policy, but higher in-hospital mortality

    Association between Participation in a Rehabilitation Program and 1-Year Survival in Patients Requiring Prolonged Mechanical Ventilation

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    Background The present study evaluated the association between participation in a rehabilitation program during a hospital stay and 1-year survival of patients requiring at least 21 days of mechanical ventilation (prolonged mechanical ventilation [PMV]) with various respiratory diseases as their main diagnoses that led to mechanical ventilation. Methods Retrospective data of 105 patients (71.4% male, mean age 70.1±11.3 years) who received PMV in the past 5 years were analyzed. Rehabilitation included physiotherapy, physical rehabilitation, and dysphagia treatment program that was individually provided by physiatrists. Results The main diagnosis leading to mechanical ventilation was pneumonia (n=101, 96.2%) and the 1-year survival rate was 33.3% (n=35). One-year survivors had lower Acute Physiology and Chronic Health Evaluation (APACHE) II score (20.2±5.8 vs. 24.2±7.5, p=0.006) and Sequential Organ Failure Assessment score (6.7±5.6 vs. 8.5±2.7, p=0.001) on the day of intubation than non-survivors. More survivors participated in a rehabilitation program during their hospital stays (88.6% vs. 57.1%, p=0.001). The rehabilitation program was an independent factor for 1-year survival based on the Cox proportional hazard model (hazard ratio, 3.513; 95% confidence interval, 1.785 to 6.930; p<0.001) in patients with APACHE II scores ≤23 (a cutoff value based on Youden’s index). Conclusion Our study showed that participation in a rehabilitation program during hospital stay was associated with an improvement of 1-year survival of PMV patients who had less severe illness on the day of intubation

    A Predictive Model for Dysphagia after Ventilator Liberation in Severe Pneumonia Patients Receiving Tracheostomy: A Single-Center, Observational Study

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    The main purpose of this study was to develop a model predictive of dysphagia in hospital survivors with severe pneumonia who underwent tracheostomy during their hospital stay. The present study included 175 patients (72% male; mean age, 71.3 years) over 5 years. None of these patients had a history of deglutition disorder before hospital admission. Binary logistic regression analysis was performed to identify factors predicting dysphagia at hospital discharge. Dysphagia scores were calculated from &beta;-coefficients and by assigning points to variables. Of the enrolled patients, 105 (60%) had dysphagia at hospital discharge. Factors prognostic of dysphagia at hospital discharge included being underweight (body mass index &lt; 18.5 kg/m2), non-participation in a dysphagia therapy program, mechanical ventilation &ge; 15 days, age &ge; 74 years, and chronic neurologic diseases. Underweight and non-participation in a dysphagia therapy program were assigned +2 points and the other factors were assigned +1 point. Dysphagia scores showed acceptable discrimination (area under the receiver operating characteristic curve for dysphagia 0.819, 95% confidence interval: 0.754&ndash;0.873, p &lt; 0.001) and calibration (Hosmer&ndash;Lemeshow chi-square = 9.585, with df 7 and p = 0.213). The developed dysphagia score was predictive of deglutition disorder at hospital discharge in tracheostomized patients with severe pneumonia

    Development of a Prognostic Scoring System for Tracheostomized Patients Requiring Prolonged Ventilator Care: A Ten-Year Experience in a University-Affiliated Tertiary Hospital

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    Background and Objectives: This study aimed to assess the value of a novel prognostic model, based on clinical variables, comorbidities, and demographic characteristics, to predict long-term prognosis in patients who received mechanical ventilation (MV) for over 14 days and who underwent a tracheostomy during the first 14 days of MV. Materials and Methods: Data were obtained from 278 patients (66.2% male; median age: 71 years) who underwent a tracheostomy within the first 14 days of MV from February 2011 to February 2021. Factors predicting 1-year mortality after the initiation of MV were identified by binary logistic regression analysis. The resulting prognostic model, known as the tracheostomy-ProVent score, was computed by assigning points to variables based on their respective ß-coefficients. Results: The overall 1-year mortality rate was 64.7%. Six factors were identified as prognostic indicators: platelet count 3/μL, PaO2/FiO2 2, albumin concentration p p = 0.949). Based on the maximum Youden index, the cut-off value for predicting mortality was set at ≥2, with a sensitivity of 67.4% and a specificity of 76.3%. Conclusions: The tracheostomy-ProVent score is a good predictive tool for estimating 1-year mortality in tracheostomized patients undergoing MV for >14 days. This comprehensive model integrates clinical variables and comorbidities, enhancing the precision of long-term prognosis in these patients

    Ability of the modified NUTRIC score to predict mortality in patients requiring short-term prolonged acute mechanical ventilation: a retrospective cohort study

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    Background: The modified NUTRIC (nutritional risk in the critically ill) score has been reported to predict clinical outcomes in critically ill patients. However, the applicability of this score may differ between patients undergoing short-term mechanical ventilation (STMV, < 96 h) and those undergoing prolonged acute mechanical ventilation (PAMV, ⩾96 h), as PAMV patients typically experience significantly higher morbidity and mortality. Objective: This study aimed to investigate the predictive ability of modified NUTRIC score for predicting 28-day mortality in patients receiving STMV and PAMV. Design: Retrospective single-center cohort study. Methods: We enrolled patients who received mechanical ventilation (MV) on the day of admission to the intensive care unit (ICU) from 1 December 2015 to 30 November 2020. Modified NUTRIC scores were calculated based on the clinical data of each patient at ICU admission. Results: The study population comprised 464 patients, including 319 (68.8%) men with a mean age of 69.7 years. Among these patients, 132 (28.4%) received STMV and 332 (71.6%) received PAMV. The overall 28-day mortality rate was 26.7%, which was significantly higher in STMV patients than in PAMV patients (37.9% versus 22.3%, p  < 0.001). Evaluation of the predictive performance of the modified NUTRIC score for 28-day mortality revealed areas under the receiver operating characteristic curves of 0.672 [95% confidence interval (CI): 0.627–0.714] for total patients, 0.819 (95% CI, 0.742–0.880) for STMV patients, and 0.595 (95% CI, 0.540–0.648) for PAMV patients. The best overall cutoff value was 5 in total, STMV, and PAMV patients. This cutoff value was a significant predictor of 28-day mortality based on the Cox proportional hazard model for total [hazards ratio (HR): 2.681; 95% CI: 1.683–4.269] and STMV (HR: 5.725; 95% CI: 2.057–15.931) patients, but not for PAMV patients. Conclusion: The modified NUTRIC score is more effective in predicting 28-day mortality in patients undergoing STMV than in those undergoing PAMV

    Electric-field-driven electrochemical CO2 reduction of sharpened Sn/ Cu catalysts

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    Sharpening of noble metal catalysts has been proven to enhance the performance of CO2 electrochemical reduction to CO. However, this approach has not been validated for non-precious metal catalysts such as Cubased bimetallic catalysts. Moreover, the morphology of sharpened catalysts was relatively random and nonuniform, making it difficult to quantify the curvature of nanostructures. Here, we experimentally studied the relationship between sharpness of Sn/Cu catalysts with their activity through the fabrication of Sn/Cu foil, rods, and cones. The Sn/Cu catalysts were fabricated by template-based nanoimprint lithography, electroplating of Cu film, and electroless coating of Sn nanoparticles. The finite-element-based simulation provides evidence that the local electric field intensified as the curvature of catalysts increased. As a result, Sn/Cu cones exhibited much better faradaic efficiency of CO (FECO) = 82.7% and current density of CO (jCO) = 5.43 mA/cm2 than Sn/Cu foil (FECO = 41.3% and jCO = 2.29 mA/cm2) and Sn/Cu rods (FECO = 59.7% and jCO = 3.87 mA/cm2). This work reveals that the local electric field induced by the sharp tip plays a significant role in improving the FECO and lowering the onset potential of CO2 reduction reaction.11Nsciescopu
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