Jae Kyeom Sim, Sang-Min Lee, Hyung Koo Kang, Kyung Chan Kim, Young Sam Kim, Yun Seong Kim, Won-Yeon Lee, Sunghoon Park, So Young Park, Ju-Hee Park, Yun Su Sim, Kwangha Lee, Yeon Joo Lee, Jin Hwa Lee, Heung Bum Lee, Chae-Man Lim, Won-Il Choi, Ji Young Hong, Won Jun Song, Gee Young Suh
Acute Crit Care. 2024;39(1):91-99. Published online January 26, 2024
Background Mechanical power (MP) has been reported to be associated with clinical outcomes. Because the original MP equation is derived from paralyzed patients under volume-controlled ventilation, its application in practice could be limited in patients receiving pressure-controlled ventilation (PCV). Recently, a simplified equation for patients under PCV was developed. We investigated the association between MP and intensive care unit (ICU) mortality.
Methods We conducted a retrospective analysis of Korean data from the Fourth International Study of Mechanical Ventilation. We extracted data of patients under PCV on day 1 and calculated MP using the following simplified equation: MPPCV = 0.098 ∙ respiratory rate ∙ tidal volume ∙ (ΔPinsp + positive end-expiratory pressure), where ΔPinsp is the change in airway pressure during inspiration. Patients were divided into survivors and non-survivors and then compared. Multivariable logistic regression was performed to determine association between MPPCV and ICU mortality. The interaction of MPPCV and use of neuromuscular blocking agent (NMBA) was also analyzed.
Results A total of 125 patients was eligible for final analysis, of whom 38 died in the ICU. MPPCV was higher in non-survivors (17.6 vs. 26.3 J/min, P<0.001). In logistic regression analysis, only MPPCV was significantly associated with ICU mortality (odds ratio, 1.090; 95% confidence interval, 1.029–1.155; P=0.003). There was no significant effect of the interaction between MPPCV and use of NMBA on ICU mortality (P=0.579).
Conclusions MPPCV is associated with ICU mortality in patients mechanically ventilated with PCV mode, regardless of NMBA use.
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Background The aim of the present study was to develop a prognostic model using demographic characteristics, comorbidities, and clinical variables measured on day 4 of mechanical ventilation (MV) for patients with prolonged acute mechanical ventilation (PAMV; MV for >96 hours).
Methods Data from 437 patients (70.9% male; median age, 68 years) were obtained over a period of 9 years. All patients were diagnosed with pneumonia. Binary logistic regression identified factors predicting mortality at 90 days after the start of MV. A PAMV prognosis score was calculating ß-coefficient values and assigning points to variables.
Results The overall 90-day mortality rate was 47.1%. Five factors (age ≥65 years, body mass index <18.5 kg/m2, hemato-oncologic diseases as comorbidities, requirement for vasopressors on day 4 of MV and requirement for neuromuscular blocking agents on day 4 of MV) were identified as prognostic indicators. Each factor was valued as +1 point, and used to develop a PAMV prognosis score. This score showed acceptable discrimination (area under the receiver operating characteristic curve of 0.695 for mortality, 95% confidence interval 0.650–0.738, p<0.001), and calibration (Hosmer–Lemeshow chi-square=6.331, with df 7 and p=0.502). The cutoff value for predicting mortality based on the maximum Youden index was ≤2 (sensitivity, 87.5%; specificity, 41.3%). For patients with PAMV scores ≤1, 2, 3 and ≥4, the 90-day mortality rates were 29.2%, 45.7%, 67.9%, and 90.9%, respectively (P<0.001).
Conclusions Our study developed a PAMV prognosis score for predicting 90-day mortality. Further research is needed to validate the utility of this score.
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Over recent decades, the use of home mechanical ventilation (HMV) has steadily increased worldwide, with varying prevalence in different countries. The key indication for HMV is chronic respiratory failure with alveolar hypoventilation (e.g., neuromuscular and chest wall disease, obstructive airway diseases, and obesity-related respiratory failure). Most modern home ventilators are pressure-targeted and have sophisticated modes, alarms, and graphics, thereby facilitating optimization of the ventilator settings. However, different ventilators have different algorithms for tidal volume estimation and leak compensation, and there are also several different circuit configurations. Hence, a basic understanding of the fundamentals of HMV is of paramount importance to healthcare workers taking care of patients with HMV. When choosing a home ventilator, they should take into account many factors, including the current condition and prognosis of the primary disease, the patient’s daily performance status, time (hr/day) needed for ventilator support, family support, and financial costs. In this review, to help readers understand the basic concepts of HMV use, we describe the indications for HMV and the factors that influence successful delivery, including interface, circuits, ventilator accessories, and the ventilator itself.
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Background Ventilator-dependent patients in the intensive care unit (ICU) who are difficult to wean from invasive mechanical ventilation (IMV) have been increasing in number. However, data on the clinical outcomes of difficult-to-wean patients are lacking. We aimed to evaluate clinical outcomes in patients discharged from the ICU with tracheostomy and ventilator dependency.
Methods We retrospectively investigated clinical course and survival in patients requiring home mechanical ventilation (HMV) with a tracheostomy and difficulty weaning from IMV during medical ICU admission from September 2013 through August 2016 at Severance Hospital, Yonsei University, Seoul, Korea.
Results Of 84 difficult-to-wean patients who were started on HMV in the medical ICU, 72 survived, were discharged from the ICU, and were included in this analysis. HMV was initiated after a median of 23 days of IMV, and the successful weaning rate was 46% (n=33). In-hospital mortality rate was significantly lower in the successfully weaned group than the unsuccessfully weaned group (0% vs. 23.1%, respectively; P=0.010). Weaning rates were similar according to primary diagnosis, but high body mass index (BMI), low Acute Physiologic Assessment and Chronic Health Evaluation (APACHE) II score at ICU admission, and absence of neuromuscular disease were associated with weaning success. After a median follow-up of 4.6 months (range, 1–27 months) for survivors, 3-month (n=64) and 6-month (n=59) survival rates were 82.5% and 72.2%, respectively. Survival rates were higher in the successfully weaned group than the unsuccessfully weaned group at 3 months (96.4% vs. 69.0%; P=0.017) and 6 months (84.0% vs. 62.1%; P=0.136) following ICU discharge.
Conclusions In summary, 46% of patients who started HMV were successfully weaned from the ventilator in general wards. High BMI, low APACHE II score, and absence of neuromuscular disease were factors associated with weaning success.
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There is no well-stated practical guideline for mechanically ventilated patients with or without acute respiratory distress syndrome (ARDS). We generate strong (1) and weak (2) grade of recommendations based on high (A), moderate (B) and low (C) grade in the quality of evidence. In patients with ARDS, we recommend low tidal volume ventilation (1A) and prone position if it is not contraindicated (1B) to reduce their mortality. However, we did not support high-frequency oscillatory ventilation (1B) and inhaled nitric oxide (1A) as a standard treatment. We also suggest high positive end-expiratory pressure (2B), extracorporeal membrane oxygenation as a rescue therapy (2C), and neuromuscular blockage for 48 hours after starting mechanical ventilation (2B). The application of recruitment maneuver may reduce mortality (2B), however, the use of systemic steroids cannot reduce mortality (2B). In mechanically ventilated patients, we recommend light sedation (1B) and low tidal volume even without ARDS (1B) and suggest lung protective ventilation strategy during the operation to lower the incidence of lung complications including ARDS (2B). Early tracheostomy in mechanically ventilated patients can be performed only in limited patients (2A). In conclusion, of 12 recommendations, nine were in the management of ARDS, and three for mechanically ventilated patients.
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BACKGROUND Intracranial hemorrhage is a serious disease associated with high mortality and morbidity, and develops suddenly without warning. Although there were known risk factors, it is difficult to prevent brain hemorrhage from critically ill patients in the intensive care unit (ICU).
There are several reports that brain hemorrhage, in critically ill patients, occurred in connection with respiratory diseases. The aim of our study is to describe the baseline characteristics and prognosis of patients with intracranial hemorrhage during mechanical ventilation in the ICU. METHODS We retrospectively reviewed the medical records of 56 patients, who developed intracranial hemorrhage in a medical ICU, from May 2008 to December 2011. During the mechanical ventilation in the ICU, patients were implemented with a weaning process, following ACCP (American College of Chest Physicians) criteria. Also, we compared patients with brain hemorrhage to those without brain hemorrhage. RESULTS Thirty two of the 56 patients (57.1%) were male, and median ages were 63 (17-90) years. The common type of brain hemorrhage confirmed was intracerebral hemorrhage/intraventricular hemorrhage (52.2%). The duration from mechanical ventilation to brain hemorrhage was 6 (0-58) days. Overall hospital mortality was 57.1%, and ICU mortality was 44.6%. The most common cause of death was brain hemorrhage (40.6%). In comparison to patients without brain hemorrhage, study patients showed less use of anticoagulants and lower ventilator pressure. Our study showed that the use of vasopressor, systolic blood pressure, peak airway pressure, and platelet count were associated with brain hemorrhage. CONCLUSIONS Intracranial hemorrhage showed high mortality in critically ill patients with mechanical ventilation. In the future, large case-control study will be needed to evaluate the risk factors of cerebral hemorrhage.
Drowning is the third leading cause of unintentional accidental death globally. The most serious pathophysiologic consequence of drowning is hypoxemia from acute respiratory distress syndrome. Herein, we report a drowning victim who presented with hypothermia and cardiac arrest, followed by acute respiratory distress syndrome, rhabdomyolysis (with acute kidney injury), and disseminated intravascular coagulopathy. Aided by advanced cardiac life support and mechanical ventilation in a prone position, the patient fully recovered after two days of hospitalization. Recovery was largely attributed to early prone ventilatory positioning and use of nitric oxide gas.
BACKGROUND Procedures in medical papers should be described in sufficient detail to allow other researchers to reproduce the results. The apparatus including anesthesia machine should be given, too. Anesthesia machine has dramatically improved as bioengineering has developed. There are several ventilator settings in modern anesthesia machines. However, it seems that only a few ventilator settings are described even though modern ventilators are used in research. The purpose of this study is to investigate that how many ventilator parameters were described in the papers of the Korean Journal of Anesthesiology from 2001 to 2006. METHODS: All of papers with human general anesthesia were reviewed except case reports, and papers regarding only induction or intubation procedures. Recruited articles were grouped into papers with strongly related to respiratory parameters (STP), and into ones with slightly related to them based on the research topics. The description of following categories was counted in each paper; the type of anesthesia machine, tidal volume, respiratory rate, inspiratory:expiratory ratio, mode of ventilation, pressure set in pressure targeted ventilation, positive end expiratory pressure, inspiratory pause, and inspiratory rising rate. RESULTS: The description rate of each parameters in STP were 36% in the type of anesthesia machine, 66% in tidal volume, 54% in respiratory rate, and 24% in inspiratory:expiratory ratio.
The other settings were seldomly mentioned. CONCLUSIONS: Description on the ventilator parameters was sometimes missed. We should describe adequate ventilator settings to reproduce the results because the modern anesthesia machine has additional ventilator options.