Background Pediatric acute respiratory distress syndrome (PARDS) has a mortality rate of up to 75%, which can be up to 90% in high-risk patients. Even with the use of advanced ventilation strategies, mortality remains unacceptably high at 40%. Airway pressure release ventilation (APRV) mode is a new strategy in PARDS. Our aim was to evaluate whether use of APRV mode in severe PARDS was associated with reduced hospital mortality compared to other modes of ventilation.
Methods This was a retrospective comparative study using data from case files in a pediatric intensive care unit of a university-affiliated tertiary-care hospital. The study period (January 2014 to December 2019) covered three years before routine use of APRV mode to three years after its implementation. We compared severe PARDS patients in two groups: The APRV group (who received APRV as rescue therapy after failing protective ventilation); and The Non-APRV group, who received other modes of ventilation.
Results A total of 24 patients in each group were analyzed. Overall in-hospital mortality in the APRV group was 79% versus 91% in the Non-APRV group. In-hospital mortality was significantly lower in the APRV group (univariate analysis: hazard ratio [HR], 0.27; 95% CI, 0.14–0.52; P=0.001 and multivariate analysis: HR, 0.03; 95% CI, 0.005–0.17; P=0.001). Survival times were significantly longer in the APRV group (median time to death: 7.5 days in APRV vs. 4.3 days in non-APRV; P=0.001).
Conclusions Use of rescue APRV mode in severe PARDS may yield lower mortality rates and longer survival times.
Background Protective lung strategies (PLS) are guidelines about recent clinical advances that deliver an air volume compatible with the patient’s lung capacity and are used to treat acute respiratory distress syndrome. These mechanical ventilation guidelines are not implemented within intensive care units (ICUs) despite strong evidence-based recommendations and a dedicated professional staff. Nurses’ familiarity with clinical guidelines can bridge the gap between actual and recommended practice. However, several barriers undermine this process. The objectives of this study were to identify those barriers and explore the knowledge, attitudes, and behavior of ICU nurses regarding the implementation of PLS.
Methods This was a descriptive, cross-sectional study. The participants were nurses working in the six ICUs of a pediatric tertiary care hospital in Lahore, Pakistan. Using purposive sampling with random selection, the total sample size was 137 nurses. A summative rating scale was used to identify barriers to the implementation of PLS.
Results Overall, the nurses’ barrier score was high, with a mean of 66.77±5.36. Across all the barriers subscales, attitude was a much more significant barrier (35.74±3.57) to PLS than behavior (6.53±1.96), perceived knowledge (17.42±2.54), and organizational barriers (7.08±1.39). Knowledge-related barriers were also significantly high.
Conclusion This study identified important barriers to PLS implementation by nurses, including attitudes and knowledge deficits. Understanding those barriers and planning interventions to address them could help to increase adherence to low tidal volume ventilation and improve patient outcomes. Nurses’ involvement in mechanical ventilation management could help to safely deliver air volumes compatible with recommendations.
Background Killip-Kimball classification has been used for estimating death risk in patients suffering acute myocardial infarction (AMI). Killip-Kimball stage IV corresponds to cardiogenic shock. However, the Society for Cardiovascular Angiography and Interventions (SCAI) classification provides a more precise tool to classify patients according to shock severity. The aim of this study was to apply this classification to a cohort of Killip IV patients and to analyze the differences in death risk estimation between the two classifications.
Methods A single-center retrospective cohort study of 100 consecutive patients hospitalized for “Killip IV AMI” between 2016 and 2023 was performed to reclassify patients according to SCAI stage.
Results Distribution of patients according to SCAI stages was B=4%, C=53%, D=27%, E=16%. Thirty-day mortality increased progressively according to these stages (B=0%, C=11.88%, D=55.56%, E=87.50%; P<0.001). The exclusive use of Killip IV stage overestimated death risk compared to SCAI C (35% vs. 11.88%, P=0.002) and underestimated it compared to SCAI D and E stages (35% vs. 55.56% and 87.50%, P=0.03 and P<0.001, respectively). Age >69 years, creatinine >1.15 mg/dl and advanced SCAI stages (SCAI D and E) were independent predictors of 30-day mortality. Mechanical circulatory support use showed an almost significant benefit in advanced SCAI stages (D and E hazard ratio, 0.45; 95% confidence interval, 0.19–1.06; P=0.058).
Conclusions SCAI classification showed superior death risk estimation compared to Killip IV. Age, creatinine levels and advanced SCAI stages were independent predictors of 30-day mortality. Mechanical circulatory support could play a beneficial role in advanced SCAI stages.
Background Successful liberation from mechanical ventilation is one of the most crucial processes in critical care because it is the first step by which a respiratory failure patient begins to transition out of the intensive care unit and return to their own life. Therefore, when devising appropriate strategies for removing mechanical ventilation, it is essential to consider not only the individual experiences of healthcare professionals, but also scientific and systematic approaches. Recently, numerous studies have investigated methods and tools for identifying when mechanically ventilated patients are ready to breathe on their own. The Korean Society of Critical Care Medicine therefore provides these recommendations to clinicians about liberation from the ventilator.
Methods Meta-analyses and comprehensive syntheses were used to thoroughly review, compile, and summarize the complete body of relevant evidence. All studies were meticulously assessed using the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) method, and the outcomes were presented succinctly as evidence profiles. Those evidence syntheses were discussed by a multidisciplinary committee of experts in mechanical ventilation, who then developed and approved recommendations.
Results Recommendations for nine PICO (population, intervention, comparator, and outcome) questions about ventilator liberation are presented in this document. This guideline includes seven conditional recommendations, one expert consensus recommendation, and one conditional deferred recommendation.
Conclusions We developed these clinical guidelines for mechanical ventilation liberation to provide meaningful recommendations. These guidelines reflect the best treatment for patients seeking liberation from mechanical ventilation.
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Background The Controlling Nutritional Status (CONUT) score and the prognostic nutritional index (PNI) have emerged as important nutritional indices because they provide an objective assessment based on data. We aimed to investigate how these nutritional indices relate to outcomes in patients with sepsis.
Methods Data were collected retrospectively at five hospitals for patients aged ≥18 years receiving treatment for sepsis between January 1, 2017, and December 31, 2021. Serum albumin and total cholesterol concentrations, and peripheral lymphocytes were used to calculate the CONUT score and PNI. To identify predictors correlated with 30-day mortality, analyses were conducted using univariate and multivariate Cox proportional hazards models.
Results The 30-day mortality rate among 9,763 patients was 15.8% (n=1,546). The median CONUT score was 5 (interquartile range [IQR], 3–7) and the median PNI score was 39.6 (IQR, 33.846.4). Higher 30-day mortality rates were associated with individuals with moderate (CONUT score: 5–8; PNI: 35–38) or severe (CONUT: 9–12; PNI: <35) malnutrition compared with those with no malnutrition (CONUT: 0–1; PNI: >38). With CONUT scores, the hazard ratio (HR) associated with moderate malnutrition was 1.52 (95% confidence interval [CI], 1.24–1.87; P<0.001); for severe, HR=2.42 (95% CI, 1.95–3.02; P<0.001). With PNI scores, the HR for moderate malnutrition was 1.29 (95% CI, 1.09–1.53; P=0.003); for severe, HR=1.88 (95% CI, 1.67–2.12; P<0.001).
Conclusions The nutritional indices CONUT score and PNI showed significant associations with mortality of sepsis patients within 30 days.
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Background New variants of the virus responsible for the coronavirus disease 2019 (COVID-19) pandemic continue to emerge. However, little is known about the effect of these variants on clinical outcomes. This study evaluated the risk factors for poor pulmonary lung function test (PFT).
Methods The study retrospectively analyzed 87 patients in a single hospital and followed up by performing PFTs at an outpatient clinic from January 2020 to December 2021. COVID-19 variants were categorized as either a non-delta variant (November 13, 2020–July 6, 2021) or the delta variant (July 7, 2021–January 29, 2022).
Results The median age of the patients was 62 years, and 56 patients (64.4%) were male. Mechanical ventilation (MV) was provided for 52 patients, and 36 (41.4%) had restrictive lung defects. Forced vital capacity (FVC) and diffusion capacity of the lung for carbon monoxide (DLCO ) were lower in patients on MV. Male sex (odds ratio [OR], 0.228) and MV (OR, 4.663) were significant factors for decreased DLCO . The duration of MV was associated with decreased FVC and DLCO . However, the type of variant did not affect the decrease in FVC (P=0.750) and DLCO (P=0.639).
Conclusions Among critically ill COVID-19 patients, 40% had restrictive patterns with decreased DLCO . The reduction of PFT was associated with MV, type of variants.
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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Jesse A. Johnson, Kashka F. Mallari, Vincent M. Pepe, Taylor Treacy, Gregory McDonough, Phue Khaing, Christopher McGrath, Brandon J. George, Erika J. Yoo
Acute Crit Care. 2023;38(3):298-307. Published online August 23, 2023
Background There is increasing heterogeneity in the clinical phenotype of patients admitted to the intensive care unit (ICU) with coronavirus disease 2019 (COVID-19,) and reasons for mechanical ventilation are not limited to COVID pneumonia. We aimed to compare the characteristics and outcomes of intubated patients admitted to the ICU with the primary diagnosis of acute hypoxemic respiratory failure (AHRF) from COVID-19 pneumonia to those patients admitted for an alternative diagnosis.
Methods Retrospective cohort study of adults with confirmed SARS-CoV-2 infection admitted to nine ICUs between March 18, 2020, and April 30, 2021, at an urban university institution. We compared characteristics between the two groups using appropriate statistics. We performed logistic regression to identify risk factors for death in the mechanically ventilated COVID-19 population.
Results After exclusions, the final sample consisted of 319 patients with respiratory failure secondary to COVID pneumonia and 150 patients intubated for alternative diagnoses. The former group had higher ICU and hospital mortality rates (57.7% vs. 36.7%, P<0.001 and 58.9% vs. 39.3%, P<0.001, respectively). Patients with AHRF secondary to COVID-19 pneumonia also had longer ICU and hospital lengths-of-stay (12 vs. 6 days, P<0.001 and 20 vs. 13.5 days, P=0.001). After risk-adjustment, these patients had 2.25 times higher odds of death (95% confidence interval, 1.42–3.56; P=0.001).
Conclusions Mechanically ventilated COVID-19 patients admitted to the ICU with COVID-19-associated respiratory failure are at higher risk of hospital death and have worse ICU utilization outcomes than those whose reason for admission is unrelated to COVID pneumonia.
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Background Coronavirus disease 2019 (COVID-19) patients with acute respiratory failure who experience delayed initiation of invasive mechanical ventilation have poor outcomes. The lack of objective measures to define the timing of intubation is an area of concern. We investigated the effect of timing of intubation based on respiratory rate-oxygenation (ROX) index on the outcomes of COVID-19 pneumonia.
Methods This was a retrospective cross-sectional study performed in a tertiary care teaching hospital in Kerala, India. Patients with COVID-19 pneumonia who were intubated were grouped into early intubation (within 12 hours of ROX index <4.88) or delayed intubation (12 hours or more hours after ROX <4.88).
Results A total of 58 patients was included in the study after exclusions. Among them, 20 patients were intubated early, and 38 patients were intubated 12 hours after ROX index <4.88. The mean age of the study population was 57±14 years, and 55.0% of the patients were male; diabetes mellitus (48.3%) and hypertension (50.0%) were the most common comorbidities. The early intubation group had 88.2% successful extubation, while only 11.8% of the delayed group had successful extubation (P<0.001). Survival was also significantly more frequent in the early intubation group.
Conclusions Early intubation within 12 hours of ROX index <4.88 was associated with improved extubation and survival in patients with COVID-19 pneumonia.
Providing critical nursing care for conscious mechanically ventilated patients is mediated via effective communication. This study aimed to identify and map the antecedents, attributes, consequences, and definition of nurse–conscious mechanically ventilated patient communication (N-CMVPC). This scoping review was conducted by searching the Cochrane Library and the CINAHL, EMBASE, PubMed, Web of Science, and Scopus databases, between 2001 and 2021. The keywords queried included "nurses," "mechanically ventilated patients," "mechanical ventilation," "intubated patients," "communication," "interaction," "relationships," "nurse–patient communication," "nurse–patient relations," "intensive care units," and "critical care." Studies related to communication with healthcare personnel or family members were excluded. The results indicated that N-CMVPC manifests as a set of attributes in communication experiences, emotions, methods, and behaviors of the nurse and the patient and is classified into three main themes, nurse communication, patient communication, and quantitative-qualitative aspects. N-CMVPC is a complex, multidimensional, and multi-factor concept. It is often nurse-controlled and can express itself as questions, sentences, or commands in the context of experiences, feelings, and positive or negative behaviors involving the nurse and the patient.
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Background The study aimed to describe the clinical course, outcomes, and prognostic factors of chronic obstructive pulmonary disease (COPD) patients with acute hypercapnic respiratory failure.
Methods This retrospective study involved patients with acute hypercapnic respiratory failure due to COPD of any cause admitted to the intensive care unit (ICU) for non-invasive or invasive mechanical ventilation (IMV) support between December 2015 and February 2020.
Results One hundred patients were evaluated. The main causes of acute hypercapnic respiratory failure were bronchitis, pneumonia, and heart failure. The patients’ mean Acute Physiology and Chronic Health Evaluation (APACHE) II score was 23.0±7.2, and their IMV rate was 43%. ICU, in-hospital, and 90-day mortality rates were 21%, 29%, and 39%, respectively. Non-survivors had more pneumonia, shock within the first 24 hours of admission, IMV, vasopressor use, and renal replacement therapy, along with higher APACHE II scores, lower admission albumin levels and PaO2/ FiO2 ratios, and longer ICU and hospital stays than survivors. Logistic regression analysis identified APACHE II score (odds ratio [OR], 1.157; 95% confidence interval [CI], 1.017–1.317; P=0.026), admission PaO2/FiO2 ratio (OR, 0.989; 95% CI, 0.978–0.999; P=0.046), and vasopressor use (OR, 8.827; 95% CI, 1.650–47.215; P=0.011) as predictors of ICU mortality. APACHE II score (OR, 1.099; 95% CI, 1.021–1.182; P=0.011) and admission albumin level (OR, 0.169; 95% CI, 0.056–0.514; P=0.002) emerged as predictors of 90-day mortality.
Conclusions APACHE II scores, the PaO2/FiO2 ratio, vasopressor use, and albumin levels are significant short-term mortality predictors in severely ill COPD patients with acute hypercapnic respiratory failure.
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Background Predicting the length of stay (LOS) for coronavirus disease 2019 (COVID-19) patients in the intensive care unit (ICU) is essential for efficient use of ICU resources. We analyzed the clinical characteristics of patients with severe COVID-19 based on their clinical care and determined the predictive factors associated with prolonged LOS.
Methods We included 96 COVID-19 patients who received oxygen therapy at a high-flow nasal cannula level or above after ICU admission during March 2021 to February 2022. The demographic characteristics at the time of ICU admission and results of severity analysis (Sequential Organ Failure Assessment [SOFA], Acute Physiology and Chronic Health Evaluation [APACHE] II), blood tests, and ICU treatments were analyzed using a logistic regression model. Additionally, blood tests (C-reactive protein, D-dimer, and the PaO2 to FiO2 ratio [P/F ratio]) were performed on days 3 and 5 of ICU admission to identify factors associated with prolonged LOS.
Results Univariable analyses showed statistically significant results for SOFA score at the time of ICU admission, C-reactive protein level, high-dose steroids, mechanical ventilation (MV) care, continuous renal replacement therapy, extracorporeal membrane oxygenation, and prone position. Multivariable analysis showed that MV care and P/F ratio on hospital day 5 were independent factors for prolonged ICU LOS. For D-dimer, no significant variation was observed at admission; however, after days 3 and 5 days of admission, significant between-group variation was detected.
Conclusions MV care and P/F ratio on hospital day 5 are independent factors that can predict prolonged LOS for COVID-19 patients.
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Invasive mechanical ventilation is a frequent therapy in critically ill patients in critical care units. To achieve favorable outcomes, patient and ventilator interaction must be adequate. However, many clinical situations could attempt against this principle and generate a mismatch between these two actors. These asynchronies can lead the patient to worst outcomes; that is why it is vital to recognize and treat these entities as soon as possible. Early detection and recognition of the different asynchronies could favor the reduction of the days of mechanical ventilation, the days of hospital stay, and intensive care and improve clinical results.
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Background Respiratory muscle strength in patients with an artificial airway is commonly assessed as the maximal inspiratory pressure (MIP) and is measured using analogue or digital manometers. Recently, new electronic loading devices have been proposed to measure respiratory muscle strength. This study evaluates the agreement between the MIPs measured by a digital manometer and those according to an electronic loading device in patients being weaned from mechanical ventilation.
Methods In this prospective study, the standard MIP was obtained using a protocol adapted from Marini, in which repetitive inspiratory efforts were performed against an occluded airway with a one-way valve and were recorded with a digital manometer for 40 seconds (MIPDM). The MIP measured using the electronic loading device (MIPELD) was obtained from repetitively tapered flow resistive inspirations sustained for at least 2 seconds during a 40-second test. The agreement between the results was verified by a Bland-Altman analysis.
Results A total of 39 subjects (17 men, 55.4±17.7 years) was enrolled. Although a strong correlation between MIPDM and MIPELD (R=0.73, P<0.001) was observed, the Bland-Altman analysis showed a high bias of –47.4 (standard deviation, 22.3 cm H2O; 95% confidence interval, –54.7 to –40.2 cm H2O).
Conclusions The protocol of repetitively tapering flow resistive inspirations to measure the MIP with the electronic loading device is not in agreement with the standard protocol using one-way valve inspiratory occlusion when applied in poorly cooperative patients being weaned from mechanical ventilation.
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Background We aimed to characterize patients hospitalized for coronavirus disease 2019 (COVID-19) and identify predictors of invasive mechanical ventilation (IMV).
Methods We performed a retrospective cohort study in patients with COVID-19 admitted to a private network in Sao Paulo, Brazil from March to October 2020. Patients were compared in three subgroups: non-intensive care unit (ICU) admission (group A), ICU admission without receiving IMV (group B) and IMV requirement (group C). We developed logistic regression algorithm to identify predictors of IMV.
Results We analyzed 1,650 patients, the median age was 53 years (42–65) and 986 patients (59.8%) were male. The median duration from symptom onset to hospital admission was 7 days (5–9) and the main comorbidities were hypertension (42.4%), diabetes (24.2%) and obesity (15.8%). We found differences among subgroups in laboratory values obtained at hospital admission. The predictors of IMV (odds ratio and 95% confidence interval [CI]) were male (1.81 [1.11– 2.94], P=0.018), age (1.03 [1.02–1.05], P<0.001), obesity (2.56 [1.57–4.15], P<0.001), duration from symptom onset to admission (0.91 [0.85–0.98], P=0.011), arterial oxygen saturation (0.95 [0.92– 0.99], P=0.012), C-reactive protein (1.005 [1.002–1.008], P<0.001), neutrophil-to-lymphocyte ratio (1.046 [1.005–1.089], P=0.029) and lactate dehydrogenase (1.005 [1.003–1.007], P<0.001). The area under the curve values were 0.860 (95% CI, 0.829–0.892) in the development cohort and 0.801 (95% CI, 0.733–0.870) in the validation cohort.
Conclusions Patients had distinct clinical and laboratory parameters early in hospital admission. Our prediction model may enable focused care in patients at high risk of IMV.
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