Introduction: The coronavirus disease 2019 (COVID-19) has infected millions of people worldwide resulting in high morbidity and mortality. Obesity is known to cause metabolic derangements and precipitate worse outcomes from viral pneumonia, potentially secondary to increased inflammation and/or altered respiratory mechanics.
Aim of the Study: Our study’s aim was to examine the relationships among BMI, systemic inflammation, and respiratory mechanics in determining clinical outcomes.
Materials and Methods: This retrospective, observational cohort study included 199 adult patients with confirmed COVID-19 who were hospitalized at a quaternary-referral academic health system. Data were manually extracted from electronic medical records, including baseline demographics and clinical profiles, inflammatory markers, measures of respiratory mechanics, and clinical outcomes. We used the rank-sum test to compare the distributions of BMI and inflammatory markers between those with and without specific clinical outcomes, and the Pearson correlation to measure the correlations between BMI and inflammatory markers or respiratory mechanics.
Results: Higher BMI was associated with worse clinical outcomes, including the need for Intensive Care Unit (ICU) admission, invasive mechanical ventilation (IMV), neuromuscular blockade, and prone positioning, particularly in male patients. Inflammation, as measured by C-reactive protein, lactate dehydrogenase (LDH), ferritin, and D-Dimer, was also increased in both male and female patients who required ICU admission, IMV, neuromuscular blockade, and prone positioning. However, only male patients had a positive correlation of LDH and D-Dimer levels with BMI. There was no correlation between BMI and respiratory mechanics, as measured by static compliance and the response to prone positioning.
Conclusions: Our findings suggest that the metabolic dysfunction and systemic inflammation seen in obesity, and not dysfunctional respiratory physiology, drive the negative clinical outcomes seen in this cohort of hospitalized COVID-19 patients.
Category Archives: Original Research
Machine learning to predict extubation success using the spontaneous breathing trial, objective cough measurement, and diaphragmatic contraction velocity: Secondary analysis of the COBRE-US trial
Introduction: Determining the optimal timing for extubation in critically ill patients is essential to prevent complications. Predictive models based on Machine Learning (ML) have proven effective in anticipating weaning success, thereby improving clinical outcomes.
Aim of the study: The study aimed to evaluate the predictive capacity of five ML techniques, both supervised and unsupervised, applied to the spontaneous breathing trial (SBT), objective cough measurement (OCM), and diaphragmatic contraction velocity (DCV) to estimate a favorable outcome of SBT and extubation in critically ill patients.
Material and Methods: A post hoc analysis conducted on the COBRE-US study. The study included ICU patients who underwent evaluation of SBT, OCM, and DCV. Five ML techniques were applied: unsupervised and supervised to the data in both a training group and a test group. The diagnostic performance of each method was determined using accuracy.
Results: In predicting SBT success, all supervised methods displayed the same accuracy in the training group (77.3%) and in the test group (69.6%). In predicting extubation success, decision trees demonstrated the highest diagnostic accuracy, 89.8% for the training group and 95.7% for the test group. The other supervised methods also showed a good diagnostic accuracy: 85.9% for the training group and 93.5% for the test group.
Conclusions: In predictive models using OCM, DCV, and SBT as input variables through five ML techniques, decision trees and artificial neural networks demonstrated the best diagnostic performance. This suggests that these models can effectively classify patients who are likely to succeed in SBT and extubation during the weaning process from mechanical ventilation.
Risk factors and outcomes of critically ill pregnant COVID-19 patients: Experience from the first and second waves of the pandemic
Introduction: Understanding the association between risk factors and clinical outcomes of COVID-19 can lead to identifying suitable management strategies for reducing the mortality rate among maternal COVID-19 patients in the ICU.
Aim of the Study: This study aims to investigate the clinical outcomes and risk factors associated with pregnant and postpartum women diagnosed with COVID-19 and admitted to the intensive care unit (ICU) between May 2020 and September 2021.
Materials and Methods: This retrospective cohort study was conducted at the Universitas Indonesia Hospital. Secondary data was collected from the medical records to include all pregnant and postpartum women diagnosed with confirmed COVID-19 admitted to the hospital during the research period.
Results: The study included 113 patients and found that admission to the ICU, age, and gestational age significantly influenced clinical outcomes, with a mortality rate of 42.11% among ICU-admitted patients. Pre-existing comorbidities such as type-2 diabetes mellitus, congestive heart failure, and coronary artery disease were associated with ICU admission. Having at least one comorbidity was found to increase the mortality rate by six-fold.
Conclusions: The study emphasizes the importance of monitoring and evaluating maternal and fetal complications during COVID-19 infection, highlighting the need for multidisciplinary management involving intensivists, obstetricians, anesthesiologists, and infectious disease specialists. The findings underscore the significance of baseline health status in treatment planning and the potential for evidence-based interventions to improve maternal outcomes and pregnancy preservation. Further research is warranted to validate these results and enhance understanding of the underlying pathophysiology.
Association between hospital case volume and mortality in pediatric sepsis: A retrospective observational study using a Japanese nationwide inpatient database
Introduction: The survival benefits of treatment at high-volume hospitals (HVHs) are well-documented for several critical pediatric conditions. However, their impact on pediatric sepsis, a leading cause of mortality among children, remains understudied.
Aim of the study: To investigate the association between hospital case volume and mortality rates in pediatric sepsis.
Material and Methods: We conducted a retrospective cohort study using data from the Diagnosis Procedure Combination database. The study included patients who met the following criteria: 1) aged 28 days to 17 years; 2) discharged from the hospital between April 2014 and March 2018; 3) had a sepsis diagnosis coded under the International Classification of Diseases, 10th revision; 4) underwent blood cultures on hospital admission day (day 0) or day 1; 5) received antimicrobial agents on day 0 or 1; and 6) required at least one organ support measure (e.g., mechanical ventilation or vasopressors) on day 0 or 1. Hospitals were categorized by case volume during the study period, with HVHs defined as those in the highest quartile and low-volume hospitals (LVHs) as those in the remaining quartiles. In-hospital mortality rates between HVH and LVH groups were compared using mixed-effects logistic regression analysis with propensity score (PS) matching.
Results: A total of 934 pediatric patients were included in the study, with an overall in-hospital mortality rate of 16.1%. Of them, 234 were treated at 5 HVHs (≥26 patients in 4 years), and 700 at 234 LVHs (<26 patients in 4 years). Upon PS matching, patients treated at HVHs demonstrated significantly lower odds of in-hospital mortality compared with those treated at LVHs (odds ratio, 0.42; 95% confidence interval, 0.22–0.80; P = 0.008).
Conclusions: In pediatric patients with sepsis, treatment at HVHs was associated with lower odds of in-hospital mortality.
What proteins and albumins in bronchoalveolar lavage fluid and serum could tell us in COVID-19 and influenza acute respiratory distress syndrome on mechanical ventilation patient – A prospective double center study
Introduction: The extent of in vivo damage to the alveolar-capillary membrane in patients with primary lung injury remains unclear. In cases of ARDS related to COVID-19 and Influenza type A, the complexity of the damage increases further, as viral pneumonia cannot currently be treated with a causal approach.
Aims of the study: Our primary goal is to enhance the understanding of Acute Respiratory Distress Syndrome (ARDS) by demonstrating damage to the alveocapillary membrane in critically ill patients with COVID-19 and influenza type A. We will achieve this by measuring the levels of proteins and albumin in bronchoalveolar fluid (BAL) and serum. Our secondary objective is to assess patient outcomes related to elevated protein and albumin levels in both BAL and blood serum, which will deepen our understanding of this complex condition.
Materials and methods: Bronchoalveolar lavage (BAL) fluid and serum samples were meticulously collected from a total of 64 patients, categorized into three distinct groups: 30 patients diagnosed with COVID-19-related acute respiratory distress syndrome (ARDS), 14 patients with influenza type A (H1N1 strain), also experiencing ARDS, and a control group consisting of 20 patients who were preoperatively prepared for elective surgical procedures without any diagnosed lung disease. The careful selection and categorization of patients ensure the robustness of our study. BAL samples were taken within the first 24 hours following the commencement of invasive mechanical ventilation in the intensive care unit, alongside measurements of serum albumin levels. In the control group, BAL and serum samples were collected after the induction of general endotracheal anaesthesia.
Results: Patients in the COVID-19 group are significantly older than those in the Influenza type A (H1N1) group, with median ages of 72.5 years and 62 years, respectively (p < 0.01, Mann-Whitney U test). Furthermore, serum albumin levels (measured in g/L) revealed significant differences across all three groups in the overall sample, yielding a p-value of less than 0.01 according to ANOVA. In terms of treatment outcomes, serum albumin levels also exhibited a significant correlation, with a p-value of 0.03 (Mann-Whitney U test). A reduction in serum albumin levels (below 35 g/L), combined with elevated protein levels in bronchoalveolar lavage (BAL), serves as a predictor of poor outcomes in patients with acute respiratory distress syndrome (ARDS), as indicated by a p-value of less than 0.01 (ANOVA).
Conclusions: Our findings indicate that protein and albumin levels in bronchoalveolar lavage (BAL) fluid are elevated in severe acute respiratory distress syndrome (ARDS) cases. This suggests that BAL can effectively evaluate protein levels and fractions, which could significantly assist in assessing damage to the alveolocapillary membrane. Additionally, the increased albumin levels in BAL, often accompanied by a decrease in serum albumin levels, may serve as a valuable indicator of compromised integrity of the alveolar-capillary membrane in ARDS, with potential implications for patient care.
Hypercapnia outcome in COVID-19 acute respiratory distress syndrome patients on mechanical ventilator: A retrospective observational cohort
Introduction: Acute respiratory distress syndrome (ARDS) is characterized by progressive lung inflammation which leads to increased dead space that can cause hypercapnia and can increase the risk of patient morbidity and mortality. In an attempt to improve ARDS patient outcomes provision of protective lung ventilation has been shown to improve patient mortality but increases the incidence of hypercapnia. Therefore, the role of carbon dioxide in ARDS remains contradicted by conflicted evidence. This study aims to examine this conflicting relationship between hypercapnia and mortality in mechanically ventilated COVID-19 ARDS patients.
Methods: We conducted a retrospective cohort study. The data was collected from the medical records of the patients admitted with COVID-19 ARDS in Sindh Infectious Disease Hospital &Research Centre (SIDH & RC) from August 2020 to August 2022 and who received mechanical ventilation for more than 48 hours. The patients were grouped into severe and no severe hypercapnia groups based on their arterial blood carbon dioxide levels (PaCO2). To understand the effect of hypercapnia on mortality we performed multivariable logistic regression, and inverse probability-weighted regression to adjust for time-varying confounders.
Results: We included 288 patients to detect at least 3% of the effect on mortality. Our analysis revealed an association of severe hypercapnia with severe lung injury, low PaO2/FiO2, high dead space, and poor compliance. In univariate analysis severe hypercapnia showed higher mortality: OR=3.50, 95% CI (1.46-8.43). However, after, adjusting for disease severity hypercapnia is not found to be associated with mortality: OR=1.08, 95% CI (0.32 -3.64). The sensitive analysis with weighted regression also shows no significant effect on mortality: OR=1.04, 95% CI (0.95-1.14).
Conclusion: This study showed that hypercapnia is not associated with mortality in COVID-19 ARDS patients.
Intraabdominal hypertension is less common than it used to be: A pilot step wedge trial
Objective: This is a pilot study to determine the feasibility of a multicentre stepped wedge cluster randomized trial of implementing the 2013 World Society of the Intraabdominal Compartment Syndrome (WSACS) guidelines as an intervention to treat intraabdominal hypertension (IAH) and abdominal compartment syndrome (ACS) in critically ill patients.
Design: Single-centre before-and-after trial, with an observation / baseline period of 3 months followed by a 9-month intervention period.
Setting: A 35 bed medical-surgical-trauma intensive care unit in a tertiary level, Canadian hospital.
Patients: Recruitment from consecutively admitted adult intensive care unit patients.
Intervention: In the intervention period, treatment teams were prompted to implement WSACS interventions in all patients diagnosed with IAH.
Measurements and Main Results: 129 patients were recruited, 59 during the observation period and 70 during the intervention period. Only 17.0% and 12.9%, respectively, met diagnostic criteria for IAH. Many recruited patients did not have intraabdominal pressures measured regularly per study protocol. There was no difference in ICU mortality for patients in either cohort or between those with and without IAH.
Conclusions: The incidence of IAH in our patient population has decreased significantly since 2015. This is likely due to a significant change in routine care of critically ill patients, especially with respect to judicious goal-directed fluid resuscitation. Patient recruitment and protocol adherence in this study were low, exacerbated by other staffing and logistical pressures during the study period. We conclude that a larger multicentre trial is unlikely to yield evidence of a detectable treatment effect.
Evaluation of monitoring critical ill children with traumatic brain injury
Introduction: In traumatic brain injury (TBI), direct information can be obtained about cerebral blood flow, brain tissue oxygenation and cerebral perfusion pressure values. More importantly, an idea about the changes in these measurements can be obtained with multidimensional monitoring and widely used monitoring methods.
Aim of the study: We aimed to evaluate the monitoring of critically ill children who were followed up in our pediatric intensive care unit (PICU) due to TBI.
Material and Method: Twenty-eight patients with head trauma who were followed up in our tertiary PICU between 2018 and 2020 were included in the study. Cerebral tissue oxygenation, optic nerve sheath diameter (ONSD), Glasgow coma score (GCS) and Glasgow Outcome Score (GOSE) values were obtained from retrospective file records and examined.
Results: Male gender was 71.4% (n=20). When we classified TBI according to GCS, 50% (n=14) had moderate TBI and 50% had severe TBI. On the first day in the poor prognosis group, ONSD and nICP were found to be higher than in the good prognosis group (for ONSD, p=0.01; and for nICP, p=0.004). On the second day of hospitalization, the ONSD and nICP were significantly higher in the poor prognosis group than in the good prognosis group (for ONSD p=0.002; and for nICP p= 0.001). Cerebral tissue oxygenation values measured on the first and second days decreased significantly on the second day in both the good and poor prognosis groups (p=0.03, 0.006). In the good prognosis group, a statistically significant decrease was found in ONSD and nICP measurements taken on the 2nd day compared to the measurements taken at the time of hospitalization (for ONSD p=0.004; for nICP p<0.001).
Conclusion: The aim of multidimensional follow-up in traumatic brain injury is to protect the brain from both primary and secondary damage; for this reason, it should be followed closely with multimonitoring methods that are possibly multidisciplinary.
The effect of pre-existing sarcopenia on outcomes of critically ill patients treated for COVID-19
Background: Sarcopenia, defined by a loss of skeletal muscle mass and function, has been identified as a prevalent condition associated with poor clinical outcome among critically ill patients. This study aims to evaluate the impact of pre-existing sarcopenia on outcomes in critically ill patients with acute respiratory failure (ARF) due to COVID-19.
Material and Methods: A retrospective study was carried out on COVID-19 patients admitted to intensive care. Pre-existing sarcopenia was assessed using early CT scans. Clinical outcomes, including duration of high-flow oxygenation (HFO), mechanical ventilation (MV), length of hospital stay (LOS) and ICU mortality, were evaluated according to sarcopenia status.
Results: Among the studied population, we found a high prevalence (75 patients, 50%) of pre-existing sarcopenia, predominantly in older male patients. Pre-existing sarcopenia significantly impacted HFO duration (6.8 (+/-4.4) vs. 5 (+/-2.9) days; p=0.005) but did not significantly affect MV requirement (21 (28%) vs. 23 (37.3%); p=185), MV duration (7 vs. 10 days; p=0.233), ICU mortality (12 (16%) vs. 10 (13.3 %); p=0.644) or hospital LOS (27 vs. 25 days; p=0.509). No differences in outcomes were observed between sarcopenic and non-sarcopenic obese patients.
Conclusions: Pre-existing sarcopenia in critically ill COVID-19 patients is associated with longer HFO duration but not with other adverse outcomes. Further research is needed to elucidate the mechanisms and broader impact of sarcopenia on septic critically ill patient outcomes.
The Use of Biomarkers Testing in Emergency Department
Introduction: In the fast-paced environment of Emergency Departments (EDs), biomarkers are essential for the rapid diagnosis and management of critical conditions.
Aim of the study: This study evaluates the current clinical practice on key biomarkers in Romanian EDs, addressing the needs of emergency medicine physicians, and the challenges associated with biomarker testing.
Material and Methods: An online survey was sent to physicians working in ED to explore their perceptions, needs, and barriers regarding biomarkers, including Point-of-care (POC). Data was collected anonymously through an online platform and subsequently analyzed.
Results: This survey analyzed data from 168 completed responses, with 95.2% of respondents being specialists in emergency medicine. Procalcitonin and presepsin were most preferred for PoCT, while troponin and D-dimer were highly rated regardless of the testing method, reflecting their utility in sepsis and cardiovascular emergencies. Neuron-specific enolase, interleukin-6, and procalcitonin were the biomarkers considered needed.
Conclusions: The most frequently used biomarkers in ED were troponin, D-dimer, BNP/NT-proBNP, and procalcitonin. NSE, IL-6, and procalcitonin were the most recommended for future integration. High costs, limited availability, and false-positive concerns remain significant challenges in biomarker use.