Predictors Of Mechanical Ventilation Research Articles

Associations of resuscitation fluid load, colloid-to-crystalloid infusion ratio and clinical outcomes in children with dengue shock syndrome.

Severe respiratory distress and acute kidney injury (AKI) are key factors leading to poor outcomes in patients with dengue shock syndrome (DSS). There is still limited data on how much resuscitated fluid and the specific ratios of intravenous fluid types contribute to the development of severe respiratory distress necessitating mechanical ventilation (MV) and AKI in children with DSS. This retrospective study was conducted at a tertiary pediatric hospital in Vietnam between 2013 and 2022. The primary outcomes were the need for MV and renal function within 48 h post-admission. A predictive model for MV was developed based on covariates from the first 24 h of PICU admission. Changes in renal function within 48 h were analyzed using a linear mixed-effects model. A total of 1,278 DSS children with complete clinical and fluid data were included. The predictive performance of MV based on the total intravenous fluid volume administered yielded an AUC of 0.871 (95% CI, 0.836-0.905), while the colloid-to-crystalloid ratio showed an AUC of 0.781 (95% CI, 0.743-0.819) (both P < 0.001). The optimal cut-off point of the cumulative fluid infusion was 181 mL/kg, whereas that of the colloid-to-crystalloid ratio was 1.6. Multivariable analysis identified female patients, severe bleeding, severe transaminitis, excessive fluid resuscitation, and a higher proportion of colloid solutions in the first 24 h as significant predictors of MV in DSS patients. The predictive model for MV demonstrated high accuracy, with a C-statistic of 89%, strong calibration, and low Brier score (0.04). Importantly, a more pronounced decline in glomerular filtration rate was observed in DSS patients who required MV than in those who did not. This study provides insights into optimizing fluid management protocols, highlighting the importance of monitoring fluid volume and the colloid-to-crystalloid ratio during early resuscitation to improve the clinical outcomes of DSS patients.

N-terminal pro-B-type natriuretic peptide and pulmonary echography are predictors of acute heart failure needing early mechanical ventilation in acute coronary syndrome.

The aim of this study was to determine the best clinical predictors of acute heart failure needing mechanical ventilation (MV) in the first 48 h of evolution of patients admitted because of acute coronary syndrome (ACS). We analyzed a cohort of patients admitted for ACS between February 2017 and February 2018. A pulmonary ultrasound was performed on admission and was considered positive (PE+) when there were three or more B-lines in two quadrants or more of each hemithorax. It was compared with N-terminal pro-B-type natriuretic peptide (NT-proBNP), peak troponin T-us value GRACE (Global Registry of Acute Coronary Events), CRUSADE (Can Rapid risk stratification of Unstable angina patients Suppress ADverse outcomes with Early implementation of the American College of Cardiology and American Heart Association guidelines - Bleeding Score), CACS (Canada Acute Coronary Syndrome risk score), and HAMIOT (Heart Failure after Acute Myocardial Infarction with Optimal Treatment score) scores, shock index, ejection fraction, chest X-ray, and Killip class at admission as predictors of MV in the first 48 h of admission. A total of 119 patients were included: 54.6% with ST elevation and 45.4% without ST elevation. Twelve patients (10.1%) required MV in the first 48 h of evolution. The sensitivity of PE+ was 100% (73.5-100%), specificity 91.6% (84.6-96.1%), and area under the curve was 0.96 (0.93-0.96). The sensitivity of an NT-proBNP value more than 3647 was 88.9% (51.9-99.7%), specificity 92.1% (84.5-96.8%), and area under the curve was 0.905 (0.793-1). The κ statistic between both predictors was 0.579. All the other scores were significantly worse than PE + . Lung ultrasound and a high NT-proBNP (3647 ng/L in our series) on admission are the best predictors of acute heart failure needing MV in the first 48 h of ACS. The agreement between both tests was only moderate.

Biomarkers and sepsis severity as predictors of mechanical ventilation and mortality in COVID-19

IntroductionPatients with septic shock face an elevated risk of mortality compared to those with sepsis. Several biomarkers, including lactate dehydrogenase, albumin, and lactate/albumin (L/A), have been associated with increased mortality in COVID-19 patients. This study aims to assess the relationship between sepsis, septic shock, and mortality, as well as the need for mechanical ventilation in COVID-19 patients. Demographic, sepsis severity factors, and biomarkers are examined. MethodsA retrospective case series from June 2020 to March 2021 included 490 patients diagnosed with sepsis or septic shock secondary to SARS-CoV-2 pneumonia. Time-to-event analyses were conducted for mechanical ventilation and mortality. Statistical significance was set at p ≤ .0038. Serum lactate, albumin, lactate/albumin ratio, C-reactive protein, platelet levels, and three sepsis severity scales, (CCI, SOFA, APACHE IV) were assessed. ResultsSepsis was identified in 352 patients (71.8%), while 138 had septic shock. Patients with septic shock were more likely to require invasive ventilator support. Factors associated with a higher risk of intubation included higher APACHE IV scores, elevated serum albumin levels, and increased L/A ratio. L/A ratio and serum lactate levels demonstrated the best diagnostic accuracy for mechanical ventilation (AUC, 0.964 and 0.946, respectively), mortality (AUC, 0.926 and 0.887, respectively). DiscussionIncreased C-reactive protein, combined with increased serum lactate and a high lactate/albumin ratio, may assist clinicians in identifying COVID-19 patients at risk of mechanical ventilation and mortality upon admission. Optimal cut-off values for lactate (1.45–1.65 mmol/L) and L/A ratio (0.413) can aid in prioritizing medical care for at risk COVID-19 patients.

Development and validation of a prediction score for failure to casirivimab/imdevimab in hospitalized patients with COVID-19 pneumonia.

Casirivimab and imdevimab (CAS/IMV) are two non-competing, high-affinity human IgG1 anti-SARS-CoV-2 monoclonal antibodies, that showed a survival benefit in seronegative hospitalized patients with COVID-19. This study aimed to estimate the day-28 risk of mechanical ventilation (MV) and death in individuals hospitalized for severe COVID-19 pneumonia and receiving CAS/IMV. Additionally, it aimed to identify variables measured at the time of hospital admission that could predict these outcomes and derive a prediction algorithm. This is a retrospective, observational cohort study conducted in 12 hospitals in Italy. Adult patients who were consecutively hospitalized from November 2021 to February 2022 receiving CAS/IMV were included. A multivariable logistic regression model was used to identify predictors of MV or death by day 28 from treatment initiation, and β-coefficients from the model were used to develop a risk score that was derived by means of leave-one-out internal cross-validation (CV), external CV, and calibration. Secondary outcome was mortality. A total of 480 hospitalized patients in the training set and 157 patients in the test set were included. By day 28, 36 participants (8%) underwent MV and 28 died (6%) for a total of 58 participants (12%) experiencing the composite primary endpoint. In multivariable analysis, four factors [age, PaO2/FiO2 ratio, lactate dehydrogenase (LDH), and platelets] were independently associated with the risk of MV/death and were used to generate the proposed risk score. The accuracy of the score in the area under the curve (AUC) was 0.80 and 0.77 in internal validation and test for the composite endpoint and 0.87 and 0.86 for death, respectively. The model also appeared to be well calibrated with the raw data. The mortality risk reported in our study was lower than that previously reported. Although CAS/IMV is no longer used, our score might help in identifying which patients are not likely to benefit from monoclonal antibodies and may require alternative interventions.

Abstract WP62: Intracerebral Hemorrhage Score and Glasgow Coma Scale Are Not Accurate Predictors of Subsequent Mechanical Ventilation in Initially Non-Intubated Intracerebral Hemorrhage Patients

Introduction: Intracerebral hemorrhage (ICH) often requires mechanical ventilation (MV), increasing patient risks and hospital costs. Two standard tools were evaluated for their ability to predict patients needing subsequent MV. A predictive tool could reduce costs and complications from unnecessary MV and reduce risks for patients requiring non-elective intubation. Methods: Spontaneous ICH patients were evaluated at a comprehensive stroke center, focusing on those not intubated upon arrival or in the Emergency Department. Retrospective chart review included ICH score (ICHS), Glasgow Coma Scale (GCS), MV rates, and timing of intubation. To assess the ability of ICHS and GCS to predict subsequent MV within two weeks, we used the area under the receiver operating characteristic curve (AUC) and Youden's J statistic (range 0-1), which combines sensitivity and specificity. Higher values indicate better test performance. Results: Over 4 years, 700 consecutive ICH patients were evaluated, with 231 meeting analysis criteria. Of these, 20/231 (8.66%) received subsequent MV within the following two weeks. Neither the ICHS nor GCS accurately predicted subsequent MV, with AUC/Standard Error/Youden's J of 0.630/0.066/0.254 for ICHS and 0.643/0.070/0.235 for GCS. Specificity was &gt;97% (95% Confidence Interval: 94-99%) for both an ICHS &gt; 4 and a GCS &lt; 8; however, corresponding sensitivities were low (5% and 10%, respectively). Conclusions: The ICHS and GCS are not accurate predictors of subsequent MV, as shown by the low AUC and Youden's J. Both scales are &gt;97% specific when the ICHS is &gt; 4 or GCS is &lt; 8, which may identify high-risk patients but would overlook others. Development of an intubation-specific tool, further exploration of alternative existing ICH scores, and evaluation of a larger sample size are needed.

Predictors of mechanical ventilation and mortality in critically ill patients with COVID-19 pneumonia

ObjectiveTo determine if potential predictors for invasive mechanical ventilation (IMV) are also determinants for mortality in COVID-19-associated acute respiratory distress syndrome (C-ARDS). DesignSingle center highly detailed longitudinal observational study. SettingTertiary hospital ICU: two first COVID-19 pandemic waves, Madrid, Spain. Patients or participants: 280 patients with C-ARDS, not requiring IMV on admission. InterventionsNone. Main variables of interest: Target: endotracheal intubation and IMV, mortality.Predictors: demographics, hourly evolution of oxygenation, clinical data, and laboratory results. ResultsThe time between symptom onset and ICU admission, the APACHE II score, the ROX index, and procalcitonin levels in blood were potential predictors related to both IMV and mortality. The ROX index was the most significant predictor associated with IMV, while APACHE II, LDH, and DaysSympICU were the most with mortality. ConclusionsAccording to the results of the analysis, there are significant predictors linked with IMV and mortality in C-ARDS patients, including the time between symptom onset and ICU admission, the severity of the COVID-19 waves, and several clinical and laboratory measures. These findings may help clinicians to better identify patients at risk for IMV and mortality and improve their management.

Evaluation of the FAST HUG implementation effect on the mortality and length of stay in admitted patient in Intensive Care Unit (ICU) of a hospital

Objective: We aimed to determine new version of the FAST HUG implementation effect on the mortality and length of stay in admittedpatient in Intensive Care Unit (ICU) of a hospital. Methods: We conducted a prospective cohort study on 406 patients who admitted in medical and surgical ICU of Imam Hossein Hospitalof Tehran province in Iran from July 1, 2022, to September 30, 2022. We identified predictors of ICU mortality by logistic regression model,predictors of 28-day mortality/re-hospitalization/recovery by generalized ordered logit model, predictors of length of stay (LOS) by linearregression, predictors of mechanical ventilation by generalized ordered logit and predictors of SOFA score by hurdle model. Results: This mnemonic had protective impact (OR = 0.56, P-value = 0.01) on the 28-days mortality. One unit increase in mean of FAST HUGscore had a preventive effect on the outcome of death (OR = 0.21). Surgical admission type (Coefficient = –3.24, P-value = 0.00) and FASTHUG implementation (Coefficient =1.58, P-value= 0.0) were strongest factors on the LOS. Conclusion: Our study results approved the importance of the FAST HUG implementation on the decrease of patient mortality in ICU and28 days after discharge. Additionally, this checklist had a statistically significant role in declining SOFA scores in ICU patients.

Use of inflammatory markers as predictor for mechanical ventilation in COVID-19 patients with stages IIIb-V chronic kidney disease?

Studies have shown elevated C-reactive protein (CRP) to predict mechanical ventilation (MV) in patients with coronavirus disease 2019 (COVID-19). Its utility is unknown in patients with chronic kidney disease (CKD), who have elevated baseline CRP levels due to chronic inflammation and reduced renal clearance. To assess whether an association exists between elevated inflammatory markers and MV rate in patients with stages IIIb-V CKD and COVID-19. We conducted a retrospective cohort study on patients with COVID-19 and stages IIIb-V CKD. The primary outcome was the rate of invasive MV, the rate of noninvasive MV, and the rate of no MV. Statistical analyses used unpaired t-test for continuous variables and chi-square analysis for categorical variables. Cutoffs for variables were CRP: 100 mg/L, ferritin: 530 ng/mL, D-dimer: 0.5 mg/L, and lactate dehydrogenase (LDH): 590 U/L. 290 were screened, and 118 met the inclusion criteria. CRP, D-dimer, and ferritin were significantly different among the three groups. On univariate analysis for invasive MV (IMV), CRP had an odds ratio (OR)-5.44; ferritin, OR-2.8; LDH, OR-7.7; D-dimer, OR-3.9, (P < 0.05). The admission CRP level had an area under curve-receiver operator characteristic (AUROC): 0.747 for the IMV group (sensitivity-80.8%, specificity-50%) and 0.663 for the non-IMV (NIMV) group (area under the curve, sensitivity-69.2%, specificity-53%). Our results demonstrate a positive correlation between CRP, ferritin, and D-dimer levels and MV and NIMV rates in CKD patients. The AUROC demonstrates a good sensitivity for CRP levels in detecting the need for MV in patients with stages IIIb-V CKD. This may be because of the greater magnitude of increased inflammation due to COVID-19 itself compared with increased inflammation and reduced clearance due to CKD alone.

Non-Ventilated Patients with Spontaneous Pneumothorax or Pneumomediastinum Associated with COVID-19: Three-Year Debriefing across Five Pandemic Waves.

Spontaneous pneumothorax and pneumomediastinum (SP-SPM) are relatively rare medical conditions that can occur with or independently of COVID-19. We conducted a retrospective analysis of SP-SPM cases presented to the emergency departments (EDs) of two University-affiliated tertiary hospitals from 1 March 2020 to 31 October 2022. A total of 190 patients were identified: 52 were COVID-19 cases, and 138 were non-COVID-19 cases. The primary outcome we were looking for was in-hospital mortality. The secondary outcomes concerned the disease severity assessed by (a) days of hospitalization; (b) required mechanical ventilation (MV); and (c) required intensive care (IC). All were investigated in the context of the five pandemic waves and the patients' age and comorbidities. The pandemic waves had no significant effect on the outcomes of these patients. Logistic regression found age (OR = 1.043; 95%CI 1.002-1.085), COVID-19 (OR = 6.032; 95%CI 1.757-20.712), number of comorbidities (OR = 1.772; 95%CI 1.046-3.001), and ground-glass opacities over 50% (OR = 5.694; 95%CI 1.169-27.746) as significant risk predictors of in-hospital death while controlling for gender, smoking, the pandemic wave, and the extension of SP-SPM. The model proved good prediction performance (Nagelkerke R-square = 0.524) and would hold the same significant predictors for MV and IC.

Predictors of respiratory failure in Guillain-Barré syndrome: a 22 year cohort study from a single Italian centre.

The study aimed to identify predictors of respiratory failure leading to mechanical ventilation (MV) and tracheostomy in Guillain-Barré syndrome (GBS). Two hundred and thirty adult cases admitted to the Neurology Unit of Modena, Italy, between January 2000 and December 2021 were studied. A cut-off of MV starting within 8 weeks from onset of weakness was used. Univariable, multivariable logistic and Cox regression analyses were used to determine which pre-specified clinical and diagnostic characteristics were capable of predicting MV and tracheostomy, due to weaning failure. The model was internally validated within the full cohort. The Erasmus GBS Respiratory Insufficiency Score was retrospectively applied. One hundred and seventy-six cases (76.5%) were classified as classical sensorimotor GBS and 54 (23.4%) as variants. Thirty-two patients (13.9%) needed MV: 84.3% required respiratory support within 7 days. Independent predictors of respiratory failure and MV were older age, facial, bulbar, neck flexor weakness, dysautonomia, axonal electrophysiological subtype, cardiovascular comorbidities and higher disability score at entry. There was no association with abnormal spinal fluid parameters nor with positive serology for recent infections. Twenty-two patients (68.7%) were ventilated for more than 7 days; 4.7% died within 8 weeks. The patients who required MV were treated more often with plasma exchange. Independent predictors of tracheostomy due to weaning trial failure were facial, bulbar, neck flexor weakness, autonomic dysfunction, associated cardiovascular morbidities and axonal electrophysiological subtype on nerve conduction study. Our study indicates distinct predictors of MV and tracheostomy in GBS patients.

THU333 Race Was Not A Predictor Of Poor Outcomes From COVID-19 At University Of Chicago Medicine Hospital

Abstract Disclosure: A. Rashied: None. J. Cursio: None. E.C. Hanlon: None. S. Pannain: None. University of Chicago Medicine (UCM) is a large, 800 bed, urban hospital located on the south side of Chicago that cares for a substantial number of African-American (AA) patients. The COVID-19 pandemic has impacted health drastically, especially for minorities (including AAs) and those with comorbid conditions. We examined COVID outcomes in our UCM patient population, including patterns by race, other demographic information (age, sex), and comorbidities, and the relationship with deaths, intensive care unit (ICU), and mechanical ventilator use. From the period March 2020 to February 2021, 61.6% (11,071/17,945) patients tested for COVID-19 at UCM were positive, and 52.8% (5,850/11,071) of these were hospitalized for further care. Of these hospitalized patients 3,171 were AA and 2,679 were all other races. AA had a higher percentage of patients who were female (62% vs 54%, p&amp;lt;0.0001), were older (49 vs 43 years, p&amp;lt;0.0001), had longer hospital stays (13.5 vs 13.0 days, p&amp;lt;0.0001), were admitted to the ICU (9% vs 4%, p&amp;lt;0.0001), and died (5% vs 2%, p&amp;lt;0.0001) compared to non-AA patients. In addition, the rates of comorbid conditions were higher for AAs compared to non-AAs for hypertension (52% vs 32%, p&amp;lt;0.0001), heart disease (15% vs 9%, p&amp;lt;0.0001), diabetes (36% vs 22%, p&amp;lt;0.0001), kidney disease (21% vs 8%, p&amp;lt;0.0001), and obesity (53% vs 40%, p&amp;lt;0.0001). To explore the relationship of race and death among patients hospitalized with COVID-19, a predictive model for death was estimated including age, race, gender, hospital stay in days, ICU length of stay, and indicators for obesity, heart disease, kidney disease, hypertension, and diabetes. The model shows that AA adults have a higher odds ratio (OR=1.08, p=0.71) for death than non-AA adults, however the p-value was insignificant. Instead, significant predictors of death included age (OR=1.058, p&amp;lt;0.0001) and kidney disease (OR=2.108, p=0.0002). Neither diabetes nor obesity were significant predictors of death in our cohort. Race was also not a predictor of mechanical ventilation or ICU status. However, obesity, diabetes and kidney disease were all significant predictors of requiring ventilation (all p&amp;lt;0.05). Moreover, age (OR=1.013, p=0.001), female gender (OR=0.687, p=0.002), kidney disease (OR=2.431, p&amp;lt;0.0001), and diabetes (OR=2.224, p&amp;lt;0.0001) were significant predictors of ICU admission. The model for death, ventilator, and ICU status for patients with COVID-19 at UCM show increased risks for AA versus non-AAs, however the odds ratios were insignificant. Instead, comorbidities like kidney disease were a significant predicator of death, as were obesity and diabetes for COVID-19 related ventilation and ICU admission. Thus, in our patient population that includes a significant number of AA adults, race was not a predictor of poor COVID-19 outcomes, but kidney disease, obesity, and diabetes were – irrespective of race. Presentation: Thursday, June 15, 2023

Comparison of different scores as predictors of mechanical ventilation and intensive care unit admission in acute theophylline poisoning.

Theophylline is commonly used to control respiratory diseases, especially in developing countries. Theophylline has a narrowed therapeutic index, and its toxicity is associated with morbidity and mortality. Physicians should be aware of the early prediction of the need for intensive care unit admission (ICU) and mechanical ventilation (MV). This study aimed to assess the power of the Rapid Emergency Medicine Score (REMS), Modified Early Warning Score (MEWS) and Simple Clinical Score (SCS) in predicting the need for ICU admission and/or MV in acute theophylline-poisoned patients. This cross-sectional study included 58 patients with acute theophylline poisoning who were admitted to our Poison Control Center from the 1st of July 2022 to the 31st of January 2023. The REMS, MEWS and SCS were calculated for all patients on arrival at the hospital. The area under the curve (AUC) and receiver operating characteristics were tested to compare scores. The median values of all studied scores were significantly high among patients who needed MV and/or ICU admission. The AUC of SCS was >0.9, with a sensitivity of 92.9% and specificity of 90.9% for the prediction of ICU admission. Meanwhile, MEWS was an excellent predictor of the need for MV (AUC=0.996, 95% CI=0.983-1.000). We recommend using SCS as an early predictor for ICU admission in acute theophylline-poisoned patients. However, MEWS could effectively predict MV requirements in acute theophylline-poisoned patients.

ROX index to predict failure with low flow devices in COVID-19

The ROX index (iROX) obtained from pulse oximetry saturation/inspired fraction of oxygen and respiratory rate, predicts success with high-flow nasal cannula (HFNC), however its performance for low-flow oxygenation devices (DOBF) is unknown. To determine suitability of iROX at 12 hours as a predictor of mechanical ventilation (VMI) in hospitalized patients with severe COVID-19 and DOBF. An historical cohort was performed. Adults with COVID-19, hospitalized, with supplemental oxygen supply are included, excluding patients with pathologies in chronic stages that could alter the results, calculating the iROX at 12 hours, obtaining the cut-off point using a ROC curve and Youden index, the risk of VMI is prolonged using relative risk (RR), with 95% confidence intervals (95%CI). Confounding variables were evaluated to determine the performance of the iROX. The dependent variable mechanical ventilation recorded as reported in the file and the independent iROX obtained in the same way as the previous one. 63 patients with a median age of 62 years were included. The best iROX cut-off point at 12 hours was 5.35. With this cut-off point, VMI was associated with a RR of 8.75 (95% CI 2.36-32.35). In the multivariate model with an OR of 9.26; (95% CI, 2.39 - 35.78), after initiation of DOBF was consistently associated with an increased risk of intubation. In hospitalized patients with severe COVID-19, an iROX < 5.35 at 12 hours appears to be a predictor for the onset of VMI.

Predictors of mechanical ventilation and mortality in critically ill patients with COVID-19 pneumonia

ObjectiveTo determine if potential predictors for invasive mechanical ventilation (IMV) are also determinants for mortality in COVID-19-associated acute respiratory distress syndrome (C-ARDS). DesignSingle center highly detailed longitudinal observational study. SettingTertiary hospital ICU: two first COVID-19 pandemic waves, Madrid, Spain. Patients or participants: 280 patients with C-ARDS, not requiring IMV on admission. InterventionsNone. Main variables of interest: Target: endotracheal intubation and IMV, mortality.Predictors: demographics, hourly evolution of oxygenation, clinical data, and laboratory results. ResultsThe time between symptom onset and ICU admission, the APACHE II score, the ROX index, and procalcitonin levels in blood were potential predictors related to both IMV and mortality. The ROX index was the most significant predictor associated with IMV, while APACHE II, LDH, and DaysSympICU were the most with mortality. ConclusionsAccording to the results of the analysis, there are significant predictors linked with IMV and mortality in C-ARDS patients, including the time between symptom onset and ICU admission, the severity of the COVID-19 waves, and several clinical and laboratory measures. These findings may help clinicians to better identify patients at risk for IMV and mortality and improve their management.

Predictors of Mechanical Ventilation Among 1960 Obese Patients Admitted With Guillain-Barré syndrome in the United States (P12-8.015)

<h3>Objective:</h3> To understand the impact of obesity on the need for mechanical ventilation following admission for Guillain-Barré syndrome (GBS) and the associated risk of mortality. <h3>Background:</h3> Obesity is a fast-growing risk factor predisposing to many complications. Its impact on the outcomes of GBS patients has not been properly reported in the literature. <h3>Design/Methods:</h3> Obese patients with a principal diagnosis of GBS were pooled from the 2019 National Inpatient Sample. Logistic regression models, adjusting for confounders, were used to identify potential risk factors for requiring mechanical ventilation and overall mortality risk. <h3>Results:</h3> A total of 1960 obese patients with GBS were admitted in 2019, and 240 (12.2%) required mechanical ventilation. Arthropathies (aOR 4.876, 95% CI 2.582–9.206, p&lt;0.01), chronic pulmonary disease (aOR 2.223, 95% CI 1.505–3.283, p&lt;0.01), acute kidney injury (aOR 6.068, 95% CI 4.047–9.097, p&lt;0.01), ventricular tachycardia (aOR 3.401, 95% CI 1.353–8.549, p&lt;0.01), and paroxysmal atrial fibrillation (aOR 8.176, 95% CI 4.608–14.505, p&lt;0.01) were potential risk factors for requiring mechanical ventilation. Meanwhile hypothyroidism (aoR 0.370, 95% CI 0.216–0.634, p&lt;0.01), diabetes (aOR 0.611, 95% CI 0.398–0.936, p=0.024), and patients covered by Medicaid (aOR 0.351, 95% CI 0.184–0.669, p&lt;0.01), or private insurances (aOR 0.557, 0.351–0.883, p=0.013) (compared to Medicare) were at lower risk. Obese GBS patients using mechanical ventilation also had a higher risk of death (10.4% vs. 0.9%, aOR 47.586, 95% CI 12.334–169.823, p&lt;0.01). <h3>Conclusions:</h3> Several factors influence the risk of requiring mechanical ventilation among obese GBS patients. Obese patients using mechanical ventilation were at risk of poorer outcomes. <b>Disclosure:</b> Dr. Sanikommu has nothing to disclose. Dr. Sombans has nothing to disclose. Dr. Ramphul has nothing to disclose. Dr. Verma has nothing to disclose. Dr. Kumar has nothing to disclose. Dr. Ramphul has nothing to disclose. Dr. Meena has nothing to disclose. Dr. Kumari has nothing to disclose. Dr. Gonzalez Mejias has nothing to disclose. Dr. Jairam Das Lohana has nothing to disclose. Dr. Arti has nothing to disclose.

Fibrosis-4 (FIB-4) index as a predictor for mechanical ventilation and 30-day mortality across COVID-19 variants.

The Fibrosis-4 (FIB-4) index, a simple index that includes age, liver enzymes, and platelet count has been studied as a tool to identify patients at a risk of requiring mechanical ventilation due to its high negative predictive value. It is unknown if FIB-4 remains useful to predict the severity of respiratory disease requiring mechanical ventilation amongst new Coronavirus disease 2019 (COVID-19) variants and whether a relationship also exists between FIB-4 and 30-day mortality. The main objective was to determine if FIB-4 can predict mechanical ventilation requirements and 30-day mortality from COVID-19 across variants including Alpha, Delta, and Omicron. This was a population-based, retrospective cohort analysis of 232,364 hospitalized patients in the National COVID-19 Cohort Collaborative between the age of 18-90 who tested positive for COVID-19 between April 27, 2020 and June 25, 2022. The primary outcome was association between FIB-4 and need for mechanical ventilation. Secondary measures included the association of FIB-4 with 30-day mortality. A FIB-4 > 2.67 had 1.8 times higher odds of requiring mechanical ventilation across all variants of COVID-19 (OR 1.81; 95% CI: [1.76, 1.86]). The area under the ROC curve showed high diagnostic accuracy with values ranging between 0.79 (Omicron wave) and 0.97 (delta wave). Increased FIB-4 was associated with 30-day mortality across the variates. The FIB-4 was consistently associated with both increased utilization of mechanical ventilation and 30-day mortality among COVID-19 patients across all waves in both adjusted and unadjusted models. This provides a simple tool for risk-stratification for front-line health care professionals.

Modified Erasmus GBS Respiratory Insufficiency Score: a simplified clinical tool to predict the risk of mechanical ventilation in Guillain-Barré syndrome

BackgroundThis study aimed to determine the clinical and diagnostic factors associated with mechanical ventilation (MV) in Guillain-Barré syndrome (GBS) and to simplify the existing Erasmus GBS Respiratory Insufficiency Score (EGRIS)...

Granulomatosis With Polyangiitis Presenting With Diffuse Alveolar Hemorrhage: A Systematic Review.

Granulomatosis with polyangiitis (GPA) is a systemic disease that has variable clinical expression. GPA is the most common antineutrophilic cytoplasmic antibody(ANCA)-associated vasculitis (AAV). Diffuse alveolar hemorrhage (DAH) is one of the least common pulmonary manifestations in patients with GPA.DAH is clinically marked by hemoptysis, anemia, and diffuse alveolar infiltrates on imagingas well as hypoxemic respiratory failure. The diagnosis and treatment are challenging. Recommendations for ANCA-associated vasculitis, in general, are already established; however, there is a knowledge gap that addresses the association of GPA and DAH. The aim of this systematic review is to focus on the main clinical aspects and treatmentof patients with GPA who presentwith DAH. Thorough research of available literature was performed, including studies published in the last 10 years, following the Preferred Items for Systematic Review and Meta-Analysis (PRISMA) 2020 recommendations. The following databases were included: PubMed, Medline, Embase, ClinicalTrials.com, Google Scholar, and Prospero. The search terms included: [granulomatosis] AND [polyangiitis] AND [diffuse alveolar hemorrhage] OR [diffuse pulmonary hemorrhage] NOT [microscopic polyangiitis] NOT [eosinophilic granulomatosis]. NOS was used to assess the internal validity of the study in four domains, including selection, ascertainment, causality, and reporting. Our initial search identified 8989 studies. After excluding duplicated data and using our predetermined inclusion and exclusion criteria, we were able to retrieve 18 studies. Twelve out of 18 (67%) studies were case reports. Five were retrospective cohorts and one controlled trial. The average age of patients with GPA with DAH was 49.55 ± 17.54 years (18 - 76). Male individuals had a slight predominance (59%) in comparison to female individuals (41%). The hemoglobin level at the time of presentation was 8.86 mg/dL ± 1.43. The majority of patients (61.5%) reported hemoptysis. Renal involvement was present in 66.7%. Patients who required mechanical ventilation represented 61.5%. Plasmapheresis was used in 71.4%. Mortality was 20%, and gender was not associated with mortality (p = 0.822). Hemoptysis was not associated with the need for mechanical ventilation (p = 0.928). Renal impairment was not a predictor of mechanical ventilation (p = 0.207). In summary, patients with GPA and DAH were severely ill, frequently had renal impairment upon admission, and frequently required mechanical ventilation. Steroids, rituximab, and cyclophosphamide are the first-line treatment, and plasmapheresis is still in use. Eventually, extracorporeal membrane oxygenation (ECMO) can be the salvage therapy.Randomized controlled clinical trials (RCTs) are needed to address the best therapeutic options for this population.

Role of D-Dimer in Covid-19 pneumonia: sensitive marker of inflammation, predictor of mechanical ventilation, thromboembolic events and early marker of post covid-lung fibrosis; Prospective Multicentric, Observational, Interventional study in tertiary care setting in India

Introduction: Covid-19 pneumonia is heterogeneous disease with variable effect on lung parenchyma, airways and vasculature leading to long term effects on lung functions. Materials and methods: Multicentric, prospective, observational and interventional study included 1000 covid-19 cases confirmed with RT PCR. All cases were assessed with HRCT thorax, oxygen saturation, inflammatory marker as D-Dimer at entry point and follow up. Age, gender, Comorbidity and use BIPAP/NIV and outcome as with or without lung fibrosis were key observations. In selected cases, lower limb venous doppler and CT pulmonary angiography to rule out DVT or PTE. Statistical analysis is done by using Chi square test. Observations and analysis: Age (&lt;50 and &gt;50 years) and gender (male versus female) has significant association with D-Dimer level. [p&lt;0.00001] &amp; [p&lt;0.010] respectively. CT severity score at entry point with D-Dimer level has significant correlation. [p&lt;0.00001] D-Dimer level has significant association with duration of illness prior to hospitalization. [p&lt;0.00001] Comorbidities have significant association with D-Dimer level. [p&lt;0.00001] D-Dimer level has significant association with oxygen saturation. [p&lt;0.00001] BIPAP/NIV requirement has significant association with D-Dimer level. [p&lt;0.00001] Timing of BIPAP/NIV requirement during hospitalization has significant association with DDimer level. [p&lt;0.00001] Follow-up D-Dimer titer during hospitalization as compared normal &amp; abnormal to entry point level has significant association with post-covid lung fibrosis, deep vein thrombosis and pulmonary thromboembolism. [p&lt;0.00001]. Conclusion: D-Dimer has documented very crucial role in covid-19 pneumonia in predicting severity of illness and assessing response to treatment during hospitalization and follow up titers have significant role in step-up or step-down interventions in critical care setting.

Risk Factors for Mechanical Ventilation in Patients with Guillain-Barré Syndrome.

Respiratory support is required in 20-30% of patients with Guillain-Barré syndrome (GBS). We investigated clinical and biological risk factors for mechanical ventilation (MV) in northeast China through a retrospective GBS study. The Erasmus GBS Respiratory Insufficiency Score (EGRIS) is a prognostic model for MV in patients with GBS, and its usefulness has been validated in several countries but not in China. Therefore, we intended to validate the EGRIS model in our GBS cohort. A total of 252 patients with GBS were included in this study from January 2013 to October 2017. Risk factors for MV were identified via multivariate logistic regression analysis. The prognostic value of the EGRIS was validated via receiver operating characteristic curve analysis. Thirty-one patients (12.3%) required MV (mean age 54.19years), with a majority being male (77.4%). The risk factors for MV were male sex [odds ratio (OR) 3.720, 95% confidence interval (CI) 1.155-11.985, p < 0.05], shorter interval from onset to admission (OR 0.830, 95% CI 0.711-0.970, p < 0.05), lower Medical Research Council sum score at admission (OR 0.942, 95% CI 0.911-0.973, p < 0.001), neutrophil-to-lymphocyte ratio at admission (OR 1.174, 95% CI 1.049-1.315, p < 0.01), and cranial nerve deficit (OR 3.805, 95% CI 1.373-10.541, p < 0.05). The EGRIS had a good predictive ability for MV (area under the receiver operating curve 0.861) in patients with GBS, and a high EGRIS was a predictor for MV (OR 8.778, 95% CI 3.432-22.448, p < 0.001). However, there was no significant difference in ganglioside administration between ventilated and nonventilated patients. An elevated neutrophil-to-lymphocyte ratio at admission and a high EGRIS could serve as predictors for MV in our GBS cohort.