Invasive Mechanical Ventilation Group Research Articles

Derivation and external validation of predictive models for invasive mechanical ventilation in intensive care unit patients with COVID-19

BackgroundThis study aimed to develop prognostic models for predicting the need for invasive mechanical ventilation (IMV) in intensive care unit (ICU) patients with COVID-19 and compare their performance with the Respiratory rate-OXygenation (ROX) index.MethodsA retrospective cohort study was conducted using data collected between March 2020 and August 2021 at three hospitals in Rio de Janeiro, Brazil. ICU patients aged 18 years and older with a diagnosis of COVID-19 were screened. The exclusion criteria were patients who received IMV within the first 24 h of ICU admission, pregnancy, clinical decision for minimal end-of-life care and missing primary outcome data. Clinical and laboratory variables were collected. Multiple logistic regression analysis was performed to select predictor variables. Models were based on the lowest Akaike Information Criteria (AIC) and lowest AIC with significant p values. Assessment of predictive performance was done for discrimination and calibration. Areas under the curves (AUC)s were compared using DeLong’s algorithm. Models were validated externally using an international database.ResultsOf 656 patients screened, 346 patients were included; 155 required IMV (44.8%), 191 did not (55.2%), and 207 patients were male (59.8%). According to the lowest AIC, arterial hypertension, diabetes mellitus, obesity, Sequential Organ Failure Assessment (SOFA) score, heart rate, respiratory rate, peripheral oxygen saturation (SpO2), temperature, respiratory effort signals, and leukocytes were identified as predictors of IMV at hospital admission. According to AIC with significant p values, SOFA score, SpO2, and respiratory effort signals were the best predictors of IMV; odds ratios (95% confidence interval): 1.46 (1.07–2.05), 0.81 (0.72–0.90), 9.13 (3.29–28.67), respectively. The ROX index at admission was lower in the IMV group than in the non-IMV group (7.3 [5.2–9.8] versus 9.6 [6.8–12.9], p < 0.001, respectively). In the external validation population, the area under the curve (AUC) of the ROX index was 0.683 (accuracy 63%), the AIC model showed an AUC of 0.703 (accuracy 69%), and the lowest AIC model with significant p values had an AUC of 0.725 (accuracy 79%).ConclusionsIn the development population of ICU patients with COVID-19, SOFA score, SpO2, and respiratory effort signals predicted the need for IMV better than the ROX index. In the external validation population, although the AUCs did not differ significantly, the accuracy was higher when using SOFA score, SpO2, and respiratory effort signals compared to the ROX index. This suggests that these variables may be more useful in predicting the need for IMV in ICU patients with COVID-19.ClinicalTrials.gov identifier:NCT05663528.

Liver and Inflammatory Biomarkers Are Related to High Mortality in Hospitalized Patients with COVID-19 in Brazilian Amazon Region.

COVID-19 is a multisystem disease with many clinical manifestations, including liver damage and inflammation. The objective of this study is to analyze inflammation biomarkers in relation to the clinical outcome and respiratory symptoms of COVID-19. This is a retrospective cohort of patients with COVID-19 admitted to the Hospital Regional do Baixo Amazonas from 2020 to 2022. Data were collected from electronic medical records from admission to the 30th day of hospitalization and soon after hospital discharge. A total of 397 patients were included in the study. In the longitudinal follow-up of liver markers, a significant difference was found for AST on day 14, with a higher median in the death group. Among the hematological markers, lymphopenia was observed throughout the follow-up, with the death group having the most altered values. When comparing the evolution of biomarkers in the Non-Invasive Ventilation (NIV) and Invasive Mechanical Ventilation (IMV) groups, AST showed a significant difference only on day 14 and GGT on day 1, being greater in the IMV group, and indirect bilirubin on day 7 being more altered in the NIV group. In conclusion, death during hospitalization or a more severe form of COVID-19 was related to significant changes in liver and inflammatory biomarkers.

Respiratory support modalities in cardiogenic shock: insights from a prospective multicenter registry

Abstract Funding Acknowledgements None. Background Respiratory support is a vital component of the comprehensive management of cardiogenic shock (CS). However, there is a lack of data comparing the application of different respiratory support modalities in CS patients. Purpose Aim of this study was to examine the use of low-flow oxygen (LFO), non-invasive ventilation (NIV), and invasive mechanical ventilation (IMV) in a cohort of CS patients and assess their effects on 60-day mortality. Methods We analyzed a cohort of CS patients enrolled in a multicenter prospective registry from twelve cardiac intensive care units from March 2020 to August 2022. Patients were categorized according to the maximum intensity of respiratory support during intensive care unit stay into three groups: LFO, NIV, and IMV. Clinical characteristics and mortality were compared between groups. Results A total of 375 patients were included in our analysis. The median age of the population was 65 years, with 77% being males. During their ICU stay, 139 patients (37%) received LFO, 61 (16%) were treated with NIV, and 175 (47%) underwent IMV. Patients treated with IMV presented more frequently with cardiac arrest (41% vs 8% in the LFO group and 5% in the NIV group, p = 0.00). Patients treated with LFO and NIV had a higher prevalence of CS related to acute decompensated heart failure (40% and 57% vs 21% in the IMV group, p = 0.00); moreover, they presented with less severe respiratory distress, milder tissue hypoperfusion, and better SCAI class upon admission. At sixty days follow-up 128 patients (34%) died: 41% in the IMV group, 28% in the LFO group and 26% in the NIV group (p = 0.02). Multivariate analysis revealed that NIV was independently associated with improved survival (OR 0.47, 95% CI 0.22-0.99, p = 0.05), while age, lactate levels, and glomerular filtration rate were predictors of mortality. A tendency towards improved survival with NIV was observed even after excluding patients with cardiac arrest. Conclusions Compared to previous registries, our study highlights a significant shift in the management of CS, marked by a growing preference for NIV. Notably, this approach, when employed in well-selected patients in the early stages of CS, correlates with lower mortality rates. These findings underscore the significance of personalized treatment strategies for CS patients, considering their clinical presentation, the degree of respiratory distress, and tissue perfusion.60-day survival curvesMultivariate regression analysis

A comprehensive physical functional assessment of survivors of critical care unit stay due to COVID-19.

To examine the physical function and respiratory muscle strength of patients - who recovered from critical COVID-19 - after intensive care unit discharge to the ward on Days one (D1) and seven (D7), and to investigate variables associated with functional impairment. This was a prospective cohort study of adult patients with COVID-19 who needed invasive mechanical ventilation, non-invasive ventilation or high-flow nasal cannula and were discharged from the intensive care unit to the ward. Participants were submitted to Medical Research Council sum-score, handgrip strength, maximal inspiratory pressure, maximal expiratory pressure, and short physical performance battery tests. Participants were grouped into two groups according to their need for invasive ventilation: the Invasive Mechanical Ventilation Group (IMV Group) and the Non-Invasive Mechanical Ventilation Group (Non-IMV Group). Patients in the IMV Group (n = 31) were younger and had higher Sequential Organ Failure Assessment scores than those in the Non-IMV Group (n = 33). The short physical performance battery scores (range 0 - 12) on D1 and D7 were 6.1 ± 4.3 and 7.3 ± 3.8, respectively for the Non-Invasive Mechanical Ventilation Group, and 1.3 ± 2.5 and 2.6 ± 3.7, respectively for the IMV Group. The prevalence of intensive care unit-acquired weakness on D7 was 13% for the Non-IMV Group and 72% for the IMV Group. The maximal inspiratory pressure, maximal expiratory pressure, and handgrip strength increased on D7 in both groups, but the maximal expiratory pressure and handgrip strength were still weak. Only maximal inspiratory pressure was recovered (i.e., > 80% of the predicted value) in the Non-IMV Group. Female sex, and the need and duration of invasive mechanical were independently and negatively associated with the short physical performance battery score and handgrip strength. Patients who recovered from critical COVID-19 and who received invasive mechanical ventilation presented greater disability than those who were not invasively ventilated. However, they both showed marginal functional improvement during early recovery, regardless of the need for invasive mechanical ventilation. This might highlight the severity of disability caused by SARS-CoV-2.

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.

The value of the neutrophil to lymphocyte ratio and PLT count for the diagnosis and prediction of COVID-19 severity.

COVID-19 and influenza A can cause severe respiratory illness. Differentiating between the two diseases and identifying critically ill patients in times of epidemics become a challenge for frontline medical staff. We sought to investigate whether both diseases and their severity could be recognized by routine blood parameters. Our retrospective study analysed the clinical data and first-time routine blood parameters of 80 influenza A patients and 123 COVID-19 patients. COVID-19 patients were divided into three groups according to treatment modalities and outcomes: outpatient group, inpatient without invasive mechanical ventilation (IMV) group, and inpatient with IMV group. We used the Mann-Whitney and Kruskal-Wallis tests to analyze the differences in routine blood parameters between the two or three groups. Receiver operating characteristic (ROC) curve analysis and area under the curve (AUC) were used to assess the diagnostic accuracy. Compared with outpatient influenza A patients, outpatient COVID-19 patients had a higher neutrophil to lymphocyte ratio (NLR) (6.63 vs 3.55). ROC analysis showed that the NLR had a high diagnostic value for differentiating COVID-19 from influenza A (AUC = 0.739). The best cut-off point of the NLR was 6.48, the diagnostic sensitivity was 0.523, and the specificity was 0.925. The median platelet (PLT) count in the different COVID-19 groups was as follows: outpatient group (189×109/L), inpatient without IMV group (161×109/L), and inpatient with IMV group (94×109/L). Multivariate logistic regression analysis found a significant association between PLT and treatment modality and outcome in COVID-19 patients (p<0.001). NLR can be used as a potential biological indicator to distinguish COVID-19 and influenza A. Decreased PLT predicts the critical condition of COVID-19 patients and helps stratify the treatment of COVID-19 patients.

Early prediction of need for invasive mechanical ventilation in the neonatal intensive care unit using artificial intelligence and electronic health records: a clinical study

BackgroundRespiratory support is crucial for newborns with underdeveloped lung. The clinical outcomes of patients depend on the clinician’s ability to recognize the status underlying the presented symptoms and signs. With the increasing number of high-risk infants, artificial intelligence (AI) should be considered as a tool for personalized neonatal care. Continuous monitoring of vital signs is essential in cardiorespiratory care. In this study, we developed deep learning (DL) prediction models for rapid and accurate detection of mechanical ventilation requirements in neonates using electronic health records (EHR).MethodsWe utilized data from the neonatal intensive care unit in a single center, collected between March 3, 2012, and March 4, 2022, including 1,394 patient records used for model development, consisting of 505 and 889 patients with and without invasive mechanical ventilation (IMV) support, respectively. The proposed model architecture includes feature embedding using feature-wise fully connected (FC) layers, followed by three bidirectional long short-term memory (LSTM) layers.ResultsA mean gestational age (GA) was 36.61 ± 3.25 weeks, and the mean birth weight was 2,734.01 ± 784.98 g. The IMV group had lower GA, birth weight, and longer hospitalization duration than the non-IMV group (P < 0.05). Our proposed model, tested on a dataset from March 4, 2019, to March 4, 2022. The mean AUROC of our proposed model for IMV support prediction performance demonstrated 0.861 (95%CI, 0.853–0.869). It is superior to conventional approaches, such as newborn early warning score systems (NEWS), Random Forest, and eXtreme gradient boosting (XGBoost) with 0.611 (95%CI, 0.600–0.622), 0.837 (95%CI, 0.828–0.845), and 0.0.831 (95%CI, 0.821–0.845), respectively. The highest AUPRC value is shown in the proposed model at 0.327 (95%CI, 0.308–0.347). The proposed model performed more accurate predictions as gestational age decreased. Additionally, the model exhibited the lowest alarm rate while maintaining the same sensitivity level.ConclusionDeep learning approaches can help accurately standardize the prediction of invasive mechanical ventilation for neonatal patients and facilitate advanced neonatal care. The results of predictive, recall, and alarm performances of the proposed model outperformed the other models.

Physical function and mental health trajectories in COVID-19 patients following invasive mechanical ventilation: a prospective observational study

This prospective observational cohort study was performed to investigate the physical function and mental health trajectories of novel coronavirus disease 2019 (COVID-19) patients requiring invasive mechanical ventilation (IMV) after discharge from the intensive care unit (ICU). The study population consisted of 64 patients (median age, 60 years; 85.9% male; median IMV duration, 9 days). At ICU discharge, 28.1% of the patients had Medical Research Council (MRC) sum score < 48 points, and prolonged IMV was significantly associated with lower MRC sum score and handgrip strength. Symptoms were similar between groups at ICU discharge, and the symptoms most commonly reported as moderate-to-severe were impaired well-being (52%), anxiety (43%), tiredness (41%), and depression (35%). Although muscle strength and mobility status were significantly improved after ICU discharge, Edmonton Symptom Assessment System score did not improve significantly in the prolonged IMV group. EuroQol five-dimension five-level summary index was significantly lower in the prolonged than short IMV group at 6 months after ICU discharge. We found substantial negative physical function and mental health consequences in the majority of surviving COVID-19 patients requiring IMV, with prolonged period of IMV showing greater negative effects not only immediately but also at 6 months after discharge from the ICU.

Impact of non-invasive ventilation and non-medical caregiver presence on nursing workload – an observational study

Objective: To find out if non-invasive ventilation (NIV) as a ventilation modality increases the burden on nursing personnel and give suggestions how the presence of non-medical caregivers in an ICU with an extreme staff shortage can reduce nursing workload during mechanical ventilation. Background: Although the European Union offers good quality healthcare, there are middle-income countries in the alliance that suffer from nursing staff shortage. For example, Bulgaria needs two times more nurses than it has now to meet the needs of its healthcare system. This calls for strategies that reduce nursing workload as much as possible. There is a common perception that NIV is more time-consuming for nurses compared to invasive mechanical ventilation (IMV) but only a few studies discuss the matter and none of them are settled in the unique environment where medical and non-medical caregivers provide direct patient care as a team. Study design and methods: This is an observational study conducted in a specialised respiratory ICU with trained nurses, physiotherapists, and non-medical caregivers in a university hospital in Bulgaria. Ninety adult patients (43 on NIV and 47 on IMV) with acute respiratory failure that were on mechanical ventilation for at least five days were included. Nursing workload was measured via the Nursing Activities Score (NAS). Average and daily NAS were compared between groups. Then individual components of the score were analysed to determine which activities have the greatest impact on nursing workload. Results: Average (39.72 ± 6.35 vs 46.08 ± 5,66, p< 0.001) and daily NAS for the first five days of mechanical ventilation and was significantly higher in the IMV group. There was a substantial drop of nurse workload with time in both groups, more significant for the patients who ventilated invasively. It occurred on the second day in both groups (NIV: p=0.005, 95%CI: 0.88-4.52; IMV: (p<0,001, 95%CI: 2.72-7.03). NIV patients required more time for monitoring but less for hygiene, fluid administration and nutrition. IMV patients also required specific care for their artificial airway and took more time for lung function improvement procedures. Conclusion: In a setting where direct patient care is provided by both formally trained nurses and nonmedical caregivers IMV was associated with a higher nursing workload than NIV. Implications for research, policy, and practice: In a situation with an extreme staff shortage some of the non-medical nursing activities involving patients on NIV can be potentially transferred to trained nonmedical caregivers. What is already known about the topic? According to the World Health Organization in 2018 there was a nurse shortage of around six million and by 2030 it will increase to 36 million. This negative trend is most prominent in low- and middle-income countries. There is a common perception that NIV is more time-consuming for nurses compared to IMV but only a few research groups address this matter. NIV may require additional time from nursing personnel mainly because of problems with mask fit, skin breakdown and maintenance of an optimal position in bed. NIV is more time-consuming in the first 48 h but then becomes much less demanding. What this paper adds This is the first study where the ICU nursing workload during NIV and IMV is compared in a setting where non-medical caregivers have a substantial role in direct patient care. In a setting where direct patient care is provided by both formally trained nurses and non-medical caregivers IMV was associated with a higher nursing workload than NIV. In a situation with an extreme staff shortage some of the non-medical nursing activities involving patients on NIV (like help with self-hygiene, food, and water intake) can be potentially transferred to trained non-medical caregivers under supervision.

Steroid exposure and outcome in COVID-19 pneumonia.

Corticosteroids are used to treat COVID-19 pneumonia. However, the optimal dose is unclear. This study describes the association between corticosteroid exposure with disease severity and outcome in COVID-19 pneumonia. This is a single-centre retrospective, observational study including adult ICU patients who received systemic corticosteroids for COVID-19 pneumonia between March 2020 and March 2021. We recorded patient characteristics, disease severity, total steroid exposure, respiratory support and gas exchange data, and 90 day survival. We included 362 patients. We allocated patients to groups with increasing disease severity according to the highest level of respiratory support that they received: high flow oxygen or continuous positive airway pressure (HFNO/CPAP) in 12.7%, invasive mechanical ventilation (IMV) in 61.6% and extracorporeal membrane oxygenation (ECMO) in 25.7%. For these three groups the median (IQR) age was 61 (54-71) vs 58 (50-66) vs 46 (38-53) years respectively (p<0.001); median (IQR) APACHE II scores were 12 (9-15) vs 14 (12-18) vs 15 (12-17) respectively (p=0.006); median (IQR) lowest PaO2/FiO2 ratio was 15.1 (11.8-21.7) vs 15.1 (10.7-22.2) vs 9.5 (7.9-10.9) kPa respectively (p<0.001). Ninety-day mortality was 9% vs 27% vs 37% (p=0.002). Median (IQR) dexamethasone-equivalent exposure was 37 (24-62) vs 174 (86, 504) vs 535 (257, 1213) mg (p<0.001_. 'Pulsed' steroids were administered to 26% of the IMV group and 48% of the ECMO group. Patients with higher disease severity who received pulse steroids had a higher 90-day mortality. Corticosteroid exposure increased with the severity of Covid-19 pneumoonia. Pulsed dose steroids were used more frequently in patients receiving greater respiratory support. Future studies should address patient selection and outcomes associated with pulsed dose steroids in patients with severe and deteriorating COVID-19 pneumonia.

Hematological ratios in coronavirus disease 2019 patients with and without invasive mechanical ventilation.

Patients with the most severe form of coronavirus disease 2019 (COVID-19) often require invasive ventilation. Determining the best moment to intubate a COVID-19 patient is complex decision and can result in important consequences for the patient. Therefore, markers that could aid in clinical decision-making such as hematological indices are highly useful. These markers are easy to calculate, do not generate extra costs for the laboratory, and are readily implemented in routine practice. Thus, this study aimed to investigate differences in the ratios calculated from the hemogram between patients with and without the need for invasive mechanical ventilation (IMV) and a control group. This was an observational retrospective analysis of 212 patients with COVID-19 that were hospitalized between April 1, 2020 and March 31, 2021 who were stratified as IMV (n = 129) or did not require invasive mechanical ventilation (NIMV) (n = 83). A control group of 198 healthy individuals was also included. From the first hemogram of each patient performed after admission, the neutrophil-to-lymphocyte ratio (NLR), the derived NLR (d-NLR), the lymphocyte-to-monocyte ratio, the platelet-to-lymphocyte ratio, the neutrophil-to-platelet ratio (NPR), and the systemic immune-inflammation index (SII) were calculated. All hematological ratios exhibited significant differences between the control group and COVID-19 patients. NLR, d-NLR, SII, and NPR were higher in the IMV group than they were in the NIMV group. The hematological indices addressed in this study demonstrated high potential for use as auxiliaries in clinical decision-making regarding the need for IMV.

455: THE USE OF INVASIVE MECHANICAL VENTILATION IN HOSPITALIZED COVID-19 PATIENTS

Introduction: Increased mortality due to COVID-19 in the intensive care unit (ICU) raised questions about the best way and time to use invasive mechanical ventilation (IMV). The purpose of this study is to analyze effectiveness of IMV in COVID-19 patients. Methods: We performed a retrospective analysis of adult patients admitted to our hospital with COVID-19 infection from May 2020 to December 2021. We reviewed the need of IMV in patients admitted to the ICU with APACHE II scores higher than 12.5. Outcomes from the IMV-receiving patients were compared to outcomes from patients on non-invasive mechanical ventilation (NIMV). The second analysis of IMV aimed to determine the best initiation time for IMV. Patients were divided into Group1: early intubation (IMV within the first 24hrs of admission) and Group2: late intubation (IMV later than 24hrs after admission). Primary outcomes included mortality and length of stay (LOS) in the ICU. Descriptive statistics, Mann-Whitney-U and Chi-square methods were used. Results: For the first part of the analysis, 82 patients were included. They were divided into 2 groups (IMV and NIMV) of 41 patients each. Median age in IMV group was 67 [51.5-75.5] vs 64 [47.5-73.5]. 21 (51.2%) patients died in the IMV group vs 22 (53.7%) X2(1, N=82)=0.049, p=0.5. Median LOS in the IMV group was 10 [6-16] days vs 11 [5-19.5] days U(NIMV group=41, NNIMV group=41)=819, z=-0.2, p=0.84. For the second analysis, 68 patients were included. They were divided into 2 groups (Group1 and 2) of 34 patients each. Median age in group1 was 53.5 [25-90] vs 53.5 [37.75-65.25]. 19 (55.9%) patients in group1 were male vs. 26 (76.5%). The median APACHE II, SOFA and ICHIKADO scores on admission in group1 were 8 [6-10.5], 1.5 [1-2], 120 [110-165] points respectively vs 9.5 [6-16.5], 2 [1-4], 150 [132.5-200] points. 3 (8.8%) patients died in group1 vs 11 (32.4%) X2(1, N=68)=5.76,p=0.033. Median LOS in group1 was 4.5 [3-8.5] days vs 6 [3.75-10.5] days U(NGroup1=34, NGroup2=34)=450, z=-1.59, p=0.113. Conclusions: In COVID-19 patients admitted to the ICU with APACHE II score higher than 12.5, mortality and LOS were not significantly different in patients that received IMV vs those that received NIMV. Early intubation correlated with improved mortality, but not with length of ICU stay.

245. Can Inflammatory Markers be used as an Early predictor for Mechanical ventilation in COVID-19 patients with Stages IIIb-V Chronic Kidney Disease?

Abstract Background The clinical use of inflammatory markers soared during the COVID-19 pandemic. Though studies have shown C-reactive protein (CRP) to predict mechanical ventilation (MV) in patients with 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 of inflammatory cytokines. Our aim was to assess the association of inflammatory markers like CRP, ferritin, LDH, D dimer, and MV rate in patients with stages IIIb-V CKD and COVID-19. Methods We conducted a cross-sectional study on inpatients in a community hospital from 12/1/19 to 1/1/22 with COVID-19 and stages IIIb-V CKD without a previous renal transplant. Primary endpoints were invasive MV (IMV) rates, noninvasive MV (NIMV) rates, and 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 530ng/ml, D-dimer 0.5mg/L and LDH 590 U/L. Univariate analysis and Area under curve (AUC-ROC) between the covariates and outcomes were computed. Results 290 patients were screened, and 118 patients met inclusion criteria. CRP, D dimer, and ferritin were significantly different among the three groups. On univariate analysis for IMV, CRP had an OR 5.44; ferritin, OR 2.8; LDH, OR 7.7; D-dimer, OR 3.9, WBC count, OR 4.2 (p&amp;lt; 0.05). Admission CRP level was 0.747 for the IMV group (AUC-ROC, sensitivity 80.8%, specificity 50%) and 0.663 for the NIMV group (AUC-ROC, sensitivity 69.2%, specificity 53%) Conclusion Our results illustrate a positive correlation between CRP, ferritin, and D-dimer levels and MV and NIMV rates. The ROC demonstrates a good sensitivity for CRP levels in detecting MV thereby emphasizing the utility of these biomarkers as good predictive markers in COVID-19 patients with CKD. With increasing use of inflammatory markers to prognosticate disease severity in COVID, the applicability of these markers in different populations should be investigated. A similar pattern of elevated inflammatory markers predicting the rate of MV was found 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 due to CKD alone. Disclosures All Authors: No reported disclosures.

Low Intensity Respiratory Muscle Training in COVID-19 Patients after Invasive Mechanical Ventilation: A Retrospective Case-Series Study.

Worldwide, healthcare systems had to respond to an exponential increase in COVID-19 patients with a noteworthy increment in intensive care units (ICU) admissions and invasive mechanical ventilation (IMV). The aim was to determine low intensity respiratory muscle training (RMT) effects in COVID-19 patients upon medical discharge and after an ICU stay with IMV. A retrospective case-series study was performed. Forty COVID-19 patients were enrolled and divided into twenty participants who received IMV during ICU stay (IMV group) and 20 participants who did not receive IMV nor an ICU stay (non-IMV group). Maximal expiratory pressure (PEmax), maximal inspiratory pressure (PImax), COPD assessment test (CAT) and Medical Research Council (MRC) dyspnea scale were collected at baseline and after 12 weeks of low intensity RMT. A greater MRC dyspnea score and lower PImax were shown at baseline in the IMV group versus the non-IMV group (p &lt; 0.01). RMT effects on the total sample improved all outcome measurements (p &lt; 0.05; d = 0.38-0.98). Intragroup comparisons after RMT improved PImax, CAT and MRC scores in the IMV group (p = 0.001; d = 0.94-1.09), but not for PImax in the non-IMV group (p &gt; 0.05). Between-groups comparison after RMT only showed MRC dyspnea improvements (p = 0.020; d = 0.74) in the IMV group versus non-IMV group. Furthermore, PImax decrease was only predicted by the IMV presence (R2 = 0.378). Low intensity RMT may improve respiratory muscle strength, health related quality of life and dyspnea in COVID-19 patients. Especially, low intensity RMT could improve dyspnea level and maybe PImax in COVID-19 patients who received IMV in ICU.

An algorithm to predict the need for invasive mechanical ventilation in hospitalized COVID-19 patients: the experience in Sao Paulo.

We aimed to characterize patients hospitalized for coronavirus disease 2019 (COVID-19) and identify predictors of invasive mechanical ventilation (IMV). 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. 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. 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.

Noninvasive ventilation in COVID-19 patients aged ≥ 70 years—a prospective multicentre cohort study

BackgroundNoninvasive ventilation (NIV) is a promising alternative to invasive mechanical ventilation (IMV) with a particular importance amidst the shortage of intensive care unit (ICU) beds during the COVID-19 pandemic. We aimed to evaluate the use of NIV in Europe and factors associated with outcomes of patients treated with NIV.MethodsThis is a substudy of COVIP study—an international prospective observational study enrolling patients aged ≥ 70 years with confirmed COVID-19 treated in ICU. We enrolled patients in 156 ICUs across 15 European countries between March 2020 and April 2021.The primary endpoint was 30-day mortality.ResultsCohort included 3074 patients, most of whom were male (2197/3074, 71.4%) at the mean age of 75.7 years (SD 4.6). NIV frequency was 25.7% and varied from 1.1 to 62.0% between participating countries. Primary NIV failure, defined as need for endotracheal intubation or death within 30 days since ICU admission, occurred in 470/629 (74.7%) of patients. Factors associated with increased NIV failure risk were higher Sequential Organ Failure Assessment (SOFA) score (OR 3.73, 95% CI 2.36–5.90) and Clinical Frailty Scale (CFS) on admission (OR 1.46, 95% CI 1.06–2.00). Patients initially treated with NIV (n = 630) lived for 1.36 fewer days (95% CI − 2.27 to − 0.46 days) compared to primary IMV group (n = 1876).ConclusionsFrequency of NIV use varies across European countries. Higher severity of illness and more severe frailty were associated with a risk of NIV failure among critically ill older adults with COVID-19. Primary IMV was associated with better outcomes than primary NIV.Clinical Trial RegistrationNCT04321265, registered 19 March 2020, https://clinicaltrials.gov.

The Neutrophil-to-Lymphocyte Ratio is Associated with the Requirement and the Duration of Invasive Mechanical Ventilation in Acute Respiratory Distress Syndrome Patients: A Retrospective Study.

Background Acute respiratory distress syndrome (ARDS) is associated with high in-hospital mortality and most ARDS patients require ventilatory support. Applying appropriate ventilation strategies based on patients' individual situations has a direct impact upon patients' outcome. The neutrophil-to-lymphocyte ratio (NLR) has been shown to predict the early requirement of invasive mechanical ventilation (IMV) in patients with coronavirus disease 2019 (COVID-19). Our study aimed to investigate the relationship between baseline NLR and IMV in ARDS. Methods A retrospective study was performed on patients who were diagnosed with ARDS using the Berlin definition and admitted to the First Affiliated Hospital of Soochow University from 2017 to 2022. Clinical data within 24 h after the ARDS diagnosis were collected from the medical record system. Based on the ventilation strategies during hospitalization, patients were divided into three groups and their clinical characteristics were compared. Furthermore, logistic regression analysis was used to screen the independent risk factors for IMV. STROBE checklist was used for this manuscript. Results 520 ARDS patients were included and the median NLR value in IMV group was significantly higher than that of other groups (P < 0.001). NLR was significantly associated with the requirement of IMV in ARDS patients (OR, 1.042; 95% CI, 1.025–1.060; P < 0.001), other independent risk factors included PaO2/FiO2, Hb, lactate, and use of vasoactive drugs (all P < 0.05). Moreover, we found that the duration of IMV was longer in patients with high NLR (8[IQR, 3–13], 10[IQR, 6–16], respectively, P=0.025). Conclusions Our results revealed that high baseline NLR level was significantly correlated with an increased risk of IMV in patients with ARDS. Furthermore, higher NLR was associated with prolonged duration of IMV in patients with ARDS.

Long-term functioning status of COVID-19 survivors: a prospective observational evaluation of a cohort of patients surviving hospitalisation

ObjectivesThe study investigated the long-term functional status of hospitalised COVID-19 survivors to explore and document their functional situation.DesignThis prospective observational study assessed 801 COVID-19 survivors at 3–11 months after hospital...

Endocannabinoids, Anandamide and 2-Arachidonoylglycerol, as Prognostic Markers of Sepsis Outcome and Complications.

Background: One of the major challenges in improving sepsis care is early prediction of sepsis complications. The endocannabinoid system has been intensely studied in recent years; however, little is known about its role in sepsis in humans. This study aimed to assess the prognostic role of endocannabinoids, anandamide (AEA) and 2-arachidonoylglycerol (2-AG), as early predictors of mortality, invasive mechanical ventilation (IMV) requirement, and length of stay (LOS) in patients with sepsis. Materials and Methods: In total, 106 patients with confirmed sepsis were enrolled in this study. The patients were divided into groups according to mortality outcome (survival, N=53; nonsurvival, N=53), IMV requirement (IMV group, N=26; non-IMV group, N=80), and LOS (LOS <10 days, N=59; LOS ≥10 days, N=47). Patients' clinical status was assessed along with laboratory biomarkers as well as AEA and 2-AG concentration measurements early on admission to emergency units. AEA and 2-AG levels were measured by enzyme-linked immunosorbent assay (ELISA) using an ELISA processor, EtiMax 3000 (DiaSorin, Saluggia, Italy). The predictive value of AEA and 2-AG for the studied sepsis outcomes and complications was analyzed using univariate and multivariate analyses and receiver operating characteristic (ROC) curve analysis. Results: Two endocannabinoids showed no significant difference between survivors and nonsurvivors, although an AEA concentration <7.16 μg/L predicted mortality outcome with a sensitivity of 57% (95% confidence interval [CI] 42-71) and specificity of 80% (95% CI 66-91). AEA concentrations ≤17.84 μg/L predicted LOS ≥10 days with sensitivity of 98% (95% CI 89-100) and specificity of 34% (95% CI 22-47). When analyzing IMV requirement, levels of AEA and 2-AG were significantly lower within the IMV group compared with the non-IMV group (5.94 μg/L [2.04-9.44] and 6.70 μg/L [3.50-27.04], p=0.043, and 5.68 μg/L [2.30-8.60] and 9.58 μg/L [4.83-40.05], p=0.002, respectively). The 2-AG showed the best performance for IMV requirement prediction, with both sensitivity and specificity of 69% (p<0.001). Endocannabinoid AEA was an independent risk factor of LOS ≥10 days (odds ratio [OR] 23.59; 95% CI 3.03-183.83; p=0.003) and IMV requirement in sepsis (OR 0.79; 95% CI, 0.67-0.93; p=0.004). Conclusion: Low AEA concentration is a prognostic factor of hospital LOS longer than 10 days. Lower AEA and 2-AG concentrations obtained at the time of admission to the hospital are predictors of IMV requirement.

Cytokine Profiles as Potential Prognostic and Therapeutic Markers in SARS-CoV-2-Induced ARDS.

Background. Glucocorticoids (GCs) have been shown to reduce mortality and the need for invasive mechanical ventilation (IMV) in SARS-CoV-2-induced acute respiratory distress syndrome (ARDS). It has been suggested that serum cytokines levels are markers of disease severity in ARDS, although there is only limited evidence of a relationship between the longitudinal cytokine profile and clinical outcomes in patients with SARS-CoV-2-induced ARDS treated with GC. Methods. We conducted a single-center observational study to investigate serial plasma cytokine levels in 17 patients supported with non-invasive ventilation (NIV) in order to compare the response in five patients who progressed to IMV versus 12 patients who continued with NIV alone. All patients received methylprednisolone 80 mg/day continuous infusion until clinical improvement. Results. The study groups were comparable at baseline. All patients survived. Although IL-6 was higher in the NIV group at baseline, several cytokines were significantly higher in the IMV group on day 7 (IL-6, IL-8, IL-9, G-CSF, IP-10, MCP-1, MIP-1α) and 14 (IL-6, IL-8, IL-17, G-CSF, MIP-1α, RANTES). No significant differences were observed between groups on day 28. Conclusions. Patients in the IMV group had higher inflammation levels at intubation than the NIV group, which may indicate a higher resistance to glucocorticoids. Higher GC doses or a longer treatment duration in these patients might have allowed for a better control of inflammation and a better outcome. Further studies are required to define the prognostic value of cytokine patterns, in terms of both GC treatment tailoring and timely initiation of IMV.