Incidence, Risk Factors, and Outcomes of Intra-Abdominal Hypertension in Critically Ill Patients—A Prospective Multicenter Study (IROI Study)

Blaser, Annika Reintam; Regli, Adrian; Keulenaer, Bart De; Kimball, Edward J.; Starkopf, Liis; Davis, Wendy A.; Greiffenstein, Patrick; Starkopf, Joel

doi:10.1097/ccm.0000000000003623

Cited by 122 publications

(81 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…59.4% of patients who had abdominal trauma with AIS (1-5) had PMV compared to 41.6% of those who didn't sustain abdominal injury. Although Blaser et al found that there is a strong correlation between the intra-abdominal hemorrhage and the ICU length of stay and the PMV [50], the severity of the abdominal injury as measured by the AIS was found insignificant predictor of PMV in other studies [12,13]. This could be attributed to different data processing and inclusion criteria that were followed in the every study.…”

Section: Plos Onementioning

confidence: 92%

Using trauma registry data to predict prolonged mechanical ventilation in patients with traumatic brain injury: Machine learning approach

et al. 2020

View full text Add to dashboard Cite

We aimed to build a machine learning predictive model to predict the risk of prolonged mechanical ventilation (PMV) for patients with Traumatic Brain Injury (TBI). Methods This study included TBI patients who were hospitalized in a level 1 trauma center between January 2014 and February 2019. Data were analyzed for all adult patients who received mechanical ventilation following TBI with abbreviated injury severity (AIS) score for the head region of � 3. This study designed three sets of machine learning models: set A defined PMV to be greater than 7 days, set B (PMV > 10 days) and set C (PMV >14 days) to determine the optimal model for deployment. Patients' demographics, injury characteristics and CT findings were used as predictors. Logistic regression (LR), Artificial neural networks (ANN) Support vector machines (SVM), Random Forest (RF) and C.5 Decision Tree (C.5 DT) were used to predict the PMV. Results The number of eligible patients that were included in the study were 674, 643 and 622 patients in sets A, B and C respectively. In set A, LR achieved the optimal performance with accuracy 0.75 and Area under the curve (AUC) 0.83. SVM achieved the optimal performance among other models in sets B with accuracy/AUC of 0.79/0.84 respectively. ANNs achieved the optimal performance in set C with accuracy/AUC of 0.76/0.72 respectively. Machine learning models in set B demonstrated more stable performance with higher prediction success and discrimination power.

show abstract

Section: Plos Onementioning

confidence: 92%

Using trauma registry data to predict prolonged mechanical ventilation in patients with traumatic brain injury: Machine learning approach

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Intra-abdominal hypertension IAH can attenuate splanchnic blood flow [47] and exacerbate bowel oedema [48]. No intervention targeting IAH has been shown to improve GI function or outcomes in the critically ill. Effect of IAH on the outcome depends on the severity and dynamics of IAH [49].…”

Section: Systemic Managementmentioning

confidence: 99%

Gastrointestinal dysfunction in the critically ill: a systematic scoping review and research agenda proposed by the Section of Metabolism, Endocrinology and Nutrition of the European Society of Intensive Care Medicine

Blaser¹,

Preiser²,

Fruhwald³

et al. 2020

Crit Care

Self Cite

106

109

View full text Add to dashboard Cite

Background: Gastrointestinal (GI) dysfunction is frequent in the critically ill but can be overlooked as a result of the lack of standardization of the diagnostic and therapeutic approaches. We aimed to develop a research agenda for GI dysfunction for future research. We systematically reviewed the current knowledge on a broad range of subtopics from a specific viewpoint of GI dysfunction, highlighting the remaining areas of uncertainty and suggesting future studies. Methods: This systematic scoping review and research agenda was conducted following successive steps: (1) identify clinically important subtopics within the field of GI function which warrant further research; (2) systematically review the literature for each subtopic using PubMed, CENTRAL and Cochrane Database of Systematic Reviews; (3) summarize evidence for each subtopic; (4) identify areas of uncertainty; (5) formulate and refine study proposals that address these subtopics; and (6) prioritize study proposals via sequential voting rounds.

show abstract

“…The interactions between the abdominal and the thoracic compartments represent a challenge for ICU physicians [1,2]. Approximately 50% of intra-abdominal pressure (IAP) is transmitted to the intrathoracic compartment [3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

“…An elevated IAP can be classified as follows: 1. intra-abdominal hypertension (IAH) with an IAP above 12 mmHg and 2. abdominal compartment syndrome with an IAP above 20 mmHg [8,9]. Both are an independent risk factor for organ failure and mortality in the ICU [1,7].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Effect of moderate elevated intra-abdominal pressure on lung mechanics and histological lung injury at different positive end-expiratory pressures

et al. 2020

View full text Add to dashboard Cite

IntroductionIntra-abdominal hypertension (IAH) is a well-known phenomenon in critically ill patients. Effects of a moderately elevated intra-abdominal pressure (IAP) on lung mechanics are still not fully analyzed. Moreover, the optimal positive end-expiratory pressure (PEEP) in elevated IAP is unclear. MethodsWe investigated changes in lung mechanics and transformation in histological lung patterns using three different PEEP levels in eighteen deeply anesthetized pigs with an IAP of 10 mmHg. After establishing the intra-abdominal pressure, we randomized the animals into 3 groups. Each of n = 6 (Group A = PEEP 5, B = PEEP 10 and C = PEEP 15 cmH 2 O). Endexpiratory lung volume (EELV/kg body weight (bw)), pulmonary compliance (C stat ), driving pressure (ΔP) and transpulmonary pressure (ΔP L ) were measured for 6 hours. Additionally, the histological lung injury score was calculated. ResultsComparing hours 0 and 6 in group A, there was a decrease of EELV/kg (27±2 vs. 16±1 ml/ kg; p<0.05) and of C stat (42±2 vs. 27±1 ml/cmH 2 O; p<0.05) and an increase of ΔP (11±0 vs. 17±1 cmH 2 O; p<0.05) and ΔP L (6±0 vs. 10±1 cmH 2 O; p<0.05). In group B, there was no significant change in EELV/kg (27±3 vs. 24±3 ml/kg), but a decrease in C stat (42±3 vs. 32±1 ml/ cmH 2 0; p<0.05) and an increase in ΔP (11±1 vs. 15±1 cmH 2 O; p<0.05) and ΔP L (5±1 vs. 7 ±0 cmH 2 O; p<0.05). In group C, there were no significant changes in EELV/kg (27±2 vs. 29 ±3 ml/kg), ΔP (10±1 vs. 12±1 cmH 2 O) and ΔP L (5±1 vs. 7±1 cmH 2 O), but a significant PLOS ONE PLOS ONE | https://doi.org/10.1371/journal.pone.0230830 April 15, 2020 1 / 12 OPEN ACCESS Citation: Fiedler MO, Deutsch BL, Simeliunas E, Diktanaite D, Harms A, Brune M, et al. (2020) Effect of moderate elevated intra-abdominal pressure on lung mechanics and histological lung injury at different positive end-expiratory pressures. PLoS ONE 15(4): e0230830. https://doi.org/10.

show abstract

Incidence, Risk Factors, and Outcomes of Intra-Abdominal Hypertension in Critically Ill Patients—A Prospective Multicenter Study (IROI Study)

Abstract: Supplemental Digital Content is available in the text.

Cited by 122 publications

References 22 publications

Using trauma registry data to predict prolonged mechanical ventilation in patients with traumatic brain injury: Machine learning approach

Using trauma registry data to predict prolonged mechanical ventilation in patients with traumatic brain injury: Machine learning approach

Gastrointestinal dysfunction in the critically ill: a systematic scoping review and research agenda proposed by the Section of Metabolism, Endocrinology and Nutrition of the European Society of Intensive Care Medicine

Effect of moderate elevated intra-abdominal pressure on lung mechanics and histological lung injury at different positive end-expiratory pressures

Contact Info

Product

Resources

About