Hematoma Hounsfield units and expansion of intracerebral hemorrhage: A potential marker of hemostatic clot contraction

2020 ◽  
pp. 174749301989570 ◽  
Author(s):  
Han-Gil Jeong ◽  
Jae Seung Bang ◽  
Beom Joon Kim ◽  
Hee-Joon Bae ◽  
Moon-Ku Han
Keyword(s):  
Computed Tomography ◽  
Logistic Regression ◽  
Intracerebral Hemorrhage ◽  
Hematoma Expansion ◽  
P Value ◽  
Discrimination Power ◽  
Multivariable Logistic Regression ◽  
C Statistic ◽  
Potential Marker ◽  
Clot Contraction

Background Clot contraction reinforces hemostasis by providing an impermeable barrier and contractile force. Since computed tomography attenuation of intracerebral hemorrhage is largely determined by the density of red blood cells, clot contraction can be reflected in an increase of Hounsfield unit (HU) of hematoma. Aims We hypothesized that hematoma expansion is inversely associated with mean HU of intracerebral hemorrhage at presentation. Methods Eighty-nine consecutive spontaneous intracerebral hemorrhage patients with onset to first computed tomography within 24 h were included. Hematomas were segmented using semiautomated planimetry to measure the volume and mean HU. Hematoma expansion was defined as an increase in hematoma volume by over 33% or 6 mL. Multivariable logistic regression was performed for hematoma expansion. The discrimination power of mean HU for hematoma expansion was assessed using C-statistic. Results The computed tomography attenuation of hematoma at presentation was 57.5 ± 3.3 HU and the volume was 16.9 ± 23.2 mL. Hematoma expansion occurred in 37.1% of patients. The computed tomography attenuation of hematoma was lower in patients with hematoma expansion than with no expansion (55.7 ± 2.9 HU vs. 58.6 ± 3.1 HU, p-value < 0.01). Multivariable logistic regression revealed that the mean HU of hematoma was inversely associated with hematoma expansion (adjusted odds ratio, 0.64; 95% confidence interval, 0.51–0.80). The C-statistic of the model with four known predictors increased from 0.66 to 0.84 after incorporating mean HU (p-value < 0.01). Conclusions Intracerebral hemorrhage with lower mean HU of hematoma at presentation is more likely to undergo hematoma expansion. This finding suggests the potential presence of clot contraction process that reinforces hemostasis in intracerebral hemorrhage.

scholarly journals Peak perihemorrhagic edema correlates with functional outcome in intracerebral hemorrhage

Neurology ◽  
2018 ◽  
Vol 90 (12) ◽  
pp. e1005-e1012 ◽  
Author(s):  
Bastian Volbers ◽  
Antje Giede-Jeppe ◽  
Stefan T. Gerner ◽  
Jochen A. Sembill ◽  
Joji B. Kuramatsu ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Intracerebral Hemorrhage ◽  
Functional Outcome ◽  
Retrospective Cohort ◽  
Independent Predictor ◽  
Hematoma Expansion ◽  
Factors Influencing ◽  
Multivariable Logistic Regression ◽  
Inflammatory Processes ◽  
Perihemorrhagic Edema

ObjectiveTo evaluate the association of perihemorrhagic edema (PHE) evolution and peak edema extent with day 90 functional outcome in patients with intracerebral hemorrhage (ICH) and identify pathophysiologic factors influencing edema evolution.MethodsThis retrospective cohort study included patients with spontaneous supratentorial ICH between January 2006 and January 2014. ICH and PHE volumes were studied using a validated semiautomatic volumetric algorithm. Multivariable logistic regression and propensity score matching (PSM) accounting for age, ICH volume, and location were used for assessing measures associated with functional outcome and PHE evolution. Clinical outcome on day 90 was assessed using the modified Rankin Scale (0–3 = favorable, 4–6 = poor).ResultsA total of 292 patients were included. Median age was 70 years (interquartile range [IQR] 62–78), median ICH volume on admission 17.7 mL (IQR 7.9–40.2). Besides established factors for functional outcome, i.e., ICH volume and location, age, intraventricular hemorrhage, and NIH Stroke Scale score on admission, multivariable logistic regression revealed peak PHE volume (odds ratio [OR] 0.984 [95% confidence interval (CI) 0.973–0.994]) as an independent predictor of day 90 outcome. Peak PHE volume was independently associated with initial PHE increase up to day 3 (OR 1.060 [95% CI 1.018–1.103]) and neutrophil to lymphocyte ratio on day 6 (OR 1.236 [95% CI 1.034–1.477; PSM cohort, n = 124]). Initial PHE increase (PSM cohort, n = 224) was independently related to hematoma expansion (OR 3.647 [95% CI 1.533–8.679]) and fever burden on days 2–3 (OR 1.456 [95% CI 1.103–1.920]).ConclusionOur findings suggest that peak PHE volume represents an independent predictor of functional outcome after ICH. Inflammatory processes and hematoma expansion seem to be involved in PHE evolution and may represent important treatment targets.

Abstract W P322: Prediction of Intracerebral Hemorrhage Expansion With Clinical, Laboratory, Pharmacologic, and Noncontrast Radiographic Variables

Stroke ◽  
2015 ◽  
Vol 46 (suppl_1) ◽  
Author(s):  
Sheila Chan ◽  
Vivek A Rao ◽  
Alexander C Flint
Keyword(s):  
Logistic Regression ◽  
Intracerebral Hemorrhage ◽  
Goodness Of Fit ◽  
Clinical Laboratory ◽  
Healthcare Delivery ◽  
Hematoma Expansion ◽  
Contrast Extravasation ◽  
Head Ct ◽  
Multivariable Logistic Regression ◽  
D Model

Introduction: Hematoma expansion (HE) is a cause of excess mortality in intracerebral hemorrhage (ICH), and HE is potentially preventable if at-risk patients can be identified. Contrast extravasation on initial computed tomographic angiography (CTA) strongly predicts HE, yet most centers do not integrate CTA into early ICH management. We therefore asked whether other variables available at presentation might be used to predict HE. Methods: We searched the electronic medical records of a large integrated healthcare delivery system to identify patients with a hospitalization discharge diagnosis of ICH during a three year period (2008-2010). HE was defined as ICH volume increase by 1/3 or by 12.5mL, as determined by ABC/2 estimation, within 48 hours of presentation. Pre-specified patient variables including age, gender, medical comorbidities, medication use, and in-hospital vital signs were extracted. Stepwise multivariable logistic regression was performed to model HE in patients with at least two head CT scans (HE group), and HE or death by 48 hours among patients with only one head CT (HE+D group). The area under the receiver operating characteristic curve (AUROC) and pseudo r-squared (pseudo-r2) statistics were used to assess model goodness-of-fit. Results: For the 2 study cohorts, 91/257 (35%) had HE and 163/343 (48%) had HE+D. In stepwise multivariable logistic regression, antithrombotic use (OR = 1.9, P=0.04) and initial mNIHSS (OR = 1.06, P=0.001) were significant predictors in the HE model (AUROC = 0.6712, pseudo-R2 = 0.0641). In the HE+D model, age (OR = 1.02, P=0.02), initial mNIHSS (OR = 1.07, P<0.001), and initial hematoma volume (OR = 1.01, P=0.03) were significant predictors (AUROC = 0.7579, pseudo-R2 = 0.1722). Conclusion: Our model predicting HE+D was better fitted than the HE model. The resemblance to known predictors of ICH mortality in the HE+D model suggests that the improved fit may be driven by mortality rather than HE. CTA contrast extravasation remains the strongest predictor of HE and merits consideration as a standard in early ICH care.

scholarly journals Hematoma Ventricle Distance on Computed Tomography Predicts Poor Outcome in Intracerebral Hemorrhage

2020 ◽  
Vol 14 ◽  
Author(s):  
Lan Deng ◽  
Yun-Dong Zhang ◽  
Jian-Wen Ji ◽  
Wen-Song Yang ◽  
Xiao Wei ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Logistic Regression ◽  
Intracerebral Hemorrhage ◽  
Functional Outcome ◽  
Final Analysis ◽  
Hematoma Expansion ◽  
Youden Index ◽  
Multivariable Logistic Regression Analysis ◽  
Poor Outcome

ObjectiveTo investigate the relationship between hematoma ventricle distance (HVD) and clinical outcome in patients with intracerebral hemorrhage (ICH).MethodsWe prospectively enrolled consecutive patients with ICH in a tertiary academic hospital between July 2011 and April 2018. We retrospectively reviewed images for all patients receiving a computed tomography (CT) within 6 h after onset of symptoms and at least one follow-up CT scan within 36 h. The minimum distance of hematoma border to nearest ventricle was measured as HVD. Youden index was used to evaluate the cutoff of HVD predicting functional outcome. Logistic regression model was used to assess the HVD data and clinical poor outcome (modified Rankin Scale 4–6) at 90 days.ResultsA total of 325 patients were included in our final analysis. The median HVD was 2.4 mm (interquartile range, 0–5.7 mm), and 119 (36.6%) patients had poor functional outcome at 3 months. After adjusting for age, admission Glasgow coma scale, intraventricular hemorrhage, baseline ICH volume, admission systolic blood pressure, blood glucose, hematoma expansion, withdrawal of care, and hypertension, HVD ≤ 2.5 mm was associated with increased odds of clinical poor outcome [odd ratio, 3.59, (95%CI = 1.72–7.50); p = 0.001] in multivariable logistic regression analysis.ConclusionHematoma ventricle distance allows physicians to quickly select and stratify patients in clinical trials and thereby serve as a novel and useful addition to predict ICH prognosis.

scholarly journals Male Gender Increases the Risk of Liver Fibrosis in Patients with Thalassemia Major Independent of Iron Overload

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 3630-3630
Author(s):  
Murtadha K. Al-Khabori ◽  
Said Al Busaifi ◽  
Al Ghaliya Al Omairi ◽  
Moez Hassan ◽  
Humoud Al Dhuhli ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Liver Fibrosis ◽  
Iron Overload ◽  
Iron Concentration ◽  
Thalassemia Major ◽  
Male Gender ◽  
Ultrasound Elastography ◽  
P Value ◽  
Positive Serology ◽  
Multivariable Logistic Regression

Abstract Introduction and Objectives: Iron overload in patients with Thalassemia Major (TM) leads to various complications including liver fibrosis. The independent impact of gender on this risk has been previously investigated but not yet confirmed. We, therefore, planned to assess the independent impact of gender in patients with TM on the risk of liver fibrosis. Methods: We included 96 patients with TM followed and transfused in one academic tertiary hospital. Patients underwent assessment of liver fibrosis using ultrasound elastography (FibroScan device) with a cut off value of 7.8 kPa. The mean ferritin in the 5 years prior to elastography assessment was used to represent iron overload. Association was tested using Chi-squared and the independent impact of gender was confirmed in the multivariable logistic regression with a model that included mean ferritin and gender. Results: The median age of the 96 included patients was 26 years (Interquartile range [IQR]: 22-30). Males constituted 45% of patients and 33% of patients were splenectomised. The median alanine transaminase, aspartate transaminase, albumin and total bilirubin were 30 U/L (IQR: 18-64), 30 U/L (IQR: 18-46), 46 g/L (IQR: 44-48) and 21 µmol/L (IQR: 14-32) respectively. The median ferritin and liver iron concentration assessed by MRI T2* were 1293 µg/L (IQR: 753-2715) and 6.7 mg/gdw (IQR: 3.5-16.1) respectively. Thirty seven percent of patients had positive serology for HCV while 1% of patients had positive serology for HBV. The proportion of patients with fibrosis as assessed by elastography was 59%. The proportion of male patients with fibrosis was 70% compared to 51% in female patients with a trend towards statistical significance (odds ratio [OR] of 2.2 with a p value of 0.094). In the multivariable logistic regression model, both gender (OR of 3.0, P value of 0.0188) and ferritin (OR of 1.0004, p value of 0.0036) were statistically significant independent predictors of liver fibrosis. Conclusion: Male gender increases the risk of liver fibrosis independent from iron overload. Our study confirms the previously suspected but unproven association. Follow up and therapy may be tailored to include gender as a decision factor. Larger studies are needed to further confirm these results. Disclosures No relevant conflicts of interest to declare.

scholarly journals Mediation effects of mean Hounsfield unit on relationship between hemoglobin and expansion of intracerebral hemorrhage

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yong Soo Kim ◽  
Han-Gil Jeong ◽  
Hee-Yun Chae ◽  
Beom Joon Kim ◽  
Jihoon Kang ◽  
...  
Keyword(s):  
Intracerebral Hemorrhage ◽  
Mediation Analysis ◽  
Hounsfield Unit ◽  
Mediation Effect ◽  
Hematoma Expansion ◽  
Hematoma Volume ◽  
Mediation Effects ◽  
Potential Marker ◽  
Baseline Systolic Blood Pressure ◽  
The Mean

AbstractLow hemoglobin levels are known to be associated with hematoma expansion (HE) and poor functional outcome in patients with intracerebral hemorrhage (ICH). However, it is not yet known whether low hemoglobin itself causes HE directly or is merely a confounder. Thus, we investigated the mediation effect of the mean Hounsfield unit (HU) of hematoma on the relationship between low hemoglobin and expansion of ICH. Overall, 232 consecutive patients with ICH who underwent non-contrast computed tomography (NCCT) within 12 h since onset were included. The mean HU and hematoma volume on NCCT were investigated using semi-automated planimetry. HE was defined as an increase in hematoma volume > 33% or 6 mL. The respective associations among the hemoglobin level, mean HU, and HE were analyzed using multivariable regression analysis, adjusting for age, sex, and known HE predictors. Mediation analysis was performed to examine the potential causal association among the three. HE occurred in 34.5% of patients; hemoglobin levels were inversely associated with HE occurrence (adjusted odds ratio, 0.90; p = 0.03). The mean HU of the hematoma was lower in patients with HE than in patients without HE (58.5 ± 3.3 vs. 56.8 ± 3.0; p < 0.01). Hemoglobin levels on admission were linearly related to the mean HU (adjusted β, 0.33; p < 0.01) after adjusting for known HE predictors (time from onset to CT, antithrombotic use, hematoma volume). Causal mediation analysis showed a significant mediation effect of the mean HU on the association between hemoglobin levels and HE (p = 0.04). The proportion of indirect effect through the mean HU among the total effect was 19% (p = 0.05). The mediation effect became nonsignificant in the when the multivariable model was adjusted with additional covariates (baseline systolic blood pressure and hematoma location). The mean HU of the hematoma mediated the association between hemoglobin levels and HE occurrence. Therefore, the mean HU of the hematoma may be a potential marker of impaired hemostasis in patients with ICH.

scholarly journals Liver fibrosis indices associated with substantial hematoma expansion in Chinese patients with primary intracerebral hemorrhage

BMC Neurology ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Huan Wang ◽  
Jiongxing Wu ◽  
Xue Yang ◽  
Junfeng Liu ◽  
Wendan Tao ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Liver Fibrosis ◽  
Intracerebral Hemorrhage ◽  
Chinese Population ◽  
Binary Logistic Regression ◽  
Chinese Patients ◽  
Hematoma Expansion ◽  
West China Hospital ◽  
West China ◽  
Increased Risk

Abstract Background Whether liver fibrosis is associated with increased risk for substantial hematoma expansion (HE) after intracerebral hemorrhage (ICH) is still uncertain. We evaluated the association between various liver fibrosis indices and substantial HE in a Chinese population with primary ICH. Methods Primary ICH patients admitted to West China Hospital within 24 h of onset between January 2015 and June 2018 were consecutively enrolled. Six liver fibrosis indices were calculated, including aspartate aminotransferase (AST)-platelet ratio index (APRI), AST/alanine aminotransferase ratio-platelet ratio index (AARPRI), fibrosis-4 (FIB-4), modified fibrosis-4 (mFIB-4), fibrosis quotient (FibroQ) and Forns index. Substantial HE was defined as an increase of more than 33% or 6 mL from baseline ICH volume. The association of each fibrosis index with substantial HE was analyzed using binary logistic regression. Results Of 436 patients enrolled, about 85% showed largely normal results on standard hepatic assays and coagulation parameters. Substantial HE occurred in 115 (26.4%) patients. After adjustment, AARPRI (OR 1.26, 95% CI 1.00-1.57) and FIB-4 (OR 1.15, 95% CI 1.02-1.30) were independently associated with substantial HE in ICH patients within 24 h of onset, respectively. In ICH patients within 6 h of onset, each of the following indices was independently associated with substantial HE: APRI (OR 2.64, 95% CI 1.30-5,36), AARPRI (OR 1.55, 95% CI 1.09-2.21), FIB-4 (OR 1.35, 95% CI 1.08-1.68), mFIB-4 (OR 1.09, 95% CI 1.01-1.18), FibroQ (OR 1.08, 95% CI 1.00-1.16) and Forns index (OR 1.37, 95% CI 1.10-1.69). Conclusions Liver fibrosis indices are independently associated with higher risk of substantial HE in Chinese patients with primary ICH, which suggesting that subclinical liver fibrosis could be routinely assessed in such patients to identify those at high risk of substantial HE.

scholarly journals Tranexamic Acid for Prevention of Hematoma Expansion in Intracerebral Hemorrhage Patients With or Without Spot Sign

Stroke ◽  
2021 ◽  
Author(s):  
Christian Ovesen ◽  
Janus Christian Jakobsen ◽  
Christian Gluud ◽  
Thorsten Steiner ◽  
Zhe Law ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Intracerebral Hemorrhage ◽  
Tranexamic Acid ◽  
Symptom Onset ◽  
Odds Ratio ◽  
Hematoma Expansion ◽  
Spot Sign ◽  
Main Trial ◽  
Acid Versus ◽  
Acute Intracerebral Hemorrhage

Background and Purpose: The computed tomography angiography or contrast-enhanced computed tomography based spot sign has been proposed as a biomarker for identifying on-going hematoma expansion in patients with acute intracerebral hemorrhage. We investigated, if spot-sign positive participants benefit more from tranexamic acid versus placebo as compared to spot-sign negative participants. Methods: TICH-2 trial (Tranexamic Acid for Hyperacute Primary Intracerebral Haemorrhage) was a randomized, placebo-controlled clinical trial recruiting acutely hospitalized participants with intracerebral hemorrhage within 8 hours after symptom onset. Local investigators randomized participants to 2 grams of intravenous tranexamic acid or matching placebo (1:1). All participants underwent computed tomography scan on admission and on day 2 (24±12 hours) after randomization. In this sub group analysis, we included all participants from the main trial population with imaging allowing adjudication of spot sign status. Results: Of the 2325 TICH-2 participants, 254 (10.9%) had imaging allowing for spot-sign adjudication. Of these participants, 64 (25.2%) were spot-sign positive. Median (interquartile range) time from symptom onset to administration of the intervention was 225.0 (169.0 to 310.0) minutes. The adjusted percent difference in absolute day-2 hematoma volume between participants allocated to tranexamic versus placebo was 3.7% (95% CI, −12.8% to 23.4%) for spot-sign positive and 1.7% (95% CI, −8.4% to 12.8%) for spot-sign negative participants ( P heterogenity =0.85). No difference was observed in significant hematoma progression (dichotomous composite outcome) between participants allocated to tranexamic versus placebo among spot-sign positive (odds ratio, 0.85 [95% CI, 0.29 to 2.46]) and negative (odds ratio, 0.77 [95% CI, 0.41 to 1.45]) participants ( P heterogenity =0.88). Conclusions: Data from the TICH-2 trial do not support that admission spot sign status modifies the treatment effect of tranexamic acid versus placebo in patients with acute intracerebral hemorrhage. The results might have been affected by low statistical power as well as treatment delay. REGISTRATION: URL: http://www.controlled-trials.com ; Unique identifier: ISRCTN93732214.

SOME PREDICTING FACTORS OF HEMATOMA EXPANSION AFTER PRIMARY INTRACEREBRAL HEMORRHAGE

2017 ◽  
pp. 31-37
Author(s):  
Song Hao Nguyen ◽  
Quoc Chinh Luong ◽  
Dang Luu Vu ◽  
Dat Anh Nguyen ◽  
Duy Ton Mai
Keyword(s):  
Computed Tomography ◽  
Intracerebral Hemorrhage ◽  
Clinical Symptoms ◽  
Hematoma Expansion ◽  
Univariable Analysis ◽  
Liver Transaminase ◽  
Blood Tests ◽  
Predicting Factors ◽  
Neurologic Emergency ◽  
Symptoms And Signs

Background and purpose: Primary intracerebral hemorrhage is a common neurologic emergency, with high mortality rate, severe sequela and also burdens for families and society. Hematoma expansions after acute primary intracerebral hemorrhage are very important complications that worsen the clinical outcome. Thus, the aim of this research is to predict some factors of the mobidity. Methods: We performed a descriptive, observative study of 32 patients with acute primary intracerebral hemorrhage within 6 hours after onset at The Emergency Department, Bach Mai Hospital from November 2014 to July 2016. The computed tomography (CT) and computed tomography angiography (CTA) were indicated for all patients before 6 hours of onset and repeated CLVT without contrast after 24 hours. Patients were divided into 2 groups with or without hematoma expansions to investigate clinical symptoms and signs, blood tests and neuroimaging in univariable analysis of some predicting factors of hematoma expansion. Results: Research on 32 patients with striCLVT criteria showed that the rate of hematoma expansion occurred in 40.6% and spot signs on CTA was seen in 25% (8/32) of cases. There were 5 factors which might associate to hematoma expansions including time from onset to admission less than 3 hours (55% before 3h vs 16.7% after 3h, p<0.05), low prothrombine ratio (83.8±12.2% vs 97.7±18%, p<0.05), liver transaminase elevations, heterogeneous hematoma shapes and chấm máu signs on CTA. Conclusions: In univariable analysis, there were 5 early predicting factors which might relate to hematoma expansions for acute primary intracerebral hemorrhage, including time from onset to admission less than 3 hours, spot signs on CTA, heterogeneous hematoma shapes, liver transaminase elevations and low prothrombin ratio. Key words: Primary intracerebral hemorrhage, clinical

Abstract 92: Demographic, Regional and Social Predictors of Do Not Resuscitate Order Utilization in Intracerebral Hemorrhage: A National Perspective

Stroke ◽  
2015 ◽  
Vol 46 (suppl_1) ◽  
Author(s):  
Vishal B Jani ◽  
Achint Patel ◽  
Girish Nadkarni ◽  
Alexandre Benjo ◽  
Narender Annapureddy ◽  
...  
Keyword(s):  
Intracerebral Hemorrhage ◽  
Private Insurance ◽  
Female Gender ◽  
P Value ◽  
Weighted Estimate ◽  
Do Not Resuscitate ◽  
Discrimination Power ◽  
Social Predictors ◽  
North East ◽  
Dnr Orders

Background: Non-traumatic Intracerebral hemorrhage (ICH) is a life-threatening condition associated with substantial morbidity and mortality. Do-not-resuscitate (DNR) orders have recently linked to poor outcomes in ICH patients probably due to the inactive management associated with these orders. Hypothesis: We tested the hypothesis that demographic, regional and social factors not related to ICH severity are significant predictors of DNR utilization. Methods: We reviewed the Healthcare Cost and Utilization Project's Nationwide Inpatient Sample (NIS) database from 2011-2012 for ICH admissions in patients >18 years using the ICD 9-CM code 431. We defined DNR status with ICD code - V49.86 entered during the same admission as a secondary diagnosis and estimated severity of illness by the 3M™ All Patient Refined DRG (APR DRG) classification System. A hierarchical two level multivariate regression model were generated to estimate odds ratios (OR) for predictors of DNR utilization and discrimination power of models was assessed using C statistics. We considered a two tailed p value of <0.01 to be significant. Results: We analyzed 25768 pts (weighted estimate 126254) with ICH out of which 4620 (18%) pts (weighted estimate 22668) had DNR orders placed. In multivariable regression analysis, female gender (OR 1.2, 95% CI 1.2-1.3), Ethnicity [White(OR 1.6, 95% CI 1.5-1.7) and Hispanic(OR 1.2, 95% CI 1.1-1.3) compared to Black], Insurance [Medicare (OR 1.1, 95% CI 1.1-1.2) and self or no pay (OR 1.1, 95% CI 1.0-1.2) compared to private insurance], Hospital location [West (OR 1.6, 95% CI 1.2-2.1) compared to North-East ] were significantly associated with high DNR utilization rates after adjusting for patient level, hospital level characteristics, APR DRG severity scale and other clinical characteristics. Conclusions: In conclusion, demographic (female gender/ethnicity), social (insurance status) and regional (hospital location) are significantly associated with increased DNR utilization. The reasons for this are likely multifactorial, qualitative, linked to both patient and provider practices and need to be explored in more detail.

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