key: cord-0006693-bbjtwwq0 authors: Kumar, Monisha A.; Chanderraj, Rishi; Gant, Ryan; Butler, Christi; Frangos, Suzanne; Maloney-Wilensky, Eileen; Faerber, Jennifer; Andrew Kofke, W.; Levine, Joshua M.; LeRoux, Peter title: Obesity is Associated with Reduced Brain Tissue Oxygen Tension After Severe Brain Injury date: 2011-07-12 journal: Neurocrit Care DOI: 10.1007/s12028-011-9576-x sha: a93aae9a7b1add4db17ea73d61a28bb4c7f5d33c doc_id: 6693 cord_uid: bbjtwwq0 BACKGROUND: Obesity has been associated with compromised tissue oxygenation and reduced organ perfusion. The brain is critically dependent on oxygen delivery, and reduced brain tissue oxygen tension (P(bt)O(2)) may result in poor outcome after brain injury. We tested the hypothesis that obesity is associated with compromised P(bt)O(2) after severe brain injury. METHODS: Patients with severe brain injury (GCS score ≤ 8) who underwent continuous P(bt)O(2) monitoring were retrospectively identified from a prospective single-center database. Patients, were classified by body mass index (BMI = weight (kg)/m(2)) and were included if they were obese (BMI ≥ 30) or non-obese (BMI = <30). RESULTS: Sixty-nine patients (mean age 46.4 ± 17.0 years) were included. Mean daily P(bt)O(2) was 25.8 (9.6) mmHg for the 28 obese and 31.8 (12.3) mmHg for the 41 non-obese patients (P = 0.03). Initial P(bt)O(2) and mean daily maximum P(bt)O(2) measurements also were significantly lower in obese patients than in non-obese patients. Univariate predictors of compromised P(bt)O(2) (defined as minutes P(bt)O(2) < 20 mmHg) included elevated BMI (P = 0.02), presence of ARDS (P < 0.01), mean PaO(2) (P < 0.01), maximum FiO(2) (P < 0.01), mean PaO(2):FiO(2) (P < 0.01), and mean CVP (P < 0.01). In multivariable analysis, BMI was significantly associated with compromised P(bt)O(2) (P = 0.02). Sex, age, and mean CVP were also identified as significant predictors of compromised P(bt)O(2); ARDS and PF ratio were not. CONCLUSIONS: In patients with severe brain injury, obesity was found to be an independent predictor of compromised P(bt)O(2). This effect may be mediated through obesity-related pulmonary dysfunction and inadequate compensatory mechanisms. Prevention of secondary neuronal injury is central to modern ICU care of acute brain injury. Brain tissue oxygen (P bt O 2 ) monitors, placed directly into brain parenchyma, permit continuous bedside P bt O 2 assessment and for quantification of hypoxic events in the brain. When used with an intracranial pressure (ICP) monitor P bt O 2 monitors have enhanced the ability to detect secondary neuronal injury after severe brain injury. Observational clinical studies demonstrate a consistent association between reduced P bt O 2 and poor outcome [1] [2] [3] . In addition clinical studies suggest that P bt O 2 goal-directed therapy may be associated with improved outcomes among patients with traumatic brain injury (TBI) and subarachnoid hemorrhage (SAH) [4] [5] [6] . Brain oxygen tension (P bt O 2 ) depends on numerous factors, one of which is pulmonary function [7, 8] . Obesity is linked to a wide variety of pulmonary diseases, including chronic obstructive pulmonary disease (COPD), asthma, obstructive sleep apnea (OSA), pulmonary embolic disease, and aspiration pneumonia; however, its impact on brain oxygenation remains unknown [9] . In the intensive care unit, obesity also is associated with lung dysfunction [10] [11] [12] , ventilation-perfusion mismatch [13] , metabolic derangements [9] , and altered systemic oxygenation [14] [15] [16] . Obese trauma patients have been shown to have lower transcutaneous tissue oxygenation, reduced peripheral oxygen saturation and increased organ failure [17, 18] . Obesity is a known risk factor for cardiovascular and cerebrovascular disease. In SAH, hypertension, diabetes mellitus, hyperlipidemia, and ischemic stroke, all of which are associated with obesity, are associated with poor outcome [19] . Elevated body mass index (BMI) has been associated with the development of delayed cerebral ischemia (DCI) after SAH [20] . In this preliminary study, we examined whether obesity, defined by body mass index (BMI), is associated with reduced P bt O 2 after severe acute brain injury. Patients admitted to the Neurointensive Care Unit at the Hospital of the University of Pennsylvania were retrospectively identified from a prospective observational database (Brain Oxygen Monitoring Outcome study) with Institutional Review Board approval. The patients were selected using the following inclusion criteria: (1) diagnosis of severe brain injury with a Glasgow Coma Scale (GCS) B 8 after initial resuscitation, (2) P bt O 2 monitoring within 6 h of admission, (3) hemodynamic stability (i.e., did not require vasopressor agents during their ICU care), (4) need for mechanical ventilation, and (5) recorded height and weight data. Exclusion criteria included: (1) fixed and dilated pupils upon admission, (2) multiple or abdominal compartment syndrome, or (3) lack of recorded height and weight. Acute Physiology and Chronic Health Evaluation (APACHE II) [32] score was recorded on admission. Patients were classified as obese or non-obese according to their BMI calculated from actual measurements of their height and weight [(BMI = mass (kg)/ surface area (m 2 )] performed on admission. Obesity was defined as a BMI C 30 [33, 34] . Intracranial pressure (ICP; Camino; Integra Neuroscience, Plainsboro, NJ), brain temperature, and P bt O 2 were continuously monitored using a Licox monitor (Integra Neuroscience) inserted at the bedside through a burr hole into the frontal lobe and secured with a triple-lumen bolt. Intracranial monitors were placed into brain parenchyma that appeared normal on admission head CT scan and ipsilateral to the worst pathology. After CT confirmation, P bt O 2 probe function was confirmed by an oxygen challenge (a rise in P bt O 2 of C2-5 mmHg at an FiO 2 of 1.0 for 5 min). Intracranial monitors were removed once ICP and P bt O 2 were within normal range without treatment for 24 h. Cerebral perfusion pressure (CPP) was calculated as mean arterial pressure [(MAP) -ICP]. Heart rate, arterial blood pressure, and central venous pressure (CVP) were recorded continuously in all patients using a bedside monitor (Component Monitoring System M1046-9090C: Hewlett Packard, Andover, MA). ICU flow sheets were reviewed for documentation of ICP, CPP, P bt O 2 , CVP, percent FiO 2 , and 24-h fluid balance. Daily mean, minimum, and maximum measurements of both arterial partial pressure of oxygen (PaO 2 ) and fraction of inspired oxygen (FiO 2 ) were recorded. Mean daily PaO 2 / FiO 2 (PF ratios) were determined by averaging the PaO 2 from all arterial blood gas samples performed that day and dividing them by the mean FiO 2 obtained for respiratory flow sheets. Acute respiratory distress syndrome (ARDS) was defined as a PF ratio <200, bilateral lung infiltrates by radiography and a central venous pressure <18 mmHg. Acute lung injury (ALI) was defined as a PF ratio <300. Data on ventilator status and settings were not collected. Information on hemoglobin (Hb), serum sodium (Na), creatinine, glucose, blood urea nitrogen (BUN), arterial pH, PaO 2 , hospital length of stay, and whether a craniotomy was performed were obtained from online hospital patient records. Outcome was recorded as survival (dead or alive) at 30 days after brain injury. General critical care and ICP management were performed as previously described [8] . Compromised brain oxygen (P bt O 2 < 20 mmHg) was managed according to etiology. For example, elevated ICP was treated and systemic hypoxia was corrected if present. Abnormalities of metabolic supply (e.g., volume status or mean arterial pressure) or metabolic demand (e.g., pain, fever, seizures) were corrected. If these measures failed and the hemoglobin concentration was less than 10 g/dl, blood transfusion therapy was considered to augment oxygen delivery. Patients were divided into two groups: obese (BMI C 30) or non-obese (BMI < 30). To allow for intracranial probe equilibration, data from the first 6 h after P bt O 2 monitor insertion were discarded. Following this 6-h window, initial P bt O 2 , mean daily P bt O 2 , minimum daily Neurocrit Care (2012) 16:286-293 287 P bt O 2 , maximum daily P bt O 2 were recorded. In addition, time (in minutes) of P bt O 2 < 20 mmHg (brain tissue compromise) and P bt O 2 < 10 mmHg (brain tissue hypoxia) were tabulated. Since episodes of reduced P bt O 2 were recorded as single measurements in time on the ICU flow sheet and not continuous data, the event was assumed to occur for the total time until the next recorded value on the flow sheet (usually 15 min) or a time of 60 min, whichever was less. The mean daily P bt O 2 was defined as the average of each patient's P bt O 2 measurements over 24 h. The total number of minutes that P bt O 2 was compromised (P bt O 2 < 20 mmHg) or that there was brain hypoxia (P bt O 2 < 10 mmHg) was then normalized to the percent of total time monitored to adjust for patients who died early or who were monitored longer. Statistical analysis was performed using SPSS 17 software (SPSS, Chicago, IL), with data summarized as the mean (standard deviation) unless otherwise stated. A P value < 0.05 was considered statistically significant and was twosided unless otherwise specified. Kolmogorov-Smirnov and Shapiro-Wilk tests were employed to assess goodness of fit to determine normality. Univariate analysis of pooled data was performed using the Student t test and Wilcoxon Rank Sum (Mann-Whitney test) for continuous parametric and nonparametric variables, respectively, and the Chi-square test (or Fisher exact test) for categorical variables. Multivariable analyses using linear regression to identify predictors of compromised P bt O 2 included all variables associated with compromised P bt O 2 in univariate analysis (P < 0.1). Nonnormally distributed continuous variables were log transformed. Two hundred and seventeen patients were screened for this study; 69 had measured height and weights. Of these patients, 21 were categorized as obese and 48 as non-obese. Thirty-five patients were admitted with TBI and 22 with aneurismal SAH. The remaining 12 patients were admitted with penetrating head trauma, arteriovenous malformation, brain tumor, or non-traumatic SDH. The clinical and radiographic characteristics of the patients included in the analysis are described in Table 1 . Obese patients were significantly older than non-obese patients [51.6 (14.6) years compared to 42.8 (17.7); P = 0.03], and had a higher incidence of pre-injury diabetes mellitus (P = 0.01). Non-obese patients were more likely to have an admission diagnosis of trauma (P = 0.04). Admission diagnosis varied by sex; men were more likely to be admitted with trauma and women were more likely to be admitted with SAH (P = 0.04). Obese patients tended toward longer periods of mechanical ventilation (P = 0.06) and a higher incidence of pneumonia (P = 0.08). There was no significant difference in the incidence of ARDS, chest trauma or tracheostomy placement between groups. Thirty-day mortality was similar between groups. All patients underwent continuous ICP and P bt O 2 monitoring with a mean duration of 127.7 (87.8) h. The physiological variables recorded during a patient's course are listed in Table 2 . Mean hemoglobin concentration was significantly higher in the obese group than in the non-obese group. There were no significant differences in the remainder of physiological and clinical variables between groups. Obese patients had lower initial, mean and minimum P bt O 2 values than non-obese patients (Table 3 ; Fig. 1 ), although there was no significant difference in mean PaO 2 or mean FiO 2 between the two groups. Obese patients experienced a longer cumulative duration of compromised P bt O 2 (P = 0.02). Acute respiratory distress syndrome significantly predicted compromised P bt O 2 (P = 0.004), while the incidence of chest trauma did not (P = 0.08). Other univariate predictors of compromised P bt O 2 included mean daily PaO 2 , mean PF ratio, and mean, minimum and maximum daily FiO 2 . Mean, maximum, or minimum ICP was not associated with compromised P bt O 2 values; CPP also was not associated with lower P bt O 2 values. Mean CVP, maximum BUN, and arterial pH demonstrated an association with reduced P bt O 2 values. Obesity is an Independent Factor Associated with Compromised P bt O 2 In multivariable analysis, BMI remained a significant predictor of compromised P bt O 2 (P = 0.02). This effect persisted when controlling for the effects of univariate predictors (Table 4) . Age also was an independent factor associated with compromised P bt O 2 ; its predictive strength was similar to the effect of BMI. A greater mean CVP also was associated with compromised P bt O 2 . Obesity is a worldwide epidemic and its deleterious effects on cardiovascular health are well established. However, its effects on respiratory dysfunction and brain injury are less well studied. In this retrospective study of 69 patients with severe brain injury, we examined the relationship between obesity (defined by a BMI C 30) and brain oxygenation. We hypothesized that obesity would compromise P bt O 2 , possibly through exacerbation of underlying pulmonary dysfunction. We found that initial P bt O 2 , mean daily P bt O 2 , and mean daily maximum P bt O 2 measurements were significantly lower in obese patients than in non-obese patients. We observed a longer cumulative duration of compromised P bt O 2 in obese patients. We demonstrated that obesity was associated with compromised P bt O 2 independent of the effects of ICP, CPP, and PF ratio. Our findings suggest that obesity may be a risk factor for compromised P bt O 2 after severe brain injury. The precise reason(s) why P bt O 2 was lower in the obese patients in our cohort remains unclear. There are many factors that may influence compromised P bt O 2 but one possible mechanism is altered pulmonary function [7, 8] . Obesity affects control of the respiratory cycle, impairs respiratory muscle function, hampers gas exchange, and increases the risk of aspiration [21] . Airways resistance, metabolic demands, and work of breathing also are increased in obese patients; this may induce rapid shallow breathing, which exacerbates ventilation-perfusion mismatch [22, 23] . The intrapleural pressure at the lung base can exceed atmospheric pressure in the airway, causing bronchioles at the lung base to collapse [15, 24] . This further contributes to ventilation-perfusion mismatch [14, 25] . Obese patients in our study required prolonged mechanical ventilation and experienced a higher incidence of pneumonia. The association between obesity and lower respiratory tract infections is known [26] . Obesity has been identified as an independent risk factor of mortality among patients with H1N1 influenza virus [27] . The culprit mechanism may include obesity-related derangements of leptin and adiponectin, which have been linked to impaired immunity and response to infections [28] . Obesity-related systemic inflammation may contribute to compromised P bt O 2 . Obesity is an inflammatory state that may aggravate the post-traumatic inflammatory response [29] among the patients with TBI or exacerbate delayed cerebral ischemia in SAH patients [30, 31] . Adipocytes are biologically active and have been shown to secrete tumor necrosis factor alpha, transforming growth factor beta, and interferon gamma; these cytokines have been associated with poor outcome in both TBI and SAH [32] [33] [34] . Other factors that may explain the effect of obesity on compromised P bt O 2 include inadequate compensatory mechanisms, difficulty with vascular access, and compromised drug delivery [35] . In our cohort, elevated central venous pressure was significantly associated with compromised P bt O 2 . Elevated central venous pressures may result from either an increase in central venous volume, or decreased venous compliance. This may reflect decreased systemic oxygenation due to heart failure, although we did not collect echocardiographic data. An alternate explanation is that elevated CVP max maximum, min minimum, P bt O 2 partial pressure of brain tissue oxygen, PaO 2 partial pressure of arterial oxygen, FiO 2 fraction of inspired oxygen may reflect increased PEEP. This may be associated with obesity as obese patients may require more PEEP to maintain alveoli recruitment. It is less likely that increased PEEP is related to acute lung injury since ARDS was not a significant predictor of compromised P bt O 2 in multivariable analysis. There is little study on the effects of obesity on neurosurgical patients. While there is an association between obesity and complications after spine surgery [36, 37] ; one recent study suggests that obesity may not influence outcome among patients who undergo craniotomy [38] . We did not observe a relationship between P bt O 2 and elevated ICP or increased risk of ARDS and in multivariable analysis in this study. We had hypothesized that obesity would affect ICP by altered intracranial compliance and/or decreased venous return, and so compromise P bt O 2 . Consistent with this hypothesis, induced abdominal compartment syndrome is associated with an increase in central venous pressure, internal jugular pressure, and thoracic transmural pressure that together contribute to increased ICP. Future studies measuring cerebral blood flow, cerebrovascular resistance, and autoregulation may shed light on the effect of obesity on intracranial compliance. Our study has several potential limitations. First, the data were examined retrospectively and this may bias our results. However, the data were collected prospectively and our patients were treated according to a standard practice guideline that may limit potential bias. Second, the study was performed on patients with several different forms of acute brain injury. This may obscure the effects of obesity in different types of brain injury. For example, risk factors for DCI, such as arterial vasospasm, were not accounted for in our analysis. However, we lacked sufficient power to analyze the effect of DCI in the subset of brain-injured patients with SAH. Third, our sample size was limited since not every patient admitted to our ICU had both measured height and weight assessments. This may introduce a selection bias although demographic characteristics did not differ between the study cohort and excluded patients. Recorded estimates of height and weight were available for some patients; however, we chose not to use this data since it is known that estimates by health care providers often are inaccurate. This issue is common to many studies in this field where inadequate documentation of height and weight measurements compromises sample size [39] [40] [41] . Fourth, we defined obesity using BMI. While this is a valid method to define obesity, percent body fat (% BF) or abdominal girth may be more sensitive markers of patient risk than BMI [42] . Finally, the study is not a pure observational study since patients received therapeutic interventions to correct a reduced P bt O 2 or an increased ICP. It is possible that interventions themselves may have obscured the effect obesity had on P bt O 2 . The findings of the current study suggest that obesity is associated with reduced P bt O 2 in severely brain-injured patients. 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Possible role of the C-reactive protein and white blood cell count in the pathogenesis of cerebral vasospasm following aneurysmal subarachnoid hemorrhage Obesity and traumatic brain injury Obesity in critical care Complications in spine surgery The influence of perioperative risk factors and therapeutic interventions on infection rates after spine surgery: a systematic review. Spine (Phila Pa 1976) Fat and neurosurgery: does obesity affect outcome after intracranial surgery? Obesity and increased mortality in blunt trauma The cushion effect Demetriades D. The impact of obesity on the outcomes of 1,153 critically injured blunt trauma patients Percent body fat and prediction of surgical site infection Acknowledgments We acknowledge the valuable contributions of the nurses in the Neurosurgical Intensive Care Unit at the Hospital of the University of Pennsylvania in caring for our patients as well as their help in data acquisition. This study is supported by Research Grants from Integra Neurosciences (PDLR) and the Mary Elisabeth Groff Surgical and Medical Research Trust (PDLR). PDL is a member of Integra Lifesciences's Speaker's Bureau.