Risks associated with preoperative anemia and perioperative blood transfusion in open surgery for intracranial aneurysms

Seicean, Andreea; Alan, Nima; Seicean, Sinziana; Neuhauser, Duncan; Selman, Warren R.; Bambakidis, Nicholas C.

doi:10.3171/2014.10.jns14551

Cited by 33 publications

(16 citation statements)

References 37 publications

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“…To evaluate for consistency with the NIS, data were extracted from the prospective NSQIP registry (2007-2013), which has been previously used to analyze patients with SAH. 2,46 The NSQIP was exempted from individual review by our IRB. Patients were included who were 1) 18…”

Section: Additional Data Sourcementioning

confidence: 99%

Cigarette smoking and outcomes after aneurysmal subarachnoid hemorrhage: a nationwide analysis

Dasenbrock¹,

Rudy²,

Lai³

et al. 2017

Journal of Neurosurgery

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OBJECTIVE Although cigarette smoking is one of the strongest risk factors for cerebral aneurysm development and rupture, there are limited data evaluating the impact of smoking on outcomes after aneurysmal subarachnoid hemorrhage (SAH). Additionally, two recent studies suggested that nicotine replacement therapy was associated with improved neurological outcomes among smokers who had sustained an SAH compared with smokers who did not receive nicotine. METHODS Patients who underwent endovascular or microsurgical repair of a ruptured cerebral aneurysm were extracted from the Nationwide Inpatient Sample (NIS, 2009-2011) and stratified by cigarette smoking. Multivariable logistic regression analyzed in-hospital mortality, complications, tracheostomy or gastrostomy placement, and discharge to institutional care (a nursing or an extended care facility). Additionally, the composite NIS-SAH outcome measure (based on mortality, tracheostomy or gastrostomy, and discharge disposition) was evaluated, which has been shown to have excellent agreement with a modified Rankin Scale score greater than 3. Covariates included in regression constructs were patient age, sex, race/ethnicity, insurance status, socioeconomic status, comorbidities (including hypertension, drug and alcohol abuse), the NIS-SAH severity scale (previously validated against the Hunt and Hess grade), treatment modality used for aneurysm repair, and hospital characteristics. A sensitivity analysis was performed matching smokers to nonsmokers on age, sex, number of comorbidities, and NIS-SAH severity scale score. RESULTS Among the 5784 admissions evaluated, 37.1% (n = 2148) had a diagnosis of tobacco use, of which 31.1% (n = 1800) were current and 6.0% (n = 348) prior tobacco users. Smokers were significantly younger (mean age 51.4 vs 56.2 years) and had more comorbidities compared with nonsmokers (p < 0.001). There were no significant differences in mortality, total complications, or neurological complications by smoking status. However, compared with nonsmokers, smokers had significantly decreased adjusted odds of tracheostomy or gastrostomy placement (11.9% vs 22.7%, odds ratio [OR] 0.63, 95% confidence interval [CI] 0.51-0.78, p < 0.001), discharge to institutional care (OR 0.71, 95% CI 0.57-0.89, p = 0.002), and a poor outcome (OR 0.65, 95% CI 0.55-0.77, p < 0.001). Similar statistical associations were noted in the matched-pairs sensitivity analysis and in a subgroup of poor-grade patients (the upper quartile of the NIS-SAH severity scale). CONCLUSIONS In this nationwide study, smokers experienced SAH at a younger age and had a greater number of comorbidities compared with nonsmokers, highlighting the negative ramifications of cigarette smoking among patients with cerebral aneurysms. However, smoking was also associated with paradoxical superior outcomes on some measures, and future research to confirm and further understand the basis of this relationship is needed.

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Section: Additional Data Sourcementioning

confidence: 99%

Cigarette smoking and outcomes after aneurysmal subarachnoid hemorrhage: a nationwide analysis

Dasenbrock¹,

Rudy²,

Lai³

et al. 2017

Journal of Neurosurgery

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“…56 This data source has been previously used to evaluate patients undergoing neurosurgical intervention, 7,9,11,13,24,28,33,[47][48][49]52,53 including craniotomy for tumor. [1][2][3]10,14,29,54 The NSQIP database has been exempted as not human subject research by our institutional review board.…”

Section: Data Sourcementioning

confidence: 99%

Length of hospital stay after craniotomy for tumor: a National Surgical Quality Improvement Program analysis

Dasenbrock

Liu

Devine

et al. 2015

FOC

146

103

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OBJECT Although the length of hospital stay is often used as a measure of quality of care, data evaluating the predictors of extended hospital stay after craniotomy for tumor are limited. The goals of this study were to use multivariate regression to examine which preoperative characteristics and postoperative complications predict a prolonged hospital stay and to assess the impact of length of stay on unplanned hospital readmission. METHODS Data were extracted from the National Surgical Quality Improvement Program (NSQIP) database from 2007 to 2013. Patients who underwent craniotomy for resection of a brain tumor were included. Stratification was based on length of hospital stay, which was dichotomized by the upper quartile of the interquartile range (IQR) for the entire population. Covariates included patient age, sex, race, tumor histology, comorbidities, American Society of Anesthesiologists (ASA) class, functional status, preoperative laboratory values, preoperative neurological deficits, operative time, and postoperative complications. Multivariate logistic regression with forward prediction was used to evaluate independent predictors of extended hospitalization. Thereafter, hierarchical multivariate logistic regression assessed the impact of length of stay on unplanned readmission. RESULTS The study included 11,510 patients. The median hospital stay was 4 days (IQR 3-8 days), and 27.7% (n = 3185) had a hospital stay of at least 8 days. Independent predictors of extended hospital stay included age greater than 70 years (OR 1.53, 95% CI 1.28%-1.83%, p < 0.001); African American (OR 1.75, 95% CI 1.44%-2.14%, p < 0.001) and Hispanic (OR 1.68, 95% CI 1.36%-2.08%) race or ethnicity; ASA class 3 (OR 1.52, 95% CI 1.34%-1.73%) or 4-5 (OR 2.18, 95% CI 1.82%-2.62%) designation; partially (OR 1.94, 95% CI 1.61%-2.35%) or totally dependent (OR 3.30, 95% CI 1.95%-5.55%) functional status; insulin-dependent diabetes mellitus (OR 1.46, 95% CI 1.16%-1.84%); hematological comorbidities (OR 1.68, 95% CI 1.25%-2.24%); and preoperative hypoalbuminemia (OR 1.78, 95% CI 1.51%-2.09%, all p ≤ 0.009). Several postoperative complications were additional independent predictors of prolonged hospitalization including pulmonary emboli (OR 13.75, 95% CI 4.73%-39.99%), pneumonia (OR 5.40, 95% CI 2.89%-10.07%), and urinary tract infections (OR 11.87, 95% CI 7.09%-19.87%, all p < 0.001). The C-statistic of the model based on preoperative characteristics was 0.79, which increased to 0.83 after the addition of postoperative complications. A length of stay after craniotomy for tumor score was created based on preoperative factors significant in regression models, with a moderate correlation with length of stay (p = 0.43, p < 0.001). Extended hospital stay was not associated with differential odds of an unplanned hospital readmission (OR 0.97, 95% CI 0.89%-1.06%, p = 0.55). CONCLUSIONS In this NSQIP analysis that evaluated patients who underwent craniotomy for tumor, much of the variance in hospital stay was attributable to baseline patient characteristics, suggesting length of stay may be an imperfect proxy for quality. Additionally, longer hospitalizations were not found to be associated with differential rates of unplanned readmission.

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“…38 In patients undergoing open neurosurgical intervention for intracranial aneurysm, perioperative blood transfusion was shown to be an independent risk factor for major morbid complications. 39 Unfortunately, the optimal trigger for Hb transfusion in neurosurgical populations remains elusive and the relative risks and benefits of anaemia and transfusion must be weighed ( Fig. 1).…”

mentioning

confidence: 99%

Anaemia and red blood cell transfusion in intracranial neurosurgery: a comprehensive review

Kisilevsky

Gelb

Bustillo

et al. 2018

British Journal of Anaesthesia

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Both anaemia and blood transfusion are associated with poor outcomes in the neurosurgical population. Based on the available literature, the optimal haemoglobin concentration for neurologically injured patients appears to be in the range of 9.0-10.0 g dl, although the individual risks and benefits should be weighed. Several perioperative blood conservation strategies have been used successfully in neurosurgery, including correction of anaemia and coagulopathy, use of antifibrinolytics, and intraoperative cell salvage. Avoidance of non-steroidal anti-inflammatory drugs and starch-containing solutions is recommended given the potential for platelet dysfunction.

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Risks associated with preoperative anemia and perioperative blood transfusion in open surgery for intracranial aneurysms

Abstract: Preoperative anemia and transfusion are each independent risk factors for perioperative complications in patients undergoing surgery for cerebral aneurysms. Perioperative anemia is also associated with prolonged hospital LOS and 30-day return to the operating room.

Cited by 33 publications

References 37 publications

Cigarette smoking and outcomes after aneurysmal subarachnoid hemorrhage: a nationwide analysis

Cigarette smoking and outcomes after aneurysmal subarachnoid hemorrhage: a nationwide analysis

Length of hospital stay after craniotomy for tumor: a National Surgical Quality Improvement Program analysis

Anaemia and red blood cell transfusion in intracranial neurosurgery: a comprehensive review

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