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Outcome prediction in intracranial tumor surgery: the National Surgical Quality Improvement Program 2005-2010.

ABSTRACT: Accurate knowledge of individualized risks is crucial for decision-making in the surgical management of patients with brain tumors. Precise delineation of those risks remains a topic of debate. We attempted to create a predictive model of outcomes in patients undergoing craniotomies for tumor resection (CTR). We performed a retrospective cohort study involving patients who underwent CTR from 2005 to 2010 and were registered in the American College of Surgeons National Quality Improvement Project database. A model for outcome prediction based on individual patient characteristics was developed. Of the 1,834 patients, 457 had meningiomas (24.9 %) and 1377 had non-meningioma tumors (75.1 %). The respective 30-day postoperative risks were 2.1 % for stroke, 1.3 % for MI, 2.7 % for death, 2.4 % for deep surgical site infection, and 6.6 % for return to the OR. Multivariate analysis demonstrated that pre-operative tumor-related neurologic deficit, stroke, altered mental status, and weight loss, were independently associated with most outcomes, including post-operative MI, death, and deep surgical site infection. An additive effect of the variables on the risk of all outcomes was observed. A validated model for outcome prediction based on individual patient characteristics was developed. The accuracy of the model was estimated by the area under the receiver operating characteristic curve, which was 0.687, 0.929, 0.749, 0.746, and 0.679 for postoperative risk of stroke, MI, death, infection, and return to the OR, respectively. Our model can provide individualized estimates of the risks of post-operative complications based on pre-operative conditions, and can potentially be utilized as an adjunct in the decision-making for surgical intervention in brain tumor patients.

SUBMITTER: Bekelis K

PROVIDER: S-EPMC5617728 | biostudies-literature | 2013 May

REPOSITORIES: biostudies-literature

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Outcome prediction in intracranial tumor surgery: the National Surgical Quality Improvement Program 2005-2010.

Bekelis Kimon K Bakhoum Samuel F SF Desai Atman A Mackenzie Todd A TA Roberts David W DW

Journal of neuro-oncology 20130224 1

Accurate knowledge of individualized risks is crucial for decision-making in the surgical management of patients with brain tumors. Precise delineation of those risks remains a topic of debate. We attempted to create a predictive model of outcomes in patients undergoing craniotomies for tumor resection (CTR). We performed a retrospective cohort study involving patients who underwent CTR from 2005 to 2010 and were registered in the American College of Surgeons National Quality Improvement Project ...[more]

PMID: 23436132

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Project description:BACKGROUND:Patients managed nonoperatively have been excluded from risk-adjusted benchmarking programs, including the American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP). Consequently, optimal performance evaluation is not possible for specialties like emergency general surgery (EGS) where nonoperative management is common. We developed a multi-institutional EGS clinical data registry within ACS NSQIP that includes patients managed nonoperatively to evaluate variability in nonoperative care across hospitals and identify gaps in performance assessment that occur when only operative cases are considered. METHODS:Using ACS NSQIP infrastructure and methodology, surgical consultations for acute appendicitis, acute cholecystitis, and small bowel obstruction (SBO) were sampled at 13 hospitals that volunteered to participate in the EGS clinical data registry. Standard NSQIP variables and 16 EGS-specific variables were abstracted with 30-day follow-up. To determine the influence of complications in nonoperative patients, rates of adverse outcomes were identified, and hospitals were ranked by performance with and then without including nonoperative cases. RESULTS:Two thousand ninety-one patients with EGS diagnoses were included, 46.6% with appendicitis, 24.3% with cholecystitis, and 29.1% with SBO. The overall rate of nonoperative management was 27.4%, 6.6% for appendicitis, 16.5% for cholecystitis, and 69.9% for SBO. Despite comprising only 27.4% of patients in the EGS pilot, nonoperative management accounted for 67.7% of deaths, 34.3% of serious morbidities, and 41.8% of hospital readmissions. After adjusting for patient characteristics and hospital diagnosis mix, addition of nonoperative management to hospital performance assessment resulted in 12 of 13 hospitals changing performance rank, with four hospitals changing by three or more positions. CONCLUSION:This study identifies a gap in performance evaluation when nonoperative patients are excluded from surgical quality assessment and demonstrates the feasibility of incorporating nonoperative care into existing surgical quality initiatives. Broadening the scope of hospital performance assessment to include nonoperative management creates an opportunity to improve the care of all surgical patients, not just those who have an operation. LEVEL OF EVIDENCE:Care management, level IV; Epidemiologic, level III.

Project description:BACKGROUND:There is significant morbidity after diverting ileostomy closure, so identifying predictors of complications could be of great benefit. The aim of our study was to evaluate the incidence and risk factors for postoperative morbidity after elective ileostomy closure. METHODS:The ACS-NSQIP dataset was evaluated for elective ileostomy closures from 1/1/2015 to 12/31/2016. Demographic characteristics, operative, and postoperative outcomes were evaluated. The primary outcome was 30-day major morbidity (Clavien class III and greater). Secondary outcomes were rates and predictors of major morbidity, superficial site infection (SSI), reoperation, and readmission from multivariate logistic regression modeling. RESULTS:We retrospectively evaluated 1885 patients. The median operative time was 65 (IQR 50-90) minutes and median length of stay was 3 (IQR 2-5) days. Major morbidity was recorded in 6.7%, including mortality (1.0%), deep/organ space SSI (2.6%), dehiscence (0.8%), reintubation (0.5%), sepsis (1.7%), septic shock (0.8%), and reoperation (3.7%). Readmission was recorded in 9.7% and 6.2% had SSI. Multivariate logistic regression showed male sex (OR 1.584; 95% CI 1.068-2.347; p?=?0.022) and longer operative time (OR 1.004; 95% CI 1.001-1.007; p?=?0.009) were among those variables associated with increased odds of major morbidity. Dyspnea (OR 2.431; 95% CI 1.139-5.094; p?=?0.021) and longer operative time (OR 1.003; 95% CI 1.001-1.007; p?=?0.034) were among the independent risk factors for SSI. Male sex (OR 2.246; 95% CI 1.297-3.892; p?=?0.004, chronic obstructive pulmonary disease (OR 2.959; 95% CI 1.153-7.591; p?=?0.024), and longer operative time (OR 1.005; 95% CI 1.001-1.009; p?=?0.011) were associated with increased odds of reoperation. Chronic obstructive pulmonary disease (OR 2.578; 95% CI 1.338-4.968; p?=?0.005), wound infection (OR 2.680; 95% CI 1.043-6.890; p?=?0.041), and inflammatory bowel disease (OR 2.565; 95% CI 1.203-5.463; p?=?0.015) were associated with increased odds of readmission. CONCLUSIONS:Elective stoma closure has significant risk of morbidity. Patients with longer operative times were at increased risk for major morbidity, overall SSI, and reoperation. From the analysis, factors specifically associated with major morbidity, overall infectious complications, readmissions, and reoperations were identified. This information can be used to prospectively prepare for these high-risk patients, potentially improving postoperative outcomes.

Project description:Background and purposePublished data regarding embolic protection device efficacy is mixed, and its use during carotid artery stent placement remains variable. We, therefore, examined the frequency of embolic protection device use and its association with outcomes after carotid artery stent placement using a national quality improvement data base.Materials and methodsPatients undergoing carotid artery stent placement with or without embolic protection devices were identified in the American College of Surgeons National Surgical Quality Improvement Program data base. The primary outcome was the incidence of major adverse cardiovascular events (defined as death, stroke, or myocardial infarction/arrhythmia) within 30 days. Propensity scoring was used to create 2 matching cohorts of patients using demographic and baseline variables.ResultsBetween 2011 and 2018, among 1200 adult patients undergoing carotid artery stent placement, 23.8% did not have embolic protection devices. There was no trend toward increased embolic protection device use with time. Patients without embolic protection device use received preoperative antiplatelets less frequently (90.6% versus 94.6%, P = .02), underwent more emergent carotid artery stent placement (7.2% versus 3.6%, P = .01), and had a higher incidence of major adverse cardiovascular events (OR = 1.81; 95% CI, 1.11-2.94) and stroke (OR = 3.31; 95% CI, 1.71-6.39). After compensating for baseline imbalances using propensity-matched cohorts (n = 261 for both), carotid artery stent placement without an embolic protection device remained associated with increased major adverse cardiovascular events (9.2% versus 4.2%; OR = 2.30; 95% CI, 1.10-4.80) and stroke (6.5% versus 1.5%; OR = 4.48; 95% CI, 1.49-13.49).ConclusionsLack of embolic protection device use during carotid artery stent placement is associated with a 4-fold increase in the likelihood of perioperative stroke. Nevertheless, nearly one-quarter of patients in the American College of Surgeons National Surgical Quality Improvement Program underwent unprotected carotid artery stent placement. Efforts targeting improved embolic protection device use during carotid artery stent placement are warranted.

Dataset Information

Outcome prediction in intracranial tumor surgery: the National Surgical Quality Improvement Program 2005-2010.

Publications

Outcome prediction in intracranial tumor surgery: the National Surgical Quality Improvement Program 2005-2010.

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