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Adverse Outcomes and Prediction of Cardiopulmonary Complications in Elective Spine Surgery.

ABSTRACT: Study Design:Retrospective cohort study. Objectives:The purpose of this study was to report incidence of cardiopulmonary complications in elective spine surgery, demographic and surgical predictors, and outcomes. Understanding the risks and predictors of these sentinel events is important for risk evaluation, allocation of hospital resources, and counseling patients. Methods:A retrospective review of the National Surgical Quality Improvement Program (NSQIP) was performed on 60?964 patients undergoing elective spine surgery (any region; laminectomy, arthrodesis, discectomy, or laminoplasty) between 2011 and 2013. Incidence of myocardial infarction, cardiac arrest, unplanned reintubation, on ventilator >48 hours, perioperative pneumonia, and pulmonary embolism was measured. Demographic and surgical predictors of cardiopulmonary complications and associated outcomes (length of stay, discharge disposition, and mortality) were measured using binary logistic regression controlling for confounders. Results:Incidence rates per 1000 elective spine patients were 2.1 myocardial infarctions, 1.3 cardiac arrests, 4.3 unplanned intubations, 3.5 on ventilator >48 hours, 6.1 perioperative pneumonia, and 3.7 pulmonary embolisms. In analysis of procedure, diagnosis, and approach risk factors, thoracic cavity (odds ratio = 2.47; confidence interval = 1.95-3.12), scoliosis diagnosis, and combined approach (odds ratio = 1.51; confidence interval = 1.15-1.96) independently added the most risk for cardiopulmonary complication. Cardiac arrest had the highest mortality rate (34.57%). Being on ventilator greater than 48 hours resulted in the greatest increase to length of stay (17.58 days). Conclusions:Expected risk factors seen in the Revised Cardiac Risk Index were applicable in the context of spine surgery. Surgical planning should take into account patients who are at higher risk for cardiopulmonary complications and the implications they have on patient outcome.

SUBMITTER: Passias PG

PROVIDER: S-EPMC5958483 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature

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Adverse Outcomes and Prediction of Cardiopulmonary Complications in Elective Spine Surgery.

Passias Peter G PG Poorman Gregory W GW Delsole Edward E Zhou Peter L PL Horn Samantha R SR Jalai Cyrus M CM Vira Shaleen S Diebo Bassel B Lafage Virginie V

Global spine journal 20171024 3

<h4>Study design</h4>Retrospective cohort study.<h4>Objectives</h4>The purpose of this study was to report incidence of cardiopulmonary complications in elective spine surgery, demographic and surgical predictors, and outcomes. Understanding the risks and predictors of these sentinel events is important for risk evaluation, allocation of hospital resources, and counseling patients.<h4>Methods</h4>A retrospective review of the National Surgical Quality Improvement Program (NSQIP) was performed on ...[more]

PMID: 29796368

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Project description:To validate that the symptomless Multi-Variable Apnea Prediction index (sMVAP) is associated with Obstructive Sleep Apnea (OSA) diagnosis and assess the relationship between sMVAP and adverse outcomes in patients having elective surgery. We also compare associations between Bariatric surgery, where preoperative screening for OSA risk is mandatory, and non-Bariatric surgery groups who are not screened routinely for OSA. Using data from 40 432 elective inpatient surgeries, we used logistic regression to determine the relationship between sMVAP and previous OSA, current hypertension, and postoperative complications: extended length of stay (ELOS), intensive-care-unit-stay (ICU-stay), and respiratory complications (pulmonary embolism, acute respiratory distress syndrome, and/or aspiration pneumonia). Higher sMVAP was associated with increased likelihood of previous OSA, hypertension and all postoperative complications (p < .0001). The top sMVAP quintile had increased odds of postoperative complications compared to the bottom quintile. For ELOS, ICU-stay, and respiratory complications, respective odds ratios (95% CI) were: 1.83 (1.62, 2.07), 1.44 (1.32, 1.58), and 1.85 (1.37, 2.49). Compared against age-, gender- and BMI-matched patients having Bariatric surgery, sMVAP was more strongly associated with postoperative complications in non-Bariatric surgical groups, including: (1) ELOS (Orthopedics [p < .0001], Gastrointestinal [p = .024], Neurosurgery [p = .016], Spine [p = .016]); (2) ICU-stay (Orthopedics [p = .0004], Gastrointestinal [p < .0001], and Otorhinolaryngology [p = .0102]); and (3) respiratory complications (Orthopedics [p =.037] and Otorhinolaryngology [p =.011]). OSA risk measured by sMVAP correlates with higher risk for select postoperative complications. Associations are stronger for non-Bariatric surgeries, where preoperative screening for OSA is not routinely performed. Thus, preoperative screening may reduce OSA-related risk for adverse postoperative outcomes.

Project description:INTRODUCTION:Cardiopulmonary exercise testing (CPET) is widely used within the United Kingdom for preoperative risk stratification. Despite this, CPET's performance in predicting adverse events has not been systematically evaluated within the framework of classifier performance. METHODS:After prospective registration on PROSPERO (CRD42018095508) we systematically identified studies where CPET was used to aid in the prognostication of mortality, cardiorespiratory complications, and unplanned intensive care unit (ICU) admission in individuals undergoing non-cardiopulmonary surgery. For all included studies we extracted or calculated measures of predictive performance whilst identifying and critiquing predictive models encompassing CPET derived variables. RESULTS:We identified 36 studies for qualitative review, from 27 of which measures of classifier performance could be calculated. We found studies to be highly heterogeneous in methodology and quality with high potential for bias and confounding. We found seven studies that presented risk prediction models for outcomes of interest. Of these, only four studies outlined a clear process of model development; assessment of discrimination and calibration were performed in only two and only one study undertook internal validation. No scores were externally validated. Systematically identified and calculated measures of test performance for CPET demonstrated mixed performance. Data was most complete for anaerobic threshold (AT) based predictions: calculated sensitivities ranged from 20-100% when used for predicting risk of mortality with high negative predictive values (96-100%). In contrast, positive predictive value (PPV) was poor (2.9-42.1%). PPV appeared to be generally higher for cardiorespiratory complications, with similar sensitivities. Similar patterns were seen for the association of Peak VO2 (sensitivity 85.7-100%, PPV 2.7-5.9%) and VE/VCO2 (Sensitivity 27.8%-100%, PPV 3.4-7.1%) with mortality. CONCLUSIONS:In general CPET's 'rule-out' capability appears better than its ability to 'rule-in' complications. Poor PPV may reflect the frequency of complications in studied populations. Our calculated estimates of classifier performance suggest the need for a balanced interpretation of the pros and cons of CPET guided pre-operative risk stratification.

Project description:Study designRetrospective database analysis.ObjectiveTo assess the effect glycemic control has on perioperative morbidity and mortality in patients undergoing elective degenerative lumbar spine surgery.Summary of background dataDiabetes mellitus (DM) is a prevalent disease of glucose dysregulation that has been demonstrated to increase morbidity and mortality after spine surgery. However, there is limited understanding of whether glycemic control influences surgical outcomes in patients with DM undergoing lumbar spine procedures for degenerative conditions.MethodsThe Nationwide Inpatient Sample was analyzed from 2002 to 2011. Hospitalizations were isolated on the basis of International Classification of Diseases, Ninth Revision, Clinical Modification, procedural codes for lumbar spine surgery and diagnoses codes for degenerative conditions of the lumbar spine. Patients were then classified into 3 cohorts: controlled diabetic, uncontrolled diabetic, and nondiabetic. Patient demographic data, acute complications, and hospitalization outcomes were determined for each cohort.ResultsA total of 403,629 (15.7%) controlled diabetic patients and 19,421 (0.75%) uncontrolled diabetic patients underwent degenerative lumbar spine surgery from 2002 to 2011. Relative to nondiabetic patients, uncontrolled diabetic patients had significantly increased odds of cardiac complications, deep venous thrombosis, and postoperative shock; in addition, uncontrolled diabetic patients also had an increased mean length of stay (approximately, 2.5 d), greater costs (1.3-fold), and a greater risk of inpatient mortality (odds ratio=2.6, 95% confidence interval=1.5-4.8, P<0.0009). Controlled diabetic patients also had increased risk of acute complications and inpatient mortality when compared with nondiabetic patients, but not nearly to the same magnitude as uncontrolled diabetic patients.ConclusionSuboptimal glycemic control in diabetic patients undergoing degenerative lumbar spine surgery leads to increased risk of acute complications and poor outcomes. Patients with uncontrolled DM, or poor glucose control, may benefit from improving glycemic control prior to surgery.Level of evidence3.

Project description:BackgroundIncreasing evidence demonstrates disparities among patients with differing insurance statuses in the field of spine surgery. However, no pooled analyses have performed a robust review characterizing differences in postoperative outcomes among patients with varying insurance types.MethodsA comprehensive literature search of the PUBMED, MEDLINE(R), ERIC, and EMBASE was performed for studies comparing postoperative outcomes in patients with private insurance versus government insurance. Pooled incidence rates and odds ratios were calculated for each outcome and meta-analyses were conducted for 3 perioperative events and 2 types of complications. In addition to pooled analysis, sub-analyses were performed for each outcome in specific government payer statuses.ResultsThirty-eight studies (5,018,165 total patients) were included. Compared with patients with private insurance, patients with government insurance experienced greater risk of 90-day re-admission (OR 1.84, p<.0001), non-routine discharge (OR 4.40, p<.0001), extended LOS (OR 1.82, p<.0001), any postoperative complication (OR 1.61, p<.0001), and any medical complication (OR 1.93, p<.0001). These differences persisted across outcomes in sub-analyses comparing Medicare or Medicaid to private insurance. Similarly, across all examined outcomes, Medicare patients had a higher risk of experiencing an adverse event compared with non-Medicare patients. Compared with Medicaid patients, Medicare patients were only more likely to experience non-routine discharge (OR 2.68, p=.0007).ConclusionsPatients with government insurance experience greater likelihood of morbidity across several perioperative outcomes. Additionally, Medicare patients fare worse than non-Medicare patients across outcomes, potentially due to age-based discrimination. Based on these results, it is clear that directed measures should be taken to ensure that underinsured patients receive equal access to resources and quality care.

Project description:BackgroundThere is limited data available on the use of orthoses across varying elective spine surgeries. When previously studied in 2009, inconsistent lumbar postoperative bracing practices were reported. The present study aimed to provide a ten-year update regarding postoperative bracing practices after elective lumbar surgery among United States (U.S.) spine surgeons.MethodsA questionnaire was distributed to attendees of the Lumbar Spine Research Society Annual Meeting (April 2019). The questionnaire collected demographic information, and asked surgeons to identify if they used orthoses postoperatively after ten elective lumbar surgeries. Information regarding type of brace, duration of use, and reason for bracing was also collected. Chi-square tests and one-way analysis of variance (ANOVA) were used for comparisons.ResultsSeventy-three of 88 U.S. attending surgeons completed the questionnaire (response rate: 83%). The majority of respondents were orthopaedic surgery-trained (78%), fellowship-trained (84%), and academic surgeons (73%). The majority of respondents (60%) did not use orthoses after any lumbar surgery. Among the surgeons who braced, the overall bracing frequency was 26%. This rate was significantly lower than that reported in the literature ten years earlier (p<0.0001). Respondents tended to use orthoses most often after stand-alone lateral interbody fusions (43%) (p<0.0001). The average bracing frequency after lumbar fusions (34%) was higher than the average bracing frequency after non-fusion surgeries (16%) (p<0.0001). The most frequently utilized brace was an off the shelf lumbar sacral orthosis (66%), and most surgeons braced patients to improve pain (42%). Of surgeons who braced, most commonly did so for 2-4 months (57%).ConclusionMost surgeon respondents did not prescribe orthoses after varying elective lumbar surgeries, and the frequency overall was lower than a similar study conducted in 2009. There continues to be inconsistencies in postoperative bracing practices. In an era striving for evidence-based practices, this is an area needing more attention.

Project description:BackgroundPrediction calculators can help set outcomes expectations following orthopaedic surgery, however effective implementation strategies for these tools are unknown. This study evaluated provider and patient perspectives on clinical implementation of web-based prediction calculators developed using national prospective spine surgery registry data from the Quality Outcomes Database.MethodsWe conducted semi-structured interviews in two health systems, Vanderbilt University Medical Center (VUMC) and Duke University Health System (DUHS) of orthopedic and neurosurgery health care providers (VUMC: n = 19; DUHS: n = 6), health care administrators (VUMC: n = 9; DUHS: n = 9), and patients undergoing elective spine surgery (VUMC: n = 16). Qualitative template analysis was used to analyze interview data, with a focus on end-user perspectives regarding clinical implementation of web-based prediction tools.ResultsHealth care providers, administrators and patients overwhelmingly supported the use of the calculators to help set realistic expectations for surgical outcomes. Some clinicians had questions about the validity and applicability of the calculators in their patient population. A consensus was that the calculators needed seamless integration into clinical workflows, but there was little agreement on best methods for selecting which patients to complete the calculators, timing, and mode of completion. Many interviewees expressed concerns that calculator results could influence payers, or expose risk of liability. Few patients expressed concerns over additional survey burden if they understood that the information would directly inform their care.ConclusionsInterviewees had a largely positive opinion of the calculators, believing they could aid in discussions about expectations for pain and functional recovery after spine surgery. No single implementation strategy is likely to be successful, and strategies vary, even within the same healthcare system. Patients should be well-informed of how responses will be used to deliver better care, and concerns over how the calculators could impact payment and liability should be addressed prior to use. Future research is necessary to determine whether use of calculators improves management and outcomes for people seeking a surgical consult for spine pain.

Dataset Information

Adverse Outcomes and Prediction of Cardiopulmonary Complications in Elective Spine Surgery.

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Adverse Outcomes and Prediction of Cardiopulmonary Complications in Elective Spine Surgery.

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