Genomics testing and personalized medicine in the preoperative setting: Can it change outcomes in postoperative pain management?

Postoperative pain and opioid use are major challenges in perioperative medicine. Pain perception and its response to opioid use are multi-faceted and include pharmacological, psychological, and genetic components. Precision medicine is a unique approach to individualized health care in which decisions in management are based on genetics, lifestyle, and environment of each person. Genetic variations can have an impact on the perception of pain and response to treatment. This can have an effect on pain management in both acute and chronic settings. Although there is currently not enough evidence for making recommendations about genetic testing to guide pain management in the acute care setting, there are some known polymorphisms that play a role in surgical pain and opioid-related postoperative adverse outcomes. In this review, we describe the potential use of pharmacogenomics (PGx) for improving perioperative pain management. We first review a number of genotypes that have shown correlations with pain and opioid use and then describe the importance of PGx-guided analgesic protocols and implementation of screening in a preoperative evaluation clinical setting.

Optimizing Preoperative Anemia to Improve Patient Outcomes.

Anemia is a decrease in red blood cell mass, which hinders oxygen delivery to tissues. Preoperative anemia has been shown to be associated with mortality and morbidity following major surgery. The preoperative care clinic is an ideal place to start screening for anemia and discussing potential interventions in order to optimize patients for surgery. This article (1) reviews the relevant literature and highlights consequences of preoperative anemia in the surgical setting, and (2) suggests strategies for screening and optimizing anemia in the preoperative setting.

Dependent functional status is associated with unplanned postoperative intubation after elective cervical spine surgery: a national registry analysis.

PURPOSE: The impact of preoperative functional status on 30-day unplanned postoperative intubation and clinical outcomes among patients who underwent cervical spine surgery is not well-described. We hypothesized that functional dependence is associated with 30-day unplanned postoperative intubation and that among the reintubated cohort, functional dependence is associated with adverse postoperative clinical outcomes after cervical spine surgery. METHODS: Utilizing the 2007-2016 American College of Surgeons National Surgical Quality Improvement Program database, we identified adult elective anterior and posterior cervical spine surgery patients by Current Procedural Terminology codes. We performed (1) a Cox Proportional Hazard analysis for the following outcomes: reintubation, prolonged ventilator use, and pneumonia and (2) an adjusted logistic regression analysis among patients that required postoperative reintubation to evaluate the association of functional status with adverse postoperative outcomes. RESULTS: The sample size was 26,263, of which 550 (2.1%) were functionally dependent. The adjusted model suggested that when compared with functionally independent patients, dependent patients were at increased risk of unplanned 30-day intubation (HR 2.05, 95% CI 1.26-3.34; P = 0.003). The adjusted risk of 30-day postoperative pneumonia was significantly higher in patients with functional dependence (HR 1.61, 95% CI 1.02-2.54, P = 0.036). Among patients that required postoperative reintubation, the odds of 30-day mortality was significantly higher in patients with functional dependence (OR 5.82, 95% CI 1.59-23.4, P < 0.001). CONCLUSION: Preoperative functional dependence is a good marker for estimating postoperative unplanned intubation following cervical spine surgery.

Perioperative Risk Factors Associated With Postoperative Unplanned Intubation After Lung Resection.

OBJECTIVE: Postoperative respiratory failure requiring reintubation is associated with a significant increase in mortality. However, perioperative risk factors and their effects on unplanned 30-day reintubation and postoperative outcomes after unplanned reintubation following lung resection are not described well. The aim of this study was to determine whether certain comorbidities, demographic factors, and postoperative outcomes are associated with 30-day reintubation after thoracic surgery. DESIGN: This was a retrospective observational study using multivariable logistic regression to identify preoperative risk factors and consequences of unplanned 30-day reintubation. SETTING: Multi-institutional, prospective, surgical outcome-oriented database study. PARTICIPANTS: Using the American College of Surgeons National Surgical Quality Improvement Program database, video-assisted thorascopic surgery and thoracotomy lung resections (lobectomy, wedge resection, segmentectomy, bilobectomy, pneumonectomy) were analyzed by Common Procedural Terminology codes from the years 2007 to 2016 in 16,696 patients undergoing thoracic surgery. INTERVENTION: None. MEASUREMENT AND MAIN RESULTS: The final analysis included 16,696 patients, of who 593 (3.5%) underwent unplanned reintubation. Among the final study population, 137 (23%) of unplanned intubations occurred within 24 hours postoperatively and the median (25%, 75% quartile) day of reintubation was day 3 (2, 8 days). The final multivariable logistic regression analysis suggested that age, American Society of Anesthesiologists physical status classification score ≥4, dyspnea with moderate exertion and at rest, history of chronic obstructive pulmonary disease, male sex, smoking, functional dependence, steroid use, open thoracotomies, increased operation time, and preoperative laboratory results (albumin and hematocrit) were associated with unplanned intubation after lung resection (p < 0.05). Unplanned intubation was associated significantly with 30-day mortality, reoperation, postoperative blood transfusion, and increased hospital length of stay (p < 0.05). CONCLUSIONS: Nonmodifiable and modifiable preoperative risk factors were associated with increased odds of unplanned reintubation. Patients who experienced unplanned intubation were at considerable risk for 30-day mortality, reoperation, postoperative blood transfusion, and increased hospital length of stay.

Time of day is not associated with increased rates of mortality in emergency surgery: An analysis of 49,196 surgical procedures.

STUDY OBJECTIVE: There is a lack of large, multi-institutional studies analyzing the association of timing of emergency surgery with death occurring either intraoperatively or in the recovery room setting. The primary objective of this study was to determine if time of day for emergency surgeries was associated with mortality. DESIGN: Retrospective analysis. SETTING: U.S. healthcare facilities. PATIENTS: Adult patients undergoing emergency surgery and general anesthesia. INTERVENTIONS: No intervention. MEASUREMENTS: Utilizing the National Anesthesia Clinical Outcomes Registry database, all emergency non-cardiac, non-obstetric surgeries undergoing general anesthesia occurring between 2010 and 2015 in the United States were identified. We performed mixed effects logistic regression to determine the effect of time of day with mortality occurring during the intraoperative and immediate postoperative period. MAIN RESULTS: There were 46,196 cases that were eligible for this analysis, in which 24,247 and 21,949 occurred during day and after-hours shifts, respectively. The overall morality rate was 0.28%. Mortality rates were 0.17% and 0.41% in the day and after-hour shifts, respectively. There was no statistically significant association of time of day with mortality (odds ratio 1.31, 95% CI 0.90-1.92, p = 0.16). American Society of Anesthesiologists physical status classification, age, and operative body part were all associated with mortality. CONCLUSIONS: Although, theoretically, health care providers working after-hour shifts may be impacted by sleep deprivation and/or limited resources, we found that time of day was not associated with increased risk of mortality during the intraoperative and immediate postoperative period in emergency surgery.

Postoperative mortality and morbidity following non-cardiac surgery in a healthy patient population.

PURPOSE: Perioperative mortality ranges from 0.4% to as high as nearly 12%. Currently, there are no large-scale studies looking specifically at the healthy surgical population alone. The primary objective of this study was to report 30-day mortality and morbidity in healthy patients and define any risk factors. METHODS: Using the American College of Surgeons National Surgical Quality Improvement Program (NSQIP) dataset, all patients assigned an American Society of Anesthesiologists physical status (ASA PS) classification score of 1 or 2 were included. Further patients were excluded if they had a comorbidity or underwent a procedure not likely to classify them as ASA PS 1 or 2. Multivariable logistic regression was performed to identify predictors of the outcomes, in which odds ratios (OR) and 95% confidence intervals (95% CI) were reported. RESULTS: There were 687,552 healthy patients included in the final analysis. Following surgery, 0.7, 7.0, and 0.7 per 1000 persons experienced 30-day mortality, sepsis, and stroke or myocardial infarction, respectively. Healthy patients greater than 80 years of age had the highest odds for mortality (OR 17.7, 95% CI 12.4-25.1, p < 0.001). Case duration was associated with increased mortality, especially in cases greater than or equal to 6 h (OR 3.0, 95% CI 2.0-4.5, p < 0.001). CONCLUSIONS: Thirty-day mortality and morbidity is, as expected, lower in the healthy surgical population. Age may be an indication to further risk stratify patients that are ASA PS 1 or 2 to better reflect perioperative risk.