Feeling like an imposter: are surgeons holding themselves back?

Imposter syndrome is a psychological phenomenon where people doubt their achievements and have a persistent internalized fear of being exposed as a fraud, even when there is little evidence to support these thought processes. It typically occurs among high performers who are unable to internalize and accept their success. This phenomenon is not recognized as an official mental health diagnosis in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition; however, mental health professionals recognize it as a form of intellectual self-doubt. It has been reported that imposter syndrome is predominant in the high-stakes and evaluative culture of medicine, where healthcare workers are frequently agonized by feelings of worthlessness and incompetence. Imposter syndrome can lead to a variety of negative effects. These can include difficulty concentrating, decreased confidence, burnout, anxiety, stress, depression, and feelings of inadequacy. This article will discuss the prevalence of imposter syndrome among surgeons, its associated contributing factors, the effects it can have, and potential strategies for managing it. The recommended strategies to address imposter syndrome are based on the authors' opinions.

Identification of Seniors at Risk Scoring in Geriatric Trauma: Exploring Clinical Outcome Correlations.

Introduction: Geriatric trauma patients (GTP) make up an increasing percentage of the overall trauma population. Due to frailty, GTP are at an increased risk of morbidity and readmission. Therefore, it is becoming increasingly important to prognosticate outcomes to assist with resource utilization. We hypothesized that the "Identification of Seniors at Risk" (ISAR) score may correlate with both clinical outcomes and resource utilization for geriatric trauma patients. Methods: Patients older than 65 years who were admitted to the trauma service were screened using an ISAR scoring algorithm. Outcomes, including 30-day mortality, all-cause morbidity, hospital length of stay (LOS), intensive care unit (ICU) LOS, functional independence measures (FIM) at discharge, and percent discharged to a facility, were analyzed. Both descriptive and data-appropriate parametric and non-parametric statistical approaches were utilized, with significance set at α = 0.05. Results: One thousand and two hundred seventeen GTP were included in this study. The average age was 81, median injury severity score was 9, and 99% had a blunt trauma mechanism. ISAR scores were generally associated with increasing 30-day mortality (0%, 1.9%, 2.4%, and 2.1% for ISAR 0, ISAR 1-2, ISAR 3-4, and ISAR 5-6, respectively), morbidity (2.6%, 7.6%, 14.7%, and 7.3% for respective categories), longer hospital (3.1, 4.6, 5.1, and 4.3 days, respectively) and ICU stays (0.37, 0.64, 0.81, and 0.67, respectively), lower FIM score at discharge (18.5, 17.1, 15.8, and 14.4, for respective categories), as well as increasing percentage of patients discharged to a facility (29.8%, 58.9%, 72.1%, and 78.8% for respective categories). Conclusions: This exploratory study provides important early insight into potential relationships between ISAR and geriatric trauma outcomes. ISAR screening is a quick and easy-to-use tool that may be useful in GTP triage, level-of-care determination, and disposition planning. Understanding populations at risk, especially those with more intricate discharge needs, is an important step in mitigating those risks and implementing appropriate care plans.

Do It to Them, Not to Me: Doctors' and Nurses' Personal Preferences Versus Recommendations for End-of-Life Care.

BACKGROUND: The emotional toll and financial cost of end-of-life care can be high. Existing literature suggests that medical providers often choose to forego many aggressive interventions and life-prolonging therapies for themselves. To further investigate this phenomenon, we compared how providers make medical decisions for themselves versus for relatives and unrelated patients. METHODS: Between 2016 and 2019, anonymous surveys were emailed to physicians (attendings, fellows, and residents), nurse practitioners, physician assistances, and nurses at two multifacility tertiary medical centers. Participants were asked to decide how likely they would offer a tracheostomy and feeding gastrostomy to a hypothetical patient with a devastating neurological injury and an uncertain prognosis. Participants were then asked to reconsider their decision if the patient was their own family member or if they themselves were the patient. The Kruskal-Wallis H, Mann-Whitney U, and Tukey tests were used to compare quantitative data. Statistical significance was set at P < 0.05. RESULTS: Seven hundred seventy-three surveys were completed with a 10% response rate at both institutions. Regardless of professional identity, age, or gender, providers were significantly more likely to recommend a tracheostomy and feeding gastrostomy to an unrelated patient than for themselves. Professional identity and age of the respondent did influence recommendations made to a family member. CONCLUSIONS: We demonstrate that medical practitioners make different end-of-life care decisions for themselves compared with others. It is worth investigating further why there is such a discrepancy between what medical providers choose for themselves compared with what they recommend for others.

Measured vs Predicted Energy Expenditure in Mechanically Ventilated Adults With Acute, Traumatic Spinal Cord Injuries.

BACKGROUND: Research regarding the impact of acute spinal cord injury (aSCI) on energy expenditure is limited. Patients with aSCI are prone to complications of both over- and under-feeding, making appropriate nutrition support pivotal to patient care. The purpose of this study was to describe energy expenditure and assess the performance of predictive equations in mechanically ventilated adults with aSCI. METHODS: Adult patients admitted to a single trauma center from March 2017 through June 2018 with aSCI and a documented indirect calorimetry (IC) within 6 weeks of injury were included for analysis. Predictive equations evaluated included Penn State 2003b (PS 2003b), the derived Weir equation, 25 kcal/kg and 30 kcal/kg. Sub-set analysis was performed for patients with and without obesity, isolated aSCI, and concomitant traumatic injuries. RESULTS: On hundres fifteen IC studies in 51 patients were included for analysis. Median energy expenditure was 1747 kcal/day (interquartile range [IQR], 1492-2099 kcal/day), or 22.7 kcal/kg (IQR, 19.3-25.9 kcal/kg). When stratified by hospital day, energy expenditure ranged from 20 to 25 kcal/kg. PS 2003b and the derived Weir equation had similar correlation coefficients (r = 0.81 and 0.82, respectively). The 25 and 30 kcal/kg performed unacceptably (r = 0.61). PS 2003b predicted within 10% of measured energy expenditure most frequently. All equations were biased towards overfeeding, except for PS 2003b in the obese subset. CONCLUSION: In the absence of IC, PS 2003b or the derived Weir equation may be acceptable predictive equations in this population. However, bedside clinicians should monitor carefully for signs and symptoms of overfeeding.

Is Opioid Prescribing Driving Trauma Recidivism or Is Trauma Driving Opioid Use?

In the past 30 years, opioid prescription rates have quadrupled and hospital admissions for overdose are rising. Previous studies have focused on alcohol use and trauma recidivism, however rarely evaluating recidivism and opioid use. We hypothesized there is an association between opioid use and trauma recidivism. This is a retrospective review of patients with multiple admissions for traumatic injury. Demographics, opioid toxicology screen (TS) results, and injury characteristics were collected. Statistical analysis was performed with chi-squared and Poisson regression models. One thousand six hundred forty-nine patients (age ≥18 years) had multiple trauma admissions. Seven hundred nine patients had TS data for both admissions. Thirty-one per cent (218) were TS positive on the 1st admission compared with 34 per cent (244) on their 2nd admission. Fifty-five per cent of patients who were TS positive on the 1st admission were positive on their 2nd admission, whereas 25 per cent who were TS negative on the 1st admission were subsequently positive on their 2nd admission (P < 0.0001). Patients who were TS positive on the subsequent admission were less severely injured than TS negative patients (Injury Severity Score > 15, 26.3% vs 22.3%, P = 0.04). The only significant risk factor for being TS positive on the 2nd admission was being TS positive on the 1st admission (relative risk = 2.18, P < 0.001). A previous history of opioid use is the strongest predictor of recurrent use in recidivists.

Validation of predictive equations to assess energy expenditure in acute spinal cord injury.

BACKGROUND: Acute spinal cord injury (SCI) is devastating with morbidities compounded by inadequate nutrition. The American Society for Parenteral and Enteral Nutrition recommends indirect calorimetry (IC) to evaluate energy needs in SCI because no predictive energy equations have been validated. We sought to determine the accuracy of predictive equations to predict measured energy expenditure (MEE). METHODS: A retrospective review was performed over 2 years. Patients 18 years or older with cervical SCI who received IC were included. Height, weight, maximum temperature and minute ventilation on day of IC, plus MEE and VCO2 from IC were obtained. Predicted energy expenditure (PEE) was calculated using Harris-Benedict (HB), Penn State (PS), Mifflin St. Jeor (MSJ), Weir, Ireton-Jones (IJ), and 25 kcal/kg formulas. MEE was then compared to the PEE of each method. RESULTS: Thirty-nine IC studies were completed for 20 patients. Weir had the strongest correlation to MEE (r = 0.98), followed by PS (r = 0.82). Correlations were similar among HB (r = 0.78), MSJ (r = 0.75), and IJ (r = 0.73), and weakest with 24 kcal/kg (r = 0.55). All had a p value <0.001. Deming regression confirmed strong correlations between Weir and PS to MEE, with coefficients of 1.03 and 1.515 (p < 0.001), respectively. Other formulas had comparatively higher coefficients and standard errors. Bland-Altman analysis confirmed Weir had the narrowest range of difference, with a mean difference of 25.5 kcal/day, followed by PS (-336.1 kcal/day). CONCLUSIONS: Weir is the best predictive energy equation, with all statistical tests demonstrating a strong correlation between MEE and Weir. The second best predictive equation is the Penn State formula, which predicts actual MEE measured by IC with high accuracy. LEVEL OF EVIDENCE: Diagnostic study, level III.