This pilot study examines the use of surgical instrument tracking and motion analysis in objectively measuring surgical performance. Accuracy of objective measures in distinguishing between surgeons of different levels was compared to that of subjective assessments. Twenty-four intraoperative video clips of mastoidectomies performed by junior residents (n = 12), senior residents (n = 8), and faculty (n = 4) were sent to otolaryngology programs via survey, yielding 708 subjective ratings of surgical experience level. Tracking software captured the total distance traveled by the drill, suction irrigator, and patient’s head. Measurements were used to predict surgeon level of training, and accuracy was estimated via area under the curve (AUC) of receiver operating characteristic curves. Key objective metrics proved more accurate than subjective evaluations in determining both faculty vs resident level and senior vs junior resident level. The findings of this study suggest that objective analysis using computer software has the potential to improve the accuracy of surgical skill assessment.
Background The purpose of this study was to identify preoperative risk factors in patients undergoing reduction mammoplasty as well as identify any increased complication risk in patients older than 60 years undergoing reduction mammoplasty. Methods The American College of Surgeons National Surgical Quality Improvement Program data from years 2013–2015 was reviewed. Patients were identified using Current Procedural Terminology code 19318 specific for reduction mammoplasty. Only patients undergoing bilateral procedures were included, and no reconstructive procedures were included. Patient demographics, comorbidities, and 30-day complications were analyzed. Comparative analysis was performed between patients younger than 60 years and patients 60 years and older, identifying risk factors associated with complications in the geriatric population. Results A total of 9110 patients undergoing reduction mammoplasty were identified. Of these 1442 (15.83%) were patients older than 60 years. Mean age of all patients was 42 years (range, 18–85 years). Eighty hundred fifty-nine patients were active smokers. Four hundred eighty-two patients were diabetic. Overall, 798 complications occurred with an incidence of 8.7%. Group 1 (<60 years) mean age was 39 years (range, 18–59). Group 2 (>60 years) mean age was 66 years (range, 60–85 years). The geriatric population showed a higher risk of cerebral vascular accidents (P < 0.00006), myocardial infarction (P < 0.02), and readmission (P < 0.03). Smoking was found to be a statistically significant risk factor for superficial surgical site infection, and deep space infection. Diabetes was found to be a statistically significant risk factor for readmission. Conclusions Reduction mammoplasty is a common surgical procedure. It is not uncommon for patients older than 60 years to undergo elective reduction mammoplasty (15.83% incidence), resulting in a cumulative complication rate of 11.65% in the geriatric population compared with 8.89% in the group of patients younger than 60 years. Smoking and diabetes were found to be independent risk factors for complications, regardless of age.
currently lack rigorous methods for assessing surgical skill and often rely on biased tools of evaluation.OBJECTIVES To evaluate which techniques used in mastoidectomy can serve as indicators of surgeon level (defined as the level of training) and whether these determinations of technique can be made based solely on the movement of the drill head or suction. DESIGN, SETTING, AND PARTICIPANTSIn this prospective, observational study conducted from January 1, 2015, to December 31, 2019, at a single tertiary care institution, 3 independent observers made blinded evaluations on 24 intraoperative recordings of surgeons (6 junior residents, 4 senior residents, and 2 attending surgeons) performing mastoidectomies. MAIN OUTCOMES AND MEASURESObservers assessed drill stroke count, drilling efficiency, stroke pattern, use of suction and irrigation, and estimated surgeon level. Assessments were made on both original videos and animated videos that show only the path of the burr head or suction as dots against a white background. RESULTS Among the 24 recorded mastoidectomies performed by the 12 study surgeons, intraclass correlation was excellent for original video assessment of drill stroke count (0.98 [95% CI, 0.97-1.00]), use of suction (0.75 [95% CI, 0.52-0.89]), use of irrigation (0.83 [95% CI, 0.66-0.92]), and estimated surgeon level (0.82 [95% CI, 0.64-0.92]) and fair for drilling efficiency (0.54 [95% CI, 0.09-0.79]) and stroke pattern (0.49 [95% CI, −0.02 to 0.76]). Intraclass correlation was excellent for animated video assessment of drill stroke count per unit time (0.98 [95% CI, 0.96-0.99]) and drilling efficiency (0.80 [95% CI, 0.60-0.91]), good for stroke pattern (0.68 [95% CI,) and estimated surgeon level (based on path of drill) (0.69 [95% CI, 0.38-0.85]), and fair for use of suction (0.58 [95% CI, 0.16-0.80]) and estimated surgeon level (based on path of suction) (0.58 [95% CI, 0.17-0.80]). On evaluation of original videos, junior residents had lower drill stroke count compared with senior residents and attending surgeons (6.0 [interquartile range (IQR), 3.
Objective: To characterize the relation between protein-calorie malnutrition (PCM) and hearing loss (HL) in children. Study Design: Retrospective review. Setting: Tertiary referral hospital. Patients: Children in the Audiological and Genetic Database with a diagnosis of protein-calorie malnutrition, marasmus, and/or kwashiorkor. Interventions: None. Main Outcome Measures: Prevalence, type, severity (4-tone pure-tone average, PTA), and progression of HL. Results: Of 770 children with PCM, 57.8% had HL, compared to 45.5% of children without PCM (p < 0.001). Severely malnourished children had significantly higher odds of moderate-profound HL (aOR 2.27, 95% CI 1.47–3.43), high-frequency HL (aOR 1.82, 95% CI 1.21–2.75), and sensorineural or mixed HL (aOR 1.60, 95% CI 1.05–2.41) compared to children without PCM. Severely malnourished children had significantly worse initial (35.0 dB vs 25.0 dB, p < 0.001), and final median PTA (31.3 dB vs 20.0 dB, p < 0.001) compared to children without PCM. Additionally, HL in children who were moderately and severely malnourished was significantly less likely to improve (aOR 0.47, 95% CI 0.25–0.82 and aOR 0.4, 95% CI 0.2–0.9) when compared to those without PCM. Conclusions: Given the greater prevalence and severity of hearing loss, children with PCM should be considered an at-risk group for poor audiological outcomes, and clinical practice should focus on early treatment and intervention for malnourished children. Routine audiological evaluation should be considered in this population.
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