RESUMEN
BACKGROUND: Patients presenting for gynecologic surgery are a heterogeneous group. Preoperative quality of life may be a useful tool to guide postoperative management. OBJECTIVE: This study aimed to examine the key drivers of preoperative quality of life to improve counseling and postoperative management. STUDY DESIGN: This study analyzed preoperative survey results from 154 participants using the following surveys: National Institutes of Health Toolbox Global Health v1.2, Gastrointestinal: Gas and Bloating v1.1 13a, Gastrointestinal: Diarrhea v1.0 6a, and Sexual Function and Satisfaction Brief Profile (Female) v2.0, Perceived Stress Scale, the Vaginal Assessment Scale, and the Vulvar Assessment Scale. Survey results in the form of T-scores were compared in patients with endometrial cancer and patients with benign gynecologic conditions using the Kruskal-Wallis test. The multivariate analysis was performed using linear regression to adjust the comparisons for age, body mass index, and comorbidity. RESULTS: Of the 154 patients, preoperative diagnosis was benign in 66% (n=102) and endometrial cancer in 34% (n=52). Patients with endometrial cancer were more likely to be older, non-White, in lower income brackets, have higher body mass index, and be postmenopausal (P<.05). Although preoperative global health scores were similar between benign and malignant cases (P>.05), when adjusted for age, the differences in global health quality of life between patients with benign gynecologic conditions and those with endometrial cancer became significant, because the endometrial cancer group was older than the benign group (P<.05). However, when adjusting for age, body mass index, and comorbidities (hypertension and diabetes), the differences were no longer significant (P>.05). Sexual interest was decreased in the patients with endometrial cancer both in the unadjusted and adjusted model; and vulvar complaints became significantly different between the groups when controlling for body mass index, age, and comorbidities (P<.05). CONCLUSION: Despite substantial differences in preoperative diagnosis, preoperative quality of life is highly influenced by age, body mass index, and comorbidities. Therefore, these factors should be explored in surgical outcomes and postoperative management trials.
RESUMEN
OBJECTIVE: To measure resting metabolic rate (RMR) in survivors of chronic (>3 months prior) stroke (mean ± SEM age, 61±7.5 years) and to compare to predicted RMR using predictive equations in adults without stroke. DESIGN: Cross-sectional study. SETTING: Hospital. PARTICIPANTS: Survivors of stroke (N=71). INTERVENTION: Not applicable. MAIN OUTCOME MEASURES: RMR was measured by indirect calorimetry. Participants underwent a total body dual-energy x-ray absorptiometry scan and treadmill test for peak oxygen consumption (VÌo2peak). RMR was calculated using 9 established equations. RESULTS: RMR measured (1552±319 kcal/d) was significantly lower than 9 predicted RMR values (all P<.001), with the best being McArdle-Katch (1652±233 kcal/d), Livingston (1677±230 kcal/d), and Mifflin (1707±242 kcal/d). The Institute of Medicine of the National Academies (2437±386 kcal/d) had the largest discrepancy with measured RMR. Predicted RMR determined with 8 of 9 equations was between 9% and 18% greater than measured RMR. Appendicular lean mass (r=0.64, P<.001), total lean mass (r=0.64, P<.001), and VÌo2peak (r=0.41, P<.001) were associated with measured RMR. CONCLUSIONS: RMR predictive equations established in adults without stroke are not appropriate for the population with stroke population, indicating the need to measure RMR until a more accurate predictive equation is developed. This could support modifications to nutritional intake guidelines in patients with conditions of muscle atrophy. If measurement of RMR is not feasible, the Katch-McArdle equation should be used to estimate RMR in a patient with stroke because on average it provides the lowest percentage overestimate compared with other equations.