Emily M. Bucholz

A national study of attrition in general surgery training: which residents leave and where do they go?

Objective(s):Implementation of the 80-hour mandate was expected to reduce attrition from general surgery (GS) residency. This is the first quantitative report from a national prospective study of resident/program characteristics associated with attrition. Methods:Analysis included all categorical GS residents entered on American Board of Surgery residency rosters in 2007 to 2008. Cases of attrition were identified by program report, individually confirmed, and linked to demographic data from the National Study of Expectations and Attitudes of Residents in Surgery administered January 2008. Results:All surgical categorical GS residents active on the 2007–2008 resident rosters (N = 6,303) were analyzed for attrition. Complete National Study of Expectations and Attitudes of Residents in Surgery demographic information was available for 3959; the total and survey groups were similar with regard to important characteristics. About 3% of US categorical residents resigned in 2007 to 2008, and 0.4% had contracts terminated. Across all years (including research), there was a 19.5% cumulative risk of resignation. Attrition was highest in PGY-1 (5.9%), PGY-2 (4.3%), and research year(s) (3.9%). Women were no more likely to leave programs than men (2.1% vs. 1.9%). Of several program/resident variables examined, postgraduate year-level was the only independent predictor of attrition in multivariate analysis. Residents who left GS whose plans were known most often pursued nonsurgical residencies (62%), particularly anesthesiology (21%) and radiology (11%). Only 13% left for surgical specialties. Conclusions:Attrition rates are high despite mandated work hour reductions; 1 in 5 GS categorical residents resigns, and most pursue nonsurgical careers. Demographic factors, aside from postgraduate year do not appear predictive. Residents are at risk for attrition early in training and during research, and this could afford educators a target for intervention.

Sex Differences in Long-Term Mortality after Myocardial Infarction: A Systematic Review

Background— Studies of sex differences in long-term mortality after acute myocardial infarction have reported mixed results. A systematic review is needed to characterize what is known about sex differences in long-term outcomes and to define gaps in knowledge. Methods and Results— We searched the Medline database from 1966 to December 2012 to identify all studies that provided sex-based comparisons of mortality after acute myocardial infarction. Only studies with at least 5 years of follow-up were reviewed. Of the 1877 identified abstracts, 52 studies met the inclusion criteria, of which 39 were included in this review. Most studies included fewer than one-third women. There was significant heterogeneity across studies in patient populations, methodology, and risk adjustment, which produced substantial variability in risk estimates. In general, most studies reported higher unadjusted mortality for women compared with men at both 5 and 10 years after acute myocardial infarction; however, many of the differences in mortality became attenuated after adjustment for age. Multivariable models varied between studies; however, most reported a further reduction in sex differences after adjustment for covariates other than age. Few studies examined sex-by-age interactions; however, several studies reported interactions between sex and treatment whereby women have similar mortality risk as men after revascularization. Conclusions— Sex differences in long-term mortality after acute myocardial infarction are largely explained by differences in age, comorbidities, and treatment use between women and men. Future research should aim to clarify how these differences in risk factors and presentation contribute to the sex gap in mortality.

Sex Differences in Perceived Stress and Early Recovery in Young and Middle-Aged Patients With Acute Myocardial Infarction

Background— Younger age and female sex are both associated with greater mental stress in the general population, but limited data exist on the status of perceived stress in young and middle-aged patients presenting with acute myocardial infarction. Methods and Results— We examined sex difference in stress, contributing factors to this difference, and whether this difference helps explain sex-based disparities in 1-month recovery using data from 3572 patients with acute myocardial infarction (2397 women and 1175 men) 18 to 55 years of age. The average score of the 14-item Perceived Stress Scale at baseline was 23.4 for men and 27.0 for women (P<0.001). Higher stress in women was explained largely by sex differences in comorbidities, physical and mental health status, intrafamily conflict, caregiving demands, and financial hardship. After adjustment for demographic and clinical characteristics, women had worse recovery than men at 1 month after acute myocardial infarction, with mean differences in improvement score between women and men ranging from −0.04 for EuroQol utility index to −3.96 for angina-related quality of life (P<0.05 for all). Further adjustment for baseline stress reduced these sex-based differences in recovery to −0.03 to −3.63, which, however, remained statistically significant (P<0.05 for all). High stress at baseline was associated with significantly worse recovery in angina-specific and overall quality of life, as well as mental health status. The effect of baseline stress on recovery did not vary between men and women. Conclusions— Among young and middle-aged patients, higher stress at baseline is associated with worse recovery in multiple health outcomes after acute myocardial infarction. Women perceive greater psychological stress than men at baseline, which partially explains women’s worse recovery.

Effect of Low Perceived Social Support on Health Outcomes in Young Patients With Acute Myocardial Infarction: Results From the Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients (VIRGO) Study

Background Social support is an important predictor of health outcomes after acute myocardial infarction (AMI), but social support varies by sex and age. Differences in social support could account for sex differences in outcomes of young patients with AMI. Methods and Results Data from the Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients (VIRGO) study, an observational study of AMI patients aged ≤55 years in the United States and Spain, were used for this study. Patients were categorized as having low versus moderate/high perceived social support using the ENRICHD Social Support Inventory. Outcomes included health status (Short Form‐12 physical and mental component scores), depressive symptoms (Patient Health Questionnaire), and angina‐related quality of life (Seattle Angina Questionnaire) evaluated at baseline and 12 months. Among 3432 patients, 21.2% were classified as having low social support. Men and women had comparable levels of social support at baseline. On average, patients with low social support reported lower functional status and quality of life and more depressive symptoms at baseline and 12 months post‐AMI. After multivariable adjustment, including baseline health status, low social support was associated with lower mental functioning, lower quality of life, and more depressive symptoms at 12 months (all P<0.001). The relationship between low social support and worse physical functioning was nonsignificant after adjustment (P=0.6). No interactions were observed between social support, sex, or country. Conclusion Lower social support is associated with worse health status and more depressive symptoms 12 months after AMI in both young men and women. Sex did not modify the effect of social support.

Effect of living alone on patient outcomes after hospitalization for acute myocardial infarction.

Considerable attention has been devoted to the effect of social support on patient outcomes after acute myocardial infarction (AMI). However, little is known about the relation between patient living arrangements and outcomes. Thus, we used data from PREMIER, a registry of patients hospitalized with AMI at 19 United States centers from 2003 through 2004, to assess the association of living alone with outcomes after AMI. Outcome measurements included 4-year mortality, 1-year readmission, and 1-year health status using the Seattle Angina Questionnaire (SAQ) and the Short Form-12 Physical Health Component scales. Patients who lived alone had higher crude 4-year mortality (21.8% vs 14.5%, p <0.001) but comparable rates of 1-year readmission (41.6% vs 38.3%, p = 0.79). Living alone was associated with lower unadjusted quality of life (mean SAQ -2.40, 95% confidence interval [CI] -4.44 to -0.35, p = 0.02) but had no impact on Short Form-12 Physical Health Component (-0.45, 95% CI -1.65 to 0.76, p = 0.47) compared to patients who did not live alone. After multivariable adjustment, patients who lived alone had a comparable risk of mortality (hazard ratio 1.35, 95% CI 0.94 to 1.93) and readmission (hazard ratio 0.99, 95% CI 0.76 to 1.28) as patients who lived with others. Mean quality-of-life scores remained lower in patients who lived alone (SAQ -2.91, 95% CI -5.56 to -0.26, p = 0.03). In conclusion, living alone may be associated with poorer angina-related quality of life 1 year after MI but is not associated with mortality, readmission, or other health status measurements after adjusting for other patient and treatment characteristics.

Dietary intake in Head Start vs non-Head Start preschool-aged children: results from the 1999-2004 National Health and Nutrition Examination Survey.

OBJECTIVE To determine whether dietary intakes of children enrolled in Head Start programs differ from those of children not attending preschool or children in non-Head Start programs. DESIGN Using data from the 1999-2004 National Health and Nutrition Examination Survey, low-income, 3- to 5-year-old children were categorized into one of four preschool groups: Head Start (n=184), non-Head Start (n=189), past preschool (n=193), and no preschool (n=384). Total nutrient intakes were calculated using 24-hour parental recalls. STATISTICAL ANALYSES PERFORMED Mean macronutrient and micronutrient intakes were compared across groups and the percentage of children not meeting Recommended Dietary Allowances (RDAs) were calculated. Multivariate logistic regression was used to evaluate the relationship between preschool group and likelihood of not meeting dietary guidelines. RESULTS Many children did not meet the RDA for folate (20.5%), vitamin A (39.7%), vitamin E (79.7%), calcium (40.2%), iron (28.8%), and potassium (90.8%). Compared with the other preschool groups, Head Start children had lower mean protein, saturated fat, riboflavin, calcium, and phosphorous intakes. The greatest differences in intake were observed between Head Start participants and no-preschool children. Multivariate analyses demonstrated an association between Head Start and inadequate intake of protein, thiamin, riboflavin, niacin, calcium, and selenium. CONCLUSIONS Compared with other low-income children, those in Head Start programs appear to be at greater risk for not meeting the RDA for several key vitamins and minerals. These differences in diet quality may present an opportunity for Head Start programs to enhance nutrition in this student population.

Race, Socioeconomic Status, and Life Expectancy After Acute Myocardial Infarction

Background— Previous studies have been unable to disentangle the negative associations of black race and low socioeconomic status (SES) with long-term outcomes of patients after acute myocardial infarction (AMI). Such information could assist in efforts to address both racial and socioeconomic disparities. Methods and Results— We used data from the Cooperative Cardiovascular Project, a prospective cohort study of Medicare beneficiaries hospitalized with AMI with 17 years of follow-up, to evaluate the relationship between race, area-level SES (measured by zip code–level median household income), and life expectancy after AMI. Life expectancy was estimated by using Cox proportional hazards regression with extrapolation using exponential models. Of the 141 095 patients with AMI, 6.3% were black and 6.8% resided in low-SES areas; 26% of black patients lived in low-SES areas in comparison with 5.7% of white patients. Post–myocardial infarction life expectancy estimates were shorter for black patients than for white patients across all socioeconomic levels in patients ⩽75 years of age. After adjustment for patient and treatment characteristics, the association between race and life expectancy persisted but was attenuated. Younger black patients (<68 years) had shorter life expectancies than white patients, whereas older black patients had longer life expectancies. The largest white-black gap in life expectancy occurred in patients residing in high- and medium-SES areas (P=0.02 interaction). Conclusions— Black and white patients residing in low-SES areas have similar life expectancies after AMI, which are lower than those living in higher-SES areas. Racial disparities were most prominent among patients living in high-SES areas.

Sex differences in young patients with acute myocardial infarction: A VIRGO study analysis.

Aims: Young women with acute myocardial infarction (AMI) have a higher risk of adverse outcomes than men. However, it is unclear how young women with AMI are different from young men across a spectrum of characteristics. We sought to compare young women and men at the time of AMI on six domains of demographic and clinical factors in order to determine whether they have distinct profiles. Methods and results: Using data from Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients (VIRGO), a prospective cohort study of women and men aged ⩽55 years hospitalized for AMI (n = 3501) in the United States and Spain, we evaluated sex differences in demographics, healthcare access, cardiovascular risk and psychosocial factors, symptoms and pre-hospital delay, clinical presentation, and hospital management for AMI. The study sample included 2349 (67%) women and 1152 (33%) men with a mean age of 47 years. Young women with AMI had higher rates of cardiovascular risk factors and comorbidities than men, including diabetes, congestive heart failure, chronic obstructive pulmonary disease, renal failure, and morbid obesity. They also exhibited higher levels of depression and stress, poorer physical and mental health status, and lower quality of life at baseline. Women had more delays in presentation and presented with higher clinical risk scores on average than men; however, men presented with higher levels of cardiac biomarkers and more classic electrocardiogram findings. Women were less likely to undergo revascularization procedures during hospitalization, and women with ST segment elevation myocardial infarction were less likely to receive timely primary reperfusion. Conclusions: Young women with AMI represent a distinct, higher-risk population that is different from young men.

Analysis of Machine Learning Techniques for Heart Failure Readmissions

Background—The current ability to predict readmissions in patients with heart failure is modest at best. It is unclear whether machine learning techniques that address higher dimensional, nonlinear relationships among variables would enhance prediction. We sought to compare the effectiveness of several machine learning algorithms for predicting readmissions. Methods and Results—Using data from the Telemonitoring to Improve Heart Failure Outcomes trial, we compared the effectiveness of random forests, boosting, random forests combined hierarchically with support vector machines or logistic regression (LR), and Poisson regression against traditional LR to predict 30- and 180-day all-cause readmissions and readmissions because of heart failure. We randomly selected 50% of patients for a derivation set, and a validation set comprised the remaining patients, validated using 100 bootstrapped iterations. We compared C statistics for discrimination and distributions of observed outcomes in risk deciles for predictive range. In 30-day all-cause readmission prediction, the best performing machine learning model, random forests, provided a 17.8% improvement over LR (mean C statistics, 0.628 and 0.533, respectively). For readmissions because of heart failure, boosting improved the C statistic by 24.9% over LR (mean C statistic 0.678 and 0.543, respectively). For 30-day all-cause readmission, the observed readmission rates in the lowest and highest deciles of predicted risk with random forests (7.8% and 26.2%, respectively) showed a much wider separation than LR (14.2% and 16.4%, respectively). Conclusions—Machine learning methods improved the prediction of readmission after hospitalization for heart failure compared with LR and provided the greatest predictive range in observed readmission rates.

Return to Work After Acute Myocardial Infarction

Background—Return to work after acute myocardial infarction (AMI) is an important outcome and is particularly relevant to young patients. Women may be at a greater risk for not returning to work given evidence of their worse recovery after AMI than similarly aged men. However, sex differences in return to work after AMI has not been studied extensively in a young population (⩽55 years). Methods and Results—We analyzed data from 1680 patients with AMI aged 18 to 55 years (57% women) participating in the Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients (VIRGO) study who were working full time (≥35 hours) before the event. Data were obtained by medical record abstraction and patient interviews. We conducted multivariable regression analyses to examine sex differences in return to work at 12 months after AMI, and the association of patient characteristics with return to work. When compared with young men, young women were less likely to return to work (89% versus 85%; 85% versus 89%, P=0.02); however, this sex difference was not significant after adjusting for patient sociodemographic characteristics, psychosocial factors, and health measures. Being married, engaging in a professional or clerical type of work, having more favorable physical health, and having no previous coronary disease or hypertension were significantly associated with a higher likelihood of return to work at 12 months. Conclusions—Among a young population, women are less likely to return to work after AMI than men. This disadvantage is explained by differences in demographic, occupational, and health characteristics.