Diabetes and Its Effect on Abdominal Aortic Aneurysm Growth Rate in Hispanic Patients.

BACKGROUND: The growth rate of abdominal aortic aneurysms (AAA) can vary depending on age, baseline diameter, blood pressure, race, and history of smoking. Paradoxically, previous studies show evidence of a protective effect of diabetes on the rate of AAA expansion despite its well-established role in the morbidity and mortality of cardiovascular disease. This study aims to investigate the impact diabetes plays on AAA growth within a Hispanic population. METHODS: Data were collected from patients who were predominantly Mexican-American at a single hospital site. Baseline and follow-up measures for AAA diameter were obtained from serial imaging studies. Demographics, medical history, the presence of type 2 diabetes, and medication use were extracted from hospital records. Linear mixed-effects growth models were used to calculate the overall AAA growth rate and to assess the difference in AAA growth rate between demographics, comorbidities, and medication use. RESULTS: The study comprised 201 patients (70.4% male) with a mean baseline age of 79.1 years, of whom 43.2% were diabetic. The average monthly AAA growth rate across all study participants was 0.15 mm (SE = 0.02 mm). Independently, the average AAA expansion rate for the diabetic and nondiabetic groups was 0.07 mm (SE = 0.04 mm) and 0.21 mm (SE = 0.03 mm) per month, respectively. This demonstrates a 65% lower linear AAA expansion rate per month in patients with diabetes. CONCLUSIONS: This study confirms a difference of AAA physiology between diabetics and nondiabetics in the Hispanic community. The observed significant difference in AAA growth rate may be a combination of factors associated with race/ethnicity, prevalence of diabetes mellitus, and low compliance with diabetic control exhibited in the Mexican-American population.

The effect of Hispanic ethnicity on surgical outcomes: An analysis of the NSQIP database.

BACKGROUND: Existing literature has shown racial/ethnic disparities between white and black surgical populations, however, surgical outcomes for Hispanic patients are limited in both scope and quantity. METHODS: Data from the American College of Surgeons National Surgical Quality Improvement Program from 2007 to 2015 was used to analyze surgical outcomes in approximately 3.5 million patients. RESULTS: Overall, Hispanics experienced lower odds of mortality compared to non-Hispanic White, non-Hispanic Black, and non-Hispanic American Indian or Alaska Native patients (all P < 0.0001). No difference was found in mortality odds between Hispanics and non-Hispanic Asian or Native Hawaiian patients. Hispanics experienced minimal disparities in complications as compared to non-Hispanic White and non-Hispanic Black but had a higher rate of select complications when compared to Non-Hispanic Asian, Native Hawaiian, or Pacific Islander. CONCLUSION: Hispanics, in general, had lower odds of 30-day postoperative mortality and major morbidity compared to most of the races/ethnicities included in the ACS NSQIP database.

Prevalence of Aflatoxin-Associated TP53R249S Mutation in Hepatocellular Carcinoma in Hispanics in South Texas.

We aimed to determine whether aflatoxin dietary exposure plays a role in the high incidence of hepatocellular carcinoma (HCC) observed among Hispanics in South Texas. We measured TP53R249S somatic mutation, hallmark of aflatoxin etiology in HCC, using droplet digital PCR and RFLP. TP53R249S mutation was detected in 3 of 41 HCC tumors from Hispanics in South Texas (7.3%). We also measured TP53R249S mutation in plasma cell-free DNA (cfDNA) from 218 HCC patients and 96 Hispanic subjects with advanced fibrosis or cirrhosis, from South Texas. The mutation was detected only in Hispanic and Asian HCC patients, and patients harboring TP53R249S mutation were significantly younger and had a shorter overall survival. The mutation was not detected in any Hispanic subject with advanced fibrosis or cirrhosis. Genes involved in cell-cycle control of chromosomal replication and in BRCA1-dependent DNA damage response were enriched in HCCs with TP53R249S mutation. The E2F1 family members, E2F1 and E2F4, were identified as upstream regulators. TP53R249S mutation was detected in 5.7% to 7.3% of Hispanics with HCC in South Texas. This mutation was associated with a younger age and worse prognosis. TP53R249S was however not detected in Hispanics in South Texas with cirrhosis or advanced fibrosis. Aflatoxin exposure may contribute to a small number of HCCs in Hispanics in South Texas, but the detection of TP53R249S mutation in plasma cfDNA is not a promising biomarker of risk assessment for HCC in subjects with cirrhosis or advanced fibrosis in this population. Cancer Prev Res; 11(2); 103-12. ©2017 AACR.

Outcomes After Use of Aortouniiliac Endoprosthesis Versus Modular or Unibody Bifurcated Endoprostheses for Endovascular Repair of Ruptured Abdominal Aortic Aneurysms.

OBJECTIVES: Outcomes after endovascular repair (EVAR) of ruptured abdominal aortic aneurysms (rAAAs) have been widely published. There is, however, controversy on the role of the use of aortouniiliac endoprosthesis (AUI) versus modular or unibody bifurcated endoprosthesis (MUB) for repair of rAAAs. We study and compare 30-day outcomes after use of AUI and MUB for all rAAAs focusing specifically on patients with instability. MATERIALS AND METHODS: Patients who underwent EVAR for rAAA (n = 425) using AUI (n = 55; 12.9%) and MUB (n = 370; 87.1%) were identified from the American College of Surgeons' National Surgical Quality Improvement Program (2005-2010) database. Univariable and multivariable logistic regression analyses were performed. RESULTS: No significant difference ( P > .5) was seen in comorbidities between patients who underwent EVAR with AUI or MUB; there was also no change in endoprosthesis use from 2005 to 2010 ( P = .7). Patients who underwent EVAR with AUI more commonly had a history of peripheral arterial procedure (10.9% vs 4.6%; P = .053) and preoperative transfusion of >4 U packed red blood cells (18.2% vs 6.8%; P = .004). Use of AUI versus MUB was associated with more 30-day wound complications (16.4% vs 6.2%; P = .01), return to operating room (38.2% vs 20.0%; P = .003), and mortality (34.5% vs 21.4%; P = .03). On multivariable analysis, use of AUI was associated with an increased risk of 30-day mortality (odds ratio: 2.4; 95% confidence interval: 1.1-5.3). On subanalysis of the cohort for only the patients with unstable rAAA (n = 159; AUI = 29 and MUB = 130), 30-day mortality for AUI versus MUB was still higher but not statistically significant (44.8% vs 32.3%; P = .2). CONCLUSION: Endovascular repair for ruptured AAA using aortouniliac endoprosthesis is associated with higher 30-day mortality than using modular or unibody bifurcated endoprosthesis.

Pediatric Nonalcoholic Fatty Liver Disease: the Rise of a Lethal Disease Among Mexican American Hispanic Children.

Hispanic children of Mexican origin have a high incidence of NAFLD. Susceptibility has been linked to a combination of factors including an increasing epidemic of obesity in children and adolescents, an allele substitution in the PNPLA3 gene that reduces hepatic lipid catabolism, and an altered microbiome that may increase hepatic endotoxins. The combination of NAFLD and portal vein toxins secondary to an indigenous gut microbiome appear to lead to the early occurrence of NASH, which progresses to cirrhosis and early hepatocellular carcinoma. Early detection and treatment of hepatic changes are needed. Given the success of gastric bypass in reducing body weight, modifying the gut microbiome, and improving NAFLD/NASH in adults, a trial of gastric bypass in predisposed pediatric candidates should be undertaken.

Development and validation of a bariatric surgery mortality risk calculator.

BACKGROUND: While the epidemic of obesity continues to plague America, bariatric surgery is underused due to concerns for surgical risk among patients and referring physicians. A risk score estimating postoperative mortality (OS-MRS) exists, however, is limited by consideration of only 12 preoperative variables, failure to separate open and laparoscopic cases, a lack of robust statistical analyses, risk factors not being weighted, and being applicable to only gastric bypass surgery. The objective of this study was to develop a validated risk calculator for 30-day postoperative mortality after bariatric surgery. STUDY DESIGN: The National Surgical Quality Improvement Program (NSQIP) dataset (2006 to 2008) was used. Patients undergoing bariatric surgery for morbid obesity (n = 32,889) were divided into training (n = 21,891) and validation (n = 10,998) datasets. Multiple logistic regression analysis was performed on the training dataset. The model fit from the training dataset was maintained and was used to estimate mortality probabilities for all patients in the validation dataset. RESULTS: Thirty-day mortality was 0.14%. Seven independent predictors of mortality were identified: peripheral vascular disease, dyspnea, previous percutaneous coronary intervention, age, body mass index, chronic corticosteroid use, and type of bariatric surgery. This risk model was subsequently validated. The model performance was very similar between the training and the validation datasets (c-statistics, 0.80 and 0.82, respectively). The high c-statistics indicate excellent predictive performance. The risk model was used to develop an interactive risk calculator. CONCLUSIONS: This risk calculator has excellent predictive ability for mortality after bariatric procedures. It is anticipated that it will aid in surgical decision-making, informed patient consent, and in helping patients and referring physicians to assess the true bariatric surgical risk.

Outcomes after thyroidectomy and parathyroidectomy.

BACKGROUND: Previous reports on postoperative outcomes following thyroid and parathyroid surgery are limited by relatively small sample size. We report 30-day outcomes following thyroid and parathyroid surgery and analyze factors affecting length of stay (LOS) and postoperative adverse events (AEs). METHODS: The multicenter, prospective, National Surgical Quality Improvement Program (NSQIP) datasets (2007/2008) were used. Multivariable logistic regression and analysis of covariance (ANCOVA) were performed. RESULTS: Patients undergoing thyroidectomy, parathyroidectomy, or both were identified (n = 13,380, 6154, 1535, respectively). Thirty-day mortality was 0.08%, 0.16%, and 0.2%, respectively; 30-day morbidity was 3.50%, 3.02%, and 4.04%, respectively. Mean LOS values were 1.1 ± 1.4, 1.1 ± 2.1, and 1.4 ± 3.1 days, respectively. Congestive heart failure, dependent functional status, dialysis dependence, and chronic corticosteroid use were significantly associated with increased LOS and postoperative AE. CONCLUSIONS: Morbidity and mortality rates following thyroid and parathyroid surgery are low. These data could be used by third-party interests, and surgeons should be aware of them to ensure their outcomes are in the national norm.

Carcinoembryonic antigen (CEA) and its receptor hnRNP M are mediators of metastasis and the inflammatory response in the liver.

This article discusses the role of carcinoembryonic antigen (CEA) as a facilitator of the inflammatory response and its effect on colorectal cancer hepatic metastasis. Colorectal cancer accounts for 11% of all cancers in the United States and the majority of deaths are associated with liver metastasis. If left untreated, median survival is only six to 12 months. Resection of liver metastases offers the only chance for cure. Of the small number of patients who have operable cancer most will have further tumor recurrence. The molecular mechanisms associated with colorectal cancer metastasis to the liver are largely unknown. However CEA production has been shown both clinically and experimentally to be a factor in an increased metastatic potential of colorectal cancers to the liver. CEA also has a role in protecting tumor cells from the effects of anoikis and this affords a selective advantage for tumor cell survival in the circulation. CEA acts in the liver through its interaction with its receptor (CEAR), a protein that is related to the hnRNP M family of RNA binding proteins. In the liver CEA binds with hnRNP M on Kupffer cells and causes activation and production of pro- and anti-inflammatory cytokines including IL-1, IL-10, IL-6 and TNF-α. These cytokines affect the up-regulation of adhesion molecules on the hepatic sinusoidal endothelium and protect the tumor cells against cytotoxicity by nitric oxide (NO) and other reactive oxygen radicals. HnRNP M signaling in Kupffer cells appears to be controlled by beta-adrenergic receptor activation. The cells will respond to the ß-adrenergic receptor agonist terbutaline resulting in reduced TNF-α and increased IL-10 and IL-6 production following CEA activation. This has implications for the control of tumor cell implantation and survival in the liver.

Development and validation of a risk calculator for prediction of cardiac risk after surgery.

BACKGROUND: Perioperative myocardial infarction or cardiac arrest is associated with significant morbidity and mortality. The Revised Cardiac Risk Index is currently the most commonly used cardiac risk stratification tool; however, it has several limitations, one of which is its relatively low discriminative ability. The objective of the present study was to develop and validate a predictive cardiac risk calculator. METHODS AND RESULTS: Patients who underwent surgery were identified from the American College of Surgeons' 2007 National Surgical Quality Improvement Program database, a multicenter (>250 hospitals) prospective database. Of the 211 410 patients, 1371 (0.65%) developed perioperative myocardial infarction or cardiac arrest. On multivariate logistic regression analysis, 5 predictors of perioperative myocardial infarction or cardiac arrest were identified: type of surgery, dependent functional status, abnormal creatinine, American Society of Anesthesiologists' class, and increasing age. The risk model based on the 2007 data set was subsequently validated on the 2008 data set (n=257 385). The model performance was very similar between the 2007 and 2008 data sets, with C statistics (also known as area under the receiver operating characteristic curve) of 0.884 and 0.874, respectively. Application of the Revised Cardiac Risk Index to the 2008 National Surgical Quality Improvement Program data set yielded a relatively lower C statistic (0.747). The risk model was used to develop an interactive risk calculator. CONCLUSIONS: The cardiac risk calculator provides a risk estimate of perioperative myocardial infarction or cardiac arrest and is anticipated to simplify the informed consent process. Its predictive performance surpasses that of the Revised Cardiac Risk Index.

Development and validation of a risk calculator predicting postoperative respiratory failure.

BACKGROUND: Postoperative respiratory failure (PRF) (requiring mechanical ventilation > 48 h after surgery or unplanned intubation within 30 days of surgery) is associated with significant morbidity and mortality. The objective of this study was to identify preoperative factors associated with an increased risk of PRF and subsequently develop and validate a risk calculator. METHODS: The American College of Surgeons National Surgical Quality Improvement Program (NSQIP), a multicenter, prospective data set (2007-2008), was used. The 2007 data set (n = 211,410) served as the training set and the 2008 data set (n = 257,385) as the validation set. RESULTS: In the training set, 6,531 patients (3.1%) developed PRF. Patients who developed PRF had a significantly higher 30-day mortality (25.62% vs 0.98%, P < .0001). On multivariate logistic regression analysis, five preoperative predictors of PRF were identified: type of surgery, emergency case, dependent functional status, preoperative sepsis, and higher American Society of Anesthesiologists (ASA) class. The risk model based on the training data set was subsequently validated on the validation data set. The model performance was very similar between the training and the validation data sets (c-statistic, 0.894 and 0.897, respectively). The high c-statistics (area under the receiver operating characteristic curve) indicate excellent predictive performance. The risk model was used to develop an interactive risk calculator. CONCLUSIONS: Preoperative variables associated with increased risk of PRF include type of surgery, emergency case, dependent functional status, sepsis, and higher ASA class. The validated risk calculator provides a risk estimate of PRF and is anticipated to aid in surgical decision making and informed patient consent.

Can we continue to ignore gender differences in performance on simulation trainers?

BACKGROUND: There are differences between the genders in their innate performances on simulation trainers, which may impair accurate assessment of psychomotor skills. METHODS: The performance of fourth-year students with no exposure to the Minimally Invasive Surgical Trainer compared based on gender, and other psychomotor skills. RESULTS: Our study included 16 male and 16 female students. After adjusting for choice of medical specialty (P<.001), current video game use (P=.6), and experience in the operating room (P=.4), female sex was an independent factor for worse performance (P=.04) in multivariate models. Women took more time than men (P<.01) and made more errors (29 versus 25 on 3 reps, P<.01). CONCLUSIONS: Among medical students with no previous exposure to laparoscopic trainers, female students perform worse than male students after adjusting for confounding factors. This difference must be recognized by training programs while using simulators for training and evaluation.

Determinants of resource utilization and outcomes in laparoscopic Roux-en-Y gastric bypass: a multicenter analysis of 14,251 patients.

BACKGROUND: Outcomes for patients who undergo laparoscopic Roux-en-Y gastric bypass (LRYGB) surgery have improved, but a subset of patients who significantly utilize more resources exists. We identified preoperative variables that increase resource utilization in patients who undergo LRYGB. METHODS: Patients who underwent LRYGB in 2007 and 2008 were identified from the NSQIP database. Variables that indicated resource utilization were operative time (OT), length of stay (LOS), and occurrence of postoperative complications. Analyses were performed by using multivariate analysis of variance and logistic regression. RESULTS: Of 14,251 patients with a mean age of 44.6 (± 11.1) years, 19.4% were men. The national 30-day morbidity and mortality were 4.5% and 0.17%, respectively. The median OT was 128 min (interquartile range (IQR), 100-167), and the median LOS was 2 days (IQR, 2-3). Bleeding disorder, male gender, African American race, increasing weight, and age were significantly associated with increased OT (p < 0.05 for all). Severe chronic obstructive pulmonary disease, bleeding disorder, increasing age, and anesthesia time were associated with increased length of stay (p < 0.05). Preoperative dialysis dependence (odds ratio (OR), 8.5; 95% confidence interval (CI), 2.3-32.3) and dyspnea at rest (OR, 3.3; 95% CI, 1.7-6.3) were the greatest predictors of postoperative complications. Emergency case, bleeding disorder, prior percutaneous coronary intervention, and increasing operative time also were significantly associated with increased postoperative complications on multivariate logistic regression analysis (p < 0.05 for all). CONCLUSIONS: Age, sex, race, obesity, and some medical comorbidities affect outcomes and increase resource utilization. Optimization of modifiable factors and careful patient selection are needed to facilitate further improvement in outcomes and resource utilization.

Development and validation of a bariatric surgery morbidity risk calculator using the prospective, multicenter NSQIP dataset.

BACKGROUND: Although a risk score estimating postoperative mortality for patients undergoing gastric bypass exists, there is none predicting postoperative morbidity. Our objective was to develop a validated risk calculator for 30-day postoperative morbidity of bariatric surgery patients. STUDY DESIGN: We used the American College of Surgeons' 2007 National Surgical Quality Improvement Program (NSQIP) dataset. Patients undergoing bariatric surgery for morbid obesity were studied. Multiple logistic regression analysis was performed and a risk calculator was created. The 2008 NSQIP dataset was used for its validation. RESULTS: In 11,023 patients, mean age was 44.6 years, 20% were male, 77% were Caucasian, and mean body mass index (BMI; calculated as kg/m(2)) was 48.9. Thirty-day morbidity and mortality were 4.2% and 0.2%, respectively. Risk factors associated with increased risk of postoperative morbidity included recent MI/angina (odds ratio [OR] = 3.65; 95% CI 1.23 to 10.8), dependent functional status (OR = 3.48; 95% CI 1.78 to -6.80), stroke (OR = 2.89; 95% CI 1.09 to 7.67), bleeding disorder (OR = 2.23; 95% CI 1.47 to 3.38), hypertension (OR = 1.34; 95% CI 1.10 to 1.63), BMI, and type of bariatric surgery. Patients with BMI 35 to <45 and >60 had significantly higher adjusted OR compared with patients with BMI of 45 to 60 (p < 0.05 for all). These factors were used to create the risk calculator and subsequently validate it, with the model performance very similar between the 2007 training dataset and the 2008 validation dataset (c-statistics: 0.69 and 0.66, respectively). CONCLUSIONS: NSQIP data can be used to develop and validate a risk calculator that predicts postoperative morbidity after various bariatric procedures. The risk calculator is anticipated to aid in surgical decision making, informed patient consent, and risk reduction.

Preoperative weight gain might increase risk of gastric bypass surgery.

BACKGROUND: Weight loss improves the cardiovascular and metabolic risk associated with obesity. However, insufficient data are available about the health effects of weight gain, separate from the obesity itself. We sought to determine whether the changes in body weight before open gastric bypass surgery (OGB) would have a significant effect on the immediate perioperative hospital course. METHODS: A retrospective chart review of 100 consecutive patients was performed to examine the effects of co-morbidities and body weight changes in the immediate preoperative period on the hospital length of stay and the rate of admission to the surgical intensive care unit (SICU). RESULTS: Of our class III obese patients undergoing OGB, 95% had ≥1 co-morbid condition and an overall SICU admission rate of 18%. Compared with the patients with no perioperative SICU admission, the patients admitted to the SICU had a greater degree of insulin resistance (homeostatic model analysis-insulin resistance 10.8 ± 1.3 versus 5.9 ± 0.5, P = .001), greater serum triglyceride levels (225 ± 47 versus 143 ± 8 mg/dL, P = .003), and had gained more weight preoperatively (.52 ± .13 versus .06 ± .06 lb/wk, P = .003). The multivariate analyses showed that preoperative weight gain was a risk factor for a longer length of stay and more SICU admissions lasting ≥3 days, as were a diagnosis of sleep apnea and an elevated serum triglyceride concentration. CONCLUSION: The results of the present retrospective study suggest that weight gain increases the risk of perioperative SICU admission associated with OGB, independent of the body mass index. Sleep apnea and elevated serum triglyceride levels were also important determinants of perioperative morbidity. In view of the increasing epidemic of obesity and the popularity of bariatric surgical procedures, we propose that additional clinical and metabolic research focusing on the understanding of the complex relationship among obesity, positive energy balance, weight gain, and perioperative morbidity is needed.

In hospital outcomes after pancreatectomies: an analysis of a national database from 1996 to 2004.

INTRODUCTION: National complication rates following pancreatectomies have not been systematically reported. METHODS: We queried the national hospital discharge survey (NHDS) database to analyze risk factors associated with mortality and length of stay after pancreatectomies. RESULTS: An estimated 49,346 pancreatectomies were performed from 1996 to 2004. The national mortality rate is 9% with an average length of stay 15 days (Interquartile range 10-23) while the morbidity is 35%. Size of the hospital (<300 beds) (OR 2.76 (95% CI 1.14-6.70, P = 0.02)), post-operative pulmonary edema (OR 2.80 (95% CI 1.28-6.12, P = 0.01)) and sepsis (OR 5.22 (95% CI 1.94-14.11, P = 0.001)) are associated with higher mortality. Patients in larger hospitals (>500 beds) (Rate ratio 0.87 (95% CI 0.83-0.91, P < 0.001)) had a shorter hospital stay. Temporal trends reveal a shorter hospital length of stay in 2004 (Rate ratio 0.86 (95% CI 0.78-0.94, P = 0.001)) as compared to 1996. The percentage of pancreatectomies performed at larger hospitals in 1996 (40%) and 2004 (41%) has remained constant. CONCLUSION: The national mortality and morbidity rates after pancreaticoduodenectomy are 9% and 35%, respectively. Larger hospital size and absence of pulmonary edema and sepsis improves mortality. Larger hospitals have better outcomes although the trend for regionalization is not apparent.

Inhibition of lipopolysaccharide activation of Kupffer cells by transition metals.

BACKGROUND: Bacterial endotoxins are the principal agents causing sepsis and septic shock. Cytokine cascades produced by cellular interactions to endotoxins can cause cardiovascular failure followed by multi-organ failure and death. Endotoxin intravenously administered to mice can have fatal consequences. Previous studies have shown that the transition metals Mn2+ and Cr3+ can be protective. METHODS: The effects of Mn2+, Cr3+, Zn2+, and Cu2+ on lipopolysaccharide (LPS) binding to rat Kupffer cell extracts were analyzed using dot-blots, sodium dodecyl sulfate-polyacrylamide gel electrophoresis, and Western transfer. Kupffer cells were isolated from rat livers by collagenase perfusion, differential centrifugation, and adhesion to plastic. RESULTS: Five millimolar of Mn2+, Zn2+, Cr3+, and Cu2+ completely inhibited LPS binding. Isolated Kupffer cells were also exposed to Mn2+ and to LPS and tumor necrosis factor-alpha release measured. The presence of Mn2+ significantly (P < 0.05) reduced tumor necrosis factor-alpha production by Kupffer cells in response to LPS. Experiments to determine if these effects were mediated by binding to LPS-binding proteins showed this was not the case. More likely a complex occurs between the metal and LPS. We also showed significantly enhanced uptake of LPS into Kupffer cells in the presence of Mn2+. CONCLUSIONS: The data are consistent with the metals binding to LPS via its two phosphate groups and neutralizing their charge. These data also support the hypothesis that there is enhanced cellular uptake by non-receptor-mediated methods such as absorptive pinocytocis. At the same time receptor binding and activation of the cells is inhibited. This can explain the effects of transition metals on LPS toxicity.