Faculty Bibliography

OBJECTIVES/OBJECTIVE:The KNee OsteoArthritis Prediction (KNOAP2020) challenge was organized to objectively compare methods for the prediction of incident symptomatic radiographic knee osteoarthritis within 78 months on a test set with blinded ground truth. DESIGN/METHODS:The challenge participants were free to use any available data sources to train their models. A test set of 423 knees from the Prevention of Knee Osteoarthritis in Overweight Females (PROOF) study consisting of magnetic resonance imaging (MRI) and X-ray image data along with clinical risk factors at baseline was made available to all challenge participants. The ground truth outcomes, i.e., which knees developed incident symptomatic radiographic knee osteoarthritis (according to the combined ACR criteria) within 78 months, were not provided to the participants. To assess the performance of the submitted models, we used the area under the receiver operating characteristic curve (ROCAUC) and balanced accuracy (BACC). RESULTS:Seven teams submitted 23 entries in total. A majority of the algorithms were trained on data from the Osteoarthritis Initiative. The model with the highest ROCAUC (0.64 (95% confidence interval (CI): 0.57-0.70)) used deep learning to extract information from X-ray images combined with clinical variables. The model with the highest BACC (0.59 (95% CI: 0.52-0.65)) ensembled three different models that used automatically extracted X-ray and MRI features along with clinical variables. CONCLUSION/CONCLUSIONS:The KNOAP2020 challenge established a benchmark for predicting incident symptomatic radiographic knee osteoarthritis. Accurate prediction of incident symptomatic radiographic knee osteoarthritis is a complex and still unsolved problem requiring additional investigation.

Background: TMPRSS2, a cell surface protease which is commonly upregulated in prostate cancer (PC) and regulated by androgens, is a necessary component for SARS-CoV2 cellular entry into respiratory epithelial cells. PC patients receiving ADT were reported to have a lower risk of SARSCoV- 2 infection. However, whether ADT may have an impact on the severity of COVID-19 illness in this population is poorly understood.
Method(s): In this study performed across 7 US medical centers, we retrospectively evaluated patients with active PC and SARS-COV-2 viral detection by PCR between 03/01/20 and 05/31/20. We collected information on demographics; medical comorbidities; medications; PC Gleason score at initial diagnosis; presence of active disease, metastases, and castration resistance; ADT use as defined by GnRH analog or antagonist within 3 months or castration levels of testosterone < 50 ng/dL within 6 months of COVID-19 diagnosis, or history of bilateral orchiectomy; active non-ADT systemic therapies including, but not limited to, androgen-receptor-targeted therapies and chemotherapy; and COVID-19-related outcomes including hospitalization, supplemental oxygen use, mechanical ventilation requirement, WHO COVID-19 ordinal scale for clinical improvement, follow-up duration, and vital status. Multivariable mixed-effect logistic regression was performed to evaluate any difference in COVID-19 clinical outcomes between patients on and not on ADT. Survival analysis was done using adjusted Cox proportion-hazards regression model. All tests were two-sided at 0.05 significance level.
Result(s): We identified 465 evaluable patients with median age of 71 (61-81) years. Median duration of follow-up was 60 (12-114.2) days. In this follow up period, there were 195 (41.9%) hospitalizations and 111 (23.9%) deaths. When adjusted for age, BMI, and PC clinical disease state, overall survival (HR 1.28 [95%CI 0.79-2.08], P = 0.32), hospitalization status (HR 1.07 [0.61-1.87], P = 0.82), supplemental oxygen use (HR 1.29 [0.77-2.17], P = 0.34), and use of mechanical ventilation (HR 1.07 [0.51-2.23], P = 0.87) were not statistically different between ADT and non-ADT cohorts. Similarly, in subgroup analysis, no statistical difference in overall survival was found between ADT and non-ADT cohorts for hospitalized patients (HR 1.42 [0.82-2.47], P = 0.21) and those receiving supplemental oxygen (HR 1.10 [0.65-1.85], P = 0.73).
Conclusion(s): In this retrospective cohort of PC patients, use of ADT prior to COVID-19 diagnosis does not protect against severe COVID-19 illness as defined by hospitalization, supplemental oxygen use, or death. Further preclinical work in understanding TMPRSS2 expression and androgen regulation in respiratory epithelial cells is needed. As well, longer clinical follow-up and additional clinical studies inclusive of prospective data are warranted to fully address this question

INTRODUCTION: Bariatric surgery has become a common therapeutic approach to obesity. However, bariatric procedures may affect bowel habits due to changes in dietary intake as well as altered anatomy. To date, few studies have evaluated the impact of bariatric surgery on post-operative constipation. The aim of this study is to determine if patients experience a greater rate of constipation after bariatric surgery compared to non-bariatric controls.
METHOD(S): A retrospective chart review at New York Langone Hospital (NYU) was performed on 160 bariatric surgery patients who had surgery in the year 2012 and 160 control patients with BMI < 30 kg/m2 seen in primary care in 2012. Reports of constipation were recorded up until November 2018. Exclusion criteria included those with inflammatory bowel disease or hereditary colorectal cancer syndromes prior to age 50. The primary outcome was diagnosis of post-operative constipation. Secondary outcomes included rates of constipation according to surgical procedure. Presence of constipation was recorded if listed on the problem list or if medications for constipation were prescribed. Logistic regression and chi-squared testing was used to assess differences in groups.
RESULT(S): Table 1 shows patient characteristics of the study population. The average age of bariatric surgery patients was 64.1 years compared to 69.8 in the control group. Overall, 20% of bariatric patients were diagnosed with constipation compared to 15% of controls (P = 0.239). Constipation rates post-bariatric surgery were 17.9% in lap band, 20.6% in sleeve gastrectomy, and 7.1% in gastric bypass patients (P = 0.256). A logistic regression controlling for age, sex, and Charlson co-morbidity index was performed between controls and post-surgery subjects. This revealed no significant difference in rates of constipation between the two groups (OR 1.158, 95% CI 0.790 - 1.696 P-value = 0.45). There was, however, a significant difference in constipation rates between the bariatric group pre-surgery (13.8%) and post-surgery (17.5%) (P = < 0.001) (Table 2).
CONCLUSION(S): Bariatric surgery patients experience significantly higher rates of constipation after surgery compared to prior to surgery, but similar rates to controls without obesity. Constipation impairs quality of life and is associated with significant health care costs. Further studies investigating the mechanisms underlying this increase in constipation after bariatric surgery and effective measures to treat it are warranted. (Figure Presented)

Polycystic ovary syndrome (PCOS) is a common disease among the bariatric population. However, there are limited data regarding the impact of laparoscopic sleeve gastrectomy (SG) on these patients. The study was conducted at University Hospital, United States. The purpose of this study was to examine per cent excess body weight loss (%EWL) and diabetes control in patients who have PCOS compared with those without PCOS. A total of 550 female patients underwent SG between December 2011 and October 2016. Retrospective analysis was completed to include follow-up data at 1, 3, 6, and 12 months and yearly after that. Outcomes measured were %EWL and hemoglobin A1c (HgbA1c). The mean and median follow-up for the entire cohort was 21 and 15 months, respectively. Seventy-eight per cent of patients completed at least 12 months of follow-up for %EWL, although only 21 per cent had similar follow-up for HgbA1c. PCOS patients had similar age (36.3 vs 36.2 years, P = 0.90), preoperative BMI (47.2 vs 47.2, P = 0.99), preoperative HgbA1c (6% vs 5.8%, P = 0.31), conversion rate to gastric bypass, and other associated comorbidities compared with non-PCOS comparisons. There was no difference in %EWL at 12-month (49.7% vs 53.1%, P = 0.53) or 24-month (43% vs 49.8%, P = 0.46) postoperative intervals. There was no difference in absolute change of HgbA1c at 12 months (-0.47% vs -0.67%, P = 0.39). SG has equivalent short-term results in %EWL and reduction in HgbA1c for patients who have PCOS and those who do not.

Aims: Liraglutide, a GLP-1 agonist, was recently approved by the Food and Drug Administration (FDA) for use in the treatment of obesity. A large subset of patients have weight regain after bariatric surgery, but would prefer medical obesity management over revisional surgery. Our study evaluated the efficacy of liraglutide in patients with prior bariatric surgery who experienced either suboptimal weight loss or weight regain after their procedures. Methods: A review was performed of all patients at our weight loss center who had been prescribed liraglutide for weight loss and had prior bariatric surgery. Patients with o4 months of liraglutide use were excluded from analysis, as this was felt to be an insufficient time period in which to evaluate efficacy. Results: There were twenty-five patients who met all inclusion and exclusion criteria. Thirteen patients had laparoscopic adjustable gastric bands (LAGB), eight had roux-en-Y gastric bypasses (RYGB), three had longitudinal sleeve gastrectomies (LSG), and one had LAGB over RYGB. Dosages varied from 1.2 mg to 3.0 mg daily of liraglutide, depending on insurance approval and patient tolerance. Average weight prior to therapy was 237.69 lbs and average body-mass index (BMI) was 39.22. Patients showed a significant weight loss at 16 weeks (230.36 lbs, p=.002), 20 weeks (228.02 lbs, po.0001), and 24 weeks (215.2 lbs, po.0001). BMI was significantly reduced at 24 weeks as well (35.29, po.0001). Conclusions: Medical weight management with Liraglutide may be an effective alternative treatment in patients with prior bariatric surgery

Aims: Our institution implemented a Value-Based Medicine (VBM) clinical pathway to standardize the pre-, peri-, and post-operative management of longitudinal sleeve gastrectomy (LSG) patients. The goal of the program was to decrease patient length of stay (LOS) while maintaining the same clinical outcomes seen prior to initiation. Methods: The VBM pathway was instituted in September of 2014. A retrospective review was performed of all primary LSG cases from 2011-2015. Pre-VBM LSG patients were matched to post-VBM patients in a 1:1 ratio. Matching criteria were age within five years, body-mass index (BMI) within 5 kg/m, expected LOS within 0.5 days, same sex, and same status for prior abdominal surgery. Patients < 18 years of age, body mass index (BMI) < 35, and those with prior bariatric surgery were excluded from analysis. Primary outcomes were LOS, LOS > 2 days, operating room (OR) time, and cost per admission. Secondary outcomes included 30-day readmissions and reoperations. Results: There were 426 pre-VBM and 507 post-VBM patients. After matching for age, sex, BMI, expected LOS and previous abdominal surgery, there were 330 patients in each of the pre-VBM and post-VBM groups. There were no clinically significant demographic differences between the two groups. The post-VBM group had shorter mean OR time (75.1 vs 95.8 min, p<.0001), shorter LOS (1.50 vs 1.94 days, p<.0001), lower cost (median cost $792 less than pre-VBM group, p<.0001), and lower reoperation rate (0.0% vs 2.1%, p=.015). Readmission rate was lower in the post-VBM group, but did not reach statistical significance (2.7% vs 4.9%, p=.154). After controlling for hospital trends over time, LOS > 2 days (p=.008) and median cost (p=.019) remained significant. OR time (p=.058) and mean LOS (p=.338) still showed an improved trend, but could not be directly correlated to VBM implementation. Conclusions: Standardization of clinical care for LSG patients is feasible and effective. Patient length of stay and hospital cost were successfully decreased with no negative impact seen on 30-day post-operative outcomes

OBJECTIVE:We previously reported improved body composition and cardiovascular risk markers plus a small decrease in glucose tolerance with GH administration vs placebo for 6 months to abdominally obese premenopausal women. The objective of this study was to determine whether the effects of GH treatment on cardiovascular risk markers, body composition and glucose tolerance in obese women persist 6 months after GH withdrawal. DESIGN AND PATIENTS/METHODS:Fifty abdominally obese premenopausal women completed a trial of rhGH vs placebo for 6 months; thirty-nine women completed a subsequent 6-month withdrawal observation period. MEASUREMENTS/METHODS:IGF-I, body composition by CT, (1) H-MRS and DXA, serum cardiovascular risk markers, oral glucose tolerance test (OGTT). RESULTS:IGF-I standard deviation scores (SDS) within the GH group were -1.7 ± 0.1 (pretreatment),-0.1 ± 0.3 (after 6 months of GH) and -1.7 ± 0.1 (6 months post-GH withdrawal). Six months after GH withdrawal, total abdominal and subcutaneous adipose tissue, total fat, trunk fat, trunk/extremity fat, hsCRP, apoB, LDL, and tPA were higher than at the 6-month (GH discontinuation) timepoint (P ≤ 0.05). All body composition and cardiovascular risk markers that had improved with GH returned to baseline levels by 6 months after GH discontinuation, as did fasting and 2-h OGTT glucose levels. CONCLUSION/CONCLUSIONS:The effects of GH administration to abdominally obese premenopausal women have a short time-course. The beneficial effects on body composition and cardiovascular risk markers, and the side effect of altered glucose tolerance returned to pretreatment levels after GH withdrawal. There was no suppression of endogenous IGF-I levels, which returned to baseline after GH withdrawal.