Roth Net-Assisted Endoscopic-Guided Manometry Catheter Placement.

High-resolution esophageal manometry (HRM) has become the gold standard to diagnose esophageal motility disorders. Usually, this procedure is performed by introducing the catheter, which has pressure sensors, into the esophagus and proximal stomach via the nares. Repeated coiling of the catheter and inability to pass through the gastroesophageal junction (GEJ) are common challenges encountered. Endoscopy-guided placement of the catheter can overcome these difficulties. However, sometimes even with the use of endoscopy, it is difficult to advance catheter due to anatomical variants. The extreme fragility of the catheter and sensors and the high cost of this reusable device precludes the use of biopsy forceps or snare to advance the catheter. There is no literature on using accessories during endoscopy in case of difficult placement under direct visualization. We report a unique case of using Roth Net via the suction channel to advance esophageal manometry catheter into the stomach by using endoscopy

Large Scale Association Analysis Identifies Three Susceptibility Loci for Coronary Artery Disease

Genome wide association studies (GWAS) and their replications that have associated DNA variants with myocardial infarction (MI) and/or coronary artery disease (CAD) are predominantly based on populations of European or Eastern Asian descent. Replication of the most significantly associated polymorphisms in multiple populations with distinctive genetic backgrounds and lifestyles is crucial to the understanding of the pathophysiology of a multifactorial disease like CAD. We have used our Lebanese cohort to perform a replication study of nine previously identified CAD/MI susceptibility loci (LTA, CDKN2A-CDKN2B, CELSR2-PSRC1-SORT1, CXCL12, MTHFD1L, WDR12, PCSK9, SH2B3, and SLC22A3), and 88 genes in related phenotypes. The study was conducted on 2,002 patients with detailed demographic, clinical characteristics, and cardiac catheterization results. One marker, rs6922269, in MTHFD1L was significantly protective against MI (OR = 0.68, p = 0.0035), while the variant rs4977574 in CDKN2A-CDKN2B was significantly associated with MI (OR = 1.33, p = 0.0086). Associations were detected after adjustment for family history of CAD, gender, hypertension, hyperlipidemia, diabetes, and smoking. The parallel study of 88 previously published genes in related phenotypes encompassed 20,225 markers, three quarters of which with imputed genotypes The study was based on our genome-wide genotype data set, with imputation across the whole genome to HapMap II release 22 using HapMap CEU population as a reference. Analysis was conducted on both the genotyped and imputed variants in the 88 regions covering selected genes. This approach replicated HNRNPA3P1-CXCL12 association with CAD and identified new significant associations of CDKAL1, ST6GAL1, and PTPRD with CAD. Our study provides evidence for the importance of the multifactorial aspect of CAD/MI and describes genes predisposing to their etiology

Knowledge, Perceptions, and Attitudes of Medical Residents Towards Nanomedicine: Defining the Gap

© 2019, International Association of Medical Science Educators. Even though the general public opinion towards nanotechnology applications to health has been studied, medical residents’ opinions remain unknown. The purpose of this study was to evaluate the perception, knowledge, and attitude of medical residents towards nanomedicine using a 35-item questionnaire. Correlations between intrinsic factors, heuristics, and attitude towards nanomedicine were analyzed using the χ2 test. Seventy medical residents participated. Nanomedicine was perceived as a developing field in its clinical trial stages. Responsibility for nanomedicine was attributed to scientists, whereas its ethical responsibility to physicians. The majority reported not having adequate access to information. A positive attitude towards nanomedicine was correlated with higher willingness to use nanomedicine to diagnose and treat patients (p \u3c 0.05). Medical residents had a positive attitude towards nanomedicine. However, they lacked accurate knowledge in the field. Participants might have relied on availability heuristics to form their opinion. Formal education for the “handlers” of nanomedicine seems to be needed

Predictors of quality of life in patients with end-stage renal disease on hemodialysis

Marc M Saad,1 Youssef El Douaihy,1 Christine Boumitri,1 Chetana Rondla,2 Elias Moussaly,1 Magda Daoud,1 Suzanne E El Sayegh3 1Internal Medicine, Staten Island University Hospital, Staten Island, NY, 2Nephrology, Emory University Hospital, Atlanta, GA, 3Nephrology, Staten Island University Hospital, Staten Island, NY, USA Background: Assessment of quality of life (QOL) of end-stage renal disease (ESRD) patients (physical, mental, and social well-being) has become an essential tool to develop better plans of care. Objective of this study is to determine which demographic and biochemical parameters correlate with the QOL scores in patients with ESRD on hemodialysis (HD) using Kidney Disease QOL-36 surveys (KDQOL). Methods: A retrospective chart review of all ESRD patients who underwent HD at an outpatient center. The five components of the KDQOL were the primary end points of this study (burden of kidney disease, symptoms and problems, effects of kidney disease on daily life, mental component survey, and physical component survey). Scores were grouped into three categories (below average, average, and above average). In addition to demographics (age, sex, and race), the independent variables such as weight gain, number of years on dialysis, urea reduction ratio, calcium, phosphorus, parathyroid hormone, albumin, and hemoglobin in the serum were collected. Chi-square analysis for dependent variables and the nominal independent variables was used, and analysis of variance analysis was used for continuous independent variables. Ordinal regression using PLUM (polytomous universal model) method was used to weigh out possible effects of confounders. Results: The cohort size was 111 patients. Mean age was 61.8 (±15.5) years; there were more males than females (64.9% vs 35.1%), the mean time-on-dialysis at the time of the study was 4.3 (4.8) years. Approximately two-thirds of the responses on all five domains of the questionnaire ranked average when compared to the national numbers. The remainders were split between above average (20.6%) and below average (13.4%). In our cohort, no relationships were statistically significant between the five dependent variables of interest and the independent variables by chi-square- and t-test analyses. This was further confirmed by regression analysis. Of note, sex carried the strongest statistical significance (with a P-value of 0.16) as a predictor of “the burden of kidney disease on daily life” in ordinal regression. Conclusion: Prior studies have shown variables such as serum phosphate level, intradialytic weight gain, and dialysis adequacy are associated with lower KDQOL scores; however, this was not evident in our analysis likely due to smaller sample size. Larger size studies are required to better understand the predictors of QOL in ESRD patients on HD. Keywords: quality of life, end-stage renal disease, hemodialysis, metabolic profil

Acute kidney injury adjusted to volume status in critically ill patients: recognition of delayed diagnosis, restaging, and associated outcomes

Harout Yacoub,1 Leen Khoury,1 Youssef El Douaihy,1 Chadi Salmane,1 Jeanne Kamal,1 Marc Saad,2 Patricia Nasr,1 Jared Radbel,3 Elie El-Charabaty,1 Suzanne El-Sayegh1 1Department of Medicine, Staten Island University Hospital, Staten Island, NY, USA; 2Division of Renal Medicine, Emory University, Atlanta, GA, USA; 3Department of Pulmonary and Critical Care Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA Abstract: Critically ill patients receive a significant amount of fluids leading to a positive fluid balance; this dilutes serum creatinine resulting in an overestimated glomerular filtration rate. The goal of our study is to identify undiagnosed or underestimated acute kidney injury (AKI) in the intensive care unit (ICU). It will also identify the morbidity and mortality associated with an underestimated AKI. We reviewed records of patients admitted to our institution (Staten Island University Hospital) between 2012 and 2013 for more than 2 days. Patients with end stage renal disease were excluded. AKI was defined using the Acute Kidney Injury Network criteria. The following formula was used to identify and restage patients with AKI: adjusted creatinine = serum creatinine × [(hospital admission weight (kg) 0.6 + Σ (daily cumulative fluid balance (L)) / hospital admission weight × 0.6]. The primary outcome identified newly diagnosed AKI and those who were restaged. The secondary outcome identified associated morbidities. Seven-hundred and thirty-three out of 1,982 ICU records reviewed, were used. Two-hundred and fifty-seven (mean age 69.8±14.9) had AKI, out of which 15.9% were restaged using the equation. Comparison of mean by Student’s t-test showed no difference between patients who were restaged. Similarly, chi-square revealed no differences between both arms, except mean admission weight (lower in patients who were restaged), fluid balance on days 1, 2, and 3 (higher in the restaged arm), and the presence of congestive heart failure (more prevalent in the restaged arm). Of note, the mean cost of stay was US$150,562.82 vs$197,174.63 for same stage vs restaged, respectively, however, without statistical significance (P=0.74). Applying the adjustment equation showed a modest (15.9%) increase in the AKI staging slightly impacting outcomes (mortality, length, and cost of stay) without statistical significance. Keywords: acute kidney injury, volume status, adjusted creatinine level