Faculty Bibliography

OBJECTIVES/OBJECTIVE:To compare the clinical outcomes of patients who did and did not receive palliative care consultation among those who experienced out-of-hospital cardiac arrest and underwent therapeutic hypothermia. METHODS:We identified patients at a single academic medical center who had undergone therapeutic hypothermia after out-of-hospital cardiac arrest between 2009 and 2013. We performed a retrospective chart review for demographic data, hospital and critical care length of stay, and clinical outcomes of care. RESULTS:We reviewed the charts of 62 patients, of which 35 (56%) received a palliative care consultation and 27 (44%) did not. Palliative care consultation occurred an average of 8.3 days after admission. Patients receiving palliative care consultation were more likely to have a do-not-resuscitate (DNR) order placed (odds ratio: 2.3, P < .001). The mean length of stay in the hospital was similar for patients seen by palliative care or not (16.7 vs 17.1 days, P = .90). Intensive care length of stay was also similar (11.3 vs 12.6 days, P = .55). CONCLUSIONS:Palliative care consultation was underutilized and utilized late in this cohort. Palliative consultation was associated with DNR orders but did not affect measures of utilization such as hospital and intensive care length of stay.

AIMS/OBJECTIVE:Methadone has been associated with QTc prolongation and ventricular arrhythmias but the prevalence of QTc prolongation and association with ventricular arrhythmias remains unclear. We investigated this in our inner city urban community (Bronx, New York) that has a large number of patients on methadone. METHODS:Telemetry records, nursing documentation and electronic charts of 291 patients spanning856 encounters were evaluated. QT was manually measured from ECG utilizing standardized QT measurement guidelines and was corrected for heart rate using Hodges formula. QTc >470 ms in males and >480 ms in females was considered to be prolonged. RESULTS:Patients had prolonged QTc, QTc >500 ms and ventricular arrhythmias during 25.6%, 14.1% and 3.4% of encounters, respectively. There was a very weak dose dependent relationship between methadone dose and QTc (Spearman's rho = 0.09).In addition to methadone, patients were on at least one QT prolonging drugs during 39% of the encounters. Patients who were receiving two interacting drugs in addition to methadone had the highest prevalence (29%) of QTc prolongation. CONCLUSION/CONCLUSIONS:Although the prevalence of QTc prolongation among patients on methadone therapy is high, the prevalence of ventricular arrhythmia is relatively low. Hospitalized patients on sustained methadone therapy are frequently on multiple additional QTc prolonging drugs. There is no significant dose dependent relationship between methadone dose and QTc. However, the concurrent use of methadone and interacting drugs lead to an increased prevalence of QTc prolongation.

BACKGROUND: Sera from lung cancer patients contain autoantibodies that react with tumor associated antigens (TAAs) that reflect genetic over-expression, mutation, or other anomalies of cell cycle, growth, signaling, and metabolism pathways. METHODS: We performed immunoassays to detect autoantibodies to ten tumor associated antigens (TAAs) selected on the basis of previous studies showing that they had preferential specificity for certain cancers. Sera examined were from lung cancer patients (22); smokers with ground-glass opacities (GGOs) (46), benign solid nodules (55), or normal CTs (35); and normal non-smokers (36). Logistic regression models based on the antibody biomarker levels among the high risk and lung cancer groups were developed to identify the combinations of biomarkers that predict lung cancer in these cohorts. RESULTS: Statistically significant differences in the distributions of each of the biomarkers were identified among all five groups. Using Receiver Operating Characteristic (ROC) curves based on age, c-myc, Cyclin A, Cyclin B1, Cyclin D1, CDK2, and survivin, we obtained a sensitivity = 81% and specificity = 97% for the classification of cancer vs smokers(no nodules, solid nodules, or GGO) and correctly predicted 31/36 healthy controls as noncancer. CONCLUSION: A pattern of autoantibody reactivity to TAAs may distinguish patients with lung cancer versus smokers with normal CTs, stable solid nodules, ground glass opacities, or normal healthy never smokers

BACKGROUND & AIMS/OBJECTIVE:Although multiple studies have focused on Helicobacter pylori, little is known about the mucosa-associated flora of the colon. The aim of this study was to detect bacteria directly in colonic mucosa from patients screened for colorectal cancer. METHODS:Bacteria were quantified with the polymerase chain reaction and identified by comparative sequence analysis in colonoscopic biopsy specimens from 31 asymptomatic and 34 symptomatic controls with normal colonoscopic findings, 29 patients with colonic adenoma, and 31 patients with colorectal carcinoma. In 41 patients, intra- and extracellular location of bacteria was confirmed with the gentamicin protection assay. RESULTS:No bacteria were detected in biopsy specimens from 97% of asymptomatic and 69% of symptomatic controls. In contrast, bacterial concentrations of 10(3)-10(5) colony-forming units per microliter were detected in biopsy specimens from both malignant and macroscopically normal tissue in 90% and 93% of patients with adenoma and carcinoma, respectively. E. coli and coli-like bacteria were shown to colonize the colonic mucosa in 82% of these patients. The gentamicin protection assay indicated that E. coli was partially intracellular in 87% of patients with adenoma and carcinoma and in none of the controls. CONCLUSIONS:The colonic mucosa of patients with colorectal carcinoma but not normal colonic mucosa is colonized by intracellular E. coli.

The role of bacteria in gallstone formation could not be conclusively evaluated until bacterial presence or absence in a stone was consistently shown. Cultural bacteriologic investigations at the time of cholecystectomy, however, led to the assumption that cholesterol gallstones were free of bacteria. In this study, we used a culture independent, molecular genetic approach to detect, quantify, and identify bacteria in cholesterol gallstones from 100 patients at the time of cholecystectomy and 6 months following. Bacterial growth was recorded in the culture in 9 of 100 gallstones; bacterial DNA, however, was detected in 82 of 91 sterile gallstones. High concentrations corresponding to between 10(6) to 10(7) bacteria/g were detected in 11 stones and low concentrations of 10(5) bacteria/g were detected in 71 sterile stones. The infection in stones with a positive bacterial culture was characterized by the predominance of single bacterial sequence(s) of the bacteria cultured. A similar predominance, indicating a recent infection, was found in sterile gallstones with low DNA concentrations. A high diversity of non-repeating bacterial sequences, possibly arising from previous overlapping infections, was found in sterile gallstones with high concentrations of bacterial DNA. After 6 months concentrations of bacterial DNA fell significantly in all groups of gallstones. As bacterial DNA is quickly destroyed upon storage, but is nevertheless readily found in most gallstones at the time of cholecystectomy, there must be a mechanism by which it is replenished. One such mechanism is the frequently reoccurring, possibly self-terminating infection and another one is the permanent colonization of the gallstone with bacteria at low concentrations. Both can promote cholecystolithiasis.