ROLE OF PROSTAGLANDIN E2 IN THE REGULATION OF PANCREATIC STELLATE CELLS HYPER ACTIVITY ASSOCIATED WITH PANCREATIC CANCER

Pancreatic cancer is one of the most lethal type of cancer due to its high metastasis rate and resistance to chemotherapy. Pancreatic fibrosis is a constant pathological feature of chronic pancreatitis and the hyperactive stroma associated with pancreatic cancer. Strong evidence supports an important role of cyclooxygenase-2 (COX-2) and COX-2 generated prostaglandin E2 (PGE2) during pancreatic fibrosis. Pancreatic stellate cells (PSC) are the predominant source of extracellular matrix production (ECM), thus being the key players in both diseases. Given this background, the primary objective is to delineate the role of PGE2 on human pancreatic stellate cells (PSC) hyper activation associated with pancreatic cancer. This study showed that human PSC cells express COX-2 and synthesize high levels of PGE2. PGE2 stimulated PSC migration and invasion; expression of extra cellular matrix (ECM) genes and tissue degrading matrix metallo proteinases (MMP) genes. I further identified the PGE2 EP receptor responsible for mediating these effects on PSC. Using genetic and pharmacological approaches I identified the receptor required for PGE2 mediates PSC hyper activation. Treating PSC with Specific antagonists against EP1, EP2 and EP4, demonstrated that blocking EP4 receptor only, resulted in a complete reduction of PGE2 mediated PSC activation. Furthermore, siRNA mediated silencing of EP4, but not other EP receptors, blocked the effects of PGE2 on PSC fibrogenic activity. Further examination of the downstream pathway modulators revealed that PGE2 stimulation of PSC involved CREB and not AKT pathway. The regulation of PSC by PGE2 was further investigated at the molecular level, with a focus on COL1A1. Collagen I deposition by PSC is one of the most important events in pancreatic cancer. I found that PGE2 regulates PSC through activation of COL1A1 expression and transcriptional activity. Downstream of PGE2, silencing of EP4 receptor caused a complete reduction of COL1A1 expression and activity supporting the role of EP4 mediated stimulation of PSC. Taken together, this data indicate that PGE2 regulates PSC via EP4 and suggest that EP4 can be a better therapeutic target for pancreatic cancer to reduce the extensive stromal reaction, possibly in combination with chemotherapeutic drugs can further kill pancreatic cancer cells.

DEFINING THE ROLE OF EGFR ACETYLATION IN CELLULAR PROCESSES: CLINICAL IMPLICATIONS

Epidermal growth factor receptor (EGFR) is a cell membrane tyrosine kinase receptor and plays a pivotal role in regulating cell growth, differentiation, cell cycle, and tumorigenesis. Deregulation of EGFR causes many diseases including cancers. Intensive investigation of EGFR alteration in human cancers has led to profound progress in developing drugs to target EGFR-mediated cancers. While exploring possible synergistic enhancement of therapeutic efficacy by combining EGFR tyrosine kinase inhibitors (TKI) with other anti-cancer agents, we observed that suberoylanilide hydroxamic acid (SAHA, a deacetylase inhibitor) enhanced TKI-induced cancer cell death, which further led us to question whether SAHA-mediated sensitization to TKI was associated with EGFR acetylation. What we know so far is that SAHA can inhibit class I and II histone deacetylases (HDACs), which could possibly preserve acetylation of underlying HDAC-targeted proteins including both histone and non-histone proteins. In addition, it has been reported that an HDAC inhibitor, TSA, enhanced EGFR phosphorylation in ovarian cancer cells. EGFR acetylation has also been reported to play a role in the regulation of EGFR endocytosis recently. These observations indicate that there might be an intrinsic correlation between acetylation and phosphorylation of EGFR. In other words, the interplay between EGFR acetylation and phosphorylation may contribute to HDAC inhibitors (HDACi)-augmented EGFR phosphorylation. In this investigation, we showed that CBP acetyltransferase acetylated EGFR in vivo. In response to EGF stimulation, CBP rapidly translocated from the nucleus to the cytoplasm. We also demonstrated protein-protein interaction between CBP and EGFR as well as the enhancement of EGFR acetylation by CBP. Moreover, EGFR acetylation enhanced EGFR tyrosine phosphorylation and augmented its association with Src kinase. Acetylation-deficient EGFR mutant (EGFR-K3R) significantly reduced the function and activity of EGFR. Furthermore, ectopic expression of EGFR-K3R mutant abrogated its ability to respond to EGF-induced cell proliferation, DNA synthesis, and anchorage-independent growth using cell-based assays and tumor growth in nude mice. In addition, we demonstrated that EGFR expression was associated with SAHA resistance in the treatment of cancer cells that overexpress EGFR. The knockdown of EGFR in MDA-MB-468 breast cancer cells could sensitize the cells to respond to SAHA. The overexpression of EGFR in SAHA-sensitive MDA-MB-453 breast cancer cells rendered the cells resistant to SAHA. Together, these findings suggest that EGFR plays an important role in SAHA resistance in breast carcinoma cells that we tested. The combination therapy of HDACi with TKI has been proposed for treating cancers with aberrant expression of EGFR. The evidence from pre-clinical or clinical trials demonstrated significant enhancement of therapeutic efficacy by using such a combination therapy. Our in vivo study also demonstrated that the combination of SAHA and TKI for the treatment of breast cancer significantly reduced tumor burden compared with either SAHA or TKI alone. The significance of our study elucidated another possible underlying molecular mechanism by which HDACi mediated sensitization to TKI. Our results unveiled a critical role of EGFR acetylation that regulates EGFR tyrosine phosphorylation and may further provide an experiment-based rationale for combinatorial targeted therapy.

Surveillance of antimicrobial resistance of Streptococcus pneumoniae and Haemophilus influenzae in children with pneumonia

In order to identify optimal therapy for children with bacterial pneumonia, Pakistan's ARI Program, in collaboration with the National Institute of Health (NIH), Islamabad, undertook a national surveillance of antimicrobial resistance in S. pneumoniae and H. influenzae. The project was carried out at selected urban and peripheral sites in 6 different regions of Pakistan, in 1991–92. Nasopharyngeal (NP) specimens and blood cultures were obtained from children with pneumonia diagnosed in the outpatient clinic of participating facilities. Organisms were isolated by local hospital laboratories and sent to NIH for confirmation, serotyping and antimicrobial susceptibility testing. Following were the aims of the study (i) to determine the antimicrobial resistance patterns of S. pneumoniae and H. influenzae in children aged 2–59 months; (ii) to determine the ability of selected laboratories to identify and effectively transport isolates of S. pneumoniae and H. influenzae cultured from nasopharyngeal and blood specimens; (iii) to validate the comparability of resistance patterns for nasopharyngeal and blood isolates of S. pneumoniae and H. influenzae from children with pneumonia; and (iv) to examine the effect of drug resistance and laboratory error on the cost of effectively treating children with ARI. ^ A total of 1293 children with ARI were included in the study: 969 (75%) from urban areas and 324 (25%) from rural parts of the country. Of 1293, there were 786 (61%) male and 507 (39%) female children. The resistance rate of S. pneumoniae to various antibiotics among the urban children with ARI was: TMP/SMX (62%); chloramphenicol (23%); penicillin (5%); tetracycline (16%); and ampicillin/amoxicillin (0%). The rates of resistance of H. influenzae were higher than S. pneumoniae: TMP/SMX (85%); chloramphenicol (62%); penicillin (59%); ampicillin/amoxicillin (46%); and tetracycline (100%). There were similar rates of resistance to each antimicrobial agent among isolates from the rural children. ^ Of a total 614 specimens that were tested for antimicrobial susceptibility, 432 (70.4%) were resistant to TMP/SMX and 93 (15.2%) were resistant to antimicrobial agents other than TMP/SMX viz. ampicillin/amoxicillin, chloramphenicol, penicillin, and tetracycline. ^ The sensitivity and positive predictive value of peripheral laboratories for H. influenzae were 99% and 65%, respectively. Similarly, the sensitivity and positive predictive value of peripheral laboratory tests compared to gold standard i.e. NIH laboratory, for S. pneumoniae were 99% and 54%, respectively. ^ The sensitivity and positive predictive value of nasopharyngeal specimens compared to blood cultures (gold standard), isolated by the peripheral laboratories, for H. influenzae were 88% and 11%, and for S. pneumoniae 92% and 39%, respectively. (Abstract shortened by UMI.)^

AN APPROACH TO THE CHARACTERIZATION OF FIBRONECTIN-INTERACTION WITH MAMMALIAN CELLS

Cell adhesion is a fundamentally important process which has been implicated in morphogenesis, metastasis and wound healing. Fibronectin (Fn), a large glycoprotein present in body fluids, the extracellular matrix, and on the cell surface, mediates adhesion of fibroblastic cells. To study the interaction of Fn with Chinese Hamster Cell (CHO) cell membranes, latex beads coated with H('3)-Fn (Fn-beads) were used as surface probes. Binding of Fn-beads was independent of temperature, divalent cations, and metabolic activity. Identification of fibronectin-receptors has been problematical. To study Fn binding components, Fn-beads were pre-incubated with purified glycosaminoglycans (GAGs) and glycolipids. Among the GAGs tested, heparin and heparan sulfate blocked bead binding. Only sialylated glycolipids, GT(,1) and GD(,1) were inhibitory; however, neuraminidase treatment of cells had no effect. It was further shown that Fn-bead binding could be blocked by pre-treating cells with papain. Furthermore, papain digestion releases cellular material which blocks Fn-bead-cell binding. Beads coated with a fragment of Fn which binds to cells but not heparin (F105) were also blocked by soluble papain digests. It was observed that the ability of F105-beads to bind to CHO cells was dependent on surface charge as F105 on uncharged beads did not bind to cells; whereas, F105 on positive or negative beads displayed cell binding activity. The active component in the papain digests was apparently macromolecular (i.e. non-dialysable) and heat stable (i.e. 100(DEGREES)C for 15 min.). This suggested the inhibitory factor is more likely a glycopeptide, rather than a GAG or glycolipid. The findings of this research can be summarized as follows: (1) the expression of cell binding of Fn and Fn fragments can be modulated by the chemical nature of the surface used for adsorption; (2) factors can be released by proteolytic digestion which block Fn and Fn-fragment bead binding; and (3) since bead binding can be done under conditions which reflect initial Fn-cell interaction, it seems likely that the component(s) identified in this way may play a direct role in the recognition phases of cell adhesion to Fn. ^

Bayesian adaptive designs for drug combinations in early phase clinical trials

Treating patients with combined agents is a growing trend in cancer clinical trials. Evaluating the synergism of multiple drugs is often the primary motivation for such drug-combination studies. Focusing on the drug combination study in the early phase clinical trials, our research is composed of three parts: (1) We conduct a comprehensive comparison of four dose-finding designs in the two-dimensional toxicity probability space and propose using the Bayesian model averaging method to overcome the arbitrariness of the model specification and enhance the robustness of the design; (2) Motivated by a recent drug-combination trial at MD Anderson Cancer Center with a continuous-dose standard of care agent and a discrete-dose investigational agent, we propose a two-stage Bayesian adaptive dose-finding design based on an extended continual reassessment method; (3) By combining phase I and phase II clinical trials, we propose an extension of a single agent dose-finding design. We model the time-to-event toxicity and efficacy to direct dose finding in two-dimensional drug-combination studies. We conduct extensive simulation studies to examine the operating characteristics of the aforementioned designs and demonstrate the designs' good performances in various practical scenarios.^

Liposome -mediated delivery of all-{\it trans\/}-retinoic acid

Because of its antiproliferative and differentiation-inducing properties, all-trans-retinoic acid (ATRA) has been used as a chemopreventive and therapeutic agent, for treatment various cancers including squamous cell carcinomas (SCCs). Long-term treatment with ATRA is associated with toxic effects in patients leading to acute or chronic hypervitaminosis syndrome. Moreover, prolonged treatment with oral ATRA leads to acquired resistance to the differentiation-inducing effects of the drug. This resistance is attributed to the induction of cytochrome P-450-dependent catabolic enzymes that lead to accelerated ATRA metabolism and decline in circulating levels. Most of these problems could be circumvented by incorporating ATRA in liposomes (L-ATRA) which results in sustained drug release, decrease in drug-associated toxicity, and protection of the drug from metabolism in the host. Liposomes also function as a solubilization matrix enabling lipophilic drugs like ATRA to be aerosolized and delivered directly to target areas in the aerodigestive tract and lungs. Of the 14 formulations tested, the positively-charged liposome, DPPC:SA (9:1, w/w) was found to be most effective in interacting with SCC cell lines. This, L-ATRA formulation was stable in the presence of serum proteins and buffered the toxic effects of the drug against several normal and malignant cell lines. The positive charge attributed by the presence of SA was critical for increased uptake and retention of L-ATRA by SCC cell lines and tumor spheroids. L-ATRA was highly effective in mediating differentiation in normal and transformed epithelial cells. Moreover, liposomal incorporation significantly reduced the rate of ATRA metabolism by cells and isolated liver microsomes. In vivo studies revealed that aerosol delivery is an effective way of administering L-ATRA, in terms of its safety and retention by lung tissue. The drug so delivered, is biologically active and had no toxic effects in mice. From these results, we conclude that liposome-incorporation is an excellent way of delivering ATRA to target tissues. The results obtained may have important clinical implications in treating patients with SCCs of the aerodigestive tract. ^

Role played by serum, a biological cue, in the adherence of Enterococcus faecalis to extracellular matrix proteins, collagen, fibrinogen, and fibronectin.

BACKGROUND: Most previous studies have found that Enterococcus faecalis isolates do not show significant adherence to fibronectin and fibrinogen. METHODS: The influence of various conditions on E. faecalis adherence to extracellular matrix (ECM) proteins was evaluated using a radiolabeled-cell adherence assay. RESULTS: Among the conditions studied, growth in 40% horse serum (a biological cue with potential clinical relevance) elicited adherence of all 46 E. faecalis strains tested to fibronectin and fibrinogen but not to elastin; adherence levels were independent of strain source, and adherence was eliminated by treating cells with trypsin. As previously reported, serum also elicited adherence to collagen. Although prolonged exposure to serum during growth was needed for enhancement of adherence to fibrinogen, brief exposure (<5 >min) to serum had an immediate, although partial, enhancing effect on adherence to fibronectin and, to a lesser extent, collagen; pretreatment of bacteria with chloramphenicol did not decrease this enhanced adherence to fibronectin and collagen, indicating that protein synthesis is not required for the latter effect. CONCLUSION: Taken together, these data suggest that serum components may serve (1) as host environmental stimuli to induce the production of ECM protein-binding adhesin(s), as previously seen with collagen adherence, and also (2) as activators of adherence, perhaps by forming bridges between ECM proteins and adhesins.

IMMUNE MODULATION OF THE MYCOBACTERIUM TUBERCULOSIS GRANULOMATOUS RESPONSE

Tuberculosis (TB) remains a major public health burden. The immunocompetant host responds to Mycobacterium tuberculosis (MTB) infection by the formation of granulomas, which initially prevent uncontrolled bacterial proliferation and dissemination. However, increasing evidence suggests that granuloma formation promotes persistence of the organism by physically separating infected cells from effector lymphocytes and by inducing a state of non-replicating persistence in the bacilli, making them resistant to the action of antibiotics. Additionally, immune-mediated tissue destruction likely facilitates disease transmission. The granulomatous response is in part due to mycobacterial glycolipid antigens. Therefore, studies were first undertaken to determine the innate mechanisms of mycobacterial cord factor trehalose-6’6-dimycolate (TDM) on granuloma formation. Investigations using knock-out mice suggest that TNF-a is involved in the initiation of the granulomatous response, complement factor C5a generates granuloma cohesiveness, and IL-6 is necessary for maintenance of an established granulomatous responses. Studies were next performed to determine the ability of lactoferrin to modulate the immune response and pathology to mycobacterial cord factor. Lactoferrin is an iron-binding glycoprotein with immunomodulatory properties that decrease tissue damage and promote Th1 responses. Mice challenged with TDM and treated with lactoferrin had decreased size and numbers of granulomas at the peak of the granulomatous response, accompanied by increased IL-10 and TGF-b production. Finally, the ability of lactoferrin to serve as a novel therapeutic for the treatment of TB was performed by aerosol challenging mice with MTB and treating them with lactoferrin added to the drinking water. Mice given tap water had lung log10 CFUs of 7.5 ± 0.3 at week 3 post-infection. Lung CFUs were significantly decreased in mice given lactoferrin starting the day of infection (6.4 ± 0.7) and mice started therapeutically on lactoferrin at day 7 after established infection (6.5 ± 0.4). Total lung inflammation in lactoferrin treated mice was significantly decreased, with fewer areas of macrophages, increased total lymphocytes, and increased numbers of CD4+ and CD8+ cells. The lungs of lactoferrin treated mice had increased CD4+ IFN-g+ cells and IL-17 producing cells on ELISpot analysis. It is hypothesized that lactoferrin decreases bacterial burden during MTB infection by early induction of Th1 responses.

EPSTEIN-BARR VIRUS TRANSFORMATION OF B LYMPHOCYTE SUBPOPULATIONS

Epstein-Barr virus is a herpes virus distinguished by its remarkable specificity for the B lymphocyte of humans and certain other primates. Although the transformation process is very efficient, is has become clear that only a fraction of B lymphocytes is susceptible. Therefore the question may be raised if transformation is related to B cell stage of activation. B cells were purified from peripheral blood mononuclear cells by the removal of monocytes using elutriation and sheep red blood cell rosetting to remove T cells. Retesting B cells were purified using discontinuous Percoll gradients. Activation of resting cells for 24 hours with anti-mu or Staphylococcus aureus Cowan I (SAC) resulted in transition of susceptible cells into the G(,1) phase of the cell cycle as shown by an increase in cell size, an increase in uridine incorporation and an increase in sensitivity to B cell growth factor (BCGF). Entry into S phase was achieved by extending the period of activation to 48-96 hr as shown by an increase in thymidine incorporation. By this criterion, SAC activated cells entered S phase on day 2 and anti-mu treated cells on day 3. Control (G(,0)) cells and cells activated for varying lengths of time (G(,1), G(,1) plus S) were exposed to EBV and plated in a limiting dilution assay to determine the frequency of EBV-transformable cells. Control cells and cells activated for 24 hr had a precursor frequency of 1% to 2%. With continued activation, however, precursor frequency decreased as a function of the duration of activation. The decrease in frequency of transformable cells correlated with the entry of the population into S phase. The transformation frequency in the SAC-treated population was reduced twenty-fold on day 4, whereas in the anti-mu treated population it was reduced ten-fold. Treating cells with BCGF in conjunction with low concentrations of anti-mu decreased the transformation frequency to levels lower than anti-mu alone, further suggesting that entry into S phase is accompanied by a reduction in transformability. These results indicate that resting B cells are highly susceptible to transformation and that with in vitro activation into the cell cycle B cells become progressively insensitive to EBV. ^

Retrospective study of prevalence of Community Associated Methicillin Resistant Staphylococcus Aureus (CA-MRSA) seen in Texas MedClinics, San Antonio, TX from April 2006-August 2009

Purpose. To evaluate the presence of Community Associated–Methicillin Resistant Staphylococcus Aureus, CA-MRSA, in abscesses and skin and soft tissue infections presenting at 9 urgent care clinics in San Antonio, TX. ^ Methods. During the 40-month retrospective study (April 2006 to August 2009), wound cultures collected in 9 urgent care centers were evaluated for MRSA growth, antibiotics prescribed, follow up wound care, and antibiotic prescribing habits by physicians for all patients presenting with abscesses and skin/soft tissue infections. ^ Results. Across 9 urgent care centers in San Antonio, TX, 36,797 abscesses and cases of skin and soft tissue infections were treated during 40 months. Of the 36,797 cases, 9290 patients had wound cultures sent with 5,630 cultures sent to Texas MedClinic’s primary lab. Of the 5630 cultures sent to their primary lab, this reflected a prevalence of 4727 (84 %) cultures were positive for MRSA. Of the 9290 patients who had a wound culture sent (April 10th, 2006 to August 31st, 2009), a total of 4,307 antibiotics were prescribed. The top five antibiotics prescribed for CA-MRSA were Bactrim (55.5%), Clindamycin (18.4%), Bactroban (5%), Amoxicillin (3.5%), and Doxycycline (3%) representing 85.4% of the antibiotics prescribed. 8809/9290 (94.8%) of patients required no more than 3 follow up visits. Of the 33 physicians working full time during the entire study period, 29/33 (87.8%) of the physicians were family medicine physicians and represented varied prescribing rates of antibiotics between 11-76% with 26/33 (78.8%) of physicians prescribing antibiotics greater than 40% of the time.^ Conclusions. Abscesses and soft tissue infections are a common presenting complaint to urgent care centers. This study reveals that antibiotic-prescribing practices can be improved with physician education since this high prevalence was not known previously. Also, treating abscesses with limited packing has been shown to be a viable option in this particular circumstance and would be open field for additional clinical research. Due to the high prevalence of CA-MRSA skin and soft tissue infections among patients presenting to urgent care centers presumptive treatment for MRSA is indicated. Increasing levels of resistance to penicillin antibiotics is concerning and warrants alternative antibiotic management strategies.^

Bayesian Adaptive Designs for Early Phase Clinical Trials

My dissertation focuses mainly on Bayesian adaptive designs for phase I and phase II clinical trials. It includes three specific topics: (1) proposing a novel two-dimensional dose-finding algorithm for biological agents, (2) developing Bayesian adaptive screening designs to provide more efficient and ethical clinical trials, and (3) incorporating missing late-onset responses to make an early stopping decision. Treating patients with novel biological agents is becoming a leading trend in oncology. Unlike cytotoxic agents, for which toxicity and efficacy monotonically increase with dose, biological agents may exhibit non-monotonic patterns in their dose-response relationships. Using a trial with two biological agents as an example, we propose a phase I/II trial design to identify the biologically optimal dose combination (BODC), which is defined as the dose combination of the two agents with the highest efficacy and tolerable toxicity. A change-point model is used to reflect the fact that the dose-toxicity surface of the combinational agents may plateau at higher dose levels, and a flexible logistic model is proposed to accommodate the possible non-monotonic pattern for the dose-efficacy relationship. During the trial, we continuously update the posterior estimates of toxicity and efficacy and assign patients to the most appropriate dose combination. We propose a novel dose-finding algorithm to encourage sufficient exploration of untried dose combinations in the two-dimensional space. Extensive simulation studies show that the proposed design has desirable operating characteristics in identifying the BODC under various patterns of dose-toxicity and dose-efficacy relationships. Trials of combination therapies for the treatment of cancer are playing an increasingly important role in the battle against this disease. To more efficiently handle the large number of combination therapies that must be tested, we propose a novel Bayesian phase II adaptive screening design to simultaneously select among possible treatment combinations involving multiple agents. Our design is based on formulating the selection procedure as a Bayesian hypothesis testing problem in which the superiority of each treatment combination is equated to a single hypothesis. During the trial conduct, we use the current values of the posterior probabilities of all hypotheses to adaptively allocate patients to treatment combinations. Simulation studies show that the proposed design substantially outperforms the conventional multi-arm balanced factorial trial design. The proposed design yields a significantly higher probability for selecting the best treatment while at the same time allocating substantially more patients to efficacious treatments. The proposed design is most appropriate for the trials combining multiple agents and screening out the efficacious combination to be further investigated. The proposed Bayesian adaptive phase II screening design substantially outperformed the conventional complete factorial design. Our design allocates more patients to better treatments while at the same time providing higher power to identify the best treatment at the end of the trial. Phase II trial studies usually are single-arm trials which are conducted to test the efficacy of experimental agents and decide whether agents are promising to be sent to phase III trials. Interim monitoring is employed to stop the trial early for futility to avoid assigning unacceptable number of patients to inferior treatments. We propose a Bayesian single-arm phase II design with continuous monitoring for estimating the response rate of the experimental drug. To address the issue of late-onset responses, we use a piece-wise exponential model to estimate the hazard function of time to response data and handle the missing responses using the multiple imputation approach. We evaluate the operating characteristics of the proposed method through extensive simulation studies. We show that the proposed method reduces the total length of the trial duration and yields desirable operating characteristics for different physician-specified lower bounds of response rate with different true response rates.

Biomedical informatics applications for epilepsy management: A systematic review

Epilepsy is a very complex disease which can have a variety of etiologies, co-morbidities, and a long list of psychosocial factors4. Clinical management of epilepsy patients typically includes serological tests, EEG's, and imaging studies to determine the single best antiepileptic drug (AED). Self-management is a vital component of achieving optimal health when living with a chronic disease. For patients with epilepsy self-management includes any necessary actions to control seizures and cope with any subsequent effects of the condition9; including aspects of treatment, seizure, and lifestyle. The use of computer-based applications can allow for more effective use of clinic visits and ultimately enhance the patient-provider relationship through focused discussion of determinants affecting self-management. ^ The purpose of this study is to conduct a systematic literature review on informatics application in epilepsy self-management in an effort to describe current evidence for informatics applications and decision support as an adjunct to successful clinical management of epilepsy. Each publication was analyzed for the type of study design utilized. ^ A total of 68 publications were included and categorized by the study design used, development stage, and clinical domain. Descriptive study designs comprised of three-fourths of the publications and indicate an underwhelming use of prospective studies. The vast majority of prospective studies also focused on clinician use to increase knowledge in treating patients with epilepsy. ^ Due to the chronic nature of epilepsy and the difficulty that both clinicians and patients can experience in managing epilepsy, more prospective studies are needed to evaluate applications that can effectively increase management activities. Within the last two decades of epilepsy research, management studies have employed the use of biomedical informatics applications. While the use of computer applications to manage epilepsy has increased, more progress is needed.^

Outcomes and cost effectiveness of treating type 2 diabetes with a nurse case manager following treatment algorithms versus primary care physicians

Background. Diabetes places a significant burden on the health care system. Reduction in blood glucose levels (HbA1c) reduces the risk of complications; however, little is known about the impact of disease management programs on medical costs for patients with diabetes. In 2001, economic costs associated with diabetes totaled $100 billion, and indirect costs totaled $54 billion. ^ Objective. To compare outcomes of nurse case management by treatment algorithms with conventional primary care for glycemic control and cardiovascular risk factors in type 2 diabetic patients in a low-income Mexican American community-based setting, and to compare the cost effectiveness of the two programs. Patient compliance was also assessed. ^ Research design and methods. An observational group-comparison to evaluate a treatment intervention for type 2 diabetes management was implemented at three out-patient health facilities in San Antonio, Texas. All eligible type 2 diabetic patients attending the clinics during 1994–1996 became part of the study. Data were obtained from the study database, medical records, hospital accounting, and pharmacy cost lists, and entered into a computerized database. Three groups were compared: a Community Clinic Nurse Case Manager (CC-TA) following treatment algorithms, a University Clinic Nurse Case Manager (UC-TA) following treatment algorithms, and Primary Care Physicians (PCP) following conventional care practices at a Family Practice Clinic. The algorithms provided a disease management model specifically for hyperglycemia, dyslipidemia, hypertension, and microalbuminuria that progressively moved the patient toward ideal goals through adjustments in medication, self-monitoring of blood glucose, meal planning, and reinforcement of diet and exercise. Cost effectiveness of hemoglobin AI, final endpoints was compared. ^ Results. There were 358 patients analyzed: 106 patients in CC-TA, 170 patients in UC-TA, and 82 patients in PCP groups. Change in hemoglobin A1c (HbA1c) was the primary outcome measured. HbA1c results were presented at baseline, 6 and 12 months for CC-TA (10.4%, 7.1%, 7.3%), UC-TA (10.5%, 7.1%, 7.2%), and PCP (10.0%, 8.5%, 8.7%). Mean patient compliance was 81%. Levels of cost effectiveness were significantly different between clinics. ^ Conclusion. Nurse case management with treatment algorithms significantly improved glycemic control in patients with type 2 diabetes, and was more cost effective. ^