Publications by authors named "Christine Hessler"

5 Publications

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Systematic integration of biomedical knowledge prioritizes drugs for repurposing.

Elife 2017 09 22;6. Epub 2017 Sep 22.

Biological and Medical Informatics Program, University of California, San Francisco, San Francisco, United States.

The ability to computationally predict whether a compound treats a disease would improve the economy and success rate of drug approval. This study describes Project Rephetio to systematically model drug efficacy based on 755 existing treatments. First, we constructed Hetionet (neo4j.het.io), an integrative network encoding knowledge from millions of biomedical studies. Hetionet v1.0 consists of 47,031 nodes of 11 types and 2,250,197 relationships of 24 types. Data were integrated from 29 public resources to connect compounds, diseases, genes, anatomies, pathways, biological processes, molecular functions, cellular components, pharmacologic classes, side effects, and symptoms. Next, we identified network patterns that distinguish treatments from non-treatments. Then, we predicted the probability of treatment for 209,168 compound-disease pairs (het.io/repurpose). Our predictions validated on two external sets of treatment and provided pharmacological insights on epilepsy, suggesting they will help prioritize drug repurposing candidates. This study was entirely open and received realtime feedback from 40 community members.
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http://dx.doi.org/10.7554/eLife.26726DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5640425PMC
September 2017

The Upside of Bias: A Case of Chronic Meningitis Due to in an Immunocompetent Host.

Neurohospitalist 2017 Jan 5;7(1):30-34. Epub 2016 Apr 5.

Department of Neurology, University of California, San Francisco, CA, USA; Infectious Diseases, Department of Medicine, University of California, San Francisco, CA, USA.

Chronic meningitis of unknown etiology is a vexing illness for patients and clinicians. Identification of the correct pathogen can be challenging and time consuming, leading to delays in appropriate treatment. Although is a recognized and treatable cause of chronic meningitis, neurologists and infectious diseases physicians may not regularly evaluate for infection. We describe an immunocompetent patient with chronic meningitis who partially responded to empiric fluconazole. Prompted by a recent culture-confirmed case of meningeal sporotrichosis, we tested for antibodies from the cerebrospinal fluid, which were positive. His clinical and functional status improved, and the antibody titer decreased with itraconazole therapy. Clinicians should consider in the differential diagnosis for chronic meningitis, even in immunocompetent patients, particularly when the clinical picture does not respond to standard empiric therapy.
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http://dx.doi.org/10.1177/1941874416641468DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5167090PMC
January 2017

Appreciative Inquiry and Implementation Science in Leadership Development.

J Contin Educ Nurs 2016 May;47(5):207-9

Appreciative inquiry was developed to initiate and animate change. As implementation science gains a foothold in practice settings to bridge theory, evidence, and practice, appreciative inquiry takes on new meaning as a leadership intervention and training tool. J Contin Educ Nurs. 2016;47(5):207-209.
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http://dx.doi.org/10.3928/00220124-20160419-04DOI Listing
May 2016

The AWOL tool: derivation and validation of a delirium prediction rule.

J Hosp Med 2013 Sep 7;8(9):493-9. Epub 2013 Aug 7.

Department of Neurology, University of California, San Francisco, San Francisco, California.

Background: Risk factors for delirium are well-described, yet there is no widely used tool to predict the development of delirium upon admission in hospitalized medical patients.

Objective: To develop and validate a tool to predict the likelihood of developing delirium during hospitalization.

Design: Prospective cohort study with derivation (May 2010-November 2010) and validation (October 2011-March 2012) cohorts.

Setting: Two academic medical centers and 1 Veterans Affairs medical center.

Patients: Consecutive medical inpatients (209 in the derivation and 165 in the validation cohort) over age 50 years without delirium at the time of admission.

Measurements: Delirium assessed daily for up to 6 days using the Confusion Assessment Method.

Results: The AWOL prediction rule was derived by assigning 1 point to each of 4 items assessed upon enrollment that were independently associated with the development of delirium (Age ≥ 80 years, failure to spell "World" backward, disOrientation to place, and higher nurse-rated iLlness severity). Higher scores were associated with higher rates of delirium in the derivation and validation cohorts (P for trend < 0.001 and 0.025, respectively). Rates of delirium according to score in the combined population were: 0(1/50, 2%), 1(5/141, 4%), 2(15/107, 14%), 3(10/50, 20%), and 4(7/11, 64%) (P for trend < 0.001). Area under the receiver operating characteristic curve for the derivation and validation cohorts was 0.81 (0.73-0.90) and 0.69 (0.54-0.83) respectively.

Conclusions: The AWOL prediction rule characterizes medical patients' risk for delirium at the time of hospital admission and could be used for clinical stratification and in trials of delirium prevention.
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http://dx.doi.org/10.1002/jhm.2062DOI Listing
September 2013

Develop a hospital-based nursing sabbatical program.

Nurs Manage 2006 Nov;37(11):10-2

St. Louis Children's Hospital, St. Louis, MO, USA.

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http://dx.doi.org/10.1097/00006247-200611000-00003DOI Listing
November 2006