Donna Marie Wolk

Dr. Donna Marie Wolk

Geisinger Health System, Danville, California, USA
orcid

Research Focus & Metrics

Academic Career Length

28Years (1999-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2013 in Clinical Microbiology Reviews
Verified
Journal Article
Closed access
PDF file
ACAndrew E. Clark
Andrew E. Clark
EKErin J. Kaleta
Erin J. Kaleta
AAAmit Arora
Amit Arora
DWDonna Marie Wolk
Donna Marie Wolk
SUMMARY Filarial worms cause highly morbid diseases such as elephantiasis and river blindness. Since the 1940s, researchers have conducted vaccine trials in 27 different animal models of filariasis. Although no vaccine trial in a permissive model of filariasis has provided sterilizing immunity, great strides have been made toward developing vaccines that could block transmission, decrease pathological sequelae, or decrease susceptibility to infection. In this review, we have organized, to the best of our ability, all published filaria vaccine trials and reviewed them in the context of the animal models used. Additionally, we provide information on the life cycle, disease phenotype, concomitant immunity, and natural immunity during primary and secondary infections for 24 different filaria models.

1 April 2018 in Journal of Clinical Microbiology
Verified
Journal Article
Open access
PDF file
PPPreeti Pancholi
Preeti Pancholi
KCKaren C. Carroll
Karen C. Carroll
BBBlake W. Buchan
Blake W. Buchan
RCRaymond C. Chan
Raymond C. Chan
NDNeelam Dhiman
Neelam Dhiman
DWDonna Marie Wolk
Donna Marie Wolk
We describe results from a multicenter study evaluating the Accelerate Pheno system, a first of its kind diagnostic system that rapidly identifies common bloodstream pathogens from positive blood cultures within 90 min and determines bacterial phenotypic antimicrobial susceptibility testing (AST) results within ∼7 h. A combination of fresh clinical and seeded blood cultures were tested, and results from the Accelerate Pheno system were compared to Vitek 2 results for identification (ID) and broth microdilution or disk diffusion for AST. The Accelerate Pheno system accurately identified 14 common bacterial pathogens and two Candida spp. with sensitivities ranging from 94.6 to 100%. Of fresh positive blood cultures, 89% received a monomicrobial call with a positive predictive value of 97.3%. Six common Gram-positive cocci were evaluated for ID. Five were tested against eight antibiotics, two resistance phenotypes (methicillin-resistant Staphylococcus aureus and Staphylococcus spp. [MRSA/MRS]), and inducible clindamycin resistance (MLSb). From the 4,142 AST results, the overall essential agreement (EA) and categorical agreement (CA) were 97.6% and 97.9%, respectively. Overall very major error (VME), major error (ME), and minor error (mE) rates were 1.0%, 0.7%, and 1.3%, respectively. Eight species of Gram-negative rods were evaluated against 15 antibiotics. From the 6,331 AST results, overall EA and CA were 95.4% and 94.3%, respectively. Overall VME, ME, and mE rates were 0.5%, 0.9%, and 4.8%, respectively. The Accelerate Pheno system has the unique ability to identify and provide phenotypic MIC and categorical AST results in a few hours directly from positive blood culture bottles and support accurate antimicrobial adjustment.

1 February 2014 in Annals of the American Thoracic Society
Verified
Journal Article
Closed access
JMJosh Malo
Josh Malo
CLCarmen Luraschi-Monjagatta
Carmen Luraschi-Monjagatta
DWDonna Marie Wolk
Donna Marie Wolk
RTR. Thompson
R. Thompson
CHChadi A. Hage
Chadi A. Hage
KKKenneth S. Knox
Kenneth S. Knox
Coccidioidomycosis is a common cause of community-acquired pneumonia in the southwest United States, Mexico, and South America. The disease has seen a marked increase in incidence in the western United States in the last decade and can be acquired by individuals who travel even briefly through an endemic area, presenting a diagnostic dilemma for clinicians who are not familiar with the disease. The clinical and radiographic manifestations of pulmonary coccidioidomycosis often mimic those of other causes of pneumonia. However, because treatment recommendations and the potential for chronic sequelae of acute infection differ substantially from those for bacterial community-acquired pneumonia, accurate, timely diagnosis of coccidioidomycosis is paramount. A number of diagnostic tests are available with varying sensitivity and specificity, making the approach complex. Radiographic features, although nonspecific, sometimes demonstrate patterns more suggestive of coccidioidomycosis than bacterial community-acquired pneumonias. A routine blood count may reveal eosinophilia. Serologic testing is used most widely but may be negative early in the course of disease, potentially leading to misdiagnosis with subsequent inappropriate treatment and follow-up. The sensitivity of serologic testing is lower in immunocompromised patients, a population at the highest risk for developing severe disease. When clinically appropriate, other biologic specimens, such as sputum, bronchoalveolar lavage fluid, or lung biopsies, may allow for rapid, definitive diagnosis. In light of the significantly increased incidence and complexities in diagnosis of coccidioidomycosis, we examine the diagnostic approach and provide examples of classic clinical and radiographic presentations, discuss the utility of serologic testing, and suggest algorithms that may aid in the diagnosis.

1 June 2001 in Mayo Clinic Proceedings
Verified
Journal Article
Closed access
MBMercedeh Baghai
Mercedeh Baghai
DODouglas R. Osmon
Douglas R. Osmon
DWDonna Marie Wolk
Donna Marie Wolk
LWLester E. Wold
Lester E. Wold
GHGeorge J. Haidukewych
George J. Haidukewych
EMEric L. Matteson
Eric L. Matteson

1 June 2001 in Mayo Clinic Proceedings
Verified
Journal Article
Closed access
MBMercedeh Baghai
Mercedeh Baghai
DODouglas R. Osmon
Douglas R. Osmon
DWDonna Marie Wolk
Donna Marie Wolk
LWLester E. Wold
Lester E. Wold
GHGeorge J. Haidukewych
George J. Haidukewych
EMEric L. Matteson
Eric L. Matteson

21 November 2023 in Journal of Clinical Microbiology
Verified
Journal Article
Open access
Jaime EstebanJaime Esteban
Jaime Esteban
LSLlanos Salar-Vidal
Llanos Salar-Vidal
BSBryan H. Schmitt
Bryan H. Schmitt
AWAmy Waggoner
Amy Waggoner
FLFrédéric Laurent
Frédéric Laurent
BKBart Kensinger
Bart Kensinger
The bioMérieux BIOFIRE Joint Infection (JI) Panel is a multiplex in vitro diagnostic test for the simultaneous and rapid (~1 h) detection of 39 potential pathogens and antimicrobial resistance (AMR) genes directly from synovial fluid (SF) samples. Thirty-one species or groups of microorganisms are included in the kit, as well as several AMR genes. This study, performed to evaluate the BIOFIRE JI Panel for regulatory clearance, provides data from a multicenter evaluation of 1,544 prospectively collected residual SF samples with performance compared to standard-of-care (SOC) culture for organisms or polymerase chain reaction (PCR) and sequencing for AMR genes. The BIOFIRE JI Panel demonstrated a sensitivity of 90.9% or greater for all but six organisms and a positive percent agreement (PPA) of 100% for all AMR genes. The BIOFIRE JI Panel demonstrated a specificity of 98.5% or greater for detection of all organisms and a negative percent agreement (NPA) of 95.7% or greater for all AMR genes. The BIOFIRE JI Panel provides an improvement over SOC culture, with a substantially shorter time to result for both organisms and AMR genes with excellent sensitivity/PPA and specificity/NPA, and is anticipated to provide timely and actionable diagnostic information for joint infections in a variety of clinical scenarios.