Biomedical subjects

Peter Small

Publications and source records attributed to Peter Small.

4 recordsLinked to original sources

PubMed2004

Understanding tuberculosis epidemiology using structured statistical models.

Molecular epidemiological studies can provide novel insights into the transmission of infectious diseases such as tuberculosis. Typically, risk factors for transmission are identified using traditional hypothesis-driven statistical methods such as logistic regression. However, limitations become apparent in these approaches as the scope of these studies expand to include additional epidemiological and bacterial genomic data. Here we examine the use of Bayesian models to analyze tuberculosis epidemiology. We begin by exploring the use of Bayesian networks (BNs) to identify the distribution of tuberculosis patient attributes (including demographic and clinical attributes). Using existing algorithms for constructing BNs from observational data, we learned a BN from data about tuberculosis patients collected in San Francisco from 1991 to 1999. We verified that the resulting probabilistic models did in fact capture known statistical relationships. Next, we examine the use of newly introduced methods for representing and automatically constructing probabilistic models in structured domains. We use statistical relational models (SRMs) to model distributions over relational domains. SRMs are ideally suited to richly structured epidemiological data. We use a data-driven method to construct a statistical relational model directly from data stored in a relational database. The resulting model reveals the relationships between variables in the data and describes their distribution. We applied this procedure to the data on tuberculosis patients in San Francisco from 1991 to 1999, their Mycobacterium tuberculosis strains, and data on contact investigations. The resulting statistical relational model corroborated previously reported findings and revealed several novel associations. These models illustrate the potential for this approach to reveal relationships within richly structured data that may not be apparent using conventional statistical approaches. We show that Bayesian methods, in particular statistical relational models, are an important tool for understanding infectious disease epidemiology.

Adult↗

PubMed2004

Comparative expression studies of a complex phenotype: cord formation in Mycobacterium tuberculosis.

The aggregation of mycobacteria into structures known as cords is an intrinsic property of the human tubercle bacillus. This property is thought to be determined by the lipid composition of the bacterial cell surface and may contribute to the virulence of the organism. Using microarray technology, we compared the pattern of gene expression of H37Rv, a virulent, cording strain of Mycobacterium tuberculosis, with H37Ra, an avirulent, non-cording strain derived from the same original patient isolate, under five different nutrient combinations and growth conditions. Under all of these conditions, H37Rv formed cords and H37Ra did not. By focusing our analysis only on genes that were differentially expressed under all conditions, we hoped to enrich the resulting gene list for genes associated with cording. We identified 22 genes that were consistently expressed at higher levels in H37Rv than in H37Ra under all conditions tested. Genes involved in lipid metabolism and the cell membrane were significantly enriched in our gene list, indicating that the cell wall and the cell membrane may be the major sites of difference between these two strains. This work represents a new strategy for enriching gene lists for relevant genes, which may also be applicable for other types of problems.

Culture Media↗

PubMed2002

Tuberculosis-related deaths within a well-functioning DOTS control program.

To describe the molecular epidemiology of tuberculosis (TB)-related deaths in a well-managed program in a low-HIV area, we analyzed data from a cohort of 454 pulmonary TB patients recruited between March 1995 and October 2000 in southern Mexico. Patients who were sputum acid-fast bacillus smear positive underwent clinical and mycobacteriologic evaluation (isolation, identification, drug-susceptibility testing, and IS6110-based genotyping and spoligotyping) and received treatment from the local directly observed treatment strategy (DOTS) program. After an average of 2.3 years of follow-up, death was higher for clustered cases (28.6 vs. 7%, p=0.01). Cox analysis revealed that TB-related mortality hazard ratios included treatment default (8.9), multidrug resistance (5.7), recently transmitted TB (4.1), weight loss (3.9), and having less than 6 years of formal education (2). In this community, TB is associated with high mortality rates.

Adolescent↗

PubMed2002

Acute bacterial sinusitis in adults: management in the primary care setting.

Sinus disease is inherently associated with viral upper respiratory tract infections and occurs in 90% of individuals with the common cold. Acute bacterial sinusitis occurs in 0.5 to 2% of these individuals. Although the diagnosis of acute bacterial sinusitis is usually based on physical findings, no one sign or symptom is either sensitive or specific for sinusitis. The predictive power can be significantly improved when all signs and symptoms are combined into a clinical impression. Imaging studies have not been shown to be cost effective in the initial assessment and treatment of patients in the primary care setting. Simple plain films may be indicated to resolve the diagnosis in patients with an equivocal history or to follow patients admitted to hospital with severe sinus disease. The initial management of acute sinusitis should be directed toward the relief of symptoms with a 7-day course of decongestants and mucoevacuents. For patients who fail to improve with symptomatic treatment, a 10-day course of amoxicillin is recommended. Second line antibiotics should be initiated if improvement is not seen within 72 to 96 hours.

Adult↗