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Michael E Kimerling

Publications and source records attributed to Michael E Kimerling.

8 recordsLinked to original sources
PubMed2005

Long-term molecular analysis of tuberculosis strains in alabama, a state characterized by a largely indigenous, low-risk population.

With a tuberculosis case detection rate of 5.9 per 100,000 population in 2001, Alabama ranked twelfth highest in the United States. However, cases among foreign-born and human immunodeficiency virus-infected individuals remain low in Alabama. To understand the endemic statewide disease pattern, tuberculosis strains were studied for clustering in a long-term population-based study from January 1994 to May 2000. IS6110 restriction fragment length polymorphism analysis was performed for 1,834 strains. Spoligotyping was used as a secondary typing method for the 37% of isolates displaying a restriction fragment length polymorphism pattern with <6 IS6110 copies. A total of 721 (41%) patients provided isolates that composed 114 clusters, each containing isolates from 2 to 136 patients, suggesting that recent transmission accounted for 35% of tuberculosis cases. Demographic, behavioral, and clinical characteristics of patients with clustered versus nonclustered isolates stratified by low-copy-number strains (<6 IS6110 copies) versus high-copy-number strains (> or =6 IS6110 copies) were evaluated. Younger age, black race, a history of alcohol abuse, and homelessness were predictors of clustering of low-copy-number, strains and younger age, urban residency, alcohol abuse, homelessness, noninjection drug use, and a history of incarceration and/or cavitary disease were predictors of clustering of high-copy-number strains. By identifying local characteristics of tuberculosis clustering through molecular fingerprinting, control programs can distribute their limited resources to impact the transmission of tuberculosis in high-risk populations and evaluate strain distribution across geographical areas.

Adult↗
PubMed2002

A decision tree for tuberculosis contact investigation.

The University of Alabama at Birmingham and the Alabama Department of Public Health recently developed a logistic regression model showing those variables that are most likely to predict a positive tuberculin skin test in contacts of tuberculosis cases. However, translating such a model into field application requires a stepwise approach. This article describes a decision tree developed to assist public health workers in determining which contacts are most likely to have a positive tuberculin skin test. The Classification and Regression Tree analysis was performed on 292 consecutive cases and their 2,941 contacts seen by the Alabama Department of Public Health from January 1, 1998, to October 15, 1998. Several decision trees were developed and were then tested using prospectively collected data from 366 new tuberculosis cases and their 3,162 contacts from October 15, 1998, to April 30, 2000. Testing showed the trees to have sensitivities of 87-94%, specificities of 22-28%, and false-negative rates between 7 and 10%. The use of the decision trees would decrease the number of contacts investigated by 17-25% while maintaining a false-negative rate that was close to that of the presumed background rate of latent tuberculosis infection in the state of Alabama.

Adult↗
PubMed2002

Predictive model to identify positive tuberculosis skin test results during contact investigations.

CONTEXT: Budgetary constraints in tuberculosis (TB) control programs require streamlining contact investigations without sacrificing disease control. OBJECTIVE: To develop more efficient methods of TB contact investigation by creating a model of TB transmission using variables that best predict a positive tuberculin skin test among contacts of an active TB case. DESIGN, SETTING, AND SUBJECTS: After standardizing the interview and documentation process, data were collected on 292 consecutive TB cases and their 2941 contacts identified by the Alabama Department of Public Health between January and October 1998. Generalized estimating equations were used to create a model for predicting positive skin test results in contacts of active TB cases. The model was then validated using data from a prospective cohort of 366 new TB cases and their 3162 contacts identified between October 1998 and April 2000. MAIN OUTCOME MEASURE: Tuberculin skin test result. RESULTS: Using generalized estimating equations to build a predictive model, 7 variables were found to significantly predict a positive tuberculin skin test result among contacts of an active TB case. Further testing showed this model to have a sensitivity, specificity, and positive predictive value of approximately 89%, 36%, and 26%, respectively. The false-negative rate was less than 10%, and about 40% of the contact workload could be eliminated using this model. CONCLUSIONS: Certain characteristics can be used to predict contacts most likely to have a positive tuberculin skin test result. Use of such models can significantly reduce the number of contacts that public health officials need to investigate while still maintaining excellent disease control.

Adolescent↗
PubMed2002

Decentralization of the DOTS programme within a Russian penitentiary system. How to ensure the continuity of tuberculosis treatment in pre-trial detention centres.

BACKGROUND: In Kemerovo region (Siberia), three pre-trial detention centres (SIZO; Ministry of Justice) serve as the gateway to the penitentiary system, comprised of 23 prisons and 30,000 detainees. The follow-up for tuberculosis (TB) patients released into civil society is unreliable. Due to varying detention times and frequent transfers to temporary detention centres (IVS; Ministry of Internal Affairs) for investigation and trial, and concerns about continuity of treatment, SIZOs were not included in the revised TB control programme initiated during 1996. METHODS: To investigate the feasibility of DOTS (Directly Observed Therapy, Short-Course) expansion into SIZOs, general detainee release was studied by examining 10% of files from detainees admitted during 1998 (SIZOs 1,2,3). Then, 5% of general files from SIZO 1 were examined to determine SIZO-IVS flow; 224 TB patient files from SIZO 3 were evaluated to determine the pattern of release/transfer. RESULTS: TB patients in SIZO 3 have less chance of release before six months of detention than non-TB detainees (14/224, 6.3% versus 774/2276, 34%; p < 0.001). Among detainees not released, 60% are not moved during the first six months of detention. For those who move, the mean stay in IVS was 9.5 (+/- 6) days. The incidence of active disease detected upon entry to SIZO 3 was 4,560/100,000, the subsequent rate during the same year of detention 880/100,000. CONCLUSION: Despite frequent detainee movements between institutions, DOTS should be introduced into the earliest stages of detention to prevent case mismanagement, and links to the civilian programme should be developed.

Antitubercular Agents↗
PubMed2002

Molecular differentiation of Mycobacterium tuberculosis strains without IS6110 insertions.

By using standard restriction fragment length polymorphism, 6 zero-copy IS6110 Mycobacterium tuberculosis isolates were identified from 1180 Maryland isolates as part of the National Tuberculosis Genotyping and Surveillance Network Project. By using various genotyping methods, we demonstrated that this zero band cluster can be differentiated into six genotypes.

Bacterial Typing Techniques↗
PubMed2002

Molecular typing of Mycobacterium tuberculosis strains with a common two-band IS6110 pattern.

We conducted a program of population-based molecular typing of all Mycobacterium tuberculosis isolates obtained in Alabama since 1994. Of 2452 isolates, 1013 (41%) had fewer than 6 bands of IS6110; 348 (14%) had a single two-band pattern (JH2). With conventional epidemiologic methods, we identified three groups of related patients with JH2 isolates. Spoligotyping and pattern of variable number of tandem repeats identified 10 molecular groups; two found by conventional methods were subdivided.

Alabama↗