Thomas A Louis

Johns Hopkins University, Baltimore, Maryland, United States

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Publications (149)581.44 Total impact

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    ABSTRACT: In places where malaria transmission is unstable or is transmitted under hypoendemic conditions, there are periods where limited foci of cases still occur and people become infected. These residual "hot spots" are likely reservoirs of the parasite population and so are fundamental to the seasonal spread and decline of malaria. It is, therefore, important to understand the ecological conditions that permit vector mosquitoes to survive and forage in these specific areas. Features such as local waterways and vegetation, as well as local ecology, particularly nocturnal temperature, humidity, and vegetative sustainability, are important for modeling local mosquito behavior. Vegetation around a homestead likely provides refuge for outdoor resting of these insects and may be a risk factor for malaria transmission. Analysis of this vegetation can be done using satellite information and mapping programs, such as Google Earth, but manual quantification is difficult and can be tedious and subjective. A more objective method is required. Vegetation cover in the environment is reasonably static, particularly in and around homesteads. In order to evaluate and enumerate such information, ImageJ, an image processing software, was used to analyse Google Earth satellite imagery. The number of plants, total amount of vegetation around a homestead and its percentage of the total area were calculated and related to homesteads where cases of malaria were recorded. Preliminary results were obtained from a series of field trials carried out in South East Zambia in the Choma and Namwala districts from a base at the Macha District Hospital. This technique is objective, clear and simple to manipulate and has potential application to determine the role that vegetation proximal to houses may play in affecting mosquito behaviour, foraging and subsequent malaria incidence.
    Malaria Journal 03/2014; 13(1):94. · 3.49 Impact Factor
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    ABSTRACT: Websites and phone apps are increasingly used to track weights during weight loss interventions, yet the longitudinal accuracy of these self-reported weights is uncertain.
    Journal of Medical Internet Research 01/2014; 16(7):e173. · 3.77 Impact Factor
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    ABSTRACT: Background. Several studies demonstrating that central line-associated bloodstream infections (CLABSIs) are preventable prompted a national initiative to reduce the incidence of these infections. Methods. We conducted a collaborative cohort study to evaluate the impact of the national "On the CUSP: Stop BSI" program on CLABSI rates among participating adult intensive care units (ICUs). The program goal was to achieve a unit-level mean CLABSI rate of less than 1 case per 1,000 catheter-days using standardized definitions from the National Healthcare Safety Network. Multilevel Poisson regression modeling compared infection rates before, during, and up to 18 months after the intervention was implemented. Results. A total of 1,071 ICUs from 44 states, the District of Columbia, and Puerto Rico, reporting 27,153 ICU-months and 4,454,324 catheter-days of data, were included in the analysis. The overall mean CLABSI rate significantly decreased from 1.96 cases per 1,000 catheter-days at baseline to 1.15 at 16-18 months after implementation. CLABSI rates decreased during all observation periods compared with baseline, with adjusted incidence rate ratios steadily decreasing to 0.57 (95% confidence intervals, 0.50-0.65) at 16-18 months after implementation. Conclusion. Coincident with the implementation of the national "On the CUSP: Stop BSI" program was a significant and sustained decrease in CLABSIs among a large and diverse cohort of ICUs, demonstrating an overall 43% decrease and suggesting the majority of ICUs in the United States can achieve additional reductions in CLABSI rates.
    Infection Control and Hospital Epidemiology 01/2014; 35(1):56-62. · 4.02 Impact Factor
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    ABSTRACT: Objective To evaluate the 3-year incremental cost-effectiveness of fluocinolone acetonide implant versus systemic therapy for the treatment of noninfectious intermediate, posterior, and panuveitis. Design Randomized, controlled, clinical trial. Participants Patients with active or recently active intermediate, posterior, or panuveitis enrolled in the Multicenter Uveitis Steroid Treatment Trial. Methods Data on cost and health utility during 3 years after randomization were evaluated at 6-month intervals. Analyses were stratified by disease laterality at randomization (31 unilateral vs 224 bilateral) because of the large upfront cost of the implant. Main Outcome Measures The primary outcome was the incremental cost-effectiveness ratio (ICER) over 3 years: The ratio of the difference in cost (in United States dollars) to the change in quality-adjusted life-years (QALYs). Costs of medications, surgeries, hospitalizations, and regular procedures (e.g., laboratory monitoring for systemic therapy) were included. We computed QALYs as a weighted average of EQ-5D scores over 3 years of follow-up. Results The ICER at 3 years was $297 800/QALY for bilateral disease, driven by the high cost of implant therapy (difference implant - systemic [Δ]: $16 900; P < 0.001) and the modest gains in QALYs (Δ = 0.057; P = 0.22). The probability of the ICER being cost-effective at thresholds of $50 000/QALY and $100 000/QALY was 0.003 and 0.04, respectively. The ICER for unilateral disease was more favorable, namely, $41 200/QALY at 3 years, because of a smaller difference in cost between the 2 therapies (Δ = $5300; P = 0.44) and a larger benefit in QALYs with the implant (Δ = 0.130; P = 0.12). The probability of the ICER being cost-effective at thresholds of $50 000/QALY and $100 000/QALY was 0.53 and 0.74, respectively. Conclusion Fluocinolone acetonide implant therapy was reasonably cost-effective compared with systemic therapy for individuals with unilateral intermediate, posterior, or panuveitis but not for those with bilateral disease. These results do not apply to the use of implant therapy when systemic therapy has failed or is contraindicated. Should the duration of implant effect prove to be substantially >3 years or should large changes in therapy pricing occur, the cost-effectiveness of implant versus systemic therapy would need to be reevaluated.
    Ophthalmology 01/2014; · 5.56 Impact Factor
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    ABSTRACT: Our retrospective analysis of the Michigan Keystone intensive care unit (ICU) collaborative demonstrated that adult ICUs could achieve and sustain a zero rate of ventilator-associated pneumonia (VAP) for a considerable number of ventilator and calendar months. Moreover, the results highlight the importance of adjustment for ventilator-days before comparing VAP-free time among ICUs.
    Infection Control and Hospital Epidemiology 07/2013; 34(7):740-3. · 4.02 Impact Factor
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    ABSTRACT: Statistical approaches to evaluate interactions between single nucleotide polymorphisms (SNPs) and SNP-environment interactions are of great importance in genetic association studies, as susceptibility to complex disease might be related to the interaction of multiple SNPs and/or environmental factors. With these methods under active development, algorithms to simulate genomic data sets are needed to ensure proper type I error control of newly proposed methods and to compare power with existing methods. In this paper we propose an efficient method for a haplotype-based simulation of case-parent trios when the disease risk is thought to depend on possibly higher-order epistatic interactions or gene-environment interactions with binary exposures.
    Human Heredity 03/2013; 75(1):12-22. · 1.57 Impact Factor
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    ABSTRACT: PURPOSE: To evaluate effects of two behavioral weight-loss interventions (in-person, remote) on health-related quality of life (HRQOL) compared to a control intervention. METHODS: Four hundred and fifty-one obese US adults with at least one cardiovascular risk factor completed five measures of HRQOL and depression: MOS SF-12 physical component summary (PCS) and mental component summary; EuroQoL-5 dimensions single index and visual analog scale; PHQ-8 depression symptoms; and PSQI sleep quality scores at baseline and 6 and 24 months after randomization. Change in each outcome was analyzed using outcome-specific mixed-effects models controlling for participant demographic characteristics. RESULTS: PCS-12 scores over 24 months improved more among participants in the in-person active intervention arm than among control arm participants (P < 0.05, ES = 0.21); there were no other statistically significant treatment arm differences in HRQOL change. Greater weight loss was associated with improvements in most outcomes (P < 0.05 to < 0.0001). CONCLUSIONS: Participants in the in-person active intervention improved more in physical function HRQOL than participants in the control arm did. Greater weight loss during the study was associated with greater improvement in all PRO except for sleep quality, suggesting that weight loss is a key factor in improving HRQOL.
    Quality of Life Research 03/2013; · 2.86 Impact Factor
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    ABSTRACT: PURPOSE: Normative biopsychosocial stressors that occur during entry into adolescence can affect school performance.As a set of resources for adapting to life's challenges, good health may buffer a child from these potentially harmful stressors. This study examined the associations between health (measured as well-being, functioning, symptoms, and chronic conditions) and school outcomes among children aged 9-13 years in 4th-8th grades. METHODS: We conducted a prospective cohort study of 1,479 children from 34 schools followed from 2006 to 2008. Survey data were obtained from children and their parents, and school records were abstracted. Measures of child self-reported health were dichotomized to indicate presence of a health asset. Outcomes included attendance, grade point average, state achievement test scores, and child-reported school engagement and teacher connectedness. RESULTS: Both the transition into middle school and puberty had independent negative influences on school outcomes. Chronic health conditions that affected children's functional status were associated with poorer academic achievement. The number of health assets that a child possessed was positively associated with school outcomes. Low levels of negative stress experiences and high physical comfort had positive effects on teacher connectedness, school engagement, and academic achievement, whereas bullying and bully victimization negatively affected these outcomes. Children with high life satisfaction were more connected with teachers, more engaged in schoolwork, and earned higher grades than those who were less satisfied. CONCLUSIONS: As children enter adolescence, good health may buffer them from the potentially negative effects of school and pubertal transitions on academic success.
    Journal of Adolescent Health 02/2013; 52(2):186-194. · 2.97 Impact Factor
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    ABSTRACT: Genome-wide association studies (GWAs) have identified thousands of DNA loci associated with a variety of traits. Statistical inference is almost always based on single marker hypothesis tests of association and the respective p-values with Bonferroni correction. Since commercially available genomic arrays interrogate hundreds of thousands or even millions of loci simultaneously, many causal yet undetected loci are believed to exist because the conditional power to achieve a genome-wide significance level can be low, in particular for markers with small effect sizes and low minor allele frequencies and in studies with modest sample size. However, the correlation between neighboring markers in the human genome due to linkage disequilibrium (LD) resulting in correlated marker test statistics can be incorporated into multi-marker hypothesis tests, thereby increasing power to detect association. Herein, we establish a theoretical benchmark by quantifying the maximum power achievable for multi-marker tests of association in case-control studies, achievable only when the causal marker is known. Using that genotype correlations within an LD block translate into an asymptotically multivariate normal distribution for score test statistics, we develop a set of weights for the markers that maximize the non-centrality parameter, and assess the relative loss of power for other approaches. We find that the method of Conneely and Boehnke (2007) based on the maximum absolute test statistic observed in an LD block is a practical and powerful method in a variety of settings. We also explore the effect on the power that prior biological or functional knowledge used to narrow down the locus of the causal marker can have, and conclude that this prior knowledge has to be very strong and specific for the power to approach the maximum achievable level, or even beat the power observed for methods such as the one proposed by Conneely and Boehnke (2007).
    Frontiers in Genetics 01/2013; 4:252.
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    ABSTRACT: The susceptibility of older adults to the health effects of air pollution is well-recognized. Advanced age may act as a partial surrogate for conditions associated with aging. The authors investigated whether gerontologic frailty (a clinical health status metric) modified the association between ambient level of ozone or particulate matter with an aerodynamic diameter less than 10 µm and lung function in 3,382 older adults using 7 years of follow-up data (1990-1997) from the Cardiovascular Health Study and its Environmental Factors Ancillary Study. Monthly average pollution and annual frailty assessments were related to up to 3 repeated measurements of lung function using cumulative summaries of pollution and frailty histories that accounted for duration as well as concentration. Frailty history was found to modify long-term associations of pollutants with forced vital capacity. For example, the decrease in forced vital capacity associated with a 70-ppb/month greater cumulative sum of monthly average ozone exposure was 12.3 mL (95% confidence interval: 10.4, 14.2) for a woman who had spent the prior 7 years prefrail or frail as compared with 4.7 mL (95% confidence interval: 3.8, 5.6) for a similar woman who was robust during all 7 years (interaction P < 0.001).
    American journal of epidemiology 07/2012; 176(3):214-23. · 5.59 Impact Factor
  • Journal of comparative effectiveness research. 05/2012; 1(3):213-6.
  • Marie Davidian, Thomas A Louis
    Science 04/2012; 336(6077):12. · 31.20 Impact Factor
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    ABSTRACT: Genotype imputation has become a standard option for researchers to expand their genotype datasets to improve signal precision and power in tests of genetic association with disease. In imputations for family-based studies however, subjects are often treated as unrelated individuals: currently, only BEAGLE allows for simultaneous imputation for trios of parents and offspring; however, only the most likely genotype calls are returned, not estimated genotype probabilities. For population-based SNP association studies, it has been shown that incorporating genotype uncertainty can be more powerful than using hard genotype calls. We here investigate this issue in the context of case-parent family data. We present the statistical framework for the genotypic transmission-disequilibrium test (gTDT) using observed genotype calls and imputed genotype probabilities, derive an extension to assess gene-environment interactions for binary environmental variables, and illustrate the performance of our method on a set of trios from the International Cleft Consortium. In contrast to population-based studies, however, utilizing the genotype probabilities in this framework (derived by treating the family members as unrelated) can result in biases of the test statistics toward protectiveness for the minor allele, particularly for markers with lower minor allele frequencies and lower imputation quality. We further compare the results between ignoring relatedness in the imputation and taking family structure into account, based on hard genotype calls. We find that by far the least biased results are obtained when family structure is taken into account and currently recommend this approach in spite of its intense computational requirements.
    Genetic Epidemiology 04/2012; 36(3):225-34. · 4.02 Impact Factor
  • Jessica A. Myers, Thomas A. Louis
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    ABSTRACT: In observational studies of treatments or interventions, propensity score (PS) adjustment is often useful for controlling bias in estimation of treatment effects. Regression on PS is used most often and can be highly efficient, but it can lead to biased results when model assumptions are violated. The validity of stratification on PS depends on fewer model assumptions, but this approach is less efficient than regression adjustment when the regression assumptions hold. To investigate these issues, we compare stratification and regression adjustments in a Monte Carlo simulation study. We consider two stratification approaches: equal frequency strata and an approach that attempts to choose strata that minimize the mean squared error (MSE) of the treatment effect estimate. The regression approach that we consider is a generalized additive model (GAM) that estimates treatment effect controlling for a potentially nonlinear association between PS and outcome. We find that under a wide range of plausible data generating distributions the GAM approach outperforms stratification in treatment effect estimation with respect to bias, variance, and thereby MSE. We illustrate each approach in an analysis of insurance plan choice and its relation to satisfaction with asthma care.
    Health Services and Outcomes Research Methodology 03/2012; 12(1).
  • Biometrics 03/2012; 68(1):vii-x. · 1.41 Impact Factor
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    ABSTRACT: In regions of declining malaria transmission, new strategies for control are needed to reduce transmission and achieve elimination. Artemisinin-combination therapy (ACT) is active against immature gametocytes and can reduce the risk of transmission. We sought to determine whether household screening and treatment of infected individuals provides protection against infection for household members. The study was conducted in two areas in Southern Province, Zambia in 2007 and 2008/2009. To determine the impact of proactive case detection, households were randomly selected either to join a longitudinal cohort, in which participants were repeatedly screened throughout the year and those infected treated with artemether-lumefantrine, or a cross-sectional survey, in which participants were visited only once. Cross-sectional surveys were conducted throughout the year. The prevalence of RDT positivity was compared between the longitudinal and cross-sectional households at baseline and during follow-up using multilevel logistic regression. In the 2007 study area, 174 and 156 participants enrolled in the cross-sectional and longitudinal groups, respectively. In the 2008/2009 study area, 917 and 234 participants enrolled in the cross-sectional and longitudinal groups, respectively. In both study areas, participants and households in the longitudinal and cross-sectional groups were similar on demographic characteristics and prevalence of RDT positivity at baseline (2007: OR = 0.97; 95% CI:0.46, 2.03 | 2008/2009: OR = 1.28; 95% CI:0.44, 3.79). After baseline, the prevalence of RDT positivity was significantly lower in longitudinal compared to cross-sectional households in both study areas (2007: OR = 0.44; 95% CI:0.20, 0.96 | 2008/2009: OR = 0.16; 95% CI:0.05, 0.55). Proactive case detection, consisting of screening household members with an RDT and treating those positive with ACT, can reduce transmission and provide indirect protection to household members. A targeted test and treat strategy could contribute to the elimination of malaria in regions of low transmission.
    PLoS ONE 01/2012; 7(2):e31396. · 3.53 Impact Factor
  • Marie Davidian, Thomas A. Louis
    Science 01/2012; 336(6077). · 31.03 Impact Factor
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    ABSTRACT: Obesity and its cardiovascular complications are extremely common medical problems, but evidence on how to accomplish weight loss in clinical practice is sparse. We conducted a randomized, controlled trial to examine the effects of two behavioral weight-loss interventions in 415 obese patients with at least one cardiovascular risk factor. Participants were recruited from six primary care practices; 63.6% were women, 41.0% were black, and the mean age was 54.0 years. One intervention provided patients with weight-loss support remotely--through the telephone, a study-specific Web site, and e-mail. The other intervention provided in-person support during group and individual sessions, along with the three remote means of support. There was also a control group in which weight loss was self-directed. Outcomes were compared between each intervention group and the control group and between the two intervention groups. For both interventions, primary care providers reinforced participation at routinely scheduled visits. The trial duration was 24 months. At baseline, the mean body-mass index (the weight in kilograms divided by the square of the height in meters) for all participants was 36.6, and the mean weight was 103.8 kg. At 24 months, the mean change in weight from baseline was -0.8 kg in the control group, -4.6 kg in the group receiving remote support only (P<0.001 for the comparison with the control group), and -5.1 kg in the group receiving in-person support (P<0.001 for the comparison with the control group). The percentage of participants who lost 5% or more of their initial weight was 18.8% in the control group, 38.2% in the group receiving remote support only, and 41.4% in the group receiving in-person support. The change in weight from baseline did not differ significantly between the two intervention groups. In two behavioral interventions, one delivered with in-person support and the other delivered remotely, without face-to-face contact between participants and weight-loss coaches, obese patients achieved and sustained clinically significant weight loss over a period of 24 months. (Funded by the National Heart, Lung, and Blood Institute and others; ClinicalTrials.gov number, NCT00783315.).
    New England Journal of Medicine 11/2011; 365(21):1959-68. · 54.42 Impact Factor
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    ABSTRACT: To compare the relative effectiveness of systemic corticosteroids plus immunosuppression when indicated (systemic therapy) versus fluocinolone acetonide implant (implant therapy) for noninfectious intermediate, posterior, or panuveitis (uveitis). Randomized controlled parallel superiority trial. Patients with active or recently active uveitis. Participants were randomized (allocation ratio 1:1) to systemic or implant therapy at 23 centers (3 countries). Implant-assigned participants with bilateral uveitis were assigned to have each eye that warranted study treatment implanted. Treatment-outcome associations were analyzed by assigned treatment for all eyes with uveitis. Masked examiners measured the primary outcome: change in best-corrected visual acuity from baseline. Secondary outcomes included patient-reported quality of life, ophthalmologist-graded uveitis activity, and local and systemic complications of uveitis or therapy. Reading Center graders and glaucoma specialists assessing ocular complications were masked. Participants, ophthalmologists, and coordinators were unmasked. On evaluation of changes from baseline to 24 months among 255 patients randomized to implant and systemic therapy (479 eyes with uveitis), the implant and systemic therapy groups had an improvement in visual acuity of +6.0 and +3.2 letters (P = 0.16, 95% confidence interval on difference in improvement between groups, -1.2 to +6.7 letters, positive values favoring implant), an improvement in vision-related quality of life of +11.4 and +6.8 units (P = 0.043), a change in EuroQol-EQ5D health utility of +0.02 and -0.02 (P = 0.060), and residual active uveitis in 12% and 29% (P=0.001), respectively. Over the 24 month period, implant-assigned eyes had a higher risk of cataract surgery (80%, hazard ratio [HR] = 3.3, P < 0.0001), treatment for elevated intraocular pressure (61%, HR=4.2, P < 0.0001), and glaucoma (17%, HR=4.2, P = 0.0008). Patients assigned to systemic therapy had more prescription-requiring infections than patients assigned to implant therapy (0.60 vs 0.36/person-year, P=0.034), without notable long-term consequences; systemic adverse outcomes otherwise were unusual in both groups, with minimal differences between groups. In each treatment group, mean visual acuity improved over 24 months, with neither approach superior to a degree detectable with the study's power. Therefore, the specific advantages and disadvantages identified should dictate selection between the alternative treatments in consideration of individual patients' particular circumstances. Systemic therapy with aggressive use of corticosteroid-sparing immunosuppression was well tolerated, suggesting that this approach is reasonably safe for local and systemic inflammatory disorders. Proprietary or commercial disclosure may be found after the references.
    Ophthalmology 08/2011; 118(10):1916-26. · 5.56 Impact Factor
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    ABSTRACT: To examine the associations between having a special health care need and school outcomes measured as attendance, student engagement, behavioral threats to achievement, and academic achievement. A total of 1457 children in the fourth through sixth grades from 34 schools in 3 school districts and their parents provided survey data; parents completed the Children With Special Health Care Needs Screener. School records were abstracted for attendance, grades, and standardized achievement test scores. Across 34 schools, 33% of children screened positive for special health care needs. After adjusting for sociodemographic and school effects, children with special health care needs had lower motivation to do well in school, more disruptive behaviors, and more frequent experiences as a bully victim. They experienced significantly lower academic achievement, as measured by grades, standardized testing, and parental-assessed academic performance. These findings were observed for children who qualified as having a special health care need because they had functional limitations attributed to a chronic illness or a behavioral health problem but not for those who qualified only because they took prescription medications. Specific subgroups of children with special health care needs are at increased risk for poor school outcomes. Health and school professionals will need to collaborate to identify these children early, intervene with appropriate medical and educational services, and monitor long-term outcomes.
    PEDIATRICS 08/2011; 128(2):303-12. · 4.47 Impact Factor

Publication Stats

4k Citations
581.44 Total Impact Points

Institutions

  • 2004–2014
    • Johns Hopkins University
      • • Department of Biostatistics
      • • Department of Medicine
      Baltimore, Maryland, United States
  • 2003–2014
    • Johns Hopkins Bloomberg School of Public Health
      • Department of Biostatistics
      Baltimore, Maryland, United States
    • University of California, San Diego
      San Diego, California, United States
    • Mayo Clinic - Rochester
      Rochester, Minnesota, United States
  • 2013
    • National Human Genome Research Institute
      Maryland, United States
  • 2011–2013
    • The Children's Hospital of Philadelphia
      • Department of Pediatrics
      Philadelphia, PA, United States
    • University of Southern California
      • Division of Biostatistics
      Los Angeles, CA, United States
  • 2012
    • Johns Hopkins Medicine
      Baltimore, Maryland, United States
  • 2009
    • University of North Carolina at Chapel Hill
      North Carolina, United States
  • 2006–2008
    • RAND Corporation
      Santa Monica, California, United States
  • 2005
    • Medtronic
      Minneapolis, Minnesota, United States
  • 2002–2005
    • Brooks Rand
      Seattle, Washington, United States
  • 1999–2002
    • University of Minnesota Twin Cities
      • Division of Biostatistics
      Minneapolis, MN, United States
  • 1996–2002
    • University of Minnesota Duluth
      Duluth, Minnesota, United States
    • Yale University
      • School of Public Health
      New Haven, CT, United States
  • 2000
    • Eli Lilly
      Indianapolis, Indiana, United States
  • 1997
    • University of Kentucky
      Lexington, Kentucky, United States