Biomedical subjects

H Katki

Publications and source records attributed to H Katki.

4 recordsLinked to original sources

PubMed2001

Trends in human immunodeficiency virus type 1 (HIV-1) load among HIV-1-infected children with hemophilia.

In human immunodeficiency virus type 1 (HIV-1)-infected persons, virus load (serum/plasma level of HIV) predicts outcome. Virus load trends have been characterized in adults and infants but not in children. Virus load trends in 22 male children with hemophilia who acquired HIV-1 postnatally (age 0.7-5.2 years at seroconversion) were studied. The mean HIV-1 load 2 years after seroconversion was 4.40 log10 copies/mL, and the mean change over time (slope) was 0.03 log10 copies/(mL x year). Significant among-children variation was apparent: a random effects model predicted that 95% of children had early virus loads 3.75-5.04 log10 copies/mL and slopes -0.07 to 0.12 log10 copies/(mL x year). Higher early virus loads and higher slopes were each associated with increased mortality (P=.006 and P=.03, respectively). In conclusion, those subjects had virus load trends similar to those in adults. Early virus loads were lower than those in vertically infected infants, which suggests that factors changing soon after birth affect viral replication.

Adult↗

PubMed2001

Influence function based variance estimation and missing data issues in case-cohort studies.

Recognizing that the efficiency in relative risk estimation for the Cox proportional hazards model is largely constrained by the total number of cases, Prentice (1986) proposed the case-cohort design in which covariates are measured on all cases and on a random sample of the cohort. Subsequent to Prentice, other methods of estimation and sampling have been proposed for these designs. We formalize an approach to variance estimation suggested by Barlow (1994), and derive a robust variance estimator based on the influence function. We consider the applicability of the variance estimator to all the proposed case-cohort estimators, and derive the influence function when known sampling probabilities in the estimators are replaced by observed sampling fractions. We discuss the modifications required when cases are missing covariate information. The missingness may occur by chance, and be completely at random; or may occur as part of the sampling design, and depend upon other observed covariates. We provide an adaptation of S-plus code that allows estimating influence function variances in the presence of such missing covariates. Using examples from our current case-cohort studies on esophageal and gastric cancer, we illustrate how our results our useful in solving design and analytic issues that arise in practice.

Cohort Studies↗

PubMed2000

Prospective study of serum selenium levels and incident esophageal and gastric cancers.

BACKGROUND: From March 1986 through May 1991, we conducted a randomized nutritional intervention trial, the General Population Trial, in Linxian, China, a region with epidemic rates of squamous esophageal and adenomatous gastric cardia cancers. We found that participants who received selenium, beta-carotene, and vitamin E had significantly lower cancer mortality rates than those who did not. In the current study, we examined the relationship between selenium levels measured in pretrial (1985) sera from participants and the subsequent risk of developing squamous esophageal, gastric cardia, and gastric non-cardia cancers during the trial. METHODS: This study was designed and analyzed in accord with a stratified case-cohort sampling scheme, with the six strata defined by sex and three age categories. We measured serum selenium levels in 590 case subjects with esophageal cancer, 402 with gastric cardia cancers, and 87 with gastric non-cardia cancers as well as in 1062 control subjects. Relative risks (RRs), absolute risks, and population attributable risk for cancers were estimated on the basis of the Cox proportional hazards models. All statistical tests are two-sided. RESULTS: We found highly significant inverse associations of serum selenium levels with the incidence of esophageal (P: for trend <10(-4)) and gastric cardia (P: for trend <10(-6)) cancers. The RR and 95% confidence interval (CI) for comparison of highest to lowest quartile of serum selenium was 0.56 (95% CI = 0.44-0.71) for esophageal cancer and 0.47 (95% CI = 0.33-0.65) for gastric cardia cancer. The population proportion of these cancers that is attributable to low selenium levels was 26.4% (95% CI = 14.45-38.36). We found no evidence for a gradient of serum selenium associated with incidence of gastric non-cardia cancer (P: for trend =.96), with an RR of 1.07 (95% CI = 0.55-2.08) for the highest to lowest quartile of serum selenium. CONCLUSIONS: Our study supports findings from previous prospective studies and randomized trials that variations in selenium levels affect the incidence of certain cancers. In the United States, where intervention trials of selenium are in the planning stages, consideration should be given to including populations at high risk for squamous esophageal and gastric cardia cancers.

Adult↗

PubMed1996

Optimization of magnetization transfer experiments to measure first-order rate constants and spin-lattice relaxation times.

A recent analysis of the optimization of magnetization transfer experiments to estimate first-order rate constants is extended to the design of experiments for measuring these constants and T1 when both parameters are initially unknown. When the number of measurement times is fixed, an optimal design will consist of a set of measurement times which ensures that the precision of the estimates of the combination of k and T1 is as small as possible in a worst-case scenario. Simple expressions are given for the parameters that characterize the optimal design.

Adenosine Triphosphatases↗