36 research outputs found

    Birth characteristics and childhood carcinomas

    Get PDF
    BACKGROUND: Carcinomas in children are rare and have not been well studied. METHODS: We conducted a population-based case–control study and examined associations between birth characteristics and childhood carcinomas diagnosed from 28 days to 14 years during 1980–2004 using pooled data from five states (NY, WA, MN, TX, and CA) that linked their birth and cancer registries. The pooled data set contained 57 966 controls and 475 carcinoma cases, including 159 thyroid and 126 malignant melanoma cases. We used unconditional logistic regression to calculate odds ratios (ORs) and 95% confidence intervals (CIs). RESULTS: White compared with ‘other' race was positively associated with melanoma (OR=3.22, 95% CI 1.33–8.33). Older maternal age increased the risk for melanoma (OR(per 5-year age increase)=1.20, 95% CI 1.00–1.44), whereas paternal age increased the risk for any carcinoma (OR=1.10(per 5-year age increase), 95% CI 1.01–1.20) and thyroid carcinoma (OR(per 5-year age increase)=1.16, 95% CI 1.01–1.33). Gestational age <37 vs 37–42 weeks increased the risk for thyroid carcinoma (OR=1.87, 95% CI 1.07–3.27). Plurality, birth weight, and birth order were not significantly associated with childhood carcinomas. CONCLUSION: This exploratory study indicates that some birth characteristics including older parental age and low gestational age may be related to childhood carcinoma aetiology

    Parental and infant characteristics and childhood leukemia in Minnesota

    Get PDF
    <p>Abstract</p> <p>Background</p> <p>Leukemia is the most common childhood cancer. With the exception of Down syndrome, prenatal radiation exposure, and higher birth weight, particularly for acute lymphoid leukemia (ALL), few risk factors have been firmly established. Translocations present in neonatal blood spots and the young age peak of diagnosis suggest that early-life factors are involved in childhood leukemia etiology.</p> <p>Methods</p> <p>We investigated the association between birth characteristics and childhood leukemia through linkage of the Minnesota birth and cancer registries using a case-cohort study design. Cases included 560 children with ALL and 87 with acute myeloid leukemia (AML) diagnoses from 28 days to 14 years. The comparison group was comprised of 8,750 individuals selected through random sampling of the birth cohort from 1976–2004. Cox proportional hazards regression specific for case-cohort studies was used to compute hazard ratios (HR) and 95% confidence intervals (CIs).</p> <p>Results</p> <p>Male sex (HR = 1.41, 95% CI 1.16–1.70), white race (HR = 2.32, 95% CI 1.13–4.76), and maternal birth interval ≥ 3 years (HR = 1.31, 95% CI 1.01–1.70) increased ALL risk, while maternal age increased AML risk (HR = 1.21/5 year age increase, 95% CI 1.0–1.47). Higher birth weights (>3798 grams) (HRALL = 1.46, 1.08–1.98; HRAML = 1.97, 95% CI 1.07–3.65), and one minute Apgar scores ≤ 7 (HRALL = 1.30, 95% CI 1.05–1.61; HRAML = 1.62, 95% CI 1.01–2.60) increased risk for both types of leukemia. Sex was not a significant modifier of the association between ALL and other covariates, with the exception of maternal education.</p> <p>Conclusion</p> <p>We confirmed known risk factors for ALL: male sex, high birth weight, and white race. We have also provided data that supports an increased risk for AML following higher birth weights, and demonstrated an association with low Apgar scores.</p

    Antipsychotic Use at Adult Ambulatory Care Visits by Patients With Mental Health Disorders in the United States, 1996-2003: National Estimates and Associated Factors

    No full text
    Objectives: This retrospective analysis was conducted to derive national estimates of typical, atypical, and combination (typical-atypical) antipsychotic use and to examine factors associated with their use at adult (age ≫-18 years) ambulatory care visits by patients with mental health disorders in the United States. Methods: Data on adult visits with an International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis code for a mental health disorder were extracted from the office-based National Ambulatory Medical Care Survey and the outpatient facilitybased National Hospital Ambulatory Medical Care Survey from 1996 through 2003. The visits were categorized according to whether use of a typical, atypical, or combination antipsychotic was mentioned (either prescribed, supplied, administered, ordered, or continued at the visits). Total weighted visit estimates, weighted visit percentages, and 95% CIs were calculated across the 3 types of visit groups. Bivariate analysis was performed on the association between selected characteristics and the 3 visit groups. Multivariate logistic regression was performed on factors associated with atypical versus typical antipsychotic use. Results: During the 8-year period, there were an estimated 47.7 million adult ambulatory care visits involving a mental health disorder and mention of an antipsychotic (weighted percent: 0.83%; 95% CI, 0.73-0.93). From 1996/1997 to 2002/2003, visits involving atypical and combination antipsychotics increased by 195% and 149%, respectively, and visits involving typical antipsychotics decreased by 71%. Men, blacks, and those with public insurance made more visits in which combination antipsychotics rather than typical or atypical antipsychotics were mentioned. Relative to typical or combination antipsychotic visits, more atypical antipsychotic visits involved antide-pressants (weighted percent: 61.23% atypical, 37.29% typical, and 38.32% combination). Fewer atypical antipsychotic visits compared with typical or combination antipsychotic visits involved psychotic disorders (weighted percent: 32.94%, 51.23%, and 69.93%, respectively) and medications for extrapyramidal symptoms (weighted percent: 6.69%, 29.95%, and 36.64%). In multivariate analyses controlling for sex, race, diagnosis of schizophrenia, region, diagnosis of anxiety, and recent years, atypical versus typical antipsychotic use was significantly less likely at visits by those aged 41 to 64 years compared with those aged 18 to 40 years (adjusted odds ratio [OR] = 0.63; 95% CI, 0.47-0.84; P = 0.002); significantly less likely at visits by those with public compared with private insurance (Medicare OR = 0.59 [95% CI, 0.40-0.88], P = 0.010; Medicaid OR = 0.44 [95% CI, 0.28-0.69], P \u3c 0.001); and significantly more likely at visits associated with depression compared with those not associated with depression (OR = 1.92; 95% CI, 1.26-2.93; P = 0.003) and those associated with bipolar disorder compared with those not associated with bipolar disorder (OR = 2.10; 95% CI, 1.32-3.36; P = 0.002). Conclusions: This retrospective analysis found more atypical than typical or combination antipsychotic use at US ambulatory care visits by adults with mental health disorders other than schizophrenia or psychoses in the period studied. Atypical versus typical antipsychotic use was significantly less likely at visits by adults aged 41 to 64 years and those with public insurance, but significantly more likely at visits by those with depression or bipolar disorder

    Prospective Evaluation of Clinical and Economic Outcomes Associated With Treatment of Serious Infections Due to Gram-Positive Cocci

    No full text
    Comparative data are needed to define the use of agents to treat serious gram-positive cocci infections. This prospective, open-label, observational cohort study included adults receiving daptomycin, linezolid, vancomycin, or oxacillin/cefazolin for complicated skin and skin structure infections, bacteremia, endocarditis, or osteomyelitis. Primary outcome was clinical response at 180 days. Secondary outcomes included response at the end of therapy, antibiotic switch due to failure, length of stay (LOS), LOS after antibiotic start, mortality, infection-related readmission, and antibiotic and hospitalization costs. One hundred seventeen patients were evaluated for complicated skin and skin structure infections (n= 37), bacteremia (n = 49), endocarditis (n = 10), and osteomyelitis (n = 21). Daptomycin (P = 0.008) and linezolid (P = 0.02) were used more often as second-line therapy. No significant differences were found in outcomes except LOS (P = 0.05), and hospitalization costs (P = 0.004) were higher with linezolid; antibiotic costs were higher for linezolid (P = 0.001) and daptomycin (P = 0.03). Response rates were similar for the study drugs, although daptomycin and linezolid were used as second-line therapy and associated with higher drug costs

    New-Onset Diabetes after Kidney Transplantation: An Application of 2003 International Guidelines

    No full text
    Background: The 2003 International Consensus Guidelines defined new-onset diabetes after transplantation. This study determined the risk of new-onset diabetes following kidney transplantation using these criteria. Methods: Consecutive nondiabetic patients who received kidney transplantation between August 2001 and March 2003 (recent, n=61) and before August 2001 (earlier, n=61) were retrospectively evaluated. Results: In all, 74% in the recent group and 56% in the earlier group developed diabetes by 1 year posttransplant. Median time to diabetes development was 23 days in the recent vs. 134 days in the earlier group (P=0.0304). Most patients developed diabetes within 60 days after transplantation. Immunosuppression was the strongest correlate of diabetes development; tacrolimus and cyclosporine A treatments were associated with increased risk. The rate of development was also greater when rapamycin was added to tacrolimus, compared to when it was not. The risk was double in African-Americans compared to whites. Age, body mass index, family history of diabetes, and etiology of renal failure did not predict diabetes; however, the mean age of patients was greater than previously reported. Conclusions: The majority of patients are at risk of developing new-onset diabetes within a short time after kidney transplantation. The risk may be due to preexisting risk factors, immunosuppressive agents, or older age. The significance of these findings is not clear, but demands appropriate follow-up studies related to glycemia, end-organ complications, and graft function. It remains to be determined whether the 2003 International Consensus Guidelines are adequate to appropriately diagnose diabetes in the posttransplant time period, with special emphasis on the first 3 months

    New-Onset Diabetes after Kidney Transplantation: An Application of 2003 International Guidelines

    No full text
    Background: The 2003 International Consensus Guidelines defined new-onset diabetes after transplantation. This study determined the risk of new-onset diabetes following kidney transplantation using these criteria. Methods: Consecutive nondiabetic patients who received kidney transplantation between August 2001 and March 2003 (recent, n=61) and before August 2001 (earlier, n=61) were retrospectively evaluated. Results: In all, 74% in the recent group and 56% in the earlier group developed diabetes by 1 year posttransplant. Median time to diabetes development was 23 days in the recent vs. 134 days in the earlier group (P=0.0304). Most patients developed diabetes within 60 days after transplantation. Immunosuppression was the strongest correlate of diabetes development; tacrolimus and cyclosporine A treatments were associated with increased risk. The rate of development was also greater when rapamycin was added to tacrolimus, compared to when it was not. The risk was double in African-Americans compared to whites. Age, body mass index, family history of diabetes, and etiology of renal failure did not predict diabetes; however, the mean age of patients was greater than previously reported. Conclusions: The majority of patients are at risk of developing new-onset diabetes within a short time after kidney transplantation. The risk may be due to preexisting risk factors, immunosuppressive agents, or older age. The significance of these findings is not clear, but demands appropriate follow-up studies related to glycemia, end-organ complications, and graft function. It remains to be determined whether the 2003 International Consensus Guidelines are adequate to appropriately diagnose diabetes in the posttransplant time period, with special emphasis on the first 3 months

    New-Onset Diabetes after Kidney Transplantation: An Application of 2003 International Guidelines

    No full text
    Background: The 2003 International Consensus Guidelines defined new-onset diabetes after transplantation. This study determined the risk of new-onset diabetes following kidney transplantation using these criteria. Methods: Consecutive nondiabetic patients who received kidney transplantation between August 2001 and March 2003 (recent, n=61) and before August 2001 (earlier, n=61) were retrospectively evaluated. Results: In all, 74% in the recent group and 56% in the earlier group developed diabetes by 1 year posttransplant. Median time to diabetes development was 23 days in the recent vs. 134 days in the earlier group (P=0.0304). Most patients developed diabetes within 60 days after transplantation. Immunosuppression was the strongest correlate of diabetes development; tacrolimus and cyclosporine A treatments were associated with increased risk. The rate of development was also greater when rapamycin was added to tacrolimus, compared to when it was not. The risk was double in African-Americans compared to whites. Age, body mass index, family history of diabetes, and etiology of renal failure did not predict diabetes; however, the mean age of patients was greater than previously reported. Conclusions: The majority of patients are at risk of developing new-onset diabetes within a short time after kidney transplantation. The risk may be due to preexisting risk factors, immunosuppressive agents, or older age. The significance of these findings is not clear, but demands appropriate follow-up studies related to glycemia, end-organ complications, and graft function. It remains to be determined whether the 2003 International Consensus Guidelines are adequate to appropriately diagnose diabetes in the posttransplant time period, with special emphasis on the first 3 months
    corecore