COVID-19 pandemic-associated changes in overall emergency department visits by age group, race, and ethnicity - United States, January 2019-April 2022.

BACKGROUND: ED data are an important source of surveillance data for monitoring many conditions of public health concern and are especially useful in describing trends related to new, or unusual public health events. The COVID-19 pandemic led to significant changes in emergency care seeking behavior. We described the trends in all-cause emergency department (ED) visit volumes by race, ethnicity, and age using ED data from the National Syndromic Surveillance Program (NSSP) during December 30, 2018-April 2, 2022. METHODS: We described total and race, ethnicity, and age group-specific ED visit volumes during the COVID-19 pandemic by comparing quarterly visit volumes during the pandemic period to the relevant quarters in 2019. We quantified the variability of ED visits volumes by calculating the coefficient of variation in mean weekly ED visit volume for each quarter during Q1 2019-Q1 2022. RESULTS: Overall ED visits dropped by 32% during Q2 2020, when the COVID-19 pandemic began, then rebounded to 2019 baseline by Q2 2021. ED visits for all race, ethnicity, and age groups similarly dropped in Q2 2020 and adults of all race and ethnicity groups rebounded to at or above pre-pandemic levels while children remained at or below the pre-pandemic baseline except during Q3 2021. There was larger variation in mean weekly ED visits compared to the respective quarter in 2019 for 6 of 9 quarters during Q1 2020-Q1 2022. CONCLUSIONS: ED utilization fluctuated considerably during the COVID-19 pandemic. Overall ED visits returned to within 5% of 2019 baseline during Q2 2021, however, ED visits among children did not return to the 2019 baseline until Q3 2021, then again dropped below the 2019 baseline in Q4 2021. Trends in ED visit volumes were similar among race and ethnicity groups but differed by age group. Monitoring ED data stratified by race, ethnicity and age can help understand healthcare utilization trends and overall burden on the healthcare system as well as facilitate rapid identification and response to public health threats that may disproportionately affect certain populations.

Mortality Risk Among Patients Hospitalized Primarily for COVID-19 During the Omicron and Delta Variant Pandemic Periods - United States, April 2020-June 2022.

The risk for COVID-19-associated mortality increases with age, disability, and underlying medical conditions (1). Early in the emergence of the Omicron variant of SARS-CoV-2, the virus that causes COVID-19, mortality among hospitalized COVID-19 patients was lower than that during previous pandemic peaks (2-5), and some health authorities reported that a substantial proportion of COVID-19 hospitalizations were not primarily for COVID-19-related illness,* which might account for the lower mortality among hospitalized patients. Using a large hospital administrative database, CDC assessed in-hospital mortality risk overall and by demographic and clinical characteristics during the Delta (July-October 2021), early Omicron (January-March 2022), and later Omicron (April-June 2022) variant periods† among patients hospitalized primarily for COVID-19. Model-estimated adjusted mortality risk differences (aMRDs) (measures of absolute risk) and adjusted mortality risk ratios (aMRRs) (measures of relative risk) for in-hospital death were calculated comparing the early and later Omicron periods with the Delta period. Crude mortality risk (cMR) (deaths per 100 patients hospitalized primarily for COVID-19) was lower during the early Omicron (13.1) and later Omicron (4.9) periods than during the Delta (15.1) period (p<0.001). Adjusted mortality risk was lower during the Omicron periods than during the Delta period for patients aged ≥18 years, males and females, all racial and ethnic groups, persons with and without disabilities, and those with one or more underlying medical conditions, as indicated by significant aMRDs and aMRRs (p<0.05). During the later Omicron period, 81.9% of in-hospital deaths occurred among adults aged ≥65 years and 73.4% occurred among persons with three or more underlying medical conditions. Vaccination, early treatment, and appropriate nonpharmaceutical interventions remain important public health priorities for preventing COVID-19 deaths, especially among persons most at risk.

Cardiac Complications After SARS-CoV-2 Infection and mRNA COVID-19 Vaccination - PCORnet, United States, January 2021-January 2022.

Cardiac complications, particularly myocarditis and pericarditis, have been associated with SARS-CoV-2 (the virus that causes COVID-19) infection (1-3) and mRNA COVID-19 vaccination (2-5). Multisystem inflammatory syndrome (MIS) is a rare but serious complication of SARS-CoV-2 infection with frequent cardiac involvement (6). Using electronic health record (EHR) data from 40 U.S. health care systems during January 1, 2021-January 31, 2022, investigators calculated incidences of cardiac outcomes (myocarditis; myocarditis or pericarditis; and myocarditis, pericarditis, or MIS) among persons aged ≥5 years who had SARS-CoV-2 infection, stratified by sex (male or female) and age group (5-11, 12-17, 18-29, and ≥30 years). Incidences of myocarditis and myocarditis or pericarditis were calculated after first, second, unspecified, or any (first, second, or unspecified) dose of mRNA COVID-19 (BNT162b2 [Pfizer-BioNTech] or mRNA-1273 [Moderna]) vaccines, stratified by sex and age group. Risk ratios (RR) were calculated to compare risk for cardiac outcomes after SARS-CoV-2 infection to that after mRNA COVID-19 vaccination. The incidence of cardiac outcomes after mRNA COVID-19 vaccination was highest for males aged 12-17 years after the second vaccine dose; however, within this demographic group, the risk for cardiac outcomes was 1.8-5.6 times as high after SARS-CoV-2 infection than after the second vaccine dose. The risk for cardiac outcomes was likewise significantly higher after SARS-CoV-2 infection than after first, second, or unspecified dose of mRNA COVID-19 vaccination for all other groups by sex and age (RR 2.2-115.2). These findings support continued use of mRNA COVID-19 vaccines among all eligible persons aged ≥5 years.

Association of COVID-19 Vaccination With Symptomatic SARS-CoV-2 Infection by Time Since Vaccination and Delta Variant Predominance.

IMPORTANCE: Monitoring COVID-19 vaccine performance over time since vaccination and against emerging variants informs control measures and vaccine policies. OBJECTIVE: To estimate the associations between symptomatic SARS-CoV-2 infection and receipt of BNT162b2, mRNA-1273, and Ad26.COV2.S by day since vaccination before and during Delta variant predominance (pre-Delta period: March 13-May 29, 2021; Delta period: July 18-October 17, 2021). DESIGN, SETTING, AND PARTICIPANTS: Test-negative, case-control design with data from 6884 US COVID-19 testing sites in the pharmacy-based Increasing Community Access to Testing platform. This study included 1 634 271 laboratory-based SARS-CoV-2 nucleic acid amplification tests (NAATs) from adults 20 years and older and 180 112 NAATs from adolescents 12 to 19 years old with COVID-19-like illness from March 13 to October 17, 2021. EXPOSURES: COVID-19 vaccination (1 Ad26.COV2.S dose or 2 mRNA doses) 14 or more days prior. MAIN OUTCOMES AND MEASURES: Association between symptomatic infection and prior vaccination measured using the odds ratio (OR) from spline-based multivariable logistic regression. RESULTS: The analysis included 390 762 test-positive cases (21.5%) and 1 423 621 test-negative controls (78.5%) (59.9% were 20-44 years old; 9.9% were 12-19 years old; 58.9% were female; 71.8% were White). Among adults 20 years and older, the BNT162b2 mean OR for days 14 to 60 after a second dose (initial OR) was lower during the pre-Delta period (0.10 [95% CI, 0.09-0.11]) than during the Delta period (0.16 [95% CI, 0.16-0.17]) and increased with time since vaccination (per-month change in OR, pre-Delta: 0.04 [95% CI, 0.02-0.05]; Delta: 0.03 [95% CI, 0.02-0.03]). The initial mRNA-1273 OR was 0.05 (95% CI, 0.04-0.05) during the pre-Delta period, 0.10 (95% CI, 0.10-0.11) during the Delta period, and increased with time (per-month change in OR, pre-Delta: 0.02 [95% CI, 0.005-0.03]; Delta: 0.03 [95% CI, 0.03-0.04]). The Ad26.COV2.S initial OR was 0.42 (95% CI, 0.37-0.47) during the pre-Delta period and 0.62 (95% CI, 0.58-0.65) during the Delta period and did not significantly increase with time since vaccination. Among adolescents, the BNT162b2 initial OR during the Delta period was 0.06 (95% CI, 0.05-0.06) among 12- to 15-year-olds, increasing by 0.02 (95% CI, 0.01-0.03) per month, and 0.10 (95% CI, 0.09-0.11) among 16- to 19-year-olds, increasing by 0.04 (95% CI, 0.03-0.06) per month. CONCLUSIONS AND RELEVANCE: Among adults, the OR for the association between symptomatic SARS-CoV-2 infection and COVID-19 vaccination (as an estimate of vaccine effectiveness) was higher during Delta variant predominance, suggesting lower protection. For mRNA vaccination, the steady increase in OR by month since vaccination was consistent with attenuation of estimated effectiveness over time; attenuation related to time was greater than that related to variant.

Comparing the historical limits method with regression models for weekly monitoring of national notifiable diseases reports.

To compare the performance of the standard Historical Limits Method (HLM), with a modified HLM (MHLM), the Farrington-like Method (FLM), and the Serfling-like Method (SLM) in detecting simulated outbreak signals. We used weekly time series data from 12 infectious diseases from the U.S. Centers for Disease Control and Prevention's National Notifiable Diseases Surveillance System (NNDSS). Data from 2006 to 2010 were used as baseline and from 2011 to 2014 were used to test the four detection methods. MHLM outperformed HLM in terms of background alert rate, sensitivity, and alerting delay. On average, SLM and FLM had higher sensitivity than MHLM. Among the four methods, the FLM had the highest sensitivity and lowest background alert rate and alerting delay. Revising or replacing the standard HLM may improve the performance of aberration detection for NNDSS standard weekly reports.

Coding of Electronic Laboratory Reports for Biosurveillance, Selected United States Hospitals, 2011.

Objective Electronic laboratory reporting has been promoted as a public health priority. The Office of the U.S. National Coordinator for Health Information Technology has endorsed two coding systems: Logical Observation Identifiers Names and Codes (LOINC) for laboratory test orders and Systemized Nomenclature of Medicine-Clinical Terms (SNOMED CT) for test results. Materials and Methods We examined LOINC and SNOMED CT code use in electronic laboratory data reported in 2011 by 63 non-federal hospitals to BioSense electronic syndromic surveillance system. We analyzed the frequencies, characteristics, and code concepts of test orders and results. Results A total of 14,028,774 laboratory test orders or results were reported. No test orders used SNOMED CT codes. To describe test orders, 77% used a LOINC code, 17% had no value, and 6% had a non-informative value, "OTH". Thirty-three percent (33%) of test results had missing or non-informative codes. For test results with at least one informative value, 91.8% had only LOINC codes, 0.7% had only SNOMED codes, and 7.4% had both. Of 108 SNOMED CT codes reported without LOINC codes, 45% could be matched to at least one LOINC code. Conclusion Missing or non-informative codes comprised almost a quarter of laboratory test orders and a third of test results reported to BioSense by non-federal hospitals. Use of LOINC codes for laboratory test results was more common than use of SNOMED CT. Complete and standardized coding could improve the usefulness of laboratory data for public health surveillance and response.

Practical comparison of aberration detection algorithms for biosurveillance systems.

National syndromic surveillance systems require optimal anomaly detection methods. For method performance comparison, we injected multi-day signals stochastically drawn from lognormal distributions into time series of aggregated daily visit counts from the U.S. Centers for Disease Control and Prevention's BioSense syndromic surveillance system. The time series corresponded to three different syndrome groups: rash, upper respiratory infection, and gastrointestinal illness. We included a sample of facilities with data reported every day and with median daily syndromic counts ⩾1 over the entire study period. We compared anomaly detection methods of five control chart adaptations, a linear regression model and a Poisson regression model. We assessed sensitivity and timeliness of these methods for detection of multi-day signals. At a daily background alert rate of 1% and 2%, the sensitivities and timeliness ranged from 24 to 77% and 3.3 to 6.1days, respectively. The overall sensitivity and timeliness increased substantially after stratification by weekday versus weekend and holiday. Adjusting the baseline syndromic count by the total number of facility visits gave consistently improved sensitivity and timeliness without stratification, but it provided better performance when combined with stratification. The daily syndrome/total-visit proportion method did not improve the performance. In general, alerting based on linear regression outperformed control chart based methods. A Poisson regression model obtained the best sensitivity in the series with high-count data.

Completeness of reporting of race and ethnicity data in the nationally notifiable diseases surveillance system, United States, 2006-2010.

CONTEXT: During 1994-1997, approximately 70% and 60% of the cases of conditions reported to the National Notifiable Diseases Surveillance System included persons of known race and ethnicity, respectively. A major goal of the Healthy People 2020 initiative is to eliminate health disparities. OBJECTIVE: To describe trends in the completeness of race and ethnicity in case reports of the National Notifiable Diseases Surveillance System during 2006-2010. METHODS: The National Notifiable Diseases Surveillance System is a public health surveillance system that aggregates case reports of infectious diseases and conditions that are designated nationally notifiable and are collected by US states and territories. The Centers for Disease Control and Prevention (Atlanta, Georgia) maintains this surveillance system in collaboration with the Council of State and Territorial Epidemiologists. We used Cochran-Armitage Trend Test (SAS, version 9.2) to test the hypothesis that the percentage of case reports with the completeness of race and ethnicity data increased or decreased linearly during 2006-2010. MAIN OUTCOME MEASURE: Completeness of race and ethnicity variables. RESULTS: The 32 conditions reviewed included 1 030 804 case records. Seventy percent of records included a known value for race, and 49% of records included ethnicity during 2006-2010. During 2006-2010, race was known in 70% or more of records in 24 of 32 conditions and in 23 of 51 jurisdictions. During 2006-2010, the systemwide reporting of race remained at the same level of completeness (70%) but the reporting of ethnicity increased slightly from 48% in 2006 to 53% in 2010. In comparison with race, the proportions of records coded to ethnicity were less among all conditions. CONCLUSIONS: Significant change has occurred in the completeness of reporting of ethnicity but not race during 2006-2010. However, the reporting of ethnicity still lags substantially behind the reporting of race. Jurisdictions that identify conditions with lower rates of completeness of race and ethnicity can assess the net benefits of efforts to improve the completeness of race and ethnicity data.

Summary of notifiable diseases--United States, 2012.

The Summary of notifiable diseases--United States, 2012 contains the official statistics, in tabular and graphic form, for the reported occurrence of nationally notifiable infectious diseases in the United States for 2012. Unless otherwise noted, the data are final totals for 2012 reported as of June 30, 2013. These statistics are collected and compiled from reports sent by state health departments and territories to the National Notifiable Diseases Surveillance System (NNDSS), which is operated by CDC in collaboration with the Council of State and Territorial Epidemiologists (CSTE). The Summary is available at http://www.cdc.gov/mmwr/mmwr_nd/index.html. This site also includes Summary publications from previous years.

Cancer incidence rates and trends among children and adolescents in the United States, 2001-2009.

OBJECTIVES: Cancer continues to be the leading disease-related cause of death among children and adolescents in the United States. More current information is needed to describe recent cancer trends and identify demographic and geographic variations. METHODS: We analyzed data from the National Program of Cancer Registries and Surveillance, Epidemiology, and End Results statewide registries representing 94.2% of the US population to identify cancers diagnosed among persons aged 0 to 19 years during 2001-2009. Age-adjusted rates and annual percentage change for trends were calculated. Data were stratified by age, gender, race, ethnicity, and geography. RESULTS: We identified 120,137 childhood and adolescent cancer cases during 2001-2009 with an age-adjusted incidence rate of 171.01 per million. The overall rate of all cancers combined remained stable over time (annual percent change [APC], 0.3%; 95% confidence interval [CI], -0.1 to 0.7). There was an increase in the overall cancer trend among African American children and adolescents (APC, 1.3%; 95% CI, 0.2 to 2.5). An increasing trend for thyroid cancer was observed among both genders (APC, 4.9%; 95% CI, 3.2 to 6.6) and specifically among adolescents and those in the Northeast, South, and West regions of the United States. Renal carcinoma incidence was increasing significantly overall (APC, 5.4%; 95% CI, 2.8 to 8.1). Extracranial and extragonadal germ cell tumors and melanoma were both significantly decreasing. CONCLUSIONS: This study reports the novel finding that renal carcinoma rates are increasing among children and adolescents. This study confirms that thyroid cancer rates are increasing and further describes rising cancer rates among African Americans.

Prostate cancer deaths and incident cases among American Indian/Alaska Native men, 1999-2009.

OBJECTIVES: We linked databases to improve identification of American Indians/Alaska Natives (AI/ANs) in determining prostate cancer death and incidence rates. METHODS: We linked prostate cancer mortality and incidence data with Indian Health Service (IHS) patient records; analyses focused on residents of IHS Contract Health Service Delivery Area (CHSDA) counties. We calculated age-adjusted incidence and death rates for AI/AN and White men for 1999 to 2009; men of Hispanic origin were excluded. RESULTS: Prostate cancer death rates were higher for AI/AN men than for White men. Death rates declined for White men (-3.0% per year) but not for AI/AN men. AI/AN men had lower prostate cancer incidence rates than White men. Incidence rates declined among Whites (-2.2% per year) and AI/ANs (-1.9% per year). CONCLUSIONS: AI/AN men had higher prostate cancer death rates and lower prostate cancer incidence rates than White men. Disparities in accessing health care could contribute to mortality differences, and incidence differences could be related to lower prostate-specific antigen testing rates among AI/AN men.

Syndromic surveillance in an ICD-10 world.

The Centers for Disease Control and Prevention's BioSense program is an integrated national public health surveillance system that uses electronic medical record (EMR) data to provide situational awareness for all-hazard health-related events. Because the system leverages International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) coded data from EMRs for syndromic surveillance, the upcoming Health and Human Services-mandated transition from ICD-9-CM to ICD-10-CM will have a significant impact. To translate across the two encoding systems, we developed a Mapping Reference Table (MRT) for the ICD-9/10 transition. We extracted ICD-9-CM codes binned to predefined syndromes and mapped each to its corresponding ICD-10-CM code(s). Then, we translated the output ICD-10-CM codes back to ICD-9-CM through a reverse translation validation process. Throughout the translation process, we examined outputs manually and incorporated annotated results into the MRT. The resulting MRT can be used to refine and update each existing syndromic surveillance definition in BioSense to be compatible with ICD-10-CM and consistently classify or bin any given emergency department visit into the correct syndrome regardless of coding system.

Descriptive epidemiology of malignant and nonmalignant primary spinal cord, spinal meninges, and cauda equina tumors, United States, 2004-2007.

BACKGROUND: Primary tumors of the spinal cord, spinal meninges, and cauda equina are relatively rare, and a paucity of population-based data exist on tumors in these sites. This study intends to augment the current literature by examining incidence of these tumors on a national level. METHODS: Data from central cancer registries in the National Program of Cancer Registries (NPCR) and Surveillance, Epidemiology, and End Results (SEER) programs for 2004-2007 (covering 99.2% of US population) and 1999-2007 (covering 89.4% of US population) were analyzed. Analyses for diagnosis years 2004-2007 included cases of malignant and nonmalignant primary spinal cord, spinal meninges, and cauda equina tumors. Descriptive statistics including estimated age-adjusted incidence rates standardized to the 2000 US standard population were conducted for both malignant and nonmalignant primary spinal tumors from cases diagnosed during 2004-2007 as well as trend analyses on malignant cases of primary spinal tumors (n = 5103) for cases diagnosed during 1999-2007 using SEER Stat 6.6.2 software. RESULTS: There were 2576 cases of malignant primary spinal tumors and 9136 cases of nonmalignant primary spinal tumors in 2004-2007. The incidence of malignant and nonmalignant primary spinal tumors combined differed by age, sex, race, and ethnicity. Results of trend analyses indicated that malignant primary spinal tumors have been stable throughout the 1999-2007 period. CONCLUSIONS: This large population-based study adds new insights into the descriptive epidemiology of primary spinal cord, spinal meninges, and cauda equina tumors by providing in-depth analyses of the incidence of these tumors on a national level.

Anatomic distribution of malignant melanoma on the non-Hispanic black patient, 1998-2007.

OBJECTIVES: To provide a population-based description of the anatomic distribution of melanoma among non-Hispanic black patients and to explore how characteristics of this distribution relate to the etiologies previously reported for both white and black patients. DESIGN: Cross-sectional, retrospective. SETTING: United States, January 1, 1998, through December 31, 2007. PATIENTS: A total of 1439 non-Hispanic black patients with a diagnosis of malignant melanoma. MAIN OUTCOME MEASURES: Proportion of melanoma found per anatomic site (head, face, or neck; trunk; upper limb and shoulder; and the lower limb and hip) by patient sex, age, and region of diagnosis. RESULTS: The most frequent site of melanoma was the lower limb and hip (848 [58.9%]) and trunk (238 [16.5%]). The youngest median age was presented for diagnoses of the trunk (male: 56 years and females: 48 years). Presentation on the lower limb and hip accounted for most diagnoses in both the northern and southern geographic regions (north: 58.2% and south: 59.7%). CONCLUSIONS: By increasing knowledge about the burden of this disease within the black population, our findings can be used to improve the early detection of melanoma by both the patient and the provider.

Evaluating factors associated with unknown SEER Summary Stage 2000 derived from collaborative stage at central registry level.

BACKGROUND: Cancer stage is critical for treatment planning and assessing disease prognosis. The percentage of unknown staged cancer cases varies considerably across state cancer registries; factors contributing to the variations in unknown stage have not been reported in the literature before. The purpose of this study was to examine whether these variations were influenced by demographic and/or clinical factors as well as the type of reporting facility. METHODS: Invasive colorectal, lung, female breast, and prostate cancers diagnosed between 2004 and 2007 were obtained from the North American Association of Central Cancer Registries (NAACCR); 47 population-based cancer registries in the United States were included. The unknown stage was based on Summary Stage 2000 codes derived from Collaborative Stage Version 1 (CSv1). Relative importance analysis was used to identify variables that were essential in predicting unknown stage. Using state central registries as analytical units, multiple linear regression was used to evaluate factors associated with the percentage of unknown stage by cancer site; potential outlier registries with a high percentage of unknown stage cases were identified using boxplots and standardized residuals. RESULTS: Overall, lung cancer had the highest percentage of unknown stage (8.3%) and prostate cancer had the largest variation of unknown stage among registries (0.6%-18.1%). The percentages of neoplasms not otherwise specified (NOS) histology, non-microscopic confirmation, and non-hospital reporting source were positively associated (p less than 0.05) with percentage of unknown stage for all studied cancer sites before adjustment. Variables that retained a positive association with unknown stage including all demographic and clinical variables, year of diagnosis, and type of reporting source were black race, metropolitan area less than 1 million population, histologies of neoplasms NOS or epithelial neoplasms NOS, diagnosis year 2005, and non-hospital reporting source for colorectal cancer; metropolitan area less than 1 million population, neoplasms NOS histology, and non-hospital reporting source for female breast; and diagnosis year 2005 and non-hospital reporting source for prostate. After adjustment, none of the predictors were significant for lung cancer. We observed 1 potential outlier registry each for colorectal, lung and female breast cancers. CONCLUSIONS: Factors associated with unknown stage differ by cancer site; however, the type of reporting source is an important predictor of unknown stage for all cancers except lung after adjustment. Central registries with high percentage of unknown stage should be made aware of their data quality issue(s). As a result, these registries can investigate those factors and provide training to registrars to improve their cancer data quality.

Recent trends in prostate cancer testing and incidence among men under age of 50.

BACKGROUND: Information on prostate cancer testing and incidence among men under age 50 is scant. This study aims to describe trends of prostate cancer testing and incidence by demographic and clinical characteristics and identify potential correlations between prostate cancer testing and incidence. METHODS: We examined prostate cancer testing and incidence rates among American men under age of 50 using data from the Behavioral Risk Factor Surveillance System (2002, 2004, 2006, and 2008) and data from the National Program of Cancer Registries and Surveillance, Epidemiology, and End Results programs (2001-2006). We conducted descriptive, logistic regression, and trend analyses using SUDAAN and SEER*Stat. RESULTS: The prostate cancer incidence rate among black men was more than 2-fold that of white men. The overall prostate cancer incidence rate slightly increased from 2001 to 2006; however, the prevalence of prostate cancer testing declined over time. There was a borderline significant increase in prostate cancer incidence rate (APC=3.5, 95% CI=0.0, 7.0) for men aged 40-44. Well-differentiated prostate cancer incidence decreased significantly (APC=-24.7; 95% confidence interval (CI)=-34.9, -12.8) over time. CONCLUSIONS: We observed a large difference in prostate cancer incidence between blacks and whites under age 50. Similar patterns in prostate cancer testing and cancer incidence by race and ethnicity suggested prostate cancer testing might have influenced incidence to some extent in this young population. The different temporal patterns for prostate cancer testing and incidence, especially for men aged 40-44 years, suggested screening alone could not fully accounted for the increasing prostate cancer incidence rates. Decreasing trend of well-differentiated prostate cancer may be partially due to "Grade Inflation".

Association of cutaneous melanoma incidence with area-based socioeconomic indicators-United States, 2004-2006.

BACKGROUND: Socioeconomic status (SES) has been associated with melanoma incidence and outcomes. Examination of the relationship between melanoma and SES at the national level in the United States is limited. Expanding knowledge of this association is needed to improve early detection and eliminate disparities. OBJECTIVE: We sought to provide a detailed description of cutaneous melanoma incidence and stage of disease in relationship to area-based socioeconomic measures including poverty level, education, income, and unemployment in the United States. METHODS: Invasive cutaneous melanoma data reported by 44 population-based central cancer registries for 2004 to 2006 were merged with county-level SES estimates from the US Census Bureau. Age-adjusted incidence rates were calculated by gender, race/ethnicity, poverty, education, income, unemployment, and metro/urban/rural status using software. Poisson multilevel mixed models were fitted, and incidence density ratios were calculated by stage for area-based SES measures, controlling for age, gender, and state random effects. RESULTS: Counties with lower poverty, higher education, higher income, and lower unemployment had higher age-adjusted melanoma incidence rates for both early and late stage. In multivariate models, SES effects persisted for early-stage but not late-stage melanoma incidence. LIMITATIONS: Individual-level measures of SES were unavailable, and estimates were based on county-level SES measures. CONCLUSION: Our findings show that melanoma incidence in the United States is associated with aggregate county-level measures of high SES. Analyses using finer-level SES measures, such as individual or census tract level, are needed to provide more precise estimates of these associations.

Association between cutaneous melanoma incidence rates among white US residents and county-level estimates of solar ultraviolet exposure.

BACKGROUND: Recent US studies have raised questions as to whether geographic differences in cutaneous melanoma incidence rates are associated with differences in solar ultraviolet (UV) exposure. OBJECTIVES: We sought to assess the association of solar UV exposure with melanoma incidence rates among US non-Hispanic whites. METHODS: We assessed the association between county-level estimates of average annual solar UV exposure for 1961 to 1990 and county-level melanoma incidence rates during 2004 to 2006. We used Poisson multilevel mixed models to calculate incidence density ratios by cancer stage at diagnosis while controlling for individuals' age and sex and for county-level estimates of solar UV exposure, socioeconomic status, and physician density. RESULTS: Age-adjusted rates of early- and late-stage melanoma were both significantly higher in high solar UV counties than in low solar UV counties. Rates of late-stage melanoma incidence were generally higher among men, but younger women had a higher rate of early-stage melanoma than their male counterparts. Adjusted rates of early-stage melanoma were significantly higher in high solar UV exposure counties among men aged 35 years or older and women aged 65 years or older. LIMITATIONS: The relationship between individual-level UV exposure and risk for melanoma was not evaluated. CONCLUSIONS: County-level solar UV exposure was associated with the incidence of early-stage melanoma among older US adults but not among younger US adults. Additional studies are needed to determine whether exposure to artificial sources of UV exposure or other factors might be mitigating the relationship between solar UV exposure and risk for melanoma.

Melanoma survival in the United States, 1992 to 2005.

BACKGROUND: Population-based data on melanoma survival are important for understanding the impact of demographic and clinical factors on prognosis. OBJECTIVE: We describe melanoma survival by age, sex, race/ethnicity, stage, depth, histology, and site. METHODS: Using Surveillance, Epidemiology, and End Results data, we calculated unadjusted cause-specific survival up to 10 years from diagnosis for 68,495 first primary cases of melanoma diagnosed from 1992 to 2005. Cox multivariate analysis was performed for 5-year survival. Data from 1992 to 2001 were divided into 3 time periods to compare stage distribution and differences in stage-specific 5-year survival over time. RESULTS: Melanomas that had metastasized (distant stage) or were thicker than 4.00 mm had a poor prognosis (5-year survival: 15.7% and 56.6%). The 5-year survival for men was 86.8% and for persons given the diagnosis at age 65 years or older was 83.2%, varying by stage at diagnosis. Scalp/neck melanoma had lower 5-year survival (82.6%) than other anatomic sites; unspecified/overlapping lesions had the least favorable prognosis (41.5%). Nodular and acral lentiginous melanomas had the poorest 5-year survival among histologic subtypes (69.4% and 81.2%, respectively). Survival differences by race/ethnicity were observed in the unadjusted survival, but nonsignificant in the multivariate analysis. Overall 5-year melanoma survival increased from 87.7% to 90.1% for melanomas diagnosed in 1992 through 1995 compared with 1999 through 2001, and this change was not clearly associated with a shift toward localized diagnosis. LIMITATIONS: Prognostic factors included in revised melanoma staging guidelines were not available for all study years and were not examined. CONCLUSIONS: Poorer survival from melanoma was observed among those given the diagnosis at late stage and older age. Improvements in survival over time have been minimal. Although newly available therapies may impact survival, prevention and early detection are relevant to melanoma-specific survival.

Trends in endometrial cancer incidence rates in the United States, 1999-2006.

BACKGROUND: Risk factors for endometrial cancer, such as hormone replacement therapy (HRT) and obesity, have changed significantly in the last decade. We investigated trends in endometrial cancer histologic subtypes on a national level during 1999-2006. METHODS: Data covering 88% of the U.S. population were from central cancer registries in the National Program of Cancer Registries (NPCR) and Surveillance, Epidemiology, and End Results (SEER) programs that met high-quality United States Cancer Statistics (USCS) criteria. Our analyses included females with microscopically confirmed invasive uterine cancer (n=257,039). Age-adjusted incidence rates and trends for all invasive uterine cancers and by endometrial cancer histologic subtypes (type I and II) were assessed. RESULTS: There were 145,922 cases of type I endometrial cancers and 15,591 cases of type II for 1999-2006. We found that type I endometrial cancers have been increasing, whereas type II endometrial cancers and all invasive uterine cancers have been relatively stable throughout the 1999-2006 period. CONCLUSIONS: During the past decade, the overall burden of uterine cancer has been stable, although there have been changes in underlying histologies (e.g., endometrial). Changes in trends for underlying histologies may be masked when reviewing trends irrespective of histologic subtypes. Our findings suggest the need to examine trends of uterine cancer by histologic subtype in order to better understand the burden of endometrial cancer in relation to these subtypes to help women at increased risk for developing more aggressive types of endometrial cancer (e.g., type II).