Milan N Parikh, Erika Rasnick Manning, Liang Niu, Anna Kotsakis Ruehlmann, Alonzo T Folger, Kelly J Brunst, Cole Brokamp
{"title":"Increasing temporal sensitivity of omics association studies with epigenome-wide distributed lag models.","authors":"Milan N Parikh, Erika Rasnick Manning, Liang Niu, Anna Kotsakis Ruehlmann, Alonzo T Folger, Kelly J Brunst, Cole Brokamp","doi":"10.1093/aje/kwae375","DOIUrl":"10.1093/aje/kwae375","url":null,"abstract":"<p><p>Current methods for identifying temporal windows of effect for time-varying exposures in omics settings can control false discovery rates at the biomarker level but cannot efficiently screen for timing-specific effects in high dimensions. Current approaches leverage separate models for site screening and identification of susceptible time windows, and these can miss associations that vary over time. We introduce the epigenome-wide distributed lag model (EWDLM), a novel approach that combines traditional false discovery rate methods with the distributed lag model (DLM) to screen for timing-specific effects in high dimensional settings. This is accomplished by marginalizing DLM effect estimates over time and correcting for multiple comparisons. In a simulation investigating timing-specific effects of ambient air pollution during pregnancy on DNA methylation across the epigenome at age 12 years, the EWDLM achieved an increased sensitivity for associations limited to specific periods of time compared with traditional 2-stage approaches. In a real-world EWDLM analysis, 353 cytosine-phosphate-guanine sites were identified at which DNA methylation measured at age 12 years was significantly associated with fine particulate matter exposure during pregnancy. The EWDLM provides an efficient and sensitive way to screen epigenomic data sets for associations with exposures localized to specific time periods.</p>","PeriodicalId":7472,"journal":{"name":"American journal of epidemiology","volume":" ","pages":"1418-1425"},"PeriodicalIF":5.0,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12055467/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142339205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Eleanor Hayes-Larson, Yixuan Zhou, Yingyan Wu, L Paloma Rojas-Saunero, Marissa J Seamans, Gilbert C Gee, Ron Brookmeyer, Paola Gilsanz, Rachel A Whitmer, Elizabeth Rose Mayeda
{"title":"Estimating dementia incidence in insured older Asian Americans and Pacific Islanders in California: an application of inverse odds of selection weights.","authors":"Eleanor Hayes-Larson, Yixuan Zhou, Yingyan Wu, L Paloma Rojas-Saunero, Marissa J Seamans, Gilbert C Gee, Ron Brookmeyer, Paola Gilsanz, Rachel A Whitmer, Elizabeth Rose Mayeda","doi":"10.1093/aje/kwae182","DOIUrl":"10.1093/aje/kwae182","url":null,"abstract":"<p><p>Literature shows heterogeneous age-standardized dementia incidence rates across US Asian American, Native Hawaiian, and Pacific Islanders (AANHPI), but no estimates of population-representative dementia incidence exist due to lack of AANHPI longitudinal probability samples. We compared harmonized characteristics between AANHPI Kaiser Permanente Northern California members (KPNC cohort) and the target population of AANHPI 60+ with private or Medicare insurance using the California Health Interview Survey. We used stabilized inverse odds of selection weights (sIOSW) to estimate ethnicity-specific crude and age-standardized dementia incidence rates and cumulative risk by age 90 in the target population. Differences between the KPNC cohort and target population varied by ethnicity. The sIOSW eliminated most differences in larger ethnic groups; some differences remained in smaller groups. Estimated crude dementia incidence rates using sIOSW (vs unweighted) were similar in Chinese, Filipinos, Pacific Islanders and Vietnamese, and higher in Japanese, Koreans, and South Asians. Unweighted and weighted age-standardized incidence rates differed for South Asians. Unweighted and weighted cumulative risk were similar for all groups. We estimated the first population-representative dementia incidence rates and cumulative risk in AANHPI ethnic groups. We encountered some estimation problems, and weighted estimates were imprecise, highlighting challenges using weighting to extend inferences to target populations.</p>","PeriodicalId":7472,"journal":{"name":"American journal of epidemiology","volume":" ","pages":"1304-1313"},"PeriodicalIF":5.0,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12055469/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141553979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alexander S Perlmutter, Katherine M Keyes, Daniel Giovenco, Silvia S Martins, Kara E Rudolph
{"title":"Is nicotine vaping associated with subsequent initiation of cannabis or other substances from adolescence into young adulthood?","authors":"Alexander S Perlmutter, Katherine M Keyes, Daniel Giovenco, Silvia S Martins, Kara E Rudolph","doi":"10.1093/aje/kwae189","DOIUrl":"10.1093/aje/kwae189","url":null,"abstract":"<p><p>Prior studies estimating longitudinal associations between nicotine vaping and subsequent initiation of cannabis and other substances (eg, cocaine, heroin) have been limited by short follow-up periods, convenience sampling, and possibly inadequate confounding control. We sought to address some of these gaps using the nationally representative Population Assessment of Tobacco and Health Study (PATH) to estimate longitudinal associations between nicotine vaping and the initiation of cannabis or other substances among adolescents transitioning to adulthood from 2013 to 2019, adjusting for treatment-confounder feedback. Estimands like the longitudinal average treatment effect were not identified because of extensive practical positivity violations. Therefore, we estimated longitudinal incremental propensity score effects, which were identified. We found that reduced odds of nicotine vaping were associated with decreased risks of cannabis or other substance initiation; these associations strengthened over time. For example, by the final wave (2018-2019), cannabis and other substance initiation risks were 6.2 (95% CI, 4.6-7.7) and 1.8 (95% CI, 0.4-3.2) percentage points lower when odds of nicotine vaping were reduced to be 90% lower in all preceding waves (2013-2014 to 2016-2018), as compared with observed risks. Strategies to lower nicotine vaping prevalence during this period may have resulted in fewer young people initiating cannabis and other substances.</p>","PeriodicalId":7472,"journal":{"name":"American journal of epidemiology","volume":" ","pages":"1314-1321"},"PeriodicalIF":5.0,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12055472/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141578706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Madhura S Rane, Yanhan Shen, Mc Kaylee Robertson, Kate Penrose, Avantika Srivastava, Laura Puzniak, Kristen E Allen, Thomas M Porter, Sarah Kulkarni, William You, Amanda Berry, Angela M Parcesepe, Christian Grov, Rebecca Zimba, Denis Nash
{"title":"Barriers to initial COVID-19 booster among US adults who completed a primary vaccine series in the CHASING COVID cohort, September 2021-October 2022.","authors":"Madhura S Rane, Yanhan Shen, Mc Kaylee Robertson, Kate Penrose, Avantika Srivastava, Laura Puzniak, Kristen E Allen, Thomas M Porter, Sarah Kulkarni, William You, Amanda Berry, Angela M Parcesepe, Christian Grov, Rebecca Zimba, Denis Nash","doi":"10.1093/aje/kwae209","DOIUrl":"10.1093/aje/kwae209","url":null,"abstract":"<p><p>It is crucial to understand factors associated with COVID-19 booster uptake in the United States given the updated COVID-19 vaccine recommendations. Using data from a national prospective cohort (n = 4616) between September 2021 and October 2022, we examined socioeconomic, demographic, and behavioral factors of initial booster uptake among participants fully vaccinated with the primary COVID-19 vaccines series. Cox proportional hazards models were used to estimate the associations of each factor with time to initial booster uptake. Most participants (86.5%) reported receiving their initial booster. After adjusting for age, race/ethnicity, education, region, and employment, participants with greater risk for severe COVID-19 had similar booster uptake compared with those with lower risk (adjusted hazard ratio [aHR], 1.04; 95% CI, 0.95-1.14). Participants with greater barriers to healthcare (aHR, 0.89; 95% CI, 0.84-0.96), food insecurity (aHR, 0.82; 95% CI, 0.75-0.89), and housing instability (aHR, 0.81; 95% CI, 0.73-0.90) were less likely to report receiving initial booster compared with those without those barriers. Factors motivating the decision to vaccinate changed from safety-related concerns for the primary series to perceived need for the booster. It is key to address economic and health access barriers to achieve equitable COVID-19 vaccine uptake and continued protection against COVID-19.</p>","PeriodicalId":7472,"journal":{"name":"American journal of epidemiology","volume":" ","pages":"1341-1351"},"PeriodicalIF":5.0,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12055462/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141625700","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Loreen Straub, Shirley V Wang, Sonia Hernandez-Diaz, Kathryn J Gray, Seanna M Vine, Massimiliano Russo, Leena Mittal, Brian T Bateman, Yanmin Zhu, Krista F Huybrechts
{"title":"Hierarchical clustering analysis to inform classification of congenital malformations for surveillance of medication safety in pregnancy.","authors":"Loreen Straub, Shirley V Wang, Sonia Hernandez-Diaz, Kathryn J Gray, Seanna M Vine, Massimiliano Russo, Leena Mittal, Brian T Bateman, Yanmin Zhu, Krista F Huybrechts","doi":"10.1093/aje/kwae272","DOIUrl":"10.1093/aje/kwae272","url":null,"abstract":"<p><p>There is growing interest in the secondary use of health care data to evaluate medication safety in pregnancy. Tree-based scan statistics (TBSS) offer an innovative approach to help identify potential safety signals; they use hierarchically organized outcomes, generally based on existing clinical coding systems that group outcomes by organ system. When assessing teratogenicity, such groupings often lack a sound embryologic basis, given the etiologic heterogeneity of congenital malformations. The study objective was to enhance the grouping of congenital malformations to be used in scanning approaches through implementation of hierarchical clustering analysis (HCA) and to pilot test an HCA-enhanced TBSS approach for medication safety surveillance in pregnancy in 2 test cases using > 4.2 million mother-child dyads from 2 US-nationwide databases. Hierarchical clustering analysis identified (1) malformation combinations belonging to the same organ system already grouped in existing classifications, (2) known combinations across different organ systems not previously grouped, (3) unknown combinations not previously grouped, and (4) malformations seemingly standing on their own. Testing the approach with valproate and topiramate identified expected signals and a signal for an HCA-cluster missed by traditional classification. Augmenting existing classifications with clusters identified through large data exploration may be promising when defining phenotypes for surveillance and causal inference studies.</p>","PeriodicalId":7472,"journal":{"name":"American journal of epidemiology","volume":" ","pages":"1436-1447"},"PeriodicalIF":5.0,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141911370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Impact of COVID-19 on precocious puberty: a meta-analysis and its relevance to Philippine pediatric health.","authors":"John Patrick Toledo","doi":"10.1093/aje/kwae374","DOIUrl":"10.1093/aje/kwae374","url":null,"abstract":"","PeriodicalId":7472,"journal":{"name":"American journal of epidemiology","volume":" ","pages":"1467"},"PeriodicalIF":5.0,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142339204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jesse A Blumenstock, Jennifer A Faerber, Muida Menon, Rasheeda Lawler, Kevin J Downes, Ellen Kratz, Kelley Erickson, Brittany Haltzman-Cassenti, Inci Yildirim, Laila Hussaini, Mohnd Elmontser, Bethany K Sederdahl, Andrea Hahn, Joanna Thomson, Jason Newland, Cindy Terrill, John Bradley, Phillip Zachariah, Muhammad Younus, Jingping Mo, Michele Wible, Margaret Tawadrous, Brian T Fisher
{"title":"Leveraging real-world data from administrative claims and medical records to inform safety and effectiveness of piperacillin-tazobactam in the management of pediatric hospital-acquired pneumonia.","authors":"Jesse A Blumenstock, Jennifer A Faerber, Muida Menon, Rasheeda Lawler, Kevin J Downes, Ellen Kratz, Kelley Erickson, Brittany Haltzman-Cassenti, Inci Yildirim, Laila Hussaini, Mohnd Elmontser, Bethany K Sederdahl, Andrea Hahn, Joanna Thomson, Jason Newland, Cindy Terrill, John Bradley, Phillip Zachariah, Muhammad Younus, Jingping Mo, Michele Wible, Margaret Tawadrous, Brian T Fisher","doi":"10.1093/aje/kwae251","DOIUrl":"10.1093/aje/kwae251","url":null,"abstract":"<p><p>Pediatric-specific safety data are required during development of pharmaceutical agents. Retrospective studies can leverage real-world data to assess safety and effectiveness in children where prospective, controlled studies are not feasible. A retrospective cohort study combined data from Pediatric Health Information Systems (PHIS) and medical records to evaluate the safety and effectiveness of piperacillin/tazobactam (P/T) in pediatric patients with hospital-acquired pneumonia (HAP). After identifying 407 patients diagnosed with HAP receiving P/T (n = 140) or comparator (n = 267) HAP-appropriate antibiotics between 2003-2016 across 7 pediatric institutions, we evaluated comparative risk of a serious adverse event (SAE). Clinical improvement 14 days after therapy initiation was studied as a secondary outcome. Incidence rate ratios (IRRs) were calculated to compare between exposure groups using inverse probability-weighted Poisson regression models. The unadjusted and adjusted IRRs with 95% CIs for SAEs were 1.26 (0.66-2.39) and 1.24 (0.65-2.35). The unadjusted and adjusted ORs with 95% CIs for clinical improvement were 1.14 (0.56-2.34) and 1.50 (0.67-3.38). Point estimates from this retrospective analysis suggest similar safety and clinical effectiveness of P/T and comparator antibiotics for treating HAP. However, due to wide CIs, actual between-group differences cannot be excluded. Existing real-world data can be utilized to inform pediatric-specific safety and effectiveness of medications used in off-label settings. This article is part of a Special Collection on Pharmacoepidemiology.</p>","PeriodicalId":7472,"journal":{"name":"American journal of epidemiology","volume":" ","pages":"1426-1435"},"PeriodicalIF":5.0,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141896469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Betsy Foxman, Elizabeth Salzman, Chelsie Gesierich, Sarah Gardner, Michelle Ammerman, Marisa Eisenberg, Krista Wigginton
{"title":"Wastewater surveillance of antibiotic-resistant bacteria for public health action: potential and challenges.","authors":"Betsy Foxman, Elizabeth Salzman, Chelsie Gesierich, Sarah Gardner, Michelle Ammerman, Marisa Eisenberg, Krista Wigginton","doi":"10.1093/aje/kwae419","DOIUrl":"10.1093/aje/kwae419","url":null,"abstract":"<p><p>Antibiotic resistance is an urgent public health threat. Actions to reduce this threat include requiring prescriptions for antibiotic use, antibiotic stewardship programs, educational programs targeting patients and healthcare providers, and limiting antibiotic use in agriculture, aquaculture, and animal husbandry. Wastewater surveillance might complement clinical surveillance by tracking time/space variation essential for detecting outbreaks and evaluating efficacy of evidence-based interventions, identifying high-risk populations for targeted monitoring, providing early warning of the emergence and spread of antibiotic-resistant bacteria (ARBs), and identifying novel antibiotic-resistant threats. Wastewater surveillance was an effective early warning system for SARS-CoV-2 spread and detection of the emergence of new viral strains. In this data-driven commentary, we explore whether monitoring wastewater for antibiotic-resistant genes (ARGs) and/or bacteria resistant to antibiotics might provide useful information for public health action. Using carbapenem resistance as an example, we highlight technical challenges associated with using wastewater to quantify temporal/spatial trends in ARBs and ARGs and compare with clinical information. While ARGs and ARBs are detectable in wastewater enabling early detection of novel ARGs, quantitation of ARBs and ARGs with current methods is too variable to reliably track space/time variation.</p>","PeriodicalId":7472,"journal":{"name":"American journal of epidemiology","volume":" ","pages":"1192-1199"},"PeriodicalIF":5.0,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142543067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Resa M Jones, Inkyu Han, John Hughes, Erik J Nelson
{"title":"Assessing residential neighborhood exposomes and their associations with cancer incidence: rationale, study design, and methods.","authors":"Resa M Jones, Inkyu Han, John Hughes, Erik J Nelson","doi":"10.1093/aje/kwaf096","DOIUrl":"https://doi.org/10.1093/aje/kwaf096","url":null,"abstract":"","PeriodicalId":7472,"journal":{"name":"American journal of epidemiology","volume":" ","pages":""},"PeriodicalIF":5.0,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143951416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Melissa A Jim, Elizabeth Arias, Donald S Haverkamp, Roberta Paisano, Andria Apostolou, Stephanie C Melkonian
{"title":"Improving Quality of Mortality Estimates Among Non-Hispanic American Indian and Alaska Native People, 2020.","authors":"Melissa A Jim, Elizabeth Arias, Donald S Haverkamp, Roberta Paisano, Andria Apostolou, Stephanie C Melkonian","doi":"10.1093/aje/kwaf094","DOIUrl":"https://doi.org/10.1093/aje/kwaf094","url":null,"abstract":"<p><p>Racial misclassification on death certificates leads to inaccurate mortality data for American Indian and Alaska Native (AI/AN) populations. We describe methods for correcting for racial misclassification among non-Hispanic AI/AN (NH-AI/AN) populations using data from the year 2020. We linked National Death Index (NDI) records with the Indian Health Service (IHS) patient registration database to identify AI/AN decedents. Matches were then linked to the National Vital Statistics System (NVSS) mortality data to identify AI/AN individuals that had been misclassified as another race on their death certificates. Analyses were limited to NH-AI/AN and purchased/referred care delivery areas (PRCDA) or urban areas. We compared death rates and counts pre- and post- linkage and calculated sensitivity and classification ratios by region, sex, age, cause of death (COD) and urban area. Racial misclassification on death certificates among NH-AI/AN varied by geographic region. Some of the highest racial misclassification occurred in the Southern Plains and Pacific Coast. Death rates for NH-AI/AN people and differences between NH-AI/AN and Non-Hispanic White (NHW) people were larger using the linked data. Improving AI/AN mortality data using linkages between vital statistics data and IHS strengthens data quality and can help address health disparities through public health planning efforts.</p>","PeriodicalId":7472,"journal":{"name":"American journal of epidemiology","volume":" ","pages":""},"PeriodicalIF":5.0,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143955673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}