Searched for: school:SOM
Department/Unit:Population Health
Psychometric evaluation of the computerized battery for neuropsychological evaluation of children (BENCI) among school aged children in the context of HIV in an urban Kenyan setting
Rachel, Maina; Jia, He; Amina, Abubakar; Perez-Garcia, Miguel; Kumar, Manasi; Wicherts, Jelte M
INTRODUCTION:Culturally validated neurocognitive measures for children in Low- and Middle-Income Countries are important in the timely and correct identification of neurocognitive impairments. Such measures can inform development of interventions for children exposed to additional vulnerabilities like HIV infection. The Battery for Neuropsychological Evaluation of Children (BENCI) is an openly available, computerized neuropsychological battery specifically developed to evaluate neurocognitive impairment. This study adapted the BENCI and evaluated its reliability and validity in Kenya. METHODOLOGY:The BENCI was adapted using translation and back-translation from Spanish to English. The psychometric properties were evaluated in a case-control study of 328 children (aged 6 - 14 years) living with HIV and 260 children not living with HIV in Kenya. We assessed reliability, factor structure, and measurement invariance with respect to HIV. Additionally, we examined convergent validity of the BENCI using tests from the Kilifi Toolkit. RESULTS: = 135.57, DF = 51, N = 604, p < .001, RMSEA = .052, CFI = .944, TLI = .914) and was partially scalar invariant between HIV positive and negative groups. CONCLUSION:The English version of the BENCI formally translated for use in Kenya can be further adapted and integrated in clinical and research settings as a valid and reliable cognitive test battery.
PMCID:10226211
PMID: 37248481
ISSN: 1471-244x
CID: 5831642
Lesbian, Gay, and Bisexual Widows' Experiences of Grief, Identity, and Support: A Qualitative Study of Relationships Following the Loss of a Spouse or Partner
Valenti, Korijna G; Hahn, Sarah; Enguidanos, Susan; Quinn, Gwendolyn; de Medeiros, Kate
OBJECTIVE:Research with lesbian, gay, and bisexual (LGB) older widows rarely focuses on familial relationships. Studies on heterosexual spousal bereavement indicate older widows face issues influencing identity but show resilience by maintaining close relationships with adult children and extended family. Though research with older LGB widows suggests similarities around loss and resilience, grief and family engagement are markedly different. METHODS:Guided by Relational Cultural Theory, which illuminates how LGB women cope through connection/disconnection, this qualitative descriptive study employed semi-structured, open-ended interviews with 16 LGB women, 60 to 85 years of age from across the United States who had lost a spouse or partner within the past five years. We conducted interviews regarding the perception of self as bereaved LGB women and sustained or altered relationships with biological and chosen families following the loss of their spouses/partners. RESULTS:Findings are illustrated in three themes around acceptance, support, and identity. Participants: 1) experienced differing levels of acceptance, tolerance, and inclusion from biological families; 2) experienced family or friends "disappearing" or providing critical support following a spouse/partner death; 3) negotiated challenges by creating or seeking out families of choice, new communities, and a better understanding of themselves. DISCUSSION/CONCLUSIONS:While LGB widows share some grief experiences with heterosexual widows, they also experience varying biological family acceptance and support as well as the need for friends and families of choice as advocates. It is important to recognize the unique consequences of spousal loss for this population and be cognizant of the differences in normative grief.
PMID: 36331812
ISSN: 1758-5368
CID: 5358842
Myocardial Injury Thresholds for 4 High-Sensitivity Troponin Assays in U.S. Adults
McEvoy, John W; Tang, Olive; Wang, Dan; Ndumele, Chiadi E; Coresh, Josef; Christenson, Robert H; Selvin, Elizabeth
BACKGROUND:Myocardial injury is currently defined as a cardiac troponin above the sex-specific 99th percentile of a healthy reference population (upper reference limit [URL]). OBJECTIVES:The purpose of this study was to estimate high-sensitivity (hs) troponin URLs in a representative sample of the U.S. adult population; overall and by sex, race/ethnicity, and age group. METHODS:Among adults participating in the 1999-2004 National Health and Nutrition Examination Survey (NHANES), we measured hs-troponin T using 1 assay (Roche) and hs-troponin I using 3 assays (Abbott, Siemens, and Ortho). In a strictly defined healthy reference subgroup, we estimated 99th percentile URLs for each assay using the recommended nonparametric method. RESULTS:Of 12,545 participants, 2,746 met criteria for the healthy subgroup (mean age 37 years, 50% men). The NHANES 99th percentile URL for hs-troponin T (19 ng/L) matched the manufacturer-reported URL (19 ng/L). NHANES URLs were 13 ng/L (95% CI: 10-15 ng/L) for Abbott hs-troponin I (manufacturer: 28 ng/L), 5 ng/L (95% CI: 4-7 ng/L) for Ortho hs-troponin I (manufacturer: 11 ng/L), and 37 ng/L (95% CI: 27-66 ng/L) for Siemens hs-troponin I (manufacturer: 46.5 ng/L). There were significant differences in URLs by sex, but none by race/ethnicity. Furthermore, the 99th percentile URLs for all 4 hs-troponin assays were statistically significantly lower in healthy adults aged <40 years compared with healthy adults ≥60 years (all P < 0.001 by rank sum testing). CONCLUSIONS:We found URLs for hs-troponin I assays that were substantially lower than currently listed 99th percentile URLs. There were significant differences in hs-troponin T and I URLs by sex and by age group in healthy U.S. adults but none by race/ethnicity.
PMID: 37197846
ISSN: 1558-3597
CID: 5587052
Scaling the Discrete-time Wright Fisher model to biobank-scale datasets
Spence, Jeffrey P; Zeng, Tony; Mostafavi, Hakhamanesh; Pritchard, Jonathan K
ORIGINAL:0016887
ISSN: 2692-8205
CID: 5494992
Bayesian estimation of gene constraint from an evolutionary model with gene features
Zeng, Tony; Spence, Jeffrey P; Mostafavi, Hakhamanesh; Prtichard, Jonathan K
ORIGINAL:0016888
ISSN: 2692-8205
CID: 5495002
Goodness-of-fit two-phase sampling designs for time-to-event outcomes: a simulation study based on New York University Women's Health Study for breast cancer
Lee, Myeonggyun; Chen, Jinbo; Zeleniuch-Jacquotte, Anne; Liu, Mengling
BACKGROUND:Sub-cohort sampling designs such as a case-cohort study play a key role in studying biomarker-disease associations due to their cost effectiveness. Time-to-event outcome is often the focus in cohort studies, and the research goal is to assess the association between the event risk and risk factors. In this paper, we propose a novel goodness-of-fit two-phase sampling design for time-to-event outcomes when some covariates (e.g., biomarkers) can only be measured on a subgroup of study subjects. METHODS:Assuming that an external model, which can be the well-established risk models such as the Gail model for breast cancer, Gleason score for prostate cancer, and Framingham risk models for heart diseases, or built from preliminary data, is available to relate the outcome and complete covariates, we propose to oversample subjects with worse goodness-of-fit (GOF) based on an external survival model and time-to-event. With the cases and controls sampled using the GOF two-phase design, the inverse sampling probability weighting method is used to estimate the log hazard ratio of both incomplete and complete covariates. We conducted extensive simulations to evaluate the efficiency gain of our proposed GOF two-phase sampling designs over case-cohort study designs. RESULTS:Through extensive simulations based on a dataset from the New York University Women's Health Study, we showed that the proposed GOF two-phase sampling designs were unbiased and generally had higher efficiency compared to the standard case-cohort study designs. CONCLUSION:In cohort studies with rare outcomes, an important design question is how to select informative subjects to reduce sampling costs while maintaining statistical efficiency. Our proposed goodness-of-fit two-phase design provides efficient alternatives to standard case-cohort designs for assessing the association between time-to-event outcome and risk factors. This method is conveniently implemented in standard software.
PMCID:10199513
PMID: 37208600
ISSN: 1471-2288
CID: 5503692
Insights from rare variants into the genetic architecture and biology of youth-onset type 2 diabetes
Kwak, Soo Heon; Srinivasan, Shylaja; Chen, Ling; Todd, Jennifer; Mercader, Josep; Jensen, Elizabeth; Divers, Jasmin; Mottl, Amy; Pihoker, Catherine; Gandica, Rachelle; Laffel, Lori; Isganaitis, Elvira; Haymond, Morey; Levitsky, Lynne; Pollin, Toni; Florez, Jose; Flannick, Jason
Youth-onset type 2 diabetes (T2D) is a growing public health concern. Its genetic basis and relationship to other forms of diabetes are largely unknown. To gain insight into the genetic architecture and biology of youth-onset T2D, we analyzed exome sequences of 3,005 youth-onset T2D cases and 9,777 ancestry matched adult controls. We identified (a) monogenic diabetes variants in 2.1% of individuals; (b) two exome-wide significant (P < 4.3×10-7) common coding variant associations (in WFS1 and SLC30A8); (c) three exome-wide significant (P < 2.5×10-6) rare variant gene-level associations (HNF1A, MC4R, ATX2NL); and (d) rare variant association enrichments within 25 gene sets broadly related to obesity, monogenic diabetes, and β-cell function. Many association signals were shared between youth-onset and adult-onset T2D but had larger effects for youth-onset T2D risk (1.18-fold increase for common variants and 2.86-fold increase for rare variants). Both common and rare variant associations contributed more to youth-onset T2D liability variance than they did to adult-onset T2D, but the relative increase was larger for rare variant associations (5.0-fold) than for common variant associations (3.4-fold). Youth-onset T2D cases showed phenotypic differences depending on whether their genetic risk was driven by common variants (primarily related to insulin resistance) or rare variants (primarily related to β-cell dysfunction). These data paint a picture of youth-onset T2D as a disease genetically similar to both monogenic diabetes and adult-onset T2D, in which genetic heterogeneity might be used to sub-classify patients for different treatment strategies.
PMID: 37292813
ISSN: 2693-5015
CID: 5738122
Clonal Hematopoiesis of Indeterminate Potential is Associated with Acute Kidney Injury
Vlasschaert, Caitlyn; Robinson-Cohen, Cassianne; Kestenbaum, Bryan; Silver, Samuel A; Chen, Jian-Chun; Akwo, Elvis; Bhatraju, Pavan K; Zhang, Ming-Zhi; Cao, Shirong; Jiang, Ming; Wang, Yinqiu; Niu, Aolei; Siew, Edward; Kramer, Holly J; Kottgen, Anna; Franceschini, Nora; Psaty, Bruce M; Tracy, Russell P; Alonso, Alvaro; Arking, Dan E; Coresh, Josef; Ballantyne, Christie M; Boerwinkle, Eric; Grams, Morgan; Lanktree, Matthew B; Rauh, Michael J; Harris, Raymond C; Bick, Alexander G
Age is a predominant risk factor for acute kidney injury (AKI), yet the biological mechanisms underlying this risk are largely unknown and to date no genetic mechanisms for AKI have been established. Clonal hematopoiesis of indeterminate potential (CHIP) is a recently recognized biological mechanism conferring risk of several chronic aging diseases including cardiovascular disease, pulmonary disease and liver disease. In CHIP, blood stem cells acquire mutations in myeloid cancer driver genes such as DNMT3A, TET2, ASXL1 and JAK2 and the myeloid progeny of these mutated cells contribute to end-organ damage through inflammatory dysregulation. We sought to establish whether CHIP causes acute kidney injury (AKI). To address this question, we first evaluated associations with incident AKI events in three population-based epidemiology cohorts (N = 442,153). We found that CHIP was associated with a greater risk of AKI (adjusted HR 1.26, 95% CI: 1.19-1.34, p<0.0001), which was more pronounced in patients with AKI requiring dialysis (adjusted HR 1.65, 95% CI: 1.24-2.20, p=0.001). The risk was particularly high in the subset of individuals where CHIP was driven by mutations in genes other than DNMT3A (HR: 1.49, 95% CI: 1.37-1.61, p<0.0001). We then examined the association between CHIP and recovery from AKI in the ASSESS-AKI cohort and identified that non-DNMT3A CHIP was more common among those with a non-resolving pattern of injury (HR 2.3, 95% CI: 1.14-4.64, p = 0.03). To gain mechanistic insight, we evaluated the role of Tet2-CHIP to AKI in ischemia-reperfusion injury (IRI) and unilateral ureteral obstruction (UUO) mouse models. In both models, we observed more severe AKI and greater post-AKI kidney fibrosis in Tet2-CHIP mice. Kidney macrophage infiltration was markedly increased in Tet2-CHIP mice and Tet2-CHIP mutant renal macrophages displayed greater proinflammatory responses. In summary, this work establishes CHIP as a genetic mechanism conferring risk of AKI and impaired kidney function recovery following AKI via an aberrant inflammatory response in CHIP derived renal macrophages.
PMCID:10246021
PMID: 37292692
CID: 5587062
Secondary Analysis of Agreement Between Negative Timeline Follow Back Report and Negative Urine Toxicology in a Large Trial of Individuals with Opioid Use Disorder
Shulman, Matisyahu; Choo, Tse-Hwei; Scodes, Jennifer; Pavlicova, Martina; Novo, Patricia; Campbell, Aimee N C; Greiner, Miranda; Lee, Joshua D; Rotrosen, John; Nunes, Edward V
OBJECTIVES/OBJECTIVE:Timeline follow-back (TLFB) is a self-report measure commonly used as a method of assessing historical drug use in both clinical and research settings. Our study considered rates of agreement between TLFB and an objective biological assay of opioid use. METHODS:We calculated the rates of agreement between negative report of opioid use for the most recent 8 days on TLFB and urine toxicology (UTOX) results in a large multisite opioid use disorder treatment trial. RESULTS:In total, 3986 assessments were provided by trial participants with both UTOX and TLFB during weeks 1 to 12, 2716 during weeks 13 to 24, and 325 at week 28. Rates of disagreement between negative TLFB and positive opioid UTOX were 2.33% of all assessments (21.68% of those with positive UTOX) over weeks 1 to 12, 2.06% of all assessment (25.00% of those with positive UTOX) over weeks 13 to 24, and 9.85% of all assessments (26.02% of those with positive UTOX) at week 28. CONCLUSIONS:Negative TLFB seems to be generally associated with negative results on urine toxicology.
PMID: 37195799
ISSN: 1935-3227
CID: 5544262
Moving Beyond PM2.5 Mass to More Effectively Protect Health [Comment]
Thurston, George D
PMID: 37000684
ISSN: 1535-4970
CID: 5502642