Searched for: school:SOM
Department/Unit:Population Health
Survey of Principal Investigators in Biobanking: Knowledge, Attitudes, and Research Behaviors About Transgender and Gender-Diverse Patients
Jones, Nat C; Reyes, Monica E; Quinn, Gwendolyn P; Schabath, Matthew B
PURPOSE/UNASSIGNED:Biobanks usually do not collect transgender and gender-diverse (TGD) demographic information, hindering research on cancer risk and biological effects related to gender-affirming interventions. METHODS/UNASSIGNED:In August 2019, 172 scientists involved in biobanking research at a single institution (H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL) were invited to complete a survey measuring knowledge and attitudes about TGD health and research practices. Quantitative and qualitative analyses were performed. RESULTS/UNASSIGNED:< .001). Qualitative analysis of open-ended questions indicated overall support of TGD data inclusion in biobanks along with perceived barriers to inclusion of such data in biobanks. CONCLUSION/UNASSIGNED:To our knowledge, this was the first study of researchers to assess knowledge, attitudes, and research practices regarding TGD patients. Overall, there was limited knowledge about TGD health and cancer needs and low rates of TGD demographic data collection but a high interest in receiving education regarding this community.
PMID: 32525751
ISSN: 2688-1535
CID: 4631412
"We Can Always Adopt": Perspectives of Adolescent and Young Adult Males with Cancer and Their Family on Alternatives to Biological Parenthood
Morgan, Taylor L; Young, Braedon P; Lipak, Keagan G; Lehmann, Vicky; Klosky, James; Quinn, Gwendolyn P; Gerhardt, Cynthia A; Nahata, Leena
PMID: 32320315
ISSN: 2156-535x
CID: 4402252
Incorporating kidney disease measures into cardiovascular risk prediction: Development and validation in 9 million adults from 72 datasets
Matsushita, Kunihiro; Jassal, Simerjot K; Sang, Yingying; Ballew, Shoshana H; Grams, Morgan E; Surapaneni, Aditya; Arnlov, Johan; Bansal, Nisha; Bozic, Milica; Brenner, Hermann; Brunskill, Nigel J; Chang, Alex R; Chinnadurai, Rajkumar; Cirillo, Massimo; Correa, Adolfo; Ebert, Natalie; Eckardt, Kai-Uwe; Gansevoort, Ron T; Gutierrez, Orlando; Hadaegh, Farzad; He, Jiang; Hwang, Shih-Jen; Jafar, Tazeen H; Kayama, Takamasa; Kovesdy, Csaba P; Landman, Gijs W; Levey, Andrew S; Lloyd-Jones, Donald M; Major, Rupert W; Miura, Katsuyuki; Muntner, Paul; Nadkarni, Girish N; Naimark, David Mj; Nowak, Christoph; Ohkubo, Takayoshi; Pena, Michelle J; Polkinghorne, Kevan R; Sabanayagam, Charumathi; Sairenchi, Toshimi; Schneider, Markus P; Shalev, Varda; Shlipak, Michael; Solbu, Marit D; Stempniewicz, Nikita; Tollitt, James; Valdivielso, José M; van der Leeuw, Joep; Wang, Angela Yee-Moon; Wen, Chi-Pang; Woodward, Mark; Yamagishi, Kazumasa; Yatsuya, Hiroshi; Zhang, Luxia; Schaeffner, Elke; Coresh, Josef
Background/UNASSIGNED:Chronic kidney disease (CKD) measures (estimated glomerular filtration rate [eGFR] and albuminuria) are frequently assessed in clinical practice and improve the prediction of incident cardiovascular disease (CVD), yet most major clinical guidelines do not have a standardized approach for incorporating these measures into CVD risk prediction. "CKD Patch" is a validated method to calibrate and improve the predicted risk from established equations according to CKD measures. Methods/UNASSIGNED:Utilizing data from 4,143,535 adults from 35 datasets, we developed several "CKD Patches" incorporating eGFR and albuminuria, to enhance prediction of risk of atherosclerotic CVD (ASCVD) by the Pooled Cohort Equation (PCE) and CVD mortality by Systematic COronary Risk Evaluation (SCORE). The risk enhancement by CKD Patch was determined by the deviation between individual CKD measures and the values expected from their traditional CVD risk factors and the hazard ratios for eGFR and albuminuria. We then validated this approach among 4,932,824 adults from 37 independent datasets, comparing the original PCE and SCORE equations (recalibrated in each dataset) to those with addition of CKD Patch. Findings/UNASSIGNED:with albuminuria 30-299 mg/g), indicating considerable risk underestimation in CKD with SCORE. The corresponding estimates for ASCVD with PCE were 1.55 (1.37-1.81), 1.24 (1.10-1.54), and 1.21 (0.98-1.46). Interpretation/UNASSIGNED:The "CKD Patch" can be used to quantitatively enhance ASCVD and CVD mortality risk prediction equations recommended in major US and European guidelines according to CKD measures, when available. Funding/UNASSIGNED:US National Kidney Foundation and the NIDDK.
PMCID:7599294
PMID: 33150324
ISSN: 2589-5370
CID: 5101772
Joint attention partially mediates the longitudinal relation between attuned caregiving and executive functions for low-income children
Brandes-Aitken, Annie; Braren, Stephen; Gandhi, Jill; Perry, Rosemarie E; Rowe-Harriott, Sashana; Blair, Clancy
Using data from a large longitudinal sample (N = 1,292) of children and their caregivers in predominantly low-income, nonurban communities, we investigated longitudinal relations between attuned caregiving in infancy, joint attention in toddlerhood, and executive functions in early childhood. The results from path analysis demonstrated that attuned caregiving during infancy predicted more joint attention in toddlerhood, which was in turn associated with better executive function performance in early childhood. Joint attention was a stronger predictor of executive functions for lower-income families. Moreover, joint attention mediated the relation between attuned caregiving and executive functions, and this mediation was amplified for lower-income families. These results highlight joint attention as a key mechanism through which attuned caregiving supports the development of executive functions, particularly for low-income families. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
PMID: 32700951
ISSN: 1939-0599
CID: 4533372
Hypothalamic-Pituitary-Adrenal Axis Responses in Women with Endometriosis-Related Chronic Pelvic Pain
Ortiz, Robin; Gemmill, Julie Anne L; Sinaii, Ninet; Stegmann, Barbara; Khachikyan, Izabella; Chrousos, George; Segars, James; Stratton, Pamela
Some chronic pain conditions and comorbidities suppress the hypothalamic-pituitary-adrenal (HPA) axis and response to dynamic testing. We measured HPA axis responses to corticotropin-releasing hormone (CRH) administration in relation to chronic pelvic pain and endometriosis. In a cross-sectional study of women (n = 54) with endometriosis-associated chronic pelvic pain (n = 22), chronic pelvic pain alone (n = 12), or healthy volunteers (n = 20), adrenocorticotropic-releasing hormone (ACTH) and cortisol levels were measured at 0, 15, 30, and 45 min after intravenous ovine CRH administration. ACTH and cortisol delta (peak-baseline) and area under the curve (AUC) were compared by study group and assessed for association with race and menstrual and non-menstrual pain severity. HPA axis responses did not differ among the racially diverse groups or in those with pain compared with healthy volunteers. However, when stratified by race, ACTH delta (129.9 ± 130.7 vs. 52.5 ± 66.0 pg/mL; p = 0.003), ACTH AUC (4813 ± 4707 vs. 2290 ± 2900 min*pg/mL; p = 0.013), and cortisol delta (26.3 ± 21.5 vs. 13.2 ± 9.7 μg/mL; p = 0.005) were significantly higher in black (n = 10) than predominately white (non-black) subjects (n = 44; 39/44 white). In analyses among primarily white (non-black) women, greater menstrual pain severity was associated with blunted ACTH delta (p = 0.015) and cortisol delta (p = 0.023), and greater non-menstrual pain severity with blunted cortisol delta (p = 0.017). Neuroendocrine abnormalities in women with chronic pelvic pain may differ by pain manifestations and may vary by race. The higher HPA axis response in black women merits investigation in pelvic pain studies stratified by race. In white (non-black) women experiencing pain, a blunted response was related to pain severity suggesting pain affects women independently of endometriosis lesions.
PMID: 32572832
ISSN: 1933-7205
CID: 5069732
Reactions to the National Academies/Royal Society Report on Heritable Human Genome Editing
Angrist, Misha; Barrangou, Rodolphe; Baylis, Françoise; Brokowski, Carolyn; Burgio, Gaetan; Caplan, Arthur; Chapman, Carolyn Riley; Church, George M; Cook-Deegan, Robert; Cwik, Bryan; Doudna, Jennifer A; Evans, John H; Greely, Henry T; Hercher, Laura; Hurlbut, J Benjamin; Hynes, Richard O; Ishii, Tetsuya; Kiani, Samira; Lee, LaTasha Hoskins; Levrier, Guillaume; Liu, David R; Lunshof, Jeantine E; Macintosh, Kerry Lynn; Mathews, Debra J H; Meslin, Eric M; Mills, Peter H R; Montoliu, Lluis; Musunuru, Kiran; Nicol, Dianne; O'Neill, Helen; Qiu, Renzong; Ranisch, Robert; Sherkow, Jacob S; Soni, Sheetal; Terry, Sharon; Topol, Eric; Williamson, Robert; Zhang, Feng; Davies, Kevin
In September 2020, a detailed report on Heritable Human Genome Editing was published. The report offers a translational pathway for the limited approval of germline editing under limited circumstances and assuming various criteria have been met. In this perspective, some three dozen experts from the fields of genome editing, medicine, bioethics, law, and related fields offer their candid reactions to the National Academies/Royal Society report, highlighting areas of support, omissions, disagreements, and priorities moving forward.
PMID: 33095048
ISSN: 2573-1602
CID: 4679172
Trends in school-age pedestrian and pedalcyclist crashes in the USA: 26 states, 2000-2014
Wheeler-Martin, Katherine C; Curry, Allison E; Metzger, Kristina B; DiMaggio, Charles J
BACKGROUND:Despite substantial progress, motor vehicle crashes remain a leading killer of US children. Previously, we documented significant positive impacts of Safe Routes to School interventions on school-age pedestrian and pedalcyclist crashes. OBJECTIVE:To expand our analysis of US trends in motor vehicle crashes involving school-age pedestrians and pedalcyclists, exploring heterogeneity by age and geography. METHODS:We obtained recent police-reported crash data from 26 states, calculating population rates of pedestrian and pedalcyclist crashes, crash fatality rates and pedestrian commuter-adjusted crash rates ('pedestrian danger index') for school-age children as compared with other age groups. We estimated national and statewide trends by age, injury status, day and travel hour using hierarchical linear modeling. RESULTS:School-age children accounted for nearly one in three pedestrians and one in two pedalcyclists struck in motor vehicle crashes from 2000 to 2014. Yet, the rates of these crashes declined 40% and 53%, respectively, over that time, on average, even as adult rates rose. Average crash rates varied geographically from 24.4 to 100.8 pedestrians and 15.6 to 56.7 pedalcyclists struck per 100 000 youth. Crash rates and fatality rates were inversely correlated. CONCLUSIONS:Despite recent increases in adult pedestrian crashes, school-age and younger pedestrians experienced ongoing declines in motor vehicle crashes through 2014 across the USA. There was no evidence of displacement in crash severity; declines were observed in all outcomes. The growing body of state crash data resources can present analytic challenges but also provides unique insights into national and local pedestrian crash trends for all crash outcomes.
PMID: 31562195
ISSN: 1475-5785
CID: 4105732
Generalized mean residual life models for case-cohort and nested case-control studies
Jin, Peng; Zeleniuch-Jacquotte, Anne; Liu, Mengling
Mean residual life (MRL) is the remaining life expectancy of a subject who has survived to a certain time point and can be used as an alternative to hazard function for characterizing the distribution of a time-to-event variable. Inference and application of MRL models have primarily focused on full-cohort studies. In practice, case-cohort and nested case-control designs have been commonly used within large cohorts that have long follow-up and study rare diseases, particularly when studying costly molecular biomarkers. They enable prospective inference as the full-cohort design with significant cost-saving benefits. In this paper, we study the modeling and inference of a family of generalized MRL models under case-cohort and nested case-control designs. Built upon the idea of inverse selection probability, the weighted estimating equations are constructed to estimate regression parameters and baseline MRL function. Asymptotic properties of the proposed estimators are established and finite-sample performance is evaluated by extensive numerical simulations. An application to the New York University Women's Health Study is presented to illustrate the proposed models and demonstrate a model diagnostic method to guide practical implementation.
PMID: 32529421
ISSN: 1572-9249
CID: 4478632
Assessing the Impact of a Rapidly Scaled Virtual Urgent Care in New York City During the COVID-19 Pandemic
Koziatek, Christian A; Rubin, Ada; Lakdawala, Viraj; Lee, David C; Swartz, Jordan; Auld, Elizabeth; Smith, Silas W; Reddy, Harita; Jamin, Catherine; Testa, Paul; Femia, Robert; Caspers, Christopher
BACKGROUND:The coronavirus disease (COVID)-19 pandemic quickly challenged New York City health care systems. Telemedicine has been suggested to manage acute complaints and divert patients from in-person care. OBJECTIVES/OBJECTIVE:The objective of this study was to describe and assess the impact of a rapidly scaled virtual urgent care platform during the COVID-19 pandemic. METHODS:This was a retrospective cohort study of all patients who presented to a virtual urgent care platform over 1Â month during the COVID-19 pandemic surge. We described scaling our telemedicine urgent care capacity, described patient clinical characteristics, assessed for emergency department (ED) referrals, and analyzed postvisit surveys. RESULTS:During the study period, a total of 17,730 patients were seen via virtual urgent care; 454 (2.56%) were referred to an ED. The most frequent diagnoses were COVID-19 related or upper respiratory symptoms. Geospatial analysis indicated a wide catchment area. There were 251 providers onboarded to the platform; at peak, 62 providers supplied 364Â h of coverage in 1Â day. The average patient satisfaction score was 4.4/5. There were 2668 patients (15.05%) who responded to the postvisit survey; 1236 (49.35%) would have sought care in an ED (11.86%) or in-person urgent care (37.49%). CONCLUSIONS:A virtual urgent care platform was scaled to manage a volume of more than 800 patients a day across a large catchment area during the pandemic surge. About half of the patients would otherwise have presented to an ED or urgent care in person. Virtual urgent care is an option for appropriate patients while minimizing in-person visits during the COVID-19 pandemic.
PMCID:7290166
PMID: 32737005
ISSN: 0736-4679
CID: 4552202
Acceleration of kidney function decline after incident hospitalization with cardiovascular disease: the Stockholm CREAtinine Measurements (SCREAM) project
Ishigami, Junichi; Trevisan, Marco; Lund, Lars H; Jernberg, Tomas; Coresh, Josef; Matsushita, Kunihiro; Carrero, Juan-Jesus
AIMS:The cardiorenal syndrome refers to a bidirectional relationship between the kidney and the heart. However, epidemiological evidence of cardiovascular disease (CVD) as a risk factor for chronic kidney disease (CKD) progression is actually scarce. METHODS AND RESULTS:). CONCLUSIONS:Incident hospitalization with cardiac diseases (i.e. HF and CHD) was significantly associated with a subsequent acceleration of eGFR decline.
PMID: 32683762
ISSN: 1879-0844
CID: 5585752