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Luo G, Chen T, Letterio JJ. LOCC: a novel visualization and scoring of cutoffs for continuous variables with hepatocellular carcinoma prognosis as an example. BMC Bioinformatics 2024; 25:314. [PMID: 39333873 PMCID: PMC11438210 DOI: 10.1186/s12859-024-05932-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Accepted: 09/16/2024] [Indexed: 09/30/2024] Open
Abstract
BACKGROUND The interpretation of large datasets, such as The Cancer Genome Atlas (TCGA), for scientific and research purposes, remains challenging despite their public availability. In this study, we focused on identifying gene expression profiles most relevant to patient prognosis and aimed to develop a method and database to address this issue. To achieve this, we introduced Luo's Optimization Categorization Curve (LOCC), an innovative tool for visualizing and scoring continuous variables against dichotomous outcomes. To demonstrate the efficacy of LOCC using real-world data, we analyzed gene expression profiles and patient data from TCGA hepatocellular carcinoma samples. RESULTS To showcase LOCC, we demonstrate an optimal cutoff for E2F1 expression in hepatocellular carcinoma, which was subsequently validated in an independent cohort. Compared to ROC curves and their AUC, LOCC offered a superior description of the predictive value of E2F1 expression across various cancer types. The LOCC score, comprised of factors representing significance, range, and impact of the biomarker, facilitated the ranking of all gene expression profiles in hepatocellular carcinoma, aiding in the evaluation and understanding of previously published prognostic gene signatures. We also demonstrate that LOCC does not have the same assumptions required of Cox proportional hazards modeling for accurate analysis. Repeated sampling demonstrated that LOCC scores outperformed ROC's AUC in discriminating predictors from non-predictors. Additionally, gene set enrichment analysis revealed significant associations between certain genes and prognosis, such as E2F target genes and G2M checkpoint with poor prognosis, and bile acid metabolism and oxidative phosphorylation with good prognosis. CONCLUSION In summary, we present LOCC as a novel visualization tool for the analysis of gene expression in cancer, particularly for understanding and selecting cutoffs. Our findings suggest that LOCC scores, which effectively rank genes based on their prognostic potential, represent a more suitable approach than ROC curves and Cox proportional hazard for prognostic modeling and understanding in cancer gene expression analysis. LOCC holds promise as an invaluable tool for advancing precision medicine and furthering biomarker research. Further research regarding multivariable integration and validation will help LOCC reach its full potential and establish its utility across diverse cancer types and clinical settings.
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Affiliation(s)
- George Luo
- Department of Pathology, Case Western Reserve University School of Medicine, 2103 Cornell Rd., Wolstein Research Bldg. Rm 3501, Cleveland, OH, 44106, USA.
| | - Toby Chen
- School of Medicine, University of Michigan, Ann Arbor, MI, USA
| | - John J Letterio
- The Angie Fowler Adolescent and Young Adult Cancer Institute, University Hospitals Rainbow Babies & Children's Hospital, Cleveland, OH, USA
- The Case Comprehensive Cancer Center, Cleveland, OH, USA
- Department of Pediatrics, Case Western Reserve University, Cleveland, OH, USA
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Khandpur S, Mishra P, Mishra S, Tiwari S. Challenges in predictive modelling of chronic kidney disease: A narrative review. World J Nephrol 2024; 13:97214. [PMID: 39351189 PMCID: PMC11439095 DOI: 10.5527/wjn.v13.i3.97214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2024] [Revised: 08/27/2024] [Accepted: 08/29/2024] [Indexed: 09/19/2024] Open
Abstract
The exponential rise in the burden of chronic kidney disease (CKD) worldwide has put enormous pressure on the economy. Predictive modeling of CKD can ease this burden by predicting the future disease occurrence ahead of its onset. There are various regression methods for predictive modeling based on the distribution of the outcome variable. However, the accuracy of the predictive model depends on how well the model is developed by taking into account the goodness of fit, choice of covariates, handling of covariates measured on a continuous scale, handling of categorical covariates, and number of outcome events per predictor parameter or sample size. Optimal performance of a predictive model on an independent cohort is desired. However, there are several challenges in the predictive modeling of CKD. Disease-specific methodological challenges hinder the development of a predictive model that is cost-effective and universally applicable to predict CKD onset. In this review, we discuss the advantages and challenges of various regression models available for predictive modeling and highlight those best for future CKD prediction.
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Affiliation(s)
- Sukhanshi Khandpur
- Department of Molecular Medicine & Biotechnology, Sanjay Gandhi Post Graduate Institute of Medical Science, Lucknow 226014, Uttar Pradesh, India
| | - Prabhaker Mishra
- Department of Biostatistics and Health Informatics, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow 226014, Uttar Pradesh, India
| | - Shambhavi Mishra
- Department of Statistics, University of Lucknow, Lucknow 226007, Uttar Pradesh, India
| | - Swasti Tiwari
- Department of Molecular Medicine & Biotechnology, Sanjay Gandhi Post Graduate Institute of Medical Science, Lucknow 226014, Uttar Pradesh, India
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Hills J, Mundis GM, Klineberg EO, Smith JS, Line B, Gum JL, Protopsaltis TS, Hamilton DK, Soroceanu A, Eastlack R, Nunley P, Kebaish KM, Lenke LG, Hostin RA, Gupta MC, Kim HJ, Ames CP, Burton DC, Shaffrey CI, Schwab FJ, Lafage V, Lafage R, Bess S, Kelly MP. The T4-L1-Hip Axis: Sagittal Spinal Realignment Targets in Long-Construct Adult Spinal Deformity Surgery: Early Impact. J Bone Joint Surg Am 2024:00004623-990000000-01201. [PMID: 39292767 DOI: 10.2106/jbjs.23.00372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/20/2024]
Abstract
BACKGROUND Our understanding of the relationship between sagittal alignment and mechanical complications is evolving. In normal spines, the L1-pelvic angle (L1PA) accounts for the magnitude and distribution of lordosis and is strongly associated with pelvic incidence (PI), and the T4-pelvic angle (T4PA) is within 4° of the L1PA. We aimed to examine the clinical implications of realignment to a normal L1PA and T4-L1PA mismatch. METHODS A prospective multicenter adult spinal deformity registry was queried for patients who underwent fixation from the T1-T5 region to the sacrum and had 2-year radiographic follow-up. Normal sagittal alignment was defined as previously described for normal spines: L1PA = PI × 0.5 - 21°, and T4-L1PA mismatch = 0°. Mechanical failure was defined as severe proximal junctional kyphosis (PJK), displaced rod fracture, or reoperation for junctional failure, pseudarthrosis, or rod fracture within 2 years. Multivariable nonlinear logistic regression was used to define target ranges for L1PA and T4-L1PA mismatch that minimized the risk of mechanical failure. The relationship between changes in T4PA and changes in global sagittal alignment according to the C2-pelvic angle (C2PA) was determined using linear regression. Lastly, multivariable regression was used to assess associations between initial postoperative C2PA and patient-reported outcomes at 1 year, adjusting for preoperative scores and age. RESULTS The median age of the 247 included patients was 64 years (interquartile range, 57 to 69 years), and 202 (82%) were female. Deviation from a normal L1PA or T4-L1PA mismatch in either direction was associated with a significantly higher risk of mechanical failure, independent of age. Risk was minimized with an L1PA of PI × 0.5 - (19° ± 2°) and T4-L1PA mismatch between -3° and +1°. Changes in T4PA and in C2PA at the time of final follow-up were strongly associated (r2 = 0.96). Higher postoperative C2PA was independently associated with more disability, more pain, and worse self-image at 1 year. CONCLUSIONS We defined sagittal alignment targets using L1PA (relative to PI) and the T4-L1PA mismatch, which are both directly modifiable during surgery. In patients undergoing long fusion to the sacrum, realignment based on these targets may lead to fewer mechanical failures. LEVEL OF EVIDENCE Therapeutic Level III. See Instructions for Authors for a complete description of levels of evidence.
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Affiliation(s)
- Jeffrey Hills
- Department of Orthopedic Surgery, University of Texas, San Antonio, Texas
| | - Gregory M Mundis
- Division of Orthopedic Surgery, Scripps Clinic, La Jolla, California
| | - Eric O Klineberg
- Department of Orthopedic Surgery, University of California Davis, Sacramento, California
| | - Justin S Smith
- Department of Neurosurgery, University of Virginia, Charlottesville, Virginia
| | - Breton Line
- Department of Spine Surgery, Denver International Spine Clinic, Presbyterian St. Luke's/Rocky Mountain Hospital for Children, Denver, Colorado
| | - Jeffrey L Gum
- Department of Orthopedic Surgery, Norton Leatherman Spine Center, Louisville, Kentucky
| | | | - D Kojo Hamilton
- Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Alex Soroceanu
- Department of Orthopaedic Surgery, University of Calgary, Calgary, Alberta, Canada
| | - Robert Eastlack
- Division of Orthopedic Surgery, Scripps Clinic, La Jolla, California
| | | | - Khaled M Kebaish
- Department of Orthopedic Surgery, The Johns Hopkins Medical Institutions, Baltimore, Maryland
| | - Lawrence G Lenke
- Department of Orthopaedic Surgery, Columbia College of Physicians and Surgeons, New York, NY
| | - Richard A Hostin
- Department of Orthopedic Surgery, Baylor Scoliosis Center, Dallas, Texas
| | - Munish C Gupta
- Department of Orthopedic Surgery, Washington University in St. Louis, St. Louis, Missouri
| | - Han Jo Kim
- Department of Orthopedics, Hospital for Special Surgery, New York, NY
| | - Christopher P Ames
- Department of Neurosurgery, University of California San Francisco, San Francisco, California
| | - Douglas C Burton
- Department of Orthopaedic Surgery, University of Kansas Medical Center, Kansas City, Kansas
| | - Christopher I Shaffrey
- Spine Division, Departments of Neurosurgery and Orthopaedic Surgery, Duke University School of Medicine, Durham, North Carolina
| | - Frank J Schwab
- Department of Orthopaedics, Lenox Hill Hospital, Northwell Health, New York, NY
| | - Virginie Lafage
- Department of Orthopaedics, Lenox Hill Hospital, Northwell Health, New York, NY
| | - Renaud Lafage
- Department of Orthopaedics, Lenox Hill Hospital, Northwell Health, New York, NY
| | - Shay Bess
- Rocky Mountain Scoliosis and Spine, Denver, Colorado
| | - Michael P Kelly
- Department of Orthopedic Surgery, Rady Children's Hospital, University of California San Diego, San Diego, California
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Liu Y, Frazier PA. The Role of the COVID-19 Pandemic and Marginalized Identities in US Medical Students' Burnout, Career Regret, and Medical School Experiences. J Clin Psychol Med Settings 2024:10.1007/s10880-024-10045-1. [PMID: 39242464 DOI: 10.1007/s10880-024-10045-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/19/2024] [Indexed: 09/09/2024]
Abstract
Little is known about the impact of the COVID-19 pandemic on medical students. We examined medical students' burnout, career regret, and medical school experiences from before to during the pandemic, and differences between students from marginalized and nonmarginalized groups. We analyzed data from 2019 to 2022 Association of American Medical Colleges Year Two Questionnaires (N = 52,152) and Graduation Questionnaires (N = 66,795). Given large samples, we focused on effect sizes versus statistical significance. All effects of study year were less than small (η2 < .01) indicating minimal differences in medical students' burnout, career regret, and school experiences from before (2019) to during (2020-2022) the pandemic. Interactions between study year and demographic characteristics (gender, race-ethnicity, sexual orientation) were less than small; thus, students from marginalized groups were not affected more by the pandemic than others. Across study years, women reported more exhaustion and discrimination than men. Black students reported more discrimination than students from other racial-ethnic groups; bisexual students reported more discrimination than heterosexual students (all ds > 0.20). Differences between students from marginalized and nonmarginalized groups were bigger than the effects of the pandemic, suggesting a need for system-level interventions to foster inclusion in medical education.
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Affiliation(s)
- Yuchen Liu
- Department of Psychology, University of Minnesota-Twin Cities, 75 East River Road, N218 Elliott Hall, Minneapolis, MN, 55455, USA
| | - Patricia A Frazier
- Department of Psychology, University of Minnesota-Twin Cities, 75 East River Road, N218 Elliott Hall, Minneapolis, MN, 55455, USA.
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Seebeck J, Sznajder KK, Kjerulff KH. The association between prenatal psychosocial factors and autism spectrum disorder in offspring at 3 years: a prospective cohort study. Soc Psychiatry Psychiatr Epidemiol 2024; 59:1639-1649. [PMID: 37556019 DOI: 10.1007/s00127-023-02538-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 07/30/2023] [Indexed: 08/10/2023]
Abstract
PURPOSE Few studies of risk factors for autism spectrum disorder (ASD) have been prospective in design or investigated the role of psychosocial factors measured during pregnancy. We aimed to investigate associations between prenatal psychosocial factors and risk of ASD in offspring, as part of a multicenter prospective cohort study of more than 2000 mother-child pairs. METHODS Nulliparous women aged 18-35 years, living in Pennsylvania, USA, were interviewed during pregnancy and multiple times postpartum over the course of a 3-year period. There were 2388 mothers who completed the Screen for Social Interaction Toddler Version (SSI-T), a measure of risk of ASD, when their child was 3-years old. Multivariable logistic regression models were used to investigate the associations between prenatal psychosocial factors-including total scores on three scales (social-support, stress and depression), trouble paying for basic needs, mental illness diagnosis and use of antidepressants-and risk of ASD in offspring at the age of 3-years, controlling for relevant confounding variables. RESULTS There were 102 children (4.3%) who were scored as at-risk of ASD at 3-years. Prenatal psychosocial factors that were significantly associated with risk of ASD in the adjusted models were lower social-support (p < 0.001); stress (p = 0.003): depression (< 0.001), trouble paying for basic needs (p = 0.012), mental illness diagnosis (p = 0.016), and use of antidepressants (p < 0.001). CONCLUSION These findings suggest that maternal experience of adverse psychosocial factors during pregnancy may be important intrauterine exposures related to the pathogenesis of ASD.
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Navani RV, Dayawansa NH, Nanayakkara S, Palmer S, Noaman S, Htun NM, Walton AS, Peter K, Stub D. Post-Procedure Monocyte Count Levels Predict Major Adverse Cardiovascular Events (MACE) Following Transcatheter Aortic Valve Implantation (TAVI) for Aortic Stenosis. Heart Lung Circ 2024; 33:1340-1347. [PMID: 38845242 DOI: 10.1016/j.hlc.2024.03.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Revised: 03/23/2024] [Accepted: 03/25/2024] [Indexed: 09/14/2024]
Abstract
BACKGROUND Aortic stenosis has recently been characterised as having an inflammatory aetiology, beyond the traditional degenerative model. Recruitment of monocytes has been associated with inflammation contributing to progression of calcific aortic-valve disease. Prior research has demonstrated that pre-procedure inflammatory biomarkers do not consistently discriminate poorer outcomes in those with aortic stenosis. It remains, however, unclear if postprocedure inflammatory biomarkers, which are influenced by intraprocedural pro-inflammatory insults, can predict major adverse cardiovascular events (MACE) post transcatheter aortic valve implantation (TAVI). METHOD All patients with postprocedure monocyte levels undergoing transcatheter aortic valve implantation at The Alfred Hospital, Melbourne, Australia (2008-2019) were included. The highest monocyte count from postprocedure days 1 to 3 was used. Patients were divided into "high" or "low" postprocedure monocyte count groups using the Youden Index. The incidence of 30-day MACE a composite of stroke, acute myocardial infarction, and death) was then compared. RESULTS In total, 472 patients were included (54% men, median age 84 years). Fourteen (14) patients (3%) suffered a 30-day MACE. Those with high postprocedure monocyte count were more likely to: be hypertensive (p=0.049); have a higher Society of Thoracic Surgeons risk score (p=0.032); and, undergo non-transfemoral access (p=0.018). A high (≥0.975) postprocedure monocyte count was significantly associated with 30-day MACE (odds ratio [OR] 1.16 for each 0.1 increase in monocyte, p=0.025). This association remained present on multivariable analysis adjusted for age, sex, Society of Thoracic Surgeons risk score, and self-expanding valve prosthesis type (OR 1.17, p=0.028). CONCLUSIONS The association between postprocedure monocytosis and 30-day MACE suggests that minimising peri-procedural inflammatory insults may improve outcomes. This inexpensive and readily available biomarker may also aid in tailored risk stratification for patients.
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Affiliation(s)
- Rohan V Navani
- Department of Cardiology, Alfred Hospital, Melbourne, Vic, Australia. https://www.twitter.com/RohanNavani
| | - Nalin H Dayawansa
- Department of Cardiology, Alfred Hospital, Melbourne, Vic, Australia; Atherothrombosis and Vascular Biology Laboratory, Baker Heart & Diabetes Institute, Melbourne, Vic, Australia; School of Translational Medicine, Monash University, Melbourne, Vic, Australia
| | - Shane Nanayakkara
- Department of Cardiology, Alfred Hospital, Melbourne, Vic, Australia; Atherothrombosis and Vascular Biology Laboratory, Baker Heart & Diabetes Institute, Melbourne, Vic, Australia; School of Translational Medicine, Monash University, Melbourne, Vic, Australia
| | - Sonny Palmer
- Department of Cardiology, Alfred Hospital, Melbourne, Vic, Australia; Department of Medicine, The University of Melbourne, Melbourne, Vic, Australia
| | - Samer Noaman
- Department of Cardiology, Alfred Hospital, Melbourne, Vic, Australia
| | - Nay M Htun
- Department of Cardiology, Alfred Hospital, Melbourne, Vic, Australia
| | - Antony S Walton
- Department of Cardiology, Alfred Hospital, Melbourne, Vic, Australia; School of Translational Medicine, Monash University, Melbourne, Vic, Australia
| | - Karlheinz Peter
- Department of Cardiology, Alfred Hospital, Melbourne, Vic, Australia; Atherothrombosis and Vascular Biology Laboratory, Baker Heart & Diabetes Institute, Melbourne, Vic, Australia; School of Translational Medicine, Monash University, Melbourne, Vic, Australia
| | - Dion Stub
- Department of Cardiology, Alfred Hospital, Melbourne, Vic, Australia; School of Translational Medicine, Monash University, Melbourne, Vic, Australia.
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Liu RL, Chen XQ, Zheng QX, Li JN, Zhu Y, Huang L, Pan YQ, Jiang XM. Impact of dietary inflammatory index on gestational diabetes mellitus in normal and overweight women: a systematic review and meta-analysis of observational studies. Asia Pac J Clin Nutr 2024; 33:298-312. [PMID: 38965719 PMCID: PMC11389818 DOI: 10.6133/apjcn.202409_33(3).0002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/06/2024]
Abstract
BACKGROUND AND OBJECTIVES To systematically investigate the association between the dietary inflammatory index (DII) and gestational diabetes mellitus (GDM), with a focus on the role of BMI in this relationship. METHODS AND STUDY DESIGN A comprehensive search was conducted in PubMed, Embase, Web of Science, The Cochrane Library, Medline, CINAHL Complete, Chinese Periodical Full-text Database, China National Knowledge Infrastructure, Chinese Biomedical Literature Database, and China Wanfang Database for rele-vant observational studies published up to August 2023. The quality of the included studies was assessed using the Newcastle-Ottawa Scale. The pooled effect size was calculated using a random-effects model. Sub-group and meta-regression analyses were performed to explore potential sources of heterogeneity. RESULTS The study included 54,058 participants from 10 studies. Pregnant women with a higher DII, indicating a pro-inflammatory diet, had a significantly increased risk of GDM compared to those with a lower DII, indicating an anti-inflammatory diet (pooled OR: 1.17, 95% CI: 1.01-1.36; I²=70%, p <0.001). Subgroup analyses revealed a stronger association in normal weight stratification (OR: 1.25, 95%CI: 1.04-1.51), case-control studies (OR: 1.45, 95%CI: 1.03-2.05), Asia (OR: 1.26, 95%CI: 1.10-1.43), Europe (OR: 1.27, 95%CI: 1.09-1.48), 3-day dietary record as a dietary assessment tool (OR: 1.30, 95%CI: 1.16-1.46), physical activity adjustment (OR: 1.28, 95%CI: 1.13-1.46), and energy intake adjustment (OR: 1.33, 95%CI: 1.19-1.48). Meta-regression analysis confirmed that geographical region significantly influenced heterogeneity between studies (p <0.05). CONCLUSIONS An elevated DII is independently linked to a higher risk of GDM, especially in women of normal weight.
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Affiliation(s)
- Ru-Lin Liu
- School of Nursing, Fujian Medical University, Fuzhou, Fujian, China
- Department of Nursing, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Fujian, China
| | - Xiao-Qian Chen
- Department of Nursing, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Fujian, China
- Department of Nursing, Fujian Obstetrics and Gynecology Hospital, Fuzhou, Fujian, China
| | - Qing-Xiang Zheng
- Department of Nursing, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Fujian, China
- Department of Nursing, Fujian Obstetrics and Gynecology Hospital, Fuzhou, Fujian, China
| | - Jia-Ning Li
- School of Nursing, Fujian Medical University, Fuzhou, Fujian, China
| | - Yu Zhu
- School of Nursing, Fujian Medical University, Fuzhou, Fujian, China
| | - Ling Huang
- School of Nursing, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China
| | - Yu-Qing Pan
- Department of Nursing, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Fujian, China
- Department of Nursing, Fujian Obstetrics and Gynecology Hospital, Fuzhou, Fujian, China
| | - Xiu-Min Jiang
- Department of Nursing, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Fujian, China.
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Peluso A, Rastogi D, Klasky HB, Logan J, Maguire D, Grant J, Christian B, Hanson HA. Environmental determinants of health: Measuring multiple physical environmental exposures at the United States census tract level. Health Place 2024; 89:103303. [PMID: 38971046 DOI: 10.1016/j.healthplace.2024.103303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Revised: 06/19/2024] [Accepted: 06/20/2024] [Indexed: 07/08/2024]
Abstract
Physical environment plays a key role in determining human health risks. Exposure to toxins, weather extremes, degraded air and water quality, high levels of noise and limited accessibility to green areas can negatively affect health. Furthermore, adverse environmental exposures are often correlated with each other and with socioeconomic status, thereby compounding disadvantages in marginalized populations. Moreover, despite their importance in determining human health risks, the role of multiple environmental exposures is not well studied, and only a few resources contain aggregate environmental exposure data and only for selected areas of the contiguous US. To fill these gaps, we took a cumulative approach to measuring the environment by generating a composite Multi-Exposure Environmental Index (MEEI) as a US Census Tract-level summary of key environmental factors with known health effects. This measure quantifies multiple environmental exposures in the same area that can result in additive and synergistic effects on health outcomes. This information is crucial to better understand and possibly leverage environmental determinants of health for informed policy-making and intervention.
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Affiliation(s)
- Alina Peluso
- Oak Ridge National Laboratory, Oak Ridge, TN, 37830, USA.
| | | | - Hilda B Klasky
- Oak Ridge National Laboratory, Oak Ridge, TN, 37830, USA
| | - Jeremy Logan
- Oak Ridge National Laboratory, Oak Ridge, TN, 37830, USA
| | | | - Josh Grant
- Oak Ridge National Laboratory, Oak Ridge, TN, 37830, USA
| | | | - Heidi A Hanson
- Oak Ridge National Laboratory, Oak Ridge, TN, 37830, USA
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Losciale JM, Truong LK, Ward P, Collins GS, Bullock GS. Limitations of Separating Athletes into High or Low-Risk Groups based on a Cut-Off. A Clinical Commentary. Int J Sports Phys Ther 2024; 19:1151-1164. [PMID: 39229450 PMCID: PMC11368444 DOI: 10.26603/001c.122644] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Accepted: 07/19/2024] [Indexed: 09/05/2024] Open
Abstract
Background Athlete injury risk assessment and management is an important, yet challenging task for sport and exercise medicine professionals. A common approach to injury risk screening is to stratify athletes into risk groups based on their performance on a test relative to a cut-off threshold. However, one potential reason for ineffective injury prevention efforts is the over-reliance on identifying these 'at-risk' groups using arbitrary cut-offs for these tests and measures. The purpose of this commentary is to discuss the conceptual and technical issues related to the use of a cut-off in both research and clinical practice. Clinical Question How can we better assess and interpret clinical tests or measures to enable a more effective injury risk assessment in athletes? Key Results Cut-offs typically lack strong biologic plausibility to support them; and are typically derived in a data-driven manner and thus not generalizable to other samples. When a cut-off is used in analyses, information is lost, leading to potentially misleading results and less accurate injury risk prediction. Dichotomizing a continuous variable using a cut-off should be avoided. Using continuous variables on its original scale is advantageous because information is not discarded, outcome prediction accuracy is not lost, and personalized medicine can be facilitated. Clinical Application Researchers and clinicians are encouraged to analyze and interpret the results of tests and measures using continuous variables and avoid relying on singular cut-offs to guide decisions. Injury risk can be predicted more accurately when using continuous variables in their natural form. A more accurate risk prediction will facilitate personalized approaches to injury risk mitigation and may lead to a decline in injury rates. Level of Evidence 5.
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Affiliation(s)
| | - Linda K. Truong
- Physical TherapyUniversity of British Columbia
- Arthritis Research Canada
| | | | - Gary S. Collins
- Center for Statistics, Nuffield Department of Rheumatology and Musculoskeletal SciencesUniversity of Oxford
| | - Garrett S. Bullock
- Centre for Sport and ExerciseVersus Arthritis
- Biostatistics and Data ScienceWake Forest University
- Orthopedic Surgery & RehabilitationWake Forest University
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Li N, Hu YD, Jiang Y, Ling L, Wang CH, Shao JM, Li SB, Di WY. Integrating clinical and biochemical markers: a novel nomogram for predicting lacunes in cerebral small vessel disease. Front Aging Neurosci 2024; 16:1404836. [PMID: 39246593 PMCID: PMC11377284 DOI: 10.3389/fnagi.2024.1404836] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Accepted: 08/07/2024] [Indexed: 09/10/2024] Open
Abstract
Background Lacunes, a characteristic feature of cerebral small vessel disease (CSVD), are critical public health concerns, especially in the aging population. Traditional neuroimaging techniques often fall short in early lacune detection, prompting the need for more precise predictive models. Methods In this retrospective study, 587 patients from the Neurology Department of the Affiliated Hospital of Hebei University who underwent cranial MRI were assessed. A nomogram for predicting lacune incidence was developed using LASSO regression and binary logistic regression analysis for variable selection. The nomogram's performance was quantitatively assessed using AUC-ROC, calibration plots, and decision curve analysis (DCA) in both training (n = 412) and testing (n = 175) cohorts. Results Independent predictors identified included age, gender, history of stroke, carotid atherosclerosis, hypertension, creatinine, and homocysteine levels. The nomogram showed an AUC-ROC of 0.814 (95% CI: 0.791-0.870) for the training set and 0.805 (95% CI: 0.782-0.843) for the testing set. Calibration and DCA corroborated the model's clinical value. Conclusion This study introduces a clinically useful nomogram, derived from binary logistic regression, that significantly enhances the prediction of lacunes in patients undergoing brain MRI for various indications, potentially advancing early diagnosis and intervention. While promising, its retrospective design and single-center context are limitations that warrant further research, including multi-center validation.
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Affiliation(s)
- Ning Li
- Department of Neurology, Affiliated Hospital of Hebei University, Baoding, Hebei, China
| | - Ya-Dong Hu
- Department of Neurology, Affiliated Hospital of Hebei University, Baoding, Hebei, China
| | - Ye Jiang
- Department of Neurology, Affiliated Hospital of Hebei University, Baoding, Hebei, China
| | - Li Ling
- Department of Neurology, Affiliated Hospital of Hebei University, Baoding, Hebei, China
| | - Chu-Han Wang
- Department of Neurology, Affiliated Hospital of Hebei University, Baoding, Hebei, China
| | - Jia-Min Shao
- Department of Neurology, Affiliated Hospital of Hebei University, Baoding, Hebei, China
| | - Si-Bo Li
- Department of Neurology, Affiliated Hospital of Hebei University, Baoding, Hebei, China
| | - Wei-Ying Di
- Department of Neurology, Affiliated Hospital of Hebei University, Baoding, Hebei, China
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Wang CH, Porta L, Yang TK, Wang YH, Wu TH, Qian F, Han YY, Sheng WH, Chen SC, Lee CC, Chang SC. Optimal methods of vitamin D supplementation to prevent acute respiratory infections: a systematic review, dose-response and pairwise meta-analysis of randomized controlled trials. Nutr J 2024; 23:92. [PMID: 39143549 PMCID: PMC11323636 DOI: 10.1186/s12937-024-00990-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 07/29/2024] [Indexed: 08/16/2024] Open
Abstract
BACKGROUND Vitamin D supplementation may prevent acute respiratory infections (ARIs). This study aimed to identify the optimal methods of vitamin D supplementation. METHODS PubMed, Embase, Cochrane Central Register of Controlled Trials, Web of Science, and the ClinicalTrials.gov registry were searched from database inception through July 13, 2023. Randomized-controlled trials (RCTs) were included. Data were pooled using random-effects model. The primary outcome was the proportion of participants with one or more ARIs. RESULTS The analysis included 43 RCTs with 49320 participants. Forty RCTs were considered to be at low risk for bias. The main pairwise meta-analysis indicated there were no significant preventive effects of vitamin D supplementation against ARIs (risk ratio [RR]: 0.99, 95% confidence interval [CI]: 0.97 to 1.01, I2 = 49.6%). The subgroup dose-response meta-analysis indicated that the optimal vitamin D supplementation doses ranged between 400-1200 IU/day for both summer-sparing and winter-dominant subgroups. The subgroup pairwise meta-analysis also revealed significant preventive effects of vitamin D supplementation in subgroups of daily dosing (RR: 0.92, 95% CI: 0.85 to 0.99, I2 = 55.7%, number needed to treat [NNT]: 36), trials duration < 4 months (RR: 0.81, 95% CI: 0.67 to 0.97, I2 = 48.8%, NNT: 16), summer-sparing seasons (RR: 0.85, 95% CI: 0.74 to 0.98, I2 = 55.8%, NNT: 26), and winter-dominant seasons (RR: 0.79, 95% CI: 0.71 to 0.89, I2 = 9.7%, NNT: 10). CONCLUSION Vitamin D supplementation may slightly prevent ARIs when taken daily at doses between 400 and 1200 IU/d during spring, autumn, or winter, which should be further examined in future clinical trials.
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Affiliation(s)
- Chih-Hung Wang
- Department of Emergency Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
- Department of Emergency Medicine, Zhongzheng Dist, National Taiwan University Hospital, No.7, Zhongshan S. Rd, Taipei City 100, Taiwan, ROC
| | - Lorenzo Porta
- Department of Emergency Medicine, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
- School of Medicine and Surgery, Department of Emergency Medicine, Università Degli Studi Di Milano Bicocca, Milan, Italy
| | - Ting-Kai Yang
- Department of Emergency Medicine, Zhongzheng Dist, National Taiwan University Hospital, No.7, Zhongshan S. Rd, Taipei City 100, Taiwan, ROC
| | - Yu-Hsiang Wang
- College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Tsung-Hung Wu
- College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Frank Qian
- Sections of Cardiovascular Medicine, Department of Medicine, Boston University, Avedisian School of Medicine, Chobanian &, Boston, MA, USA
| | - Yin-Yi Han
- Department of Trauma, National Taiwan University Hospital, Taipei, Taiwan
| | - Wang-Huei Sheng
- College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Shyr-Chyr Chen
- Department of Emergency Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
- Department of Emergency Medicine, Zhongzheng Dist, National Taiwan University Hospital, No.7, Zhongshan S. Rd, Taipei City 100, Taiwan, ROC
| | - Chien-Chang Lee
- Department of Emergency Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan.
- Department of Emergency Medicine, Zhongzheng Dist, National Taiwan University Hospital, No.7, Zhongshan S. Rd, Taipei City 100, Taiwan, ROC.
- Department of Information Management, Ministry of Health and Welfare, Taipei, Taiwan.
| | - Shan-Chwen Chang
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
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Mirzaei S, DeVon HA, Cantor RM, Cupido A, Fernandes Silva L, Laakso M, Lusis AJ. Gut microbe-derived metabolites and the risk of cardiovascular disease in the METSIM cohort. Front Microbiol 2024; 15:1411328. [PMID: 39149211 PMCID: PMC11324590 DOI: 10.3389/fmicb.2024.1411328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Accepted: 07/15/2024] [Indexed: 08/17/2024] Open
Abstract
Background An association between gut microbes and cardiovascular disease (CVD) has been established, but the underlying mechanisms remain largely unknown. Methods We conducted a secondary analysis of the cross-sectional data obtained from the Metabolic Syndrome in Men (METSIM) population-based cohort of 10,194 Finnish men (age = 57.65 ± 7.12 years). We tested the levels of circulating gut microbe-derived metabolites as predictors of CVD, ischemic cerebrovascular accident (CVA), and myocardial infarction (MI). The Kaplan-Meier method was used to estimate the time from the participants' first outpatient clinic visit to the occurrence of adverse outcomes. The associations between metabolite levels and the outcomes were assessed using Cox proportional hazard models. Results During a median follow-up period of 200 months, 979 participants experienced CVD, 397 experienced CVA, and 548 experienced MI. After adjusting for traditional risk factors and correcting for multiple comparisons, higher plasma levels of succinate [quartile 4 vs. quartile 1; adjusted hazard ratio, aHR = 1.30, (confidence interval (CI), 1.10-1.53) p = 0.0003, adjusted p = 0.01] were significantly associated with the risk of CVD. High plasma levels of ursodeoxycholic acid (UDCA) (quartile 3 vs. quartile 1); [aHR = 1.68, (CI, 1.26-2.2); p = 0.0003, adj. p = 0.01] were associated with a higher risk of CVA. Furthermore, as a continuous variable, succinate was associated with a 10% decrease in the risk of CVD [aHR = 0.9; (CI, 0.84-0.97); p = 0.008] and a 15% decrease in the risk of MI [aHR = 0.85, (CI, 0.77-0.93); p = 0.0007]. Conclusion Gut microbe-derived metabolites, succinate, and ursodeoxycholic acid were associated with CVD, MI, and CVA, respectively. Regulating the gut microbes may represent a potential therapeutic target for modulating CVD and CVA.
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Affiliation(s)
- Sahereh Mirzaei
- Department of Medicine, Division of Cardiology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States
- School of Nursing, University of California, Los Angeles, Los Angeles, CA, United States
| | - Holli A DeVon
- School of Nursing, University of California, Los Angeles, Los Angeles, CA, United States
| | - Rita M Cantor
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States
| | - Arjen Cupido
- Department of Vascular Medicine, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam Cardiovascular Sciences, Amsterdam, Netherlands
| | - Lilian Fernandes Silva
- Department of Medicine, Division of Cardiology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States
- Department of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland
| | - Markku Laakso
- Department of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland
| | - Aldons J Lusis
- Department of Medicine, Division of Cardiology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States
- Department of Human Genetics and Microbiology, Immunology and Molecular Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States
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13
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Ueland TE, Horst SN, Shroder MM, Ye F, Bai K, McCoy AB, Bachmann JM, Hawkins AT. Surgically-relevant quality of life thresholds for the Short Inflammatory Bowel Disease Questionnaire in Crohn's disease. J Gastrointest Surg 2024; 28:1265-1272. [PMID: 38815800 DOI: 10.1016/j.gassur.2024.05.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Revised: 05/12/2024] [Accepted: 05/25/2024] [Indexed: 06/01/2024]
Abstract
BACKGROUND Despite growing interest in patient-reported outcome measures to track the progression of Crohn's disease, frameworks to apply these questionnaires in the preoperative setting are lacking. Using the Short Inflammatory Bowel Disease Questionnaire (sIBDQ), this study aimed to describe the interpretable quality of life thresholds and examine potential associations with future bowel resection in Crohn's disease. METHODS Adult patients with Crohn's disease completing an sIBDQ at a clinic visit between 2020 and 2022 were eligible. A stoplight framework was adopted for sIBDQ scores, including a "Resection Red" zone suggesting poor quality of life that may benefit from discussions about surgery as well as a "Nonoperative Green" zone. Thresholds were identified with both anchor- and distribution-based methods using receiver operating characteristic curve analysis and subgroup percentile scores, respectively. To quantify associations between sIBDQ scores and subsequent bowel resection, multivariable logistic regression models were fit with covariates of age, sex assigned at birth, body mass index, medications, disease pattern and location, resection history, and the Harvey Bradshaw Index. The incremental discriminatory value of the sIBDQ beyond clinical factors was assessed through the area under the receiver operating characteristics curve (AUC) with an internal validation through bootstrap resampling. RESULTS Of the 2003 included patients, 102 underwent Crohn's-related bowel resection. The sIBDQ Nonoperative Green zone threshold ranged from 61 to 64 and the Resection Red zone from 36 to 38. When adjusting for clinical covariates, a worse sIBDQ score was associated with greater odds of subsequent 90-day bowel resection when considered as a 1-point (odds ratio [OR] [95% CI], 1.05 [1.03-1.07]) or 5-point change (OR [95% CI], 1.27 [1.14-1.41]). Inclusion of the sIBDQ modestly improved discriminative performance (AUC [95% CI], 0.85 [0.85-0.86]) relative to models that included only demographics (0.57 [0.57-0.58]) or demographics with clinical covariates (0.83 [0.83-0.84]). CONCLUSION In the decision-making process for bowel resection, disease-specific patient-reported outcome measures may be useful to identify patients with Crohn's disease with poor quality of life and promote a shared understanding of personalized burden.
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Affiliation(s)
- Thomas E Ueland
- Vanderbilt University School of Medicine, Nashville, Tennessee, United States
| | - Sara N Horst
- Department of Gastroenterology, Hepatology, and Nutrition, Vanderbilt University Medical Center, Nashville, Tennessee, United States
| | - Megan M Shroder
- Section of Colon & Rectal Surgery, Division of General Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, United States
| | - Fei Ye
- Vanderbilt University School of Medicine, Nashville, Tennessee, United States; Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, United States
| | - Kun Bai
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, United States
| | - Allison B McCoy
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, United States
| | - Justin M Bachmann
- Division of Cardiovascular Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States; Research Service, Veterans Affairs Tennessee Valley Healthcare System, Nashville, Tennessee, United States
| | - Alexander T Hawkins
- Section of Colon & Rectal Surgery, Division of General Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, United States.
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Turecamo S, Downie CG, Wolska A, Mora S, Otvos JD, Connelly MA, Remaley AT, Conners KM, Joo J, Sampson M, Bielinski SJ, Shearer JJ, Roger VL. Lipoprotein Insulin Resistance Score and Mortality Risk Stratification in Heart Failure. Am J Med 2024; 137:640-648. [PMID: 38583752 PMCID: PMC11213682 DOI: 10.1016/j.amjmed.2024.03.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Revised: 03/26/2024] [Accepted: 03/27/2024] [Indexed: 04/09/2024]
Abstract
BACKGROUND Higher total serum cholesterol is associated with lower mortality in heart failure. Evaluating associations between lipoprotein subfractions and mortality among people with heart failure may provide insights into this observation. METHODS We prospectively enrolled a community cohort of people with heart failure from 2003 to 2012 and assessed vital status through 2021. Plasma collected at enrollment was used to measure lipoprotein subfractions via nuclear magnetic resonance spectroscopy. A composite score of 6 lipoprotein subfractions was generated using the lipoprotein insulin resistance index (LP-IR) algorithm. Using covariate-adjusted proportional hazards regression models, we evaluated associations between LP-IR score and all-cause mortality. RESULTS Among 1382 patients with heart failure (median follow-up 13.9 years), a one-standard-deviation (SD) increment in LP-IR score was associated with lower mortality (hazard ratio [HR] 0.93; 95% confidence interval [CI], 0.97-0.99). Among LP-IR parameters, mean high-density lipoprotein (HDL) particle size was significantly associated with lower mortality (HR per 1-SD decrement in mean HDL particle size = 0.83; 95% CI, 0.78-0.89), suggesting that the inverse association between LP-IR score and mortality may be driven by smaller mean HDL particle size. CONCLUSIONS LP-IR score was inversely associated with mortality among patients with heart failure and may be driven by smaller HDL particle size.
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Affiliation(s)
- Sarah Turecamo
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Carolina G Downie
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Anna Wolska
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Samia Mora
- Center for Lipid Metabolomics, Divisions of Preventive and Cardiovascular Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass
| | - James D Otvos
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | | | - Alan T Remaley
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Katherine M Conners
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Jungnam Joo
- Office of Biostatistics Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Maureen Sampson
- Department of Laboratory Medicine, Clinical Center, National Institutes of Health, Bethesda, MD
| | - Suzette J Bielinski
- Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic College of Medicine and Science, Rochester, Minn
| | - Joseph J Shearer
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Véronique L Roger
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD.
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15
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More S, Bampidis V, Benford D, Bragard C, Hernandez‐Jerez A, Bennekou SH, Koutsoumanis K, Lambré C, Machera K, Mennes W, Mullins E, Nielsen SS, Schlatter J, Schrenk D, Turck D, Younes M, Fletcher T, Greiner M, Ntzani E, Pearce N, Vinceti M, Vrijheid M, Georgiadis M, Gervelmeyer A, Halldorsson TI. Scientific Committee guidance on appraising and integrating evidence from epidemiological studies for use in EFSA's scientific assessments. EFSA J 2024; 22:e8866. [PMID: 38974922 PMCID: PMC11224774 DOI: 10.2903/j.efsa.2024.8866] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/09/2024] Open
Abstract
EFSA requested its Scientific Committee to prepare a guidance document on appraising and integrating evidence from epidemiological studies for use in EFSA's scientific assessments. The guidance document provides an introduction to epidemiological studies and illustrates the typical biases, which may be present in different epidemiological study designs. It then describes key epidemiological concepts relevant for evidence appraisal. This includes brief explanations for measures of association, exposure assessment, statistical inference, systematic error and effect modification. The guidance then describes the concept of external validity and the principles of appraising epidemiological studies. The customisation of the study appraisal process is explained including tailoring of tools for assessing the risk of bias (RoB). Several examples of appraising experimental and observational studies using a RoB tool are annexed to the document to illustrate the application of the approach. The latter part of this guidance focuses on different steps of evidence integration, first within and then across different streams of evidence. With respect to risk characterisation, the guidance considers how evidence from human epidemiological studies can be used in dose-response modelling with several different options being presented. Finally, the guidance addresses the application of uncertainty factors in risk characterisation when using evidence from human epidemiological studies.
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16
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Nakajima K, Sekine A, Higuchi R, Enokido M, Matsui S. Possible pitfalls in the prediction of weight gain in middle-aged normal-weight individuals: Results from the NDB-K7Ps-study-2. Obes Res Clin Pract 2024; 18:255-262. [PMID: 39084944 DOI: 10.1016/j.orcp.2024.07.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 07/08/2024] [Accepted: 07/21/2024] [Indexed: 08/02/2024]
Abstract
BACKGROUND The prevalence of obesity has not decreased worldwide and obesity-related morbidities have been increasing steadily. However, few studies have investigated factors contributing to weight gain in normal-weight individuals. Thus, in this community-based cohort study, we aimed to investigate factors contributing to weight gain in normal-weight participants. METHODS Clinical variables and 10 % increase in weight over 10 years (10 %IBW10Y) were retrospectively investigated in apparently healthy 615,077 normal-weight (body mass index (BMI) 21.0-24.9 kg/m2) participants aged 40-64 years who had regularly undergone health checkup. Machine learning and logistic regression analysis (nested case-control study) were used to predict 10 %IBW10Y. RESULTS In total, 6.8 % of men and 8.9 % of women had 10 %IBW10Y (P < 0.0001). The prevalence of obesity (BMI ≥25.0 kg/m2) after 10 years and weight gain were higher in participants with 10 %IBW10Y (72.3 %, 8.9 kg) (case-group) versus those without 10 %IBW10Y (11.5 %, -0.4 kg) (control-group), respectively. Machine learning showed positive contributing factors to 10 %IBW10Y were, in descending order, age early 40 s, current smoking, female sex, low serum triglyceride (≤59 mg/dL), and low glycated hemoglobin (HbA1c) (≤4.9 %). Age early 60 s, non-smoking, male sex, high triglyceride (≥200 mg/dL), and HbA1c 6.0 %-6.9 % were negative contributing factors. Logistic regression analysis showed similar results except for high HbA1c (≥7.5 %) as a positive contributing factor. CONCLUSIONS In middle-aged individuals with normal weight who undergo regular health check-ups, certain favorable features (female sex, low triglyceride, and low HbA1c), as well as smoking habits that are subject to change in the future, which could lead to weight gain, may be overlooked. 250 <250 words.
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Affiliation(s)
- Kei Nakajima
- Food and Nutrition, Faculty of Human Sciences and Design, Japan Women's University, Bunkyo-ku, Tokyo 112-8681, Japan; Saitama Medical Center, Department of Endocrinology and Diabetes, Saitama Medical University, Kawagoe 350-8550, Japan.
| | - Airi Sekine
- Food and Nutrition, Faculty of Human Sciences and Design, Japan Women's University, Bunkyo-ku, Tokyo 112-8681, Japan
| | - Ryoko Higuchi
- School of Nutrition and Dietetics, Faculty of Health and Social Services, Kanagawa University of Human Services, Yokosuka 238-8522, Japan
| | - Mai Enokido
- Food and Nutrition, Faculty of Human Sciences and Design, Japan Women's University, Bunkyo-ku, Tokyo 112-8681, Japan
| | - Sadako Matsui
- Food and Nutrition, Faculty of Human Sciences and Design, Japan Women's University, Bunkyo-ku, Tokyo 112-8681, Japan
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17
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Hillari L, Frank P, Cadar D. Systemic inflammation, lifestyle behaviours and dementia: A 10-year follow-up investigation. Brain Behav Immun Health 2024; 38:100776. [PMID: 38706574 PMCID: PMC11068506 DOI: 10.1016/j.bbih.2024.100776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 03/17/2024] [Accepted: 04/16/2024] [Indexed: 05/07/2024] Open
Abstract
Objectives Lifestyle behaviours have been linked to dementia incidence, but their cumulative impact on dementia and the underlying mechanisms remain poorly understood. This study investigated the association of co-occurring lifestyle behaviours with dementia incidence and the mediating role of systemic inflammation in this association. Methods The sample comprised 3131 participants (55.2% female) from the English Longitudinal Study of Ageing aged 52-92 years at baseline (2008/09). Self-reported baseline lifestyle behaviours (alcohol intake, fruit and vegetable consumption, smoking, physical activity, sleep duration, social engagement, and cognitive activity) were summed to derive an index of lifestyle behaviours, ranging from 0 to 7, with higher scores denoting a higher number of health-risk behaviours. Incident dementia cases (n = 130, 4.2%) were identified through doctor-diagnosed dementia, informant interviews, and health records between 2014/15 and 2018/19. Systemic inflammation was measured through fasting plasma concentrations of C-reactive protein in 2012/13. Results Binary logistic regression models indicated that the odds of subsequent dementia increased by 1.19 for each additional health-risk behaviour (95% confidence intervals: 1.04, 1.37, p = 0.014) after adjusting for age, sex, ethnicity, wealth, education, marital status, body mass index, coronary heart disease, hypertension, stroke, and depression. However, this association was not mediated by C-reactive protein. Conclusions Co-occurring health-risk behaviours were associated with higher dementia incidence up to 10 years later, underscoring the importance of modifying health-risk behaviours for the prevention of dementia. Systemic inflammation did not explain the association between behaviours and dementia.
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Affiliation(s)
- Leah Hillari
- Behavioural Science and Health, University College London, London, UK
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Philipp Frank
- Behavioural Science and Health, University College London, London, UK
- UCL Brain Sciences, University College London, London, UK
| | - Dorina Cadar
- Behavioural Science and Health, University College London, London, UK
- Centre for Dementia Studies, Brighton and Sussex Medical School, Brighton, UK
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Martin JR, Lockie RG, Fyock-Martin M, Clark NC. Physical fitness profile of a large urban fire department: Exploring age and rank dynamics. Work 2024:WOR240150. [PMID: 38968036 DOI: 10.3233/wor-240150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/07/2024] Open
Abstract
BACKGROUND Firefighter physical fitness (PF) plays a crucial role in mitigating health issues and supporting occupational performance. The influence of rank on firefighter PF remains understudied and previous research is often limited by small sample sizes of firefighters volunteering for research studies, potentially biasing results towards fitter firefighters not representative of entire departments. OBJECTIVE To examine the PF profile of firefighters in a large urban fire department and the influence of age and rank on PF. METHODS Data, including muscular fitness, estimated aerobic capacity (VO2max), and body fat percentage (BF%) measures from 1361 firefighters (90% male; age: 37.4±10.1yrs; 60 recruits, 973 firefighters, 290 lieutenants/captains, 38 chiefs) were analyzed. Correlation and ANCOVAs were conducted to examine the impact of rank on PF while controlling for age. Score distributions were scrutinized to profile the PF of the department. RESULTS Age was negatively associated with pull-ups (r = - 0.39), sit-ups (r = - 0.39), and push-ups (r = - 0.32), but positively associated with relative VO2max (r = 0.17) and BF% (r = 0.39). Rank had a statistically significant, but trivial effect size, on pull-ups (p = 0.028, η2 = 0.007) and sit-ups (p = 0.034, η2 = 0.005). Firefighters with lower PF levels were older, had higher BF%, lower fat-free mass, and were a greater proportion of females. CONCLUSIONS Firefighters exhibited diverse levels of PF. Age, not rank, appeared to influence firefighters' PF. The findings that firefighters who were older, female, with poorer body composition are more likely to have lower PF levels highlights the need for individualized PF training to enhance occupational performance and health across the fire department.
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Affiliation(s)
- Joel R Martin
- Sports Medicine Assessment Research & Testing (SMART) Laboratory, George Mason University, Virginia, USA
| | - Robert G Lockie
- Department of Kinesiology, California State University, Fullerton, Fullerton, CA, USA
| | - Marcie Fyock-Martin
- Sports Medicine Assessment Research & Testing (SMART) Laboratory, George Mason University, Virginia, USA
| | - Nicholas C Clark
- School of Sport, Rehabilitation, and Exercise Sciences, University of Essex, Colchester, Essex, UK
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Witarto BS, Witarto AP, Visuddho V, Wungu CDK, Maimunah U, Rejeki PS, Oceandy D. Gender-specific accuracy of lipid accumulation product index for the screening of metabolic syndrome in general adults: a meta-analysis and comparative analysis with other adiposity indicators. Lipids Health Dis 2024; 23:198. [PMID: 38926783 PMCID: PMC11201307 DOI: 10.1186/s12944-024-02190-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2024] [Accepted: 06/17/2024] [Indexed: 06/28/2024] Open
Abstract
BACKGROUND Lipid accumulation product (LAP) is a novel predictor index of central lipid accumulation associated with metabolic and cardiovascular diseases. This study aims to investigate the accuracy of LAP for the screening of metabolic syndrome (MetS) in general adult males and females and its comparison with other lipid-related indicators. METHODS A systematic literature search was conducted in PubMed, Scopus, Web of Science, Cumulative Index to Nursing and Allied Health Literature (CINAHL), and ProQuest for eligible studies up to May 8, 2024. Outcomes were pooled mean difference (MD), odds ratio (OR), and diagnostic accuracy parameters (sensitivity, specificity, and area under the summary receiver operating characteristic [AUSROC] curve). Comparative analysis was conducted using Z-test. RESULTS Forty-three studies involving 202,313 participants (98,164 males and 104,149 females) were included. Pooled MD analysis showed that LAP was 45.92 (P < 0.001) and 41.70 units (P < 0.001) higher in men and women with MetS, respectively. LAP was also significantly associated with MetS, with pooled ORs of 1.07 (P < 0.001) in men and 1.08 (P < 0.001) in women. In men, LAP could detect MetS with a pooled sensitivity of 85% (95% CI: 82%-87%), specificity of 81% (95% CI: 80%-83%), and AUSROC curve of 0.88 (95% CI: 0.85-0.90), while in women, LAP had a sensitivity of 83% (95% CI: 80%-86%), specificity of 80% (95% CI: 78%-82%), and AUSROC curve of 0.88 (95% CI: 0.85-0.91). LAP had a significantly higher AUSROC curve (P < 0.05) for detecting MetS compared to body mass index (BMI), waist-to-height ratio (WHtR), waist-to-hip ratio (WHR), body roundness index (BRI), a body shape index (ABSI), body adiposity index (BAI), conicity index (CI) in both genders, and waist circumference (WC) and abdominal volume index (AVI) in females. CONCLUSION LAP may serve as a simple, cost-effective, and more accurate screening tool for MetS in general adult male and female populations.
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Affiliation(s)
| | | | - Visuddho Visuddho
- Medical Program, Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia
| | - Citrawati Dyah Kencono Wungu
- Division of Biochemistry, Department of Medical Physiology and Biochemistry, Faculty of Medicine, Universitas Airlangga, Jl. Mayjen Prof. Dr. Moestopo 47, Surabaya, East Java, 60132, Indonesia.
- Institute of Tropical Disease, Universitas Airlangga, Surabaya, Indonesia.
| | - Ummi Maimunah
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Dr. Soetomo General Hospital, Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia
| | - Purwo Sri Rejeki
- Division of Physiology, Department of Medical Physiology and Biochemistry, Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia
| | - Delvac Oceandy
- Division of Cardiovascular Science, Manchester Academic Health Science Centre, University of Manchester, Manchester, M13 9PG, UK
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Oyelere AM, Kok DE, Bos D, Gunter MJ, Ferrari P, Keski-Rahkonen P, de Wilt JHW, van Halteren HK, Kouwenhoven EA, van Duijnhoven FJB, Kampman E. Coffee consumption is associated with a reduced risk of colorectal cancer recurrence and all-cause mortality. Int J Cancer 2024; 154:2054-2063. [PMID: 38346920 DOI: 10.1002/ijc.34879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 01/13/2024] [Accepted: 01/16/2024] [Indexed: 04/14/2024]
Abstract
Coffee consumption has been associated with a reduced risk of developing colorectal cancer (CRC). However, it is not clear whether coffee consumption is related to CRC progression. Hence, we assessed the association of coffee consumption with CRC recurrence and all-cause mortality using data from a prospective cohort study of 1719 stage I-III CRC patients in the Netherlands. Coffee consumption and other lifestyle characteristics were self-reported using questionnaires at the time of diagnosis. We retrieved recurrence and all-cause mortality data from the Netherlands Cancer Registry and the Personal Records Database, respectively. Cox proportional hazard regression models with and without restricted cubic splines were used to calculate hazard ratios (HR) and 95% confidence intervals (CI) adjusted for age, sex, education, smoking status, cancer stage and tumor location. We observed 257 recurrences during a 6.2-year median follow-up and 309 deaths during a 6.6-year median follow-up. Consuming more than 4 cups/d of coffee compared to an intake of <2 cups/d was associated with a 32% lower risk of CRC recurrence (95% CI: 0.49, 0.94,). The association between coffee consumption and all-cause mortality was U-shaped; coffee intake seemed optimal at 3-5 cups/d with the lowest risk at 4 cups/d (HR: 0.68, 95% CI: 0.53, 0.88). Our results suggest that coffee consumption may be associated with a lower risk of CRC recurrence and all-cause mortality. The association between coffee consumption and all-cause mortality appeared nonlinear. More studies are needed to understand the mechanism by which coffee consumption might improve CRC prognosis.
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Affiliation(s)
- Abisola M Oyelere
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, The Netherlands
| | - Dieuwertje E Kok
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, The Netherlands
| | - Daniel Bos
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Marc J Gunter
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC-WHO), Lyon, France
- Department of Epidemiology and Biostatistics School of Public Health, Imperial College London, London, UK
| | - Pietro Ferrari
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Pekka Keski-Rahkonen
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Johannes H W de Wilt
- Department of Surgery, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Henk K van Halteren
- Department of Internal Medicine, Admiraal de Ruyter Ziekenhuis, Goes, The Netherlands
| | | | | | - Ellen Kampman
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, The Netherlands
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21
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Yamamoto S, Niihata K, Toida T, Abe M, Hanafusa N, Kurita N. Frailty and Duration of Maintenance Dialysis: A Japanese Nationwide Cross-Sectional Study. Am J Kidney Dis 2024:S0272-6386(24)00810-2. [PMID: 38876273 DOI: 10.1053/j.ajkd.2024.04.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 03/26/2024] [Accepted: 04/08/2024] [Indexed: 06/16/2024]
Abstract
RATIONALE & OBJECTIVE Prolonged end-stage kidney disease (ESKD) is a risk factor for frailty, and the number of patients in Japan receiving maintenance dialysis for more than 20 years is large and growing. This study characterized the association of dialysis vintage and frailty among patients receiving dialysis in Japan. STUDY DESIGN Cross-sectional study. SETTING & PARTICIPANTS Patients with ESKD aged over 50 years who received maintenance dialysis in 2018 as represented in the JSDT Renal Data Registry database (n = 227,136). EXPOSURE Dialysis vintage categorized as: 0-<5 years, 5-<10 years, 10-<20 years, 20-<30 years, and over 30 years. OUTCOME Frailty and bedridden status were defined as graded≥2 and graded 4, respectively, according to the Eastern Cooperative Oncology Group Performance Status scale. ANALYTICAL APPROACH Poisson regression models with robust error variance adjusted for potential covariates were used to estimate the adjusted prevalence ratios (APRs) for frailty and bedridden status. Clinical characteristics of patients undergoing dialysis for≥30 years were also described. RESULTS Among the study cohort, 5,510 patients (2.4%) had been undergoing dialysis for 30 years or more. The prevalence of frailty in the group with over 30 years of dialysis history was 36.2%, and the rate of being bedridden was 6.4%. Compared with<5 years, dialysis vintages of 5-<10 years, 10-<20 years, 20-<30 years, and over 30 years were associated with frailty (APR, 1.06 [95% CI, 1.05-1.08], 1.10 [95% CI, 1.08-1.11], 1.14 [95% CI, 1.10-1.17], and 1.67 [95% CI, 1.60-1.73]), respectively. Compared with<5 years, dialysis vintages of 5-<10 years, 10-<20 years, 20-<30 years, and over 30 years were associated with being bedridden (APR, 1.17 [95% CI, 1.13-1.22], 1.26 [95% CI, 1.20-1.31], 1.17 [95% CI, 1.08-1.26], and 1.66 [95% CI, 1.49-1.86], respectively. LIMITATIONS Patients receiving short-term dialysis may have more unmeasured comorbidities compared with patients receiving long-term dialysis. CONCLUSIONS Long-term dialysis therapy, particularly exceeding 30 years, is associated with deterioration of physical function and frailty. PLAIN-LANGUAGE SUMMARY End-stage kidney disease increases the risk of frailty. Understanding how long-term dialysis affects physical function may help patients and caregivers plan their lives better. Our research explores the relationship between duration of maintenance dialysis and frailty. We found that longer durations of maintenance dialysis, especially longer than 30 years, were associated with a higher risk of frailty and being bedridden among Japanese patients. The factors responsible for these associations should be the focus of future research.
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Affiliation(s)
- Suguru Yamamoto
- Division of Clinical Nephrology and Rheumatology, Niigata University Graduate School of Medical and Dental Sciences, Niigata; Subcommittee of Statistical Analysis, Japanese Society for Dialysis Therapy, Tokyo.
| | - Kakuya Niihata
- Department of Clinical Epidemiology, Graduate School of Medicine, Fukushima Medical University, Fukushima
| | - Tatsunori Toida
- School of Pharmaceutical Sciences, Kyushu University of Medical Science, Miyazaki; Department of Clinical Epidemiology, Graduate School of Medicine, Fukushima Medical University, Fukushima
| | - Masanori Abe
- Subcommittee of Statistical Analysis, Japanese Society for Dialysis Therapy, Tokyo; Committee of Renal Data Registry, Japanese Society for Dialysis Therapy, Tokyo; Division of Nephrology, Hypertension and Endocrinology, Department of Medicine, Nihon University School of Medicine, Tokyo
| | - Norio Hanafusa
- Committee of Renal Data Registry, Japanese Society for Dialysis Therapy, Tokyo; Department of Blood Purification, Tokyo Women's Medical University, Tokyo
| | - Noriaki Kurita
- Subcommittee of Statistical Analysis, Japanese Society for Dialysis Therapy, Tokyo; Department of Clinical Epidemiology, Graduate School of Medicine, Fukushima Medical University, Fukushima; Department of Innovative Research and Education for Clinicians and Trainees (DiRECT), Fukushima Medical University Hospital, Fukushima, Japan
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22
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Abou Assi A, Heude B, Plancoulaine S, Sarté C, Tafflet M, Yuan WL, Charles MA, Armand M, Bernard JY. Patterns of perinatal polyunsaturated fatty acid status and associated dietary or candidate-genetic factors. J Lipid Res 2024; 65:100562. [PMID: 38762122 PMCID: PMC11231547 DOI: 10.1016/j.jlr.2024.100562] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Revised: 05/13/2024] [Accepted: 05/14/2024] [Indexed: 05/20/2024] Open
Abstract
Perinatal exposure to omega-3 and omega-6 polyunsaturated fatty acids (PUFAs) can be characterized through biomarkers in maternal or cord blood or breast milk. Objectives were to describe perinatal PUFA status combining multiple biofluids and to investigate how it was influenced by dietary intake during pregnancy and maternal FADS and ELOVL gene polymorphisms. This study involved 1,901 mother-child pairs from the EDEN cohort, with PUFA levels measured in maternal and cord erythrocytes, and colostrum. Maternal dietary PUFA intake during the last trimester was derived from a food frequency questionnaire. Twelve single-nucleotide polymorphisms in FADS and ELOVL genes were genotyped from maternal DNA. Principal component analysis incorporating PUFA levels from the three biofluids identified patterns of perinatal PUFA status. Spearman's correlations explored associations between patterns and PUFA dietary intake, and linear regression models examined pattern associations with FADS or ELOVL haplotypes. Five patterns were retained: "High omega-3 LC-PUFAs, low omega-6 LC-PUFAs"; "Omega-6 LC-PUFAs"; "Colostrum LC-PUFAs"; "Omega-6 precursor (LA) and DGLA"; "Omega-6 precursor and colostrum ALA". Maternal omega-3 LC-PUFA intakes were correlated with "High omega-3 LC-PUFAs, low omega-6 LC-PUFAs" (r(DHA) = 0.33) and "Omega-6 LC-PUFAs" (r(DHA) = -0.19) patterns. Strong associations were found between FADS haplotypes and PUFA patterns except for "High omega-3 LC-PUFAs, low omega-6 LC-PUFAs". Lack of genetic association with the "High omega-3 LC-PUFAs, low omega-6 LC-PUFAs" pattern, highly correlated with maternal omega-3 LC-PUFA intake, emphasizes the importance of adequate omega-3 LC-PUFA intake during pregnancy and lactation. This study offers a more comprehensive assessment of perinatal PUFA status and its determinants.
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Affiliation(s)
- Aline Abou Assi
- Université Paris Cité and Université Sorbonne Paris Nord, INSERM, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, France
| | - Barbara Heude
- Université Paris Cité and Université Sorbonne Paris Nord, INSERM, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, France.
| | - Sabine Plancoulaine
- Université Paris Cité and Université Sorbonne Paris Nord, INSERM, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, France; Université Claude Bernard Lyon 1, INSERM, CNRS, Centre de Recherche en Neurosciences de Lyon CRNL U1028 UMR5292, WAKING, Bron, France
| | | | - Muriel Tafflet
- Université Paris Cité and Université Sorbonne Paris Nord, INSERM, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, France
| | - Wen Lun Yuan
- Université Paris Cité and Université Sorbonne Paris Nord, INSERM, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, France; Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research (A∗STAR), Singapore, Singapore
| | - Marie-Aline Charles
- Université Paris Cité and Université Sorbonne Paris Nord, INSERM, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, France
| | - Martine Armand
- Aix Marseille Université, CNRS, CRMBM, Marseille, France
| | - Jonathan Y Bernard
- Université Paris Cité and Université Sorbonne Paris Nord, INSERM, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, France
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Ko Y, Howard SC, Golden AP, French B. Adjustment for duration of employment in occupational epidemiology. Ann Epidemiol 2024; 94:33-41. [PMID: 38631438 DOI: 10.1016/j.annepidem.2024.04.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 04/12/2024] [Accepted: 04/12/2024] [Indexed: 04/19/2024]
Abstract
PURPOSE In occupational epidemiology, the healthy worker survivor effect can manifest as a time-dependent confounder because healthier workers can accrue greater amounts of exposure over longer periods of employment. For example, in occupational studies of radiation exposure that focus on cumulative annualized radiation dose, workers can accrue greater amounts of cumulative radiation exposure over longer periods of employment, while workers with longer periods of employment can transition into jobs with a reduced potential for annualized radiation exposure. The extent to which confounding arising from the healthy worker survivor effect impacts radiation risk estimates is unknown. METHODS We assessed the impact of the healthy worker survivor effect on estimates of radiation risk among nuclear workers in a Million Person Study cohort. In simulation studies, we contrasted the ability of marginal structural Cox models with inverse probability weighting and Cox proportional hazards models to account for time-dependent confounding arising from the healthy worker survivor effect. RESULTS Marginal structural Cox models and Cox proportional hazards models with flexible functional forms for duration of employment provided reliable results. CONCLUSIONS It is crucial to flexibly adjust for duration of employment to account for confounding arising from the healthy worker survivor effect in occupational epidemiology.
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Affiliation(s)
- Yeji Ko
- Department of Biostatistics, Vanderbilt University Medical Center, 2525 West End Avenue Suite 1100, Nashville, TN 37203, USA
| | - Sara C Howard
- Oak Ridge Associated Universities, 100 Orau Way, Oak Ridge, TN 37830, USA
| | - Ashley P Golden
- Oak Ridge Associated Universities, 100 Orau Way, Oak Ridge, TN 37830, USA
| | - Benjamin French
- Department of Biostatistics, Vanderbilt University Medical Center, 2525 West End Avenue Suite 1100, Nashville, TN 37203, USA.
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24
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Li N, Shao JM, Jiang Y, Wang CH, Li SB, Wang DC, Di WY. Unraveling the Predictors of Enlarged Perivascular Spaces: A Comprehensive Logistic Regression Approach in Cerebral Small Vessel Disease. Int J Gen Med 2024; 17:2513-2525. [PMID: 38846346 PMCID: PMC11155382 DOI: 10.2147/ijgm.s464356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Accepted: 05/28/2024] [Indexed: 06/09/2024] Open
Abstract
Background This study addresses the predictive modeling of Enlarged Perivascular Spaces (EPVS) in neuroradiology and neurology, focusing on their impact on Cerebral Small Vessel Disease (CSVD) and neurodegenerative disorders. Methods A retrospective analysis was conducted on 587 neurology inpatients, utilizing LASSO regression for variable selection and logistic regression for model development. The study included comprehensive demographic, medical history, and laboratory data analyses. Results The model identified key predictors of EPVS, including Age, Hypertension, Stroke, Lipoprotein a, Platelet Large Cell Ratio, Uric Acid, and Albumin to Globulin Ratio. The predictive nomogram demonstrated strong efficacy in EPVS risk assessment, validated through ROC curve analysis, calibration plots, and Decision Curve Analysis. Conclusion The study presents a novel, robust EPVS predictive model, providing deeper insights into EPVS mechanisms and risk factors. It underscores the potential for early diagnosis and improved management strategies in neuro-radiology and neurology, highlighting the need for future research in diverse populations and longitudinal settings.
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Affiliation(s)
- Ning Li
- Department of Neurology, Affiliated Hospital of Hebei University, Baoding, Hebei Province, People’s Republic of China
| | - Jia-Min Shao
- Department of Neurology, Affiliated Hospital of Hebei University, Baoding, Hebei Province, People’s Republic of China
| | - Ye Jiang
- Department of Neurology, Affiliated Hospital of Hebei University, Baoding, Hebei Province, People’s Republic of China
| | - Chu-Han Wang
- Department of Neurology, Affiliated Hospital of Hebei University, Baoding, Hebei Province, People’s Republic of China
| | - Si-Bo Li
- Department of Neurology, Affiliated Hospital of Hebei University, Baoding, Hebei Province, People’s Republic of China
| | - De-Chao Wang
- Department of Neurology, Affiliated Hospital of Hebei University, Baoding, Hebei Province, People’s Republic of China
| | - Wei-Ying Di
- Department of Neurology, Affiliated Hospital of Hebei University, Baoding, Hebei Province, People’s Republic of China
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25
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Ho NX, Tingle SJ, Malik AK, Thompson ER, Kourounis G, Amer A, Pandanaboyana S, Wilson C, White S. Donor Blood Tests do Not Predict Pancreas Graft Survival After Simultaneous Pancreas Kidney Transplantation; a National Cohort Study. Transpl Int 2024; 37:12864. [PMID: 38832357 PMCID: PMC11144863 DOI: 10.3389/ti.2024.12864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2024] [Accepted: 05/07/2024] [Indexed: 06/05/2024]
Abstract
Simultaneous pancreas-kidney (SPK) transplantation improves quality of life and limits progression of diabetic complications. There is reluctance to accept pancreata from donors with abnormal blood tests, due to concern of inferior outcomes. We investigated whether donor amylase and liver blood tests (markers of visceral ischaemic injury) predict pancreas graft outcome using the UK Transplant Registry (2016-2021). 857 SPK recipients were included (619 following brainstem death, 238 following circulatory death). Peak donor amylase ranged from 8 to 3300 U/L (median = 70), and this had no impact on pancreas graft survival when adjusting for multiple confounders (aHR = 0.944, 95% CI = 0.754-1.81). Peak alanine transaminases also did not influence pancreas graft survival in multivariable models (aHR = 0.967, 95% CI = 0.848-1.102). Restricted cubic splines were used to assess associations between donor blood tests and pancreas graft survival without assuming linear relationships; these confirmed neither amylase, nor transaminases, significantly impact pancreas transplant outcome. This is the largest, most statistically robust study evaluating donor blood tests and transplant outcome. Provided other factors are acceptable, pancreata from donors with mild or moderately raised amylase and transaminases can be accepted with confidence. The use of pancreas grafts from such donors is therefore a safe, immediate, and simple approach to expand the donor pool to reach increasing demands.
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Affiliation(s)
- Ning Xuan Ho
- National Institute for Health Research Blood and Transplant Research Unit (NIHR BTRU) in Organ Donation and Transplantation, Institute of Transplantation, Freeman Hospital, Newcastle upon Tyne, United Kingdom
| | - Samuel J. Tingle
- National Institute for Health Research Blood and Transplant Research Unit (NIHR BTRU) in Organ Donation and Transplantation, Institute of Transplantation, Freeman Hospital, Newcastle upon Tyne, United Kingdom
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Abdullah K. Malik
- National Institute for Health Research Blood and Transplant Research Unit (NIHR BTRU) in Organ Donation and Transplantation, Institute of Transplantation, Freeman Hospital, Newcastle upon Tyne, United Kingdom
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Emily R. Thompson
- National Institute for Health Research Blood and Transplant Research Unit (NIHR BTRU) in Organ Donation and Transplantation, Institute of Transplantation, Freeman Hospital, Newcastle upon Tyne, United Kingdom
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Georgios Kourounis
- National Institute for Health Research Blood and Transplant Research Unit (NIHR BTRU) in Organ Donation and Transplantation, Institute of Transplantation, Freeman Hospital, Newcastle upon Tyne, United Kingdom
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Aimen Amer
- National Institute for Health Research Blood and Transplant Research Unit (NIHR BTRU) in Organ Donation and Transplantation, Institute of Transplantation, Freeman Hospital, Newcastle upon Tyne, United Kingdom
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Sanjay Pandanaboyana
- National Institute for Health Research Blood and Transplant Research Unit (NIHR BTRU) in Organ Donation and Transplantation, Institute of Transplantation, Freeman Hospital, Newcastle upon Tyne, United Kingdom
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Colin Wilson
- National Institute for Health Research Blood and Transplant Research Unit (NIHR BTRU) in Organ Donation and Transplantation, Institute of Transplantation, Freeman Hospital, Newcastle upon Tyne, United Kingdom
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Steve White
- National Institute for Health Research Blood and Transplant Research Unit (NIHR BTRU) in Organ Donation and Transplantation, Institute of Transplantation, Freeman Hospital, Newcastle upon Tyne, United Kingdom
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
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26
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Basso M, Zorzan I, Johnstone N, Barberis M, Cohen Kadosh K. Diet quality and anxiety: a critical overview with focus on the gut microbiome. Front Nutr 2024; 11:1346483. [PMID: 38812941 PMCID: PMC11133642 DOI: 10.3389/fnut.2024.1346483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Accepted: 04/05/2024] [Indexed: 05/31/2024] Open
Abstract
Anxiety disorders disproportionally affect females and are frequently comorbid with eating disorders. With the emerging field of nutritional psychiatry, focus has been put on the impact of diet quality in anxiety pathophysiology and gut microbiome underlying mechanisms. While the relationship between diet and anxiety is bidirectional, improving dietary habits could better facilitate the actions of pharmacological and psychological therapies, or prevent their use. A better understanding of how gut bacteria mediate and moderate such relationship could further contribute to develop personalized programs and inform probiotics and prebiotics manufacturing. To date, studies that look simultaneously at diet, the gut microbiome, and anxiety are missing as only pairwise relationships among them have been investigated. Therefore, this study aims at summarizing and integrating the existing knowledge on the dietary effects on anxiety with focus on gut microbiome. Findings on the effects of diet on anxiety are critically summarized and reinterpreted in relation to findings on (i) the effects of diet on the gut microbiome composition, and (ii) the associations between the abundance of certain gut bacteria and anxiety. This novel interpretation suggests a theoretical model where the relationship between diet and anxiety is mediated and/or modulated by the gut microbiome through multiple mechanisms. In parallel, this study critically evaluates methodologies employed in the nutritional field to investigate the effects of diet on anxiety highlighting a lack of systematic operationalization and assessment strategies. Therefore, it ultimately proposes a novel evidence-based approach that can enhance studies validity, reliability, systematicity, and translation to clinical and community settings.
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Affiliation(s)
- Melissa Basso
- School of Psychology, Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom
| | - Irene Zorzan
- Molecular Systems Biology, School of Biosciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom
- Centre for Mathematical and Computational Biology, CMCB, University of Surrey, Guildford, United Kingdom
| | - Nicola Johnstone
- School of Psychology, Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom
| | - Matteo Barberis
- Molecular Systems Biology, School of Biosciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom
- Centre for Mathematical and Computational Biology, CMCB, University of Surrey, Guildford, United Kingdom
- Synthetic Systems Biology and Nuclear Organization, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, Netherlands
| | - Kathrin Cohen Kadosh
- School of Psychology, Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom
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Garcia JM, Sehgal J, Thompson JL, Woods SP, Medina LD. The Relationship Between Apathy and Cognitive Impairment Among Hispanic/Latin Americans: A Preferred Reporting Items for Systematic Reviews and Meta-Analyses Systematic Review. J Geriatr Psychiatry Neurol 2024; 37:175-193. [PMID: 37855134 DOI: 10.1177/08919887231207640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2023]
Abstract
OBJECTIVES The primary aim was to evaluate apathy assessment measures in relation to cognitive impairment among Hispanic/Latin Americans. METHODS A systematic review on the relationship between apathy and cognitive impairment among Hispanic/Latin Americans across normal aging and neurocognitive disorders was conducted according to preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines and using APA PsycInfo, Embase, and PubMed databases. Inclusion criteria required (1) a sample of English or Spanish-speaking adults ages 18 years and older, (2) with measures of apathy, (3) assessment of cognitive functioning or diagnosis of neurocognitive disorder, (4) with at least 18.5% Hispanic/Latin American represented in the sample. RESULTS Only 14 papers met criteria to be included in this review. Of the 12 cross-sectional studies, 9 demonstrated significant associations between increased apathy and cognitive impairment, 1 demonstrated a descriptive difference between apathy and cognitive status (ie, no hypothesis test conducted), while 2 demonstrated null effects. These cross-sectional studies consisted of community and clinic samples of participants across North and South America. Two longitudinal studies conducted in North America demonstrated non-significant associations of apathy with cognitive status. CONCLUSIONS The Neuropsychiatric Inventory (NPI) and Neuropsychiatric Inventory Questionnaire (NPI-Q) apathy subscales were the most used measures for apathy in this review (85.7% of included studies). However, validity evidence from a review of apathy measures has warranted caution against the use of the NPI outside the context of screening for apathy. This potential measurement bias with Hispanic/Latin Americans apathy research limits conclusions drawn from the present review.
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Affiliation(s)
- Joshua M Garcia
- Department of Psychology, University of Houston, Houston, TX, USA
| | - Jai Sehgal
- Department of Psychology, University of Houston, Houston, TX, USA
| | | | | | - Luis D Medina
- Department of Psychology, University of Houston, Houston, TX, USA
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
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28
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Li N, Li YL, Shao JM, Wang CH, Li SB, Jiang Y. Optimizing early neurological deterioration prediction in acute ischemic stroke patients following intravenous thrombolysis: a LASSO regression model approach. Front Neurosci 2024; 18:1390117. [PMID: 38633265 PMCID: PMC11022961 DOI: 10.3389/fnins.2024.1390117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Accepted: 03/15/2024] [Indexed: 04/19/2024] Open
Abstract
Background Acute ischemic stroke (AIS) remains a leading cause of disability and mortality globally among adults. Despite Intravenous Thrombolysis (IVT) with recombinant tissue plasminogen activator (rt-PA) emerging as the standard treatment for AIS, approximately 6-40% of patients undergoing IVT experience Early Neurological Deterioration (END), significantly impacting treatment efficacy and patient prognosis. Objective This study aimed to develop and validate a predictive model for END in AIS patients post rt-PA administration using the Least Absolute Shrinkage and Selection Operator (LASSO) regression approach. Methods In this retrospective cohort study, data from 531 AIS patients treated with intravenous alteplase across two hospitals were analyzed. LASSO regression was employed to identify significant predictors of END, leading to the construction of a multivariate predictive model. Results Six key predictors significantly associated with END were identified through LASSO regression analysis: previous stroke history, Body Mass Index (BMI), age, Onset to Treatment Time (OTT), lymphocyte count, and glucose levels. A predictive nomogram incorporating these factors was developed, effectively estimating the probability of END post-IVT. The model demonstrated robust predictive performance, with an Area Under the Curve (AUC) of 0.867 in the training set and 0.880 in the validation set. Conclusion The LASSO regression-based predictive model accurately identifies critical risk factors leading to END in AIS patients following IVT. This model facilitates timely identification of high-risk patients by clinicians, enabling more personalized treatment strategies and optimizing patient management and outcomes.
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Affiliation(s)
- Ning Li
- Department of Neurology, Affiliated Hospital of Hebei University, Baoding, China
| | - Ying-Lei Li
- Department of Emergency Medicine, Baoding No.1 Central Hospital, Baoding, China
| | - Jia-Min Shao
- Department of Neurology, Affiliated Hospital of Hebei University, Baoding, China
| | - Chu-Han Wang
- Department of Neurology, Affiliated Hospital of Hebei University, Baoding, China
| | - Si-Bo Li
- Department of Neurology, Affiliated Hospital of Hebei University, Baoding, China
| | - Ye Jiang
- Department of Neurology, Affiliated Hospital of Hebei University, Baoding, China
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29
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Bose A, Khalighinejad F, Hoaglin DC, Hemond CC. Evaluating the Clinical Utility of Epstein-Barr Virus Antibodies as Biomarkers in Multiple Sclerosis: A Systematic Review. Mult Scler Relat Disord 2024; 84:105410. [PMID: 38401201 DOI: 10.1016/j.msard.2023.105410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 12/14/2023] [Accepted: 12/23/2023] [Indexed: 02/26/2024]
Abstract
BACKGROUND EBV is a necessary but not sufficient factor in the pathophysiology of multiple sclerosis (MS). EBV antibodies to the nuclear antigen (EBNA1) and viral capsid antigen (VCA) rise rapidly prior to MS disease manifestations, and their absence has clinical utility with a high negative predictive value. It remains unclear whether EBV levels act as prognostic, monitoring, or pharmacodynamic/response biomarkers. Substantial literature on this topic exists but has not been systematically reviewed. We hypothesized that EBV levels against EBNA1 and VCA are potential prognostic and monitoring biomarkers in MS, and that patient population, MS clinical phenotype, and EBV assay method may play important roles in explaining variation among study outcomes. METHODS We systematically searched PubMed and EMBASE from inception to April 1, 2022. After removal of duplicates, records were screened by abstract. Remaining full-text articles were reviewed. Clinical and MRI data were extracted from full-text articles for comparison and synthesis. RESULTS Searches yielded 696 unique results; 285 were reviewed in full, and 36 met criteria for data extraction. Heterogeneity in sample population, clinical outcome measures, assay methods and statistical analyses precluded a meta-analysis. EBV levels were not consistently associated with clinical disease markers including conversion from CIS to RRMS, neurological disability, or disease phenotype. Studies using repeated-measures design suggest that EBNA1 levels may temporarily reflect inflammatory disease activity as assessed by gadolinium-enhancing Magnetic Resonance Imaging (MRI) lesions. Limited data also suggest a decrease in EBV levels following initiation of certain disease-modifying therapies. CONCLUSION Heterogeneous methodology limited generalization and meta-analysis. EBV antibody levels are unlikely to represent prognostic biomarkers in MS. The areas of highest ongoing promise relate to diagnostic exclusion and pharmacodynamic/disease response. Use of EBV antibodies as biomarkers in clinical practice remains additionally limited by lack of methodological precision, reliability, and validation.
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Affiliation(s)
- Abigail Bose
- University of Massachusetts Chan Medical School.
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Kelly M. CORR Insights®: Can a Psychological Profile Predict Successful Return to Full Duty After a Musculoskeletal Injury? Clin Orthop Relat Res 2024; 482:630-632. [PMID: 38363558 PMCID: PMC10936998 DOI: 10.1097/corr.0000000000003008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Accepted: 01/23/2024] [Indexed: 02/17/2024]
Affiliation(s)
- Michael Kelly
- Professor Of Clinical Orthopaedic Surgery, University of California San Diego, Department of Orthopaedic Surgery, San Diego, CA, USA
- Director of Scoliosis and Spinal Deformities, Division of Orthopedics & Scoliosis at Rady Children's Hospital-San Diego, San Diego, CA, USA
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31
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Binney ZO, Mansournia MA. Methods matter: (mostly) avoid categorising continuous data - a practical guide. Br J Sports Med 2024; 58:241-243. [PMID: 38050063 DOI: 10.1136/bjsports-2023-107599] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/15/2023] [Indexed: 12/06/2023]
Affiliation(s)
- Zachary Orion Binney
- Department of Quantitative Theory and Methods, Oxford College of Emory University, Oxford, Georgia, USA
| | - Mohammad Ali Mansournia
- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran (the Islamic Republic of)
- Sports Medicine Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran (the Islamic Republic of)
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Kreis J, Aybey B, Geist F, Brors B, Staub E. Stromal Signals Dominate Gene Expression Signature Scores That Aim to Describe Cancer Cell-intrinsic Stemness or Mesenchymality Characteristics. CANCER RESEARCH COMMUNICATIONS 2024; 4:516-529. [PMID: 38349551 PMCID: PMC10885853 DOI: 10.1158/2767-9764.crc-23-0383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 12/14/2023] [Accepted: 02/09/2024] [Indexed: 02/24/2024]
Abstract
Epithelial-to-mesenchymal transition (EMT) in cancer cells confers migratory abilities, a crucial aspect in the metastasis of tumors that frequently leads to death. In multiple studies, authors proposed gene expression signatures for EMT, stemness, or mesenchymality of tumors based on bulk tumor expression profiling. However, recent studies suggested that noncancerous cells from the microenvironment or macroenvironment heavily influence such signature profiles. Here, we strengthen these findings by investigating 11 published and frequently referenced gene expression signatures that were proposed to describe EMT-related (EMT, mesenchymal, or stemness) characteristics in various cancer types. By analyses of bulk, single-cell, and pseudobulk expression data, we show that the cell type composition of a tumor sample frequently dominates scores of these EMT-related signatures. A comprehensive, integrated analysis of bulk RNA sequencing (RNA-seq) and single-cell RNA-seq data shows that stromal cells, most often fibroblasts, are the main drivers of EMT-related signature scores. We call attention to the risk of false conclusions about tumor properties when interpreting EMT-related signatures, especially in a clinical setting: high patient scores of EMT-related signatures or calls of "stemness subtypes" often result from low cancer cell content in tumor biopsies rather than cancer cell-specific stemness or mesenchymal/EMT characteristics. SIGNIFICANCE Cancer self-renewal and migratory abilities are often characterized via gene module expression profiles, also called EMT or stemness gene expression signatures. Using published clinical tumor samples, cancer cell lines, and single cancer cells, we highlight the dominating influence of noncancer cells in low cancer cell content biopsies on their scores. We caution on their application for low cancer cell content clinical cancer samples with the intent to assign such characteristics or subtypes.
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Affiliation(s)
- Julian Kreis
- The healthcare business of Merck KGaA, Darmstadt, Germany
- Faculty of Biosciences, Heidelberg University, Heidelberg, Germany
| | - Bogac Aybey
- The healthcare business of Merck KGaA, Darmstadt, Germany
- Faculty of Biosciences, Heidelberg University, Heidelberg, Germany
| | - Felix Geist
- The healthcare business of Merck KGaA, Darmstadt, Germany
| | - Benedikt Brors
- Division of Applied Bioinformatics, German Cancer Research Center (DKFZ), Heidelberg University, Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg University, Heidelberg, Germany
- Medical Faculty Heidelberg and Faculty of Biosciences, Heidelberg University, and National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Eike Staub
- The healthcare business of Merck KGaA, Darmstadt, Germany
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Conners KM, Shearer JJ, Joo J, Park H, Manemann SM, Remaley AT, Otvos JD, Connelly MA, Sampson M, Bielinski SJ, Wolska A, Turecamo S, Roger VL. The Metabolic Vulnerability Index: A Novel Marker for Mortality Prediction in Heart Failure. JACC. HEART FAILURE 2024; 12:290-300. [PMID: 37480881 PMCID: PMC10949384 DOI: 10.1016/j.jchf.2023.06.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 06/05/2023] [Accepted: 06/07/2023] [Indexed: 07/24/2023]
Abstract
BACKGROUND Inflammation and protein energy malnutrition are associated with heart failure (HF) mortality. The metabolic vulnerability index (MVX) is derived from markers of inflammation and malnutrition and measured by nuclear magnetic resonance spectroscopy. MVX has not been examined in HF. OBJECTIVES The authors sought to examine the prognostic value of MVX in patients with HF. METHODS The authors prospectively assembled a population-based cohort of patients with HF from 2003 to 2012 and measured MVX scores with a nuclear magnetic resonance scan from plasma collected at enrollment. Patients were divided into 4 MVX score groups and followed until March 31, 2021. RESULTS The authors studied 1,382 patients (median age: 78 years; 48% women). The median MVX score was 64.6. Patients with higher MVX were older, more likely to be male, have atrial fibrillation, have higher NYHA functional class, and have HF duration of >18 months. Higher MVX was associated with mortality independent of Meta-analysis Global Group in Chronic Heart Failure score, ejection fraction, and other prognostic biomarkers. Compared to those with the lowest MVX, the HRs for MVX groups 2, 3, and 4 were 1.2 (95% CI: 0.9-1.4), 1.6 (95% CI: 1.3-2.0), and 1.8 (95% CI: 1.4-2.2), respectively (Ptrend < 0.001). Measures of model improvement document the added value of MVX in HF for classifying the risk of death beyond the Meta-analysis Global Group in Chronic Heart Failure score and other biomarkers. CONCLUSIONS In this HF community cohort, MVX was strongly associated with mortality independently of established clinical factors and improved mortality risk classification beyond clinically validated markers. These data underscore the potential of MVX to stratify risk in HF.
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Affiliation(s)
- Katherine M Conners
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Joseph J Shearer
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Jungnam Joo
- Office of Biostatistics Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Hoyoung Park
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Sheila M Manemann
- Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | - Alan T Remaley
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - James D Otvos
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | | | - Maureen Sampson
- Department of Laboratory Medicine, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA
| | - Suzette J Bielinski
- Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | - Anna Wolska
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Sarah Turecamo
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Véronique L Roger
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.
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Carroll HA, Ericson U, Ottosson F, Enhörning S, Melander O. The association between water intake and future cardiometabolic disease outcomes in the Malmö Diet and Cancer cardiovascular cohort. PLoS One 2024; 19:e0296778. [PMID: 38241317 PMCID: PMC10798487 DOI: 10.1371/journal.pone.0296778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 12/19/2023] [Indexed: 01/21/2024] Open
Abstract
The aim of this study was to explore the longitudinal association between reported baseline water intake and incidence of coronary artery disease (CAD) and type 2 diabetes in the Malmö Diet and Cancer Cohort (n = 25,369). Using cox proportional hazards models, we separately modelled the effect of plain and total (all water, including from food) water on CAD and type 2 diabetes risk, whilst adjusting for age, sex, diet collection method, season, smoking status, alcohol intake, physical activity, education level, energy intake, energy misreporting, body mass index, hypertension, lipid lowering medication, apolipoprotein A, apolipoprotein B, and dietary variables. Sensitivity analyses were run to assess validity. After adjustment, no association was found between tertiles of plain or total water intake and type 2 diabetes risk. For CAD, no association was found comparing moderate to low intake tertiles from plain or total water, however, risk of CAD increased by 12% (95% CI 1.03, 1.21) when comparing high to low intake tertiles of plain water, and by 17% (95% CI 1.07, 1.27) for high versus low tertiles of total water. Sensitivity analyses were largely in agreement. Overall, baseline water intake was not associated with future type 2 diabetes risk, whilst CAD risk was higher with higher water intakes. Our findings are discordant with prevailing literature suggesting higher water intakes should reduce cardiometabolic risk. These findings may be an artefact of limitations within the study, but future research is needed to understand if there is a causal underpinning.
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Affiliation(s)
- Harriet A. Carroll
- Clinical Research Centre, Cardiovascular Research—Hypertension, Lund University, Malmö, Sweden
- School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, United Kingdom
| | - Ulrika Ericson
- Clinical Research Centre, Cardiovascular Research—Hypertension, Lund University, Malmö, Sweden
| | - Filip Ottosson
- Clinical Research Centre, Cardiovascular Research—Hypertension, Lund University, Malmö, Sweden
| | - Sofia Enhörning
- Clinical Research Centre, Cardiovascular Research—Hypertension, Lund University, Malmö, Sweden
| | - Olle Melander
- Clinical Research Centre, Cardiovascular Research—Hypertension, Lund University, Malmö, Sweden
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Hlaing-Hlaing H, Dolja-Gore X, Tavener M, Hure AJ. Longitudinal analysis of the Alternative Healthy Eating Index-2010 and incident non-communicable diseases over 15 years in the 1973-1978 cohort of the Australian Longitudinal Study on Women's Health. Br J Nutr 2024; 131:143-155. [PMID: 37470131 DOI: 10.1017/s0007114523001605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/21/2023]
Abstract
In studies that contain repeated measures of variables, longitudinal analysis accounting for time-varying covariates is one of the options. We aimed to explore longitudinal association between diet quality (DQ) and non-communicable diseases (NCDs). Participants from the 1973-1978 cohort of the Australian Longitudinal Study on Women's Health (ALSWH) were included, if they; responded to survey 3 (S3, 2003, aged 25-30 years) and at least one survey between survey 4 (S4, 2006) and survey 8 (S8, 2018), were free of NCDs at or before S3, and provided dietary data at S3 or S5. Outcomes were coronary heart disease (CHD), hypertension (HT), asthma, cancer (except skin cancer), diabetes mellitus (DM), depression and/or anxiety, and multimorbidity (MM). Longitudinal modelling using generalised estimation equation (GEE) approach with time-invariant (S4), time-varying (S4-S8) and lagged (S3-S7) covariates were performed. The mean (± standard deviation) of Alternative Healthy Eating Index-2010 (AHEI-2010) of participants (n = 8022) was 51·6 ± 11·0 (range: 19-91). Compared to women with the lowest DQ (AHEI-2010 quintile 1), those in quintile 5 had reduced odds of NCDs in time-invariant model (asthma: OR (95 % CI): 0·77 (0·62-0·96), time-varying model (HT: 0·71 (0·50-0·99); asthma: 0·62 (0·51-0·76); and MM: 0·75 (0·58-0·97) and lagged model (HT: 0·67 (0·49-0·91); and asthma: 0·70 (0·57-0·85). Temporal associations between diet and some NCDs were more prominent in lagged GEE analyses. Evidence of diet as NCD prevention in women aged 25-45 years is evolving, and more studies that consider different longitudinal analyses are needed.
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Affiliation(s)
- Hlaing Hlaing-Hlaing
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW2308, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW2305, Australia
| | - Xenia Dolja-Gore
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW2308, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW2305, Australia
| | - Meredith Tavener
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW2308, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW2305, Australia
| | - Alexis J Hure
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW2308, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW2305, Australia
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Li N, Li YL, Li LT. Development and validation of a nomogram predictive model for cerebral small vessel disease: a comprehensive retrospective analysis. Front Neurol 2024; 14:1340492. [PMID: 38259650 PMCID: PMC10801164 DOI: 10.3389/fneur.2023.1340492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Accepted: 12/19/2023] [Indexed: 01/24/2024] Open
Abstract
Background Cerebral small vessel disease (CSVD) is a significant contributor to stroke, intracerebral hemorrhages, and vascular dementia, particularly in the elderly. Early diagnosis remains challenging. This study aimed to develop and validate a novel nomogram for the early diagnosis of cerebral small vessel disease (CSVD). We focused on integrating cerebrovascular risk factors and blood biochemical markers to identify individuals at high risk of CSVD, thus enabling early intervention. Methods In a retrospective study conducted at the neurology department of the Affiliated Hospital of Hebei University from January 2020 to June 2022, 587 patients were enrolled. The patients were randomly divided into a training set (70%, n = 412) and a validation set (30%, n = 175). The nomogram was developed using multivariable logistic regression analysis, with variables selected through the Least Absolute Shrinkage and Selection Operator (LASSO) technique. The performance of the nomogram was evaluated based on the area under the receiver operating characteristic curve (AUC-ROC), calibration plots, and decision curve analysis (DCA). Results Out of 88 analyzed biomarkers, 32 showed significant differences between the CSVD and non-CSVD groups. The LASSO regression identified 12 significant indicators, with nine being independent clinical predictors of CSVD. The AUC-ROC values of the nomogram were 0.849 (95% CI: 0.821-0.894) in the training set and 0.863 (95% CI: 0.810-0.917) in the validation set, indicating excellent discriminative ability. Calibration plots demonstrated good agreement between predicted and observed probabilities in both sets. DCA showed that the nomogram had significant clinical utility. Conclusions The study successfully developed a nomogram predictive model for CSVD, incorporating nine clinical predictive factors. This model offers a valuable tool for early identification and risk assessment of CSVD, potentially enhancing clinical decision-making and patient outcomes.
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Affiliation(s)
- Ning Li
- Department of Neurology, Hebei Medical University, Shijiazhuang, China
- Department of Neurology, Affiliated Hospital of Hebei University, Baoding, China
| | - Ying-lei Li
- Department of Neurology, Hebei Medical University, Shijiazhuang, China
- Department of Emergency Medicine, Baoding First Central Hospital, Baoding, China
| | - Li-tao Li
- Department of Neurology, Hebei Medical University, Shijiazhuang, China
- Department of Neurology, Hebei General Hospital, Shijiazhuang, China
- Hebei Provincial Key Laboratory of Cerebral Networks and Cognitive Disorders, Hebei General Hospital, Shijiazhuang, China
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Schulte PJ, Goldberg JD, Oster RA, Ambrosius WT, Bonner LB, Cabral H, Carter RE, Chen Y, Desai M, Li D, Lindsell CJ, Pomann GM, Slade E, Tosteson TD, Yu F, Spratt H. Peer review of clinical and translational research manuscripts: Perspectives from statistical collaborators. J Clin Transl Sci 2024; 8:e20. [PMID: 38384899 PMCID: PMC10879991 DOI: 10.1017/cts.2023.707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 11/29/2023] [Accepted: 12/19/2023] [Indexed: 02/23/2024] Open
Abstract
Research articles in the clinical and translational science literature commonly use quantitative data to inform evaluation of interventions, learn about the etiology of disease, or develop methods for diagnostic testing or risk prediction of future events. The peer review process must evaluate the methodology used therein, including use of quantitative statistical methods. In this manuscript, we provide guidance for peer reviewers tasked with assessing quantitative methodology, intended to complement guidelines and recommendations that exist for manuscript authors. We describe components of clinical and translational science research manuscripts that require assessment including study design and hypothesis evaluation, sampling and data acquisition, interventions (for studies that include an intervention), measurement of data, statistical analysis methods, presentation of the study results, and interpretation of the study results. For each component, we describe what reviewers should look for and assess; how reviewers should provide helpful comments for fixable errors or omissions; and how reviewers should communicate uncorrectable and irreparable errors. We then discuss the critical concepts of transparency and acceptance/revision guidelines when communicating with responsible journal editors.
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Affiliation(s)
- Phillip J. Schulte
- Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Judith D. Goldberg
- Division of Biostatistics, Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA
| | - Robert A. Oster
- Department of Medicine, Division of Preventive Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Walter T. Ambrosius
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Lauren Balmert Bonner
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Howard Cabral
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Rickey E. Carter
- Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA
| | - Ye Chen
- Biostatistics, Epidemiology and Research Design (BERD), Tufts Clinical and Translational Science Institute (CTSI), Boston, MA, USA
| | - Manisha Desai
- Quantitative Sciences Unit, Departments of Medicine, Biomedical Data Science, and Epidemiology and Population Health, Stanford University, Stanford, CA, USA
| | - Dongmei Li
- Department of Clinical and Translational Research, Obstetrics and Gynecology and Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA
| | | | - Gina-Maria Pomann
- Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA
| | - Emily Slade
- Department of Biostatistics, University of Kentucky, Lexington, KY, USA
| | - Tor D. Tosteson
- Department of Biomedical Data Science, Geisel School of Medicine, Dartmouth College, Hanover, NH, USA
| | - Fang Yu
- Department of Biostatistics, University of Nebraska Medical Center, Omaha, NE, USA
| | - Heidi Spratt
- Department of Biostatistics and Data Science, School of Public and Population Health, University of Texas Medical Branch, Galveston, TX, USA
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Huo RR, Pan LX, Wu PS, Liang XM, You XM, Ma L, Zhong JH. Prognostic value of aspartate aminotransferase/alanine aminotransferase ratio in hepatocellular carcinoma after hepatectomy. BJS Open 2024; 8:zrad155. [PMID: 38242573 PMCID: PMC10798825 DOI: 10.1093/bjsopen/zrad155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 10/30/2023] [Accepted: 11/19/2023] [Indexed: 01/21/2024] Open
Abstract
BACKGROUND The prognostic significance of the aspartate aminotransferase/alanine aminotransferase (AST/ALT) ratio in hepatocellular carcinoma remains uncertain. The aim of the current study was to evaluate the association between the AST/ALT ratio and prognosis in patients with hepatocellular carcinoma after hepatectomy, and to explore the role of underlying liver diseases as mediators. METHODS This retrospective study included patients with hepatocellular carcinoma who underwent hepatectomy between January 2014 and January 2018 at two Chinese hospitals. The maximally selected rank statistic and g-computation approach were used to quantify and visualize the association between the AST/ALT ratio and overall survival or recurrence-free survival. The role of mediators (chronic hepatitis B, hepatic steatosis and liver cirrhosis) was analysed. RESULTS Among the 1519 patients (mean(s.d.) age at baseline, 50.5(11.3) years), 1309 (86.2%) were male. During a median follow-up of 46.0 months, 514 (33.8%) patients died and 358 (23.6%) patients experienced recurrence. The optimal cut-off value for the AST/ALT ratio was 1.4, and the AST/ALT ratio greater than or equal to 1.4 was independently associated with a 39.0% increased risk of death and a 30.0% increased risk of recurrence (overall survival: hazard ratio (HR), 1.39; 95% c.i. 1.15 to 1.68; recurrence-free survival: HR, 1.30; 95% c.i. 1.12 to 1.52) after adjusting for confounders. Chronic hepatitis B significantly mediated the association of the ratio of AST/ALT with both overall survival and recurrence-free survival (20.3% for overall survival; 20.1% for recurrence-free survival). CONCLUSION The AST/ALT ratio greater than or equal to 1.4 was associated with shorter overall survival and recurrence-free survival in patients with hepatocellular carcinoma after hepatectomy, and chronic hepatitis B may play a role in their association.
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Affiliation(s)
- Rong-Rui Huo
- Hepatobiliary Surgery Department, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Li-Xin Pan
- Hepatobiliary Surgery Department, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Pei-Sheng Wu
- Hepatobiliary Surgery Department, The First People’s Hospital of Qinzhou, Qinzhou, China
| | - Xiu-Mei Liang
- Hepatobiliary Surgery Department, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Xue-Mei You
- Hepatobiliary Surgery Department, Guangxi Medical University Cancer Hospital, Nanning, China
- Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumour (Guangxi Medical University), Ministry of Education, Nanning, China
- Guangxi Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumour (Guangxi Medical University), Nanning, China
| | - Liang Ma
- Hepatobiliary Surgery Department, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Jian-Hong Zhong
- Hepatobiliary Surgery Department, Guangxi Medical University Cancer Hospital, Nanning, China
- Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumour (Guangxi Medical University), Ministry of Education, Nanning, China
- Guangxi Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumour (Guangxi Medical University), Nanning, China
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English LK, Raghavan R, Obbagy JE, Callahan EH, Fultz AK, Nevins JEH, Scinto-Madonich S, Reigh NA, Stoody EE. Dietary Patterns and Health: Insights From NESR Systematic Reviews to Inform the Dietary Guidelines for Americans. JOURNAL OF NUTRITION EDUCATION AND BEHAVIOR 2024; 56:75-87. [PMID: 38185492 DOI: 10.1016/j.jneb.2023.10.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 09/16/2023] [Accepted: 10/03/2023] [Indexed: 01/09/2024]
Abstract
This perspective article shares unique insights from the extensive experience of the US Department of Agriculture Nutrition Evidence Systematic Review branch in conducting systematic reviews on dietary patterns and health outcomes to inform the Dietary Guidelines for Americans. Methodological approaches for reviewing dietary patterns research are described, including approaches to operationalizing definitions and analyzing labeled dietary patterns. The review also describes techniques for synthesizing dietary patterns research across life stages in systematic reviews that inform food-based, federal dietary guidance. Current research activities and recommendations for how to improve or address gaps in dietary patterns research in the future are also discussed.
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Affiliation(s)
- Laural K English
- Nutrition Evidence Systematic Review Branch, Nutrition Guidance and Analysis Division, Center for Nutrition Policy and Promotion, Food and Nutrition Service, US Department of Agriculture, Alexandria, VA.
| | - Ramkripa Raghavan
- Nutrition Evidence Systematic Review Branch, Nutrition Guidance and Analysis Division, Center for Nutrition Policy and Promotion, Food and Nutrition Service, US Department of Agriculture, Alexandria, VA
| | - Julie E Obbagy
- Nutrition Evidence Systematic Review Branch, Nutrition Guidance and Analysis Division, Center for Nutrition Policy and Promotion, Food and Nutrition Service, US Department of Agriculture, Alexandria, VA
| | - Emily H Callahan
- Nutrition Evidence Systematic Review Branch, Nutrition Guidance and Analysis Division, Center for Nutrition Policy and Promotion, Food and Nutrition Service, US Department of Agriculture, Alexandria, VA
| | - Amanda K Fultz
- Nutrition Evidence Systematic Review Branch, Nutrition Guidance and Analysis Division, Center for Nutrition Policy and Promotion, Food and Nutrition Service, US Department of Agriculture, Alexandria, VA
| | - Julie E H Nevins
- Nutrition Evidence Systematic Review Branch, Nutrition Guidance and Analysis Division, Center for Nutrition Policy and Promotion, Food and Nutrition Service, US Department of Agriculture, Alexandria, VA
| | - Sara Scinto-Madonich
- Nutrition Evidence Systematic Review Branch, Nutrition Guidance and Analysis Division, Center for Nutrition Policy and Promotion, Food and Nutrition Service, US Department of Agriculture, Alexandria, VA
| | - Nicole A Reigh
- Nutrition Evidence Systematic Review Branch, Nutrition Guidance and Analysis Division, Center for Nutrition Policy and Promotion, Food and Nutrition Service, US Department of Agriculture, Alexandria, VA; Panum Group, Bethesda, MD
| | - Eve E Stoody
- Nutrition Guidance and Analysis Division, Center for Nutrition Policy and Promotion, Food and Nutrition Service, US Department of Agriculture, Alexandria, VA
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Wang MM, Li JQ, Dou SH, Li HJ, Qiu ZB, Zhang C, Yang XW, Zhang JT, Qiu XH, Xie HS, Tang WF, Cheng ML, Yan HH, Yang XN, Wu YL, Zhang XG, Yang L, Zhong WZ. Lack of incremental value of three-dimensional measurement in assessing invasiveness for lung cancer. Eur J Cardiothorac Surg 2023; 64:ezad373. [PMID: 37975876 PMCID: PMC10753921 DOI: 10.1093/ejcts/ezad373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 06/22/2023] [Accepted: 11/16/2023] [Indexed: 11/19/2023] Open
Abstract
OBJECTIVES The aim of this study was to evaluate the performance of consolidation-to-tumour ratio (CTR) and the radiomic models in two- and three-dimensional modalities for assessing radiological invasiveness in early-stage lung adenocarcinoma. METHODS A retrospective analysis was conducted on patients with early-stage lung adenocarcinoma from Guangdong Provincial People's Hospital and Shenzhen People's Hospital. Manual delineation of pulmonary nodules along the boundary was performed on cross-sectional images to extract radiomic features. Clinicopathological characteristics and radiomic signatures were identified in both cohorts. CTR and radiomic score for every patient were calculated. The performance of CTR and radiomic models were tested and validated in the respective cohorts. RESULTS A total of 818 patients from Guangdong Provincial People's Hospital were included in the primary cohort, while 474 patients from Shenzhen People's Hospital constituted an independent validation cohort. Both CTR and radiomic score were identified as independent factors for predicting pathological invasiveness. CTR in two- and three-dimensional modalities exhibited comparable results with areas under the receiver operating characteristic curves and were demonstrated in the validation cohort (area under the curve: 0.807 vs 0.826, P = 0.059) Furthermore, both CTR in two- and three-dimensional modalities was able to stratify patients with significant relapse-free survival (P < 0.000 vs P < 0.000) and overall survival (P = 0.003 vs P = 0.001). The radiomic models in two- and three-dimensional modalities demonstrated favourable discrimination and calibration in independent cohorts (P = 0.189). CONCLUSIONS Three-dimensional measurement provides no additional clinical benefit compared to two-dimensional.
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Affiliation(s)
- Meng-Min Wang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Jia-Qi Li
- Bioinformatics Division, BNRIST and MOE Key Lab of Bioinformatics, Department of Automation, Tsinghua University, Beijing, China
| | - Shi-Hua Dou
- Department of Thoracic Surgery, The Second Clinical Medical College, Jinan University (Shenzhen People's Hospital), Shenzhen, China
| | - Hong-Ji Li
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
- School of Medicine, South China University of Technology, Guangzhou, China
| | - Zhen-Bin Qiu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
- School of Medicine, South China University of Technology, Guangzhou, China
| | - Chao Zhang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
- School of Medicine, South China University of Technology, Guangzhou, China
| | - Xiong-Wen Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
- School of Medicine, South China University of Technology, Guangzhou, China
| | - Jia-Tao Zhang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Xin-Hua Qiu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Hong-Sheng Xie
- Department of Thoracic Surgery, The Second Clinical Medical College, Jinan University (Shenzhen People's Hospital), Shenzhen, China
| | - Wen-Fang Tang
- Department of Cardiothoracic Surgery, Zhongshan City People's Hospital, Zhongshan, China
| | - Mei-Ling Cheng
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Hong-Hong Yan
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Xue-Ning Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Xue-Gong Zhang
- Bioinformatics Division, BNRIST and MOE Key Lab of Bioinformatics, Department of Automation, Tsinghua University, Beijing, China
- School of Medicine, Tsinghua University, Beijing, China
| | - Lin Yang
- Department of Thoracic Surgery, The Second Clinical Medical College, Jinan University (Shenzhen People's Hospital), Shenzhen, China
| | - Wen-Zhao Zhong
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
- School of Medicine, South China University of Technology, Guangzhou, China
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Tingle SJ, Bramley R, Goodfellow M, Thompson ER, McPherson S, White SA, Wilson CH. Donor Liver Blood Tests and Liver Transplant Outcomes: UK Registry Cohort Study. Transplantation 2023; 107:2533-2544. [PMID: 37069657 DOI: 10.1097/tp.0000000000004610] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/19/2023]
Abstract
BACKGROUND Safely increasing organ utilization is a global priority. Donor serum transaminase levels are often used to decline livers, despite minimal evidence to support such decisions. This study aimed to investigate the impact of donor "liver blood tests" on transplant outcomes. METHODS This retrospective cohort study used the National Health Service registry on adult liver transplantation (2016-2019); adjusted regressions models were used to assess the effect of donor "liver blood tests" on outcomes. RESULTS A total of 3299 adult liver transplant recipients were included (2530 following brain stem death, 769 following circulatory death). Peak alanine transaminase (ALT) ranged from 6 to 5927 U/L (median = 45). Donor cause of death significantly predicted donor ALT; 4.2-fold increase in peak ALT with hypoxic brain injury versus intracranial hemorrhage (adjusted P < 0.001). On multivariable analysis, adjusting for a wide range of factors, transaminase level (ALT or aspartate aminotransferase) failed to predict graft survival, primary nonfunction, 90-d graft loss, or mortality. This held true in all examined subgroups, that is, steatotic grafts, donation following circulatory death, hypoxic brain injury donors, and donors, in which ALT was still rising at the time of retrieval. Even grafts from donors with extremely deranged ALT (>1000 U/L) displayed excellent posttransplant outcomes. In contrast, donor peak alkaline phosphatase was a significant predictor of graft loss (adjusted hazard ratio = 1.808; 1.016-3.216; P = 0.044). CONCLUSIONS Donor transaminases do not predict posttransplant outcomes. When other factors are favorable, livers from donors with raised transaminases can be accepted and transplanted with confidence. Such knowledge should improve organ utilization decision-making and prevent future unnecessary organ discard. This provides a safe, simple, and immediate option to expand the donor pool.
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Affiliation(s)
- Samuel J Tingle
- National Institute for Health Research Blood and Transplant Research Unit (NIHR BTRU) in Organ Donation and Transplantation, Institute of Transplantation, Freeman Hospital, Newcastle upon Tyne, United Kingdom
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Rebecca Bramley
- National Institute for Health Research Blood and Transplant Research Unit (NIHR BTRU) in Organ Donation and Transplantation, Institute of Transplantation, Freeman Hospital, Newcastle upon Tyne, United Kingdom
| | - Michael Goodfellow
- National Institute for Health Research Blood and Transplant Research Unit (NIHR BTRU) in Organ Donation and Transplantation, Institute of Transplantation, Freeman Hospital, Newcastle upon Tyne, United Kingdom
| | - Emily R Thompson
- National Institute for Health Research Blood and Transplant Research Unit (NIHR BTRU) in Organ Donation and Transplantation, Institute of Transplantation, Freeman Hospital, Newcastle upon Tyne, United Kingdom
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Stuart McPherson
- Department of Hepatology, Freeman Hospital, Newcastle upon Tyne, United Kingdom
| | - Steve A White
- National Institute for Health Research Blood and Transplant Research Unit (NIHR BTRU) in Organ Donation and Transplantation, Institute of Transplantation, Freeman Hospital, Newcastle upon Tyne, United Kingdom
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Colin H Wilson
- National Institute for Health Research Blood and Transplant Research Unit (NIHR BTRU) in Organ Donation and Transplantation, Institute of Transplantation, Freeman Hospital, Newcastle upon Tyne, United Kingdom
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
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Buick JE, Austin PC, Cheskes S, Ko DT, Atzema CL. Prediction models in prehospital and emergency medicine research: How to derive and internally validate a clinical prediction model. Acad Emerg Med 2023; 30:1150-1160. [PMID: 37266925 DOI: 10.1111/acem.14756] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Revised: 05/24/2023] [Accepted: 05/29/2023] [Indexed: 06/03/2023]
Abstract
Clinical prediction models are created to help clinicians with medical decision making, aid in risk stratification, and improve diagnosis and/or prognosis. With growing availability of both prehospital and in-hospital observational registries and electronic health records, there is an opportunity to develop, validate, and incorporate prediction models into clinical practice. However, many prediction models have high risk of bias due to poor methodology. Given that there are no methodological standards aimed at developing prediction models specifically in the prehospital setting, the objective of this paper is to describe the appropriate methodology for the derivation and validation of clinical prediction models in this setting. What follows can also be applied to the emergency medicine (EM) setting. There are eight steps that should be followed when developing and internally validating a prediction model: (1) problem definition, (2) coding of predictors, (3) addressing missing data, (4) ensuring adequate sample size, (5) variable selection, (6) evaluating model performance, (7) internal validation, and (8) model presentation. Subsequent steps include external validation, assessment of impact, and cost-effectiveness. By following these steps, researchers can develop a prediction model with the methodological rigor and quality required for prehospital and EM research.
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Affiliation(s)
- Jason E Buick
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Peter C Austin
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada
- Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Sheldon Cheskes
- Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
- Division of Emergency Medicine, Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Dennis T Ko
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada
- Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Clare L Atzema
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada
- Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
- Division of Emergency Medicine, Department of Medicine, University of Toronto, Toronto, Ontario, Canada
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Anfinsen ÅM, Rosendahl-Riise H, Nygård O, Tell GS, Ueland PM, Ulvik A, McCann A, Dierkes J, Lysne V. Exploratory analyses on the effect of time since last meal on concentrations of amino acids, lipids, one-carbon metabolites, and vitamins in the Hordaland Health Study. Eur J Nutr 2023; 62:3079-3095. [PMID: 37498368 PMCID: PMC10468919 DOI: 10.1007/s00394-023-03211-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Accepted: 07/10/2023] [Indexed: 07/28/2023]
Abstract
PURPOSE Dietary intake may have pronounced effects on circulating biomarker concentrations. Therefore, the aim was to provide a descriptive overview of serum metabolite concentrations in relation to time since last meal, focusing on amino acids, lipids, one-carbon metabolites, and biomarkers of vitamin status. METHODS We used baseline data from the observational community-based Hordaland Health Study, including 2960 participants aged 46-49 years and 2874 participants aged 70-74 years. A single blood draw was taken from each participant, and time since last meal varied. Estimated marginal geometric mean metabolite concentrations were plotted as a function of time since last meal, up to 7 h, adjusted for age, sex, and BMI. RESULTS We observed a common pattern for nearly all amino acids and one-carbon metabolites with highest concentrations during the first 3 h after dietary intake. Homocysteine and cysteine were lowest the 1st hour after a meal, while no patterns were observed for glutamate and glutamic acid. The concentrations of phylloquinone and triglycerides were highest 1 h after dietary intake. Thiamine and thiamine monophosphate concentrations were highest, while flavin mononucleotide concentrations were lowest within the first 2 h after a meal. No clear patterns emerged for the other fat-soluble vitamins, blood lipids, or B-vitamin biomarkers. CONCLUSION Our findings suggest that distinguishing between "fasting" and "non-fasting" blood samples may be inadequate, and a more granular approach is warranted. This may have implications for how to account for dietary intake when blood sampling in both clinical and research settings.
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Affiliation(s)
- Åslaug Matre Anfinsen
- Mohn Nutrition Research Laboratory, Centre for Nutrition, Department of Clinical Science, University of Bergen, Bergen, Norway.
| | - Hanne Rosendahl-Riise
- Mohn Nutrition Research Laboratory, Centre for Nutrition, Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Ottar Nygård
- Mohn Nutrition Research Laboratory, Centre for Nutrition, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Heart Disease, Haukeland University Hospital, Bergen, Norway
| | | | | | | | | | - Jutta Dierkes
- Mohn Nutrition Research Laboratory, Centre for Nutrition, Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Department of Laboratory Medicine and Pathology, Haukeland University Hospital, Bergen, Norway
| | - Vegard Lysne
- Mohn Nutrition Research Laboratory, Centre for Nutrition, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Heart Disease, Haukeland University Hospital, Bergen, Norway
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Oka M. Neighborhood-level Residential Isolation and Neighborhood Composition: Similar but Different. J Urban Health 2023; 100:987-1006. [PMID: 37581710 PMCID: PMC10618146 DOI: 10.1007/s11524-023-00750-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/06/2023] [Indexed: 08/16/2023]
Abstract
Residential segregation has been considered as a potential cause of racial and/or ethnic disparities in health. Among the five dimensions of residential segregation, the isolation dimension has been conceived to play an essential role in disproportionately shaping the health of racial and ethnic minorities, particularly in urban or metropolitan areas. However, a noticeable amount of research studies has been using informal measures of neighborhood composition (i.e., proportions or percentages), which do not capture any of the five dimensions of residential segregation. Since the inappropriateness of measurement may obstruct a meaningful interpretation and an effective dissemination of research findings, a combination of graphical and non-graphical techniques was used to demonstrate the similarities and differences between formal measures of neighborhood-level residential isolation and informal measures of neighborhood composition. These were intended to provide intuitive and mutual understandings across academic disciples (e.g., city or urban planning, geography, public health, and sociology) and practitioners or professionals in multiple fields (e.g., community development workers, health service providers, policymakers, and social workers). Conceptual and methodological explanations with analytical discussions are also provided to differentiate and/or distinguish the two types of measures. While the concepts, methodologies, and research implications discussed herein are most relevant for research studies in urban or metropolitan areas of the United States, the general framework is also applicable to those of other industrialized counties.
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Affiliation(s)
- Masayoshi Oka
- Department of Management, Faculty of Management, Josai University, 1-1 Keyakidai, Sakado City, Saitama Prefecture, 350-0295, Japan.
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45
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Albers JD, Meertens RM, Savelberg HHCM, Köhler S, Wesselius A, Schram MT, Stehouwer CDA, de Galan BE, van Greevenbroek MMJ, van der Kallen CJH, Eussen SJPM, Bosma H, Schaper NC, Koster A. Both short and long sleep durations are associated with type 2 diabetes, independent from traditional lifestyle risk factors-The Maastricht Study. Sleep Health 2023; 9:733-741. [PMID: 37573207 DOI: 10.1016/j.sleh.2023.06.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 05/17/2023] [Accepted: 06/27/2023] [Indexed: 08/14/2023]
Abstract
OBJECTIVES This study examined the cross-sectional association between sleep duration, prediabetes, and type 2 diabetes, and its independence from the traditional lifestyle risk factors diet, physical activity, smoking behavior, and alcohol consumption. METHODS Cross-sectional data from 5561 people aged 40-75 years recruited into The Maastricht Study between 2010 and 2018 were used (1:1 female:male and mean age: 60.1 years [standard deviation: 8.6]). Sleep duration was operationalized as in-bed time, algorithmically derived from activPAL3 accelerometer data (median 7 nights, IQR 1). Glucose metabolism status was determined with an oral glucose tolerance test. Multinomial logistic regression was used to assess the association of sleep duration as restricted cubic spline with prediabetes and type 2 diabetes. We adjusted for sex, age, educational level, the use of sleep medication or antidepressants, and the following lifestyle risk factors: diet quality, physical activity, smoking behavior, and alcohol consumption. RESULTS A U-shaped association between sleep duration and type 2 diabetes was found. Compared to those with a sleep duration of 8 hours, participants with a sleep duration of 5 and 12 hours had higher odds of type 2 diabetes (OR: 2.9 [95% CI 1.9 to 4.4] and OR 3.2 [2.0 to 5.2], respectively). This association remained after further adjustment for the lifestyle risk factors (OR: 2.6 [1.7 to 4.1] and OR 1.8 [1.1 to 3.1]). No such association was observed between sleep duration and prediabetes. CONCLUSIONS Both short and long sleep durations are associated positively and independently of lifestyle and cardiovascular risk factors with type 2 diabetes, but not with prediabetes.
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Affiliation(s)
- Jeroen D Albers
- Department of Social Medicine, Maastricht University, Maastricht, the Netherlands; Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, the Netherlands.
| | - Ree M Meertens
- Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, the Netherlands; School for Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University, Maastricht, the Netherlands; Department of Health Promotion, Maastricht University, Maastricht, the Netherlands
| | - Hans H C M Savelberg
- School for Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University, Maastricht, the Netherlands; Department of Human Movement Sciences, Maastricht University, Maastricht, the Netherlands
| | - Sebastian Köhler
- Department of Psychiatry and Neuropsychology, Maastricht University Medical Center, Maastricht, the Netherlands; School for Mental Health and Neuroscience (MHeNS), Maastricht University, Maastricht, the Netherlands
| | - Anke Wesselius
- School for Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University, Maastricht, the Netherlands; Department of Genetics & Cell Biology, Complex Genetics, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Miranda T Schram
- School for Mental Health and Neuroscience (MHeNS), Maastricht University, Maastricht, the Netherlands; Department of Internal Medicine, Maastricht University Medical Centre, Maastricht, the Netherlands; Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands; Heart and Vascular Centre, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Coen D A Stehouwer
- Department of Internal Medicine, Maastricht University Medical Centre, Maastricht, the Netherlands; Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands
| | - Bastiaan E de Galan
- Department of Internal Medicine, Maastricht University Medical Centre, Maastricht, the Netherlands; Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands; Department of Internal Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Marleen M J van Greevenbroek
- Department of Internal Medicine, Maastricht University Medical Centre, Maastricht, the Netherlands; Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands
| | - Carla J H van der Kallen
- Department of Internal Medicine, Maastricht University Medical Centre, Maastricht, the Netherlands; Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands
| | - Simone J P M Eussen
- Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, the Netherlands; Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands; Department of Epidemiology, Maastricht University, Maastricht, the Netherlands
| | - Hans Bosma
- Department of Social Medicine, Maastricht University, Maastricht, the Netherlands; Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, the Netherlands
| | - Nicolaas C Schaper
- Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, the Netherlands; Department of Internal Medicine, Maastricht University Medical Centre, Maastricht, the Netherlands; Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands
| | - Annemarie Koster
- Department of Social Medicine, Maastricht University, Maastricht, the Netherlands; Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, the Netherlands
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Sears EH, Hinton AC, Lopez-Pintado S, Lary CW, Zuckerman JB. Gaps in Cystic Fibrosis Care Are Associated with Reduced Lung Function in the U.S. Cystic Fibrosis Foundation Patient Registry. Ann Am Thorac Soc 2023; 20:1250-1257. [PMID: 37027571 DOI: 10.1513/annalsats.202211-951oc] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 04/07/2023] [Indexed: 04/09/2023] Open
Abstract
Rationale: Cystic fibrosis (CF) is a genetic disease leading to progressive lung function loss and early mortality. Many clinical and demographic variables are associated with lung function decline, but little is known about the effects of prolonged periods of missed care. Objectives: To determine if missed care in the Cystic Fibrosis Foundation Patient Registry (CFFPR) is associated with decreased lung function at follow-up visits. Methods: Deidentified CFFPR data for 2004-2016 were analyzed, with the exposure of interest being ⩾12-month gap in CFFPR data. We modeled percentage predicted forced expiratory volume in 1 second using longitudinal semiparametric modeling with natural cubic splines for age (knots at quantiles) and with subject-specific random effects, adjusted for sex and CFTR (cystic fibrosis transmembrane conductance regulator) genotype, race, and ethnicity and included time-varying covariates for gaps in care, insurance type, underweight body mass index, CF-related diabetes status, and chronic infections. Results: A total of 24,328 individuals with 1,082,899 encounters in the CFFPR met inclusion criteria. In the cohort, 8,413 (35%) individuals had at least a single ⩾12-month episode of discontinuity, whereas 15,915 (65%) had continuous care. Of the encounters preceded by a 12-month gap, 75.8% occurred in patients 18 years and older. Compared with those with continuous care, those with a discontinuous care episode had a lower follow-up percentage predicted forced expiratory volume in 1 second at the index visit (-0.81%; 95% confidence interval, -1.00, -0.61) after adjustment for other variables. The magnitude of this difference was much greater (-2.1%; 95% confidence interval, -1.5, -2.7) in young adult F508del homozygotes. Conclusions: There was a high rate of ⩾12-month gap in care, especially in adults, documented in the CFFPR. Discontinuous care identified in the CFFPR was strongly associated with decreased lung function, especially in adolescents and young adults homozygous for the F508del CFTR mutation. This may have implications for identifying and treating people with lengthy gaps in care and may have implications for CFF care recommendations.
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Affiliation(s)
- Edmund H Sears
- Pulmonary and Critical Care Medicine, Maine Medical Center, Portland, Maine
| | | | - Sara Lopez-Pintado
- Bouve College of Health Sciences, Northeastern University, Boston, Massachusetts; and
| | - Christine W Lary
- Bouve College of Health Sciences, Northeastern University, Boston, Massachusetts; and
- Roux Institute at Northeastern University, Portland, Maine
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Denz R, Timmesfeld N. Visualizing the (Causal) Effect of a Continuous Variable on a Time-To-Event Outcome. Epidemiology 2023; 34:652-660. [PMID: 37462467 PMCID: PMC10392888 DOI: 10.1097/ede.0000000000001630] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/03/2023]
Abstract
Visualization is a key aspect of communicating the results of any study aiming to estimate causal effects. In studies with time-to-event outcomes, the most popular visualization approach is depicting survival curves stratified by the variable of interest. This approach cannot be used when the variable of interest is continuous. Simple workarounds, such as categorizing the continuous covariate and plotting survival curves for each category, can result in misleading depictions of the main effects. Instead, we propose a new graphic, the survival area plot, to directly depict the survival probability over time and as a function of a continuous covariate simultaneously. This plot utilizes g-computation based on a suitable time-to-event model to obtain the relevant estimates. Through the use of g-computation, those estimates can be adjusted for confounding without additional effort, allowing a causal interpretation under the standard causal identifiability assumptions. If those assumptions are not met, the proposed plot may still be used to depict noncausal associations. We illustrate and compare the proposed graphics to simpler alternatives using data from a large German observational study investigating the effect of the Ankle-Brachial Index on survival. To facilitate the usage of these plots, we additionally developed the contsurvplot R-package, which includes all methods discussed in this paper.
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Affiliation(s)
- Robin Denz
- From the Department of Medical Informatics, Biometry, and Epidemiology, Ruhr-University Bochum, Germany
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Venkatesh N, Martini A, McQuade JL, Msaouel P, Hahn AW. Obesity and renal cell carcinoma: Biological mechanisms and perspectives. Semin Cancer Biol 2023; 94:21-33. [PMID: 37286114 PMCID: PMC10526958 DOI: 10.1016/j.semcancer.2023.06.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 05/31/2023] [Accepted: 06/02/2023] [Indexed: 06/09/2023]
Abstract
Obesity, defined by body mass index (BMI), is an established risk factor for specific renal cell carcinoma (RCC) subtypes such as clear cell RCC, the most common RCC histology. Many studies have identified an association between obesity and improved survival after diagnosis of RCC, a potential "obesity paradox." Clinically, there is uncertainty whether improved outcomes observed after diagnosis are driven by stage, type of treatment received, or artifacts of longitudinal changes in weight and body composition. The biological mechanisms underlying obesity's influence on RCC are not fully established, but multiomic and mechanistic studies suggest an impact on tumor metabolism, particularly fatty acid metabolism, angiogenesis, and peritumoral inflammation, which are known to be key biological hallmarks of clear cell RCC. Conversely, high-intensity exercise associated with increased muscle mass may be a risk factor for renal medullary carcinoma, a rare RCC subtype that predominantly occurs in individuals with sickle hemoglobinopathies. Herein, we highlight methodologic challenges associated with studying the influence of obesity on RCC and review the clinical evidence and potential underlying mechanisms associating RCC with BMI and body composition.
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Affiliation(s)
- Neha Venkatesh
- Department of Internal Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Alberto Martini
- Department of Urology, Division of Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jennifer L McQuade
- Department of Melanoma Medical Oncology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Pavlos Msaouel
- Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; David H. Koch Center for Applied Research of Genitourinary Cancers, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA.
| | - Andrew W Hahn
- Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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49
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Erndt-Marino J, O'Hearn M, Menichetti G. An integrative analytical framework to identify healthy, impactful, and equitable foods: a case study on 100% orange juice. Int J Food Sci Nutr 2023; 74:668-684. [PMID: 37545294 DOI: 10.1080/09637486.2023.2241672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 07/19/2023] [Accepted: 07/23/2023] [Indexed: 08/08/2023]
Abstract
To identify healthy, impactful, and equitable foods, we combined health scores from six diverse nutrient profiling systems (NPS) into a meta-framework (meta-NPS) and paired this with dietary guideline adherence assessment via multilevel regression and poststratification. In a case-study format, a commonly debated beverage formulation - 100% orange juice (OJ) - was chosen to showcase the utility and depth of our framework, systematically scoring high across multiple food systems (i.e. a Meta-Score percentile = 93rd and Stability percentile = 75th) and leading to an expected increase of US dietary fruit guideline adherence by ∼10%. Moreover, the increased adherence varies across the 300 sociodemographic strata, with the benefit patterns being sensitive to absolute or relative quantification of the difference of adherence affected by OJ. In sum, the adaptable, integrative framework we established deepens the science of nutrient profiling and dietary guideline adherence assessment while shedding light on the nuances of defining equitable health effects.
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Affiliation(s)
| | - Meghan O'Hearn
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
- Food Systems for the Future, Chicago, IL, USA
| | - Giulia Menichetti
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
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50
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Zapf F, Butt W, Namachivayam SP. Opinion: on the importance of maintaining the functional form of explanatory variables. Cardiol Young 2023; 33:1337-1341. [PMID: 35924311 DOI: 10.1017/s1047951122002384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
In medical research, continuous variables are often categorised into two or more groups before being included in the analysis; this practice often comes with a cost, such as loss of power in analysis, less reliable estimates, and can often leave residual confounding in the results. In this research report, we show this by way of estimates from a regression analysis looking at the association between acute kidney injury and post-operative mortality in a sample of 194 neonates who underwent the Norwood operation. Two models were developed, one using a continuous measure of renal function as the main explanatory variable and second using a categorised version of the same variable. A continuous measure of renal function is more likely to yield reliable estimates and also maintains more statistical power in the analysis to detect a relation between the exposure and outcome. It also reveals the true biological relationship between the exposure and outcome. Categorising a continuous variable may not only miss an important message, it can also get it wrong. Additionally, given a non-linear relationship is commonly encountered between the exposure and outcome variable, investigators are advised to retain a predictor with a linear term only when supported by data. All of this is particularly important in small data sets which account for the majority of clinical research studies.
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Affiliation(s)
- Florian Zapf
- Cardiac Intensive Care Unit, The Royal Children's Hospital, Melbourne, Victoria, Australia
| | - Warwick Butt
- Cardiac Intensive Care Unit, The Royal Children's Hospital, Melbourne, Victoria, Australia
- Clinical Sciences, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia
- Department of Critical Care, University of Melbourne, Melbourne, Victoria, Australia
| | - Siva P Namachivayam
- Cardiac Intensive Care Unit, The Royal Children's Hospital, Melbourne, Victoria, Australia
- Clinical Sciences, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia
- Department of Critical Care, University of Melbourne, Melbourne, Victoria, Australia
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