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Lieber SB, Nahid M, Legge A, Rajan M, Lipschultz RA, Lin M, Reid MC, Mandl LA. Comparison of two frailty definitions in women with systemic lupus erythematosus. Rheumatology (Oxford) 2024; 63:1384-1390. [PMID: 37555816 PMCID: PMC11065438 DOI: 10.1093/rheumatology/kead393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 06/21/2023] [Accepted: 07/11/2023] [Indexed: 08/10/2023] Open
Abstract
OBJECTIVES Frailty is a risk factor for adverse health in SLE. The Fried phenotype (FP) and the SLICC Frailty Index (SLICC-FI) are common frailty metrics reflecting distinct approaches to frailty assessment. We aimed to (1) compare frailty prevalence according to both metrics in women with SLE and describe differences between frail and non-frail participants using each method and (2) evaluate for cross-sectional associations between each metric and self-reported disability. METHODS Women aged 18-70 years with SLE were enrolled. FP and SLICC-FI were measured, and agreement calculated using a kappa statistic. Physician-reported disease activity and damage, Patient Reported Outcome Measurement Information System (PROMIS) computerized adaptive tests, and Valued Life Activities (VLA) self-reported disability were assessed. Differences between frail and non-frail participants were evaluated cross-sectionally, and the association of frailty with disability was determined for both metrics. RESULTS Of 67 participants, 17.9% (FP) and 26.9% (SLICC-FI) were frail according to each metric (kappa = 0.41, P < 0.01). Compared with non-frail women, frail women had greater disease damage, worse PROMIS scores, and greater disability (all P < 0.01 for FP and SLICC-FI). After age adjustment, frailty remained associated with a greater odds of disability [FP: odds ratio (OR) 4.7, 95% CI 1.2, 18.8; SLICC-FI: OR 4.6, 95% CI 1.3, 15.8]. CONCLUSION Frailty is present in 17.9-26.9% of women with SLE. These metrics identified a similar, but non-identical group of women as frail. Further studies are needed to explore which metric is most informative in this population.
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Affiliation(s)
- Sarah B Lieber
- Division of Rheumatology, Department of Medicine, Hospital for Special Surgery, New York, NY, USA
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Musarrat Nahid
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
- Division of General Internal Medicine, Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Alexandra Legge
- Division of Rheumatology, Department of Medicine, Dalhousie University, Halifax, NS, Canada
| | - Mangala Rajan
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
- Division of General Internal Medicine, Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | | | - Myriam Lin
- Rutgers New Jersey Medical School, Newark, NJ, USA
| | - M Carrington Reid
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
- Division of Geriatrics and Palliative Medicine, Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Lisa A Mandl
- Division of Rheumatology, Department of Medicine, Hospital for Special Surgery, New York, NY, USA
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
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Ghosh AK, Venkatraman S, Nanna MG, Safford MM, Colantonio LD, Brown TM, Pinheiro LC, Peterson ED, Navar AM, Sterling MR, Soroka O, Nahid M, Banerjee S, Goyal P. Risk Prediction for Atherosclerotic Cardiovascular Disease With and Without Race Stratification. JAMA Cardiol 2024; 9:55-62. [PMID: 38055247 PMCID: PMC10701663 DOI: 10.1001/jamacardio.2023.4520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 10/03/2023] [Indexed: 12/07/2023]
Abstract
Importance Use of race-specific risk prediction in clinical medicine is being questioned. Yet, the most commonly used prediction tool for atherosclerotic cardiovascular disease (ASCVD)-pooled cohort risk equations (PCEs)-uses race stratification. Objective To quantify the incremental value of race-specific PCEs and determine whether adding social determinants of health (SDOH) instead of race improves model performance. Design, Setting, and Participants Included in this analysis were participants from the biracial Reasons for Geographic and Racial Differences in Stroke (REGARDS) prospective cohort study. Participants were aged 45 to 79 years, without ASCVD, and with low-density lipoprotein cholesterol level of 70 to 189 mg/dL or non-high-density lipoprotein cholesterol level of 100 to 219 mg/dL at baseline during the period of 2003 to 2007. Participants were followed up to 10 years for incident ASCVD, including myocardial infarction, coronary heart disease death, and fatal and nonfatal stroke. Study data were analyzed from July 2022 to February 2023. Main outcome/measures Discrimination (C statistic, Net Reclassification Index [NRI]), and calibration (plots, Nam D'Agostino test statistic comparing observed to predicted events) were assessed for the original PCE, then for a set of best-fit, race-stratified equations including the same variables as in the PCE (model C), best-fit equations without race stratification (model D), and best-fit equations without race stratification but including SDOH as covariates (model E). Results This study included 11 638 participants (mean [SD] age, 61.8 [8.3] years; 6764 female [58.1%]) from the REGARDS cohort. Across all strata (Black female, Black male, White female, and White male participants), C statistics did not change substantively compared with model C (Black female, 0.71; 95% CI, 0.68-0.75; Black male, 0.68; 95% CI, 0.64-0.73; White female, 0.77; 95% CI, 0.74-0.81; White male, 0.68; 95% CI, 0.64-0.71), in model D (Black female, 0.71; 95% CI, 0.67-0.75; Black male, 0.68; 95% CI, 0.63-0.72; White female, 0.76; 95% CI, 0.73-0.80; White male, 0.68; 95% CI, 0.65-0.71), or in model E (Black female, 0.72; 95% CI, 0.68-0.76; Black male, 0.68; 95% CI, 0.64-0.72; White female, 0.77; 95% CI, 0.74-0.80; White male, 0.68; 95% CI, 0.65-0.71). Comparing model D with E using the NRI showed a net percentage decline in the correct assignment to higher risk for male but not female individuals. The Nam D'Agostino test was not significant for all race-sex strata in each model series, indicating good calibration in all groups. Conclusions Results of this cohort study suggest that PCE performed well overall but had poorer performance in both BM and WM participants compared with female participants regardless of race in the REGARDS cohort. Removal of race or the addition of SDOH did not improve model performance in any subgroup.
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Affiliation(s)
- Arnab K. Ghosh
- Department of Medicine, Weill Cornell Medical College, Cornell University, New York, New York
| | - Sara Venkatraman
- Department of Medicine, Weill Cornell Medical College, Cornell University, New York, New York
- Department of Statistics and Data Science, Cornell University, New York, New York
| | - Michael G. Nanna
- Department of Internal Medicine, Section of Cardiovascular Medicine, Yale University School of Medicine, New Haven, Connecticut
| | - Monika M. Safford
- Department of Medicine, Weill Cornell Medical College, Cornell University, New York, New York
| | | | - Todd M. Brown
- Division of Cardiovascular Disease, University of Alabama at Birmingham, Birmingham
| | - Laura C. Pinheiro
- Department of Medicine, Weill Cornell Medical College, Cornell University, New York, New York
| | - Eric D. Peterson
- Division of Cardiology, UT Southwestern Medical Center, Dallas, Texas
| | - Ann Marie Navar
- Division of Cardiology, UT Southwestern Medical Center, Dallas, Texas
| | - Madeline R. Sterling
- Department of Medicine, Weill Cornell Medical College, Cornell University, New York, New York
| | - Orysya Soroka
- Department of Medicine, Weill Cornell Medical College, Cornell University, New York, New York
| | - Musarrat Nahid
- Department of Medicine, Weill Cornell Medical College, Cornell University, New York, New York
| | - Samprit Banerjee
- Department of Population Health Sciences, Weill Cornell Medical College, Cornell University, New York, New York
| | - Parag Goyal
- Department of Medicine, Weill Cornell Medical College, Cornell University, New York, New York
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Zhang DT, Onyebeke C, Nahid M, Balkan L, Musse M, Pinheiro LC, Sterling MR, Durant RW, Brown TM, Levitan EB, Safford MM, Goyal P. Social Determinants of Health and Cardiologist Involvement in the Care of Adults Hospitalized for Heart Failure. JAMA Netw Open 2023; 6:e2344070. [PMID: 37983029 PMCID: PMC10660170 DOI: 10.1001/jamanetworkopen.2023.44070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 10/10/2023] [Indexed: 11/21/2023] Open
Abstract
Importance Involvement of a cardiologist in the care of adults during a hospitalization for heart failure (HF) is associated with reduced rates of in-hospital mortality and hospital readmission. However, not all patients see a cardiologist when they are hospitalized for HF. Objective To determine whether social determinants of health (SDOH) are associated with cardiologist involvement in the management of adults hospitalized for HF. Design, Setting, and Participants This retrospective cohort study used data from the Reasons for Geographic and Racial Difference in Stroke (REGARDS) cohort. Participants included adults who experienced an adjudicated hospitalization for HF between 2009 and 2017 in all 48 contiguous states in the US. Data analysis was performed from November 2022 to January 2023. Exposures A total of 9 candidate SDOH, aligned with the Healthy People 2030 conceptual model, were examined: Black race, social isolation, social network and/or caregiver availability, educational attainment less than high school, annual household income less than $35 000, living in rural area, living in a zip code with high poverty, living in a Health Professional Shortage Area, and living in a state with poor public health infrastructure. Main Outcomes and Measures The primary outcome was cardiologist involvement, defined as involvement of a cardiologist as the primary responsible clinician or as a consultant. Bivariate associations between each SDOH and cardiologist involvement were examined using Poisson regression with robust SEs. Results The study included 1000 participants (median [IQR] age, 77.8 [71.5-84.0] years; 479 women [47.9%]; 414 Black individuals [41.4%]; and 492 of 876 with low income [56.2%]) hospitalized at 549 unique US hospitals. Low annual household income (<$35 000) was the only SDOH with a statistically significant association with cardiologist involvement (relative risk, 0.88; 95% CI, 0.82-0.95). In a multivariable analysis adjusting for age, race, sex, HF characteristics, comorbidities, and hospital characteristics, low income remained inversely associated with cardiologist involvement (relative risk, 0.89; 95% CI, 0.82-0.97). Conclusions and Relevance This cohort study found that adults with low household income were 11% less likely than adults with higher incomes to have a cardiologist involved in their care during a hospitalization for HF. These findings suggest that socioeconomic status may bias the care provided to patients hospitalized for HF.
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Affiliation(s)
- David T. Zhang
- Department of Medicine, Weill Cornell Medicine, New York, New York
| | | | - Musarrat Nahid
- Department of Medicine, Weill Cornell Medicine, New York, New York
| | - Lauren Balkan
- Department of Medicine, Weill Cornell Medicine, New York, New York
| | - Mahad Musse
- Department of Medicine, Weill Cornell Medicine, New York, New York
| | - Laura C. Pinheiro
- Department of Health Policy and Management, Weill Cornell Medicine, New York, New York
| | | | - Raegan W. Durant
- Department of Medicine, University of Alabama at Birmingham, Birmingham
| | - Todd M. Brown
- Department of Medicine, University of Alabama at Birmingham, Birmingham
| | - Emily B. Levitan
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham
| | | | - Parag Goyal
- Department of Medicine, Weill Cornell Medicine, New York, New York
- Program for the Care and Study of the Aging Heart, Weill Cornell Medicine, New York, New York
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Krishnan JK, Mallya SG, Nahid M, Baugh AD, Han MK, Aronson KI, Goyal P, Pinheiro LC, Banerjee S, Martinez FJ, Safford MM. Disparities in Guideline Concordant Statin Treatment in Individuals With Chronic Obstructive Pulmonary Disease. Chronic Obstr Pulm Dis 2023; 10:369-379. [PMID: 37410623 PMCID: PMC10699489 DOI: 10.15326/jcopdf.2023.0395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 06/29/2023] [Indexed: 07/08/2023]
Abstract
Rationale Cardiovascular disease (CVD) affects the prognosis of patients with chronic obstructive pulmonary disease (COPD). Black women with COPD have a disproportionate risk of CVD-related mortality, yet disparities in CVD prevention in COPD are unknown. Objectives We aimed to identify race-sex differences in the receipt of statin treatment for CVD prevention, and whether these differences were explained by factors influencing health care utilization in the REasons for Geographic And Racial Differences in Stroke (REGARDS) COPD study sub-cohort. Methods We conducted a cross-sectional analysis among REGARDS Medicare beneficiaries with COPD. Our primary outcome was the presence of statin on in-home pill bottle review among individuals with an indication. Prevalence ratios (PR) for statin treatment among race-sex groups compared to White men were estimated using Poisson regression with robust variance. We then adjusted for covariates previously shown to impact health care utilization. Results Of the 2032 members within the COPD sub-cohort with sufficient data, 1435 participants (19% Black women, 14% Black men, 28% White women, and 39% White men) had a statin indication. All race-sex groups were less likely to receive statins than White men in unadjusted models. After adjusting for covariates that influence health care utilization, Black women (PR 0.76, 95% confidence interval [CI] 0.67 to 0.86) and White women (PR 0.84 95% CI 0.76 to 0.91) remained less likely to be treated compared to White men. Conclusions All race-sex groups were less likely to receive statin treatment in the REGARDS COPD sub-cohort compared to White men. This difference persisted in women after controlling for individual health care utilization factors, suggesting structural interventions are needed.
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Affiliation(s)
- Jamuna K. Krishnan
- Division of Pulmonary and Critical Care Medicine, Weill Cornell Medicine, New York, New York, United States
| | - Sonal G. Mallya
- Division of Pulmonary and Critical Care Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland, United States
- Division of General Internal Medicine, Weill Cornell Medicine, New York, New York, United States
| | - Musarrat Nahid
- Division of General Internal Medicine, Weill Cornell Medicine, New York, New York, United States
| | - Aaron D. Baugh
- Division of Pulmonary, Critical Care, Allergy, and Sleep Medicine, University of California San Francisco, San Francisco, California, United States
| | - MeiLan K. Han
- Division of Pulmonary and Critical Care Medicine, University of Michigan Health System, Ann Arbor, Michigan, United States
| | - Kerri I. Aronson
- Division of Pulmonary and Critical Care Medicine, Weill Cornell Medicine, New York, New York, United States
| | - Parag Goyal
- Division of General Internal Medicine, Weill Cornell Medicine, New York, New York, United States
- Division of Cardiology, Weill Cornell Medicine, New York, New York, United States
| | - Laura C. Pinheiro
- Division of General Internal Medicine, Weill Cornell Medicine, New York, New York, United States
| | - Samprit Banerjee
- Department of Population Health Sciences, Weill Cornell Medicine, New York, New York, United States
| | - Fernando J. Martinez
- Division of Pulmonary and Critical Care Medicine, Weill Cornell Medicine, New York, New York, United States
| | - Monika M. Safford
- Division of General Internal Medicine, Weill Cornell Medicine, New York, New York, United States
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Liu E, Nahid M, Musse M, Chen L, Hilmer SN, Zullo A, Kwak MJ, Lachs M, Levitan EB, Safford MM, Goyal P. Prescribing patterns of fall risk-increasing drugs in older adults hospitalized for heart failure. BMC Cardiovasc Disord 2023; 23:372. [PMID: 37495948 PMCID: PMC10373421 DOI: 10.1186/s12872-023-03401-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Accepted: 07/15/2023] [Indexed: 07/28/2023] Open
Abstract
BACKGROUND Older adults hospitalized for heart failure (HF) are at risk for falls after discharge. One modifiable contributor to falls is fall risk-increasing drugs (FRIDs). However, the prevalence of FRIDs among older adults hospitalized for HF is unknown. We describe patterns of FRIDs use and examine predictors of a high FRID burden. METHODS We used the national biracial REasons for Geographic and Racial Differences in Stroke (REGARDS) study, a prospective cohort recruited from 2003-2007. We included REGARDS participants aged ≥ 65 years discharged alive after a HF hospitalization from 2003-2017. We determined FRIDs -cardiovascular (CV) and non-cardiovascular (non-CV) medications - at admission and discharge from chart abstraction of HF hospitalizations. We examined the predictors of a high FRID burden at discharge via modified Poisson regression with robust standard errors. RESULTS Among 1147 participants (46.5% women, mean age 77.6 years) hospitalized at 676 hospitals, 94% were taking at least 1 FRID at admission and 99% were prescribed at least 1 FRID at discharge. The prevalence of CV FRIDs was 92% at admission and 98% at discharge, and the prevalence of non-CV FRIDs was 32% at admission and discharge. The most common CV FRID at admission (88%) and discharge (93%) were antihypertensives; the most common agents were beta blockers (61% at admission, 75% at discharge), angiotensin-converting enzyme inhibitors (36% vs. 42%), and calcium channel blockers (32% vs. 28%). Loop diuretics had the greatest change in prevalence (53% vs. 72%). More than half of the cohort (54%) had a high FRID burden (Agency for Healthcare Research and Quality (AHRQ) score ≥ 6), indicating high falls risk after discharge. In a multivariable Poisson regression analysis, the factors strongly associated with a high FRID burden at discharge included hypertension (PR: 1.41, 95% CI: 1.20, 1.65), mood disorder (PR: 1.24, 95% CI: 1.10, 1.38), and hyperpolypharmacy (PR: 1.88, 95% CI: 1.64, 2.14). CONCLUSIONS FRID use was nearly universal among older adults hospitalized for HF; more than half had a high FRID burden at discharge. Further work is needed to guide the management of a common clinical conundrum whereby guideline indications for treating HF may contribute to an increased risk for falls.
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Affiliation(s)
- Esther Liu
- Department of Medicine, Weill Cornell Medicine, Weill Medical College of Cornell University, 525 East 68Th Street, New York, NY, 10021, USA
| | - Musarrat Nahid
- Department of Medicine, Weill Cornell Medicine, Weill Medical College of Cornell University, 525 East 68Th Street, New York, NY, 10021, USA
| | - Mahad Musse
- Department of Medicine, Weill Cornell Medicine, Weill Medical College of Cornell University, 525 East 68Th Street, New York, NY, 10021, USA
| | - Ligong Chen
- University of Alabama at Birmingham, Birmingham, AL, USA
| | - Sarah N Hilmer
- The University of Sydney and Royal North Shore Hospital, Sydney, NSW, Australia
| | - Andrew Zullo
- Brown University School of Public Health, Providence, USA
| | | | - Mark Lachs
- Department of Medicine, Weill Cornell Medicine, Weill Medical College of Cornell University, 525 East 68Th Street, New York, NY, 10021, USA
| | | | - Monika M Safford
- Department of Medicine, Weill Cornell Medicine, Weill Medical College of Cornell University, 525 East 68Th Street, New York, NY, 10021, USA
| | - Parag Goyal
- Department of Medicine, Weill Cornell Medicine, Weill Medical College of Cornell University, 525 East 68Th Street, New York, NY, 10021, USA.
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Lieber SB, Nahid M, Navarro-Millán I, Rajan M, Sattui SE, Mandl LA. Frailty and emergency department utilisation in adults with systemic lupus erythematosus ≤65 years of age: an administrative claims data analysis of Medicaid beneficiaries. Lupus Sci Med 2023; 10:e000905. [PMID: 37524516 PMCID: PMC10391790 DOI: 10.1136/lupus-2023-000905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Accepted: 06/07/2023] [Indexed: 08/02/2023]
Abstract
OBJECTIVE Frailty is a risk factor for adverse health in adults with SLE, including those <65 years. Emergency department (ED) utilisation is high in adults with SLE, but to our knowledge, whether frailty is associated with ED use is unknown. In a large administrative claims dataset, we assessed risk of ED utilisation among frail adults with SLE ≤65 years of age relative to non-frail adults ≤65 years of age with SLE. METHODS Using the MarketScan Medicaid subset from 2011 to 2015, we identified beneficiaries 18-65 years with SLE (≥3 SLE International Classification of Diseases, Ninth Revision codes ≥30 days apart). Comparators without a systemic rheumatic disease (SRD) were matched 4:1 on age and gender. Frailty status in 2011 was determined using two claims-based frailty indices (CFIs). We compared risk of recurrent ED utilisation among frail and non-frail beneficiaries with SLE using an extension of the Cox proportional hazard model for recurrent events data. RESULTS Of 2262 beneficiaries with SLE and 9048 non-SRD comparators, 28.8% and 11.6% were frail, respectively, according to both CFIs. Compared with non-frail beneficiaries with SLE, frail beneficiaries with SLE had significantly higher hazard of recurrent ED use (HR 1.75, 95% CI 1.48 to 2.08). CONCLUSION Frailty increased hazard of recurrent ED visits in frail adults ≤65 years of age with SLE relative to comparable non-frail adults with SLE. Frailty is a potential target for efforts to improve quality of care in SLE.
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Affiliation(s)
- Sarah B Lieber
- Division of Rheumatology, Hospital for Special Surgery, New York City, New York, USA
- Medicine, Weill Cornell Medicine, New York City, New York, USA
| | - Musarrat Nahid
- Medicine, Division of General Internal Medicine, Weill Cornell Medicine, New York City, New York, USA
| | - Iris Navarro-Millán
- Division of Rheumatology, Hospital for Special Surgery, New York City, New York, USA
- Medicine, Division of General Internal Medicine, Weill Cornell Medicine, New York City, New York, USA
| | - Mangala Rajan
- Medicine, Division of General Internal Medicine, Weill Cornell Medicine, New York City, New York, USA
| | - Sebastian E Sattui
- Medicine, Division of Rheumatology and Clinical Immunology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Lisa A Mandl
- Division of Rheumatology, Hospital for Special Surgery, New York City, New York, USA
- Medicine, Weill Cornell Medicine, New York City, New York, USA
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Zhang DT, Onyebeke C, Nahid M, Balkan L, Musse M, Pinheiro LC, Sterling MR, Durant RW, Brown TM, Levitan EB, Safford MM, Goyal P. Social Determinants of Health and Cardiologist Involvement in the Care of Adults Hospitalized for Heart Failure. medRxiv 2023:2023.03.23.23287671. [PMID: 36993687 PMCID: PMC10055565 DOI: 10.1101/2023.03.23.23287671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Introduction The involvement of a cardiologist in the care of adults during a hospitalization for heart failure (HF) is associated with reduced rates of in-hospital mortality and hospital readmission. However, not all patients see a cardiologist when they are hospitalized for HF. Since reasons for this are not entirely clear, we sought to determine whether social determinants of health (SDOH) are associated with cardiologist involvement in the management of adults hospitalized for HF. We hypothesized that SDOH would be inversely associated with cardiologist involvement in the care of adults hospitalized for HF. Methods We included adult participants from the national REasons for Geographic And Racial Difference in Stroke (REGARDS) cohort, who experienced an adjudicated hospitalization for HF between 2009 and 2017. We excluded participants who were hospitalized at institutions that lacked cardiology services (n=246). We examined nine candidate SDOH, which align with the Healthy People 2030 conceptual model: Black race, social isolation (0-1 visits from a family or friend in the past month), social network/caregiver availability (having someone to care for them if ill), educational attainment < high school, annual household income < $35,000, living in rural areas, living in a zip code with high poverty, living in a Health Professional Shortage Area, and residing in a state with poor public health infrastructure. The primary outcome was cardiologist involvement, a binary variable which was defined as involvement of a cardiologist as the primary responsible clinician or as a consultant, collected via chart review. We examined associations between each SDOH and cardiologist involvement using Poisson regression with robust standard errors. Candidate SDOH with statistically significant associations (p<0.10) were retained for multivariable analysis. Potential confounders/covariates for the multivariable analysis included age, race, sex, HF characteristics, comorbidities, and hospital characteristics. Results We examined 876 participants hospitalized at 549 unique US hospitals. The median age was 77.5 years (IQR 71.0-83.7), 45.9% were female, 41.4% were Black, and 56.2% had low income. Low household income (<$35,000/year) was the only SDOH that had a statistically significant association with cardiologist involvement in a bivariate analysis (RR: 0.88 [95% CI: 0.82-0.95]). After adjusting for potential confounders, low income remained inversely associated (RR: 0.89 [95% CI: 0.82-0.97]). Conclusions Adults with low household income were 11% less likely to have a cardiologist involved in their care during a hospitalization for HF. This suggests that socioeconomic status may implicitly bias the care provided to patients hospitalized for HF.
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Affiliation(s)
- David T. Zhang
- Department of Medicine, Weill Cornell Medicine, New York, NY
| | | | - Musarrat Nahid
- Division of General Internal Medicine, Department of Medicine, Weill Cornell Medicine, New York, NY
| | - Lauren Balkan
- Department of Medicine, Weill Cornell Medicine, New York, NY
| | - Mahad Musse
- Department of Medicine, Weill Cornell Medicine, New York, NY
| | - Laura C. Pinheiro
- Division of General Internal Medicine, Department of Medicine, Weill Cornell Medicine, New York, NY
| | - Madeline R. Sterling
- Division of General Internal Medicine, Department of Medicine, Weill Cornell Medicine, New York, NY
| | - Raegan W. Durant
- Division of Preventive Medicine, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL
| | - Todd M. Brown
- Division of Cardiovascular Disease, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL
| | - Emily B. Levitan
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL
| | | | - Parag Goyal
- Division of General Internal Medicine, Department of Medicine, Weill Cornell Medicine, New York, NY
- Division of Cardiology, Department of Medicine, Weill Cornell Medicine, New York, NY
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8
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Lieber SB, Nahid M, Rajan M, Barbhaiya M, Sammaritano L, Lipschultz RA, Lin M, Reid MC, Mandl LA. Association of Baseline Frailty with Patient-Reported Outcomes in Systemic Lupus Erythematosus at 1 Year. J Frailty Aging 2023; 12:247-251. [PMID: 37493387 PMCID: PMC11012234 DOI: 10.14283/jfa.2023.24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/27/2023]
Abstract
The relationship of baseline frailty with subsequent patient-reported outcomes in systemic lupus erythematosus (SLE) remains unclear. We assessed these associations in a pilot prospective cohort study. Frailty based on the FRAIL scale and the Fried phenotype and patient-reported outcomes, namely Patient Reported Outcomes Measurement Information System computerized adaptive tests and Valued Life Activities disability, were measured at baseline and 1 year among women aged 18-70 years with SLE enrolled at a single center. Differences in Patient Reported Outcomes Measurement Information System computerized adaptive tests between frail and non-frail participants were evaluated using Wilcoxon rank sum tests, and the association of baseline frailty with self-report disability at 1 year was estimated using linear regression. Of 51 participants, 24% (FRAIL scale) and 16% (Fried phenotype) met criteria for frailty at baseline despite median age of 55.0 and 56.0 years, respectively. Women with (versus without) baseline frailty using either measure had worse 1-year Patient Reported Outcomes Measurement Information System computerized adaptive test scores across multiple domains and greater self-report disability. Baseline frailty was significantly associated with self-report disability at 1 year (FRAIL scale: parameter estimate 0.55, 95% confidence interval (CI) 0.21-0.89, p<0.01; Fried phenotype: parameter estimate 0.61, 95% CI 0.22-1.00, p<0.01), including only slight attenuation after adjustment for SLE cumulative organ damage (FRAIL scale: parameter estimate 0.45, 95% CI 0.09-0.81, p=0.02; Fried phenotype: parameter estimate 0.49, 95% CI 0.09-0.90, p=0.02). These preliminary findings support frailty as an independent risk factor for clinically relevant patient-reported outcomes, including disability onset, among women with SLE.
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Affiliation(s)
- S B Lieber
- Sarah B. Lieber, MD, MS, Division of Rheumatology, Hospital for Special Surgery, 535 East 70th Street, New York, NY 10021, Phone (212)606-1935, Fax (212) 606-1519, , ORCID ID: 0000-0002-6176-9740
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Moreland CJ, Meeks LM, Nahid M, Panzer K, Fancher TL. Exploring accommodations along the education to employment pathway for deaf and hard of hearing healthcare professionals. BMC Med Educ 2022; 22:345. [PMID: 35524331 PMCID: PMC9073820 DOI: 10.1186/s12909-022-03403-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Accepted: 04/24/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND Deaf and hard of hearing (DHH) people are an underserved population and underrepresented among healthcare professionals. A major barrier to success for DHH healthcare professionals is obtaining effective accommodations during education and employment. Our objective: describe DHH individuals' experiences with accommodations in healthcare education. METHODS We used an online survey and multipronged snowball sampling to recruit participants who identify as DHH and who had applied to a U.S. health professional school (regardless of acceptance status). One hundred forty-eight individuals representing multiple professions responded; 51 had completed their training. Over 80% had been accepted to, were currently enrolled, or had completed health professions schools or residency programs, and/or were employed. The survey included questions addressing experiences applying to health professions programs and employment; satisfaction with accommodations in school and training; having worked with a disability resource professional (DRP); and depression screening. RESULTS Use and type of accommodation varied widely. While in school, respondents reported spending a mean of 2.1 h weekly managing their accommodations. Only 50% were highly satisfied with the accommodations provided by their programs. Use of disability resource providers (DRPs) for accommodations was highest during school (56%) and less frequent during post-graduate training (20%) and employment (14%). Respondents who transitioned directly from school to employment (versus via additional training) were more satisfied with their accommodations during school and were more likely to find employment (p = 0.02). Seventeen respondents screened positive for risk of depression; a positive screen was statistically associated with lower school accommodation satisfaction. CONCLUSIONS DHH people study and practice across many health professions. While respondents were mostly successful in entering health professions programs, accommodation experiences and satisfaction varied. Satisfaction with accommodations was related to successful employment and wellness. Low satisfaction was associated with higher likelihood of depression symptoms. To increase representation in the workforce, healthcare professional schools, training programs, and employers should enhance support for the learning and working climates for people with disabilities.
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Affiliation(s)
- C. J. Moreland
- Department of Internal Medicine, Dell Medical School at the University of Texas at Austin, 1601 Trinity St, Bldg B, Austin, TX 78712 USA
- Center for a Diverse Healthcare Workforce, University of California, Davis, School of Medicine, Sacramento, CA USA
| | - L. M. Meeks
- Center for a Diverse Healthcare Workforce, University of California, Davis, School of Medicine, Sacramento, CA USA
- Department of Family Medicine, University of Michigan Medical School, 1018 Fuller St., Ann Arbor, MI 48104-1213 USA
| | - M. Nahid
- General & Internal Medicine, Weil Cornell Medicine, 420 E 70th St., New York, NY 10021 USA
| | - K. Panzer
- Department of Family Medicine, University of Michigan Medical School, 1018 Fuller St., Ann Arbor, MI 48104-1213 USA
| | - T. L. Fancher
- Center for a Diverse Healthcare Workforce, University of California, Davis, School of Medicine, Sacramento, CA USA
- Department of Internal Medicine, UC Davis School of Medicine, 4610 X Street, #4101, Sacramento, CA 95817 USA
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Onyebeke C, Zhang D, Musse M, Unlu O, Nahid M, Reshetnyak E, Levitan E, Safford M, Goyal P. Patterns Of Contraindications And Initiation Of Guideline-Directed Medical Therapy Among Older Adults With Heart Failure, With And Without Polypharmacy. J Card Fail 2022. [DOI: 10.1016/j.cardfail.2022.03.109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Tung J, Nahid M, Rajan M, Logio L. The impact of a faculty development program, the Leadership in Academic Medicine Program (LAMP), on self-efficacy, academic promotion and institutional retention. BMC Med Educ 2021; 21:468. [PMID: 34474670 PMCID: PMC8414755 DOI: 10.1186/s12909-021-02899-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 08/22/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Academic medical centers invest considerably in faculty development efforts to support the career success and promotion of their faculty, and to minimize faculty attrition. This study evaluated the impact of a faculty development program called the Leadership in Academic Medicine Program (LAMP) on participants' (1) self-ratings of efficacy, (2) promotion in academic rank, and (3) institutional retention. METHOD Participants from the 2013-2020 LAMP cohorts were surveyed pre and post program to assess their level of agreement with statements that spanned domains of self-awareness, self-efficacy, satisfaction with work and work environment. Pre and post responses were compared using McNemar's tests. Changes in scores across gender were compared using Wilcoxon Rank Sum/Mann-Whitney tests. LAMP participants were matched to nonparticipant controls by gender, rank, department, and time of hire to compare promotions in academic rank and departures from the organization. Kaplan Meier curves and Cox proportional hazards models were used to examine differences. RESULTS There were significant improvements in almost all self-ratings on program surveys (p < 0.05). Greatest improvements were seen in "understand the promotions process" (36% vs. 94%), "comfortable negotiating" (35% vs. 74%), and "time management" (55% vs. 92%). There were no statistically significant differences in improvements by gender, however women faculty rated themselves lower on all pre-program items compared to men. There was significant difference found in time-to-next promotion (p = 0.003) between LAMP participants and controls. Kaplan-Meier analysis demonstrated that LAMP faculty achieved next promotion more often and faster than controls. Cox-proportional-hazards analyses found that LAMP faculty were 61% more likely to be promoted than controls (hazard ratio [HR] 1.61, 95% confidence interval [CI] 1.16-2.23, p-value = 0.004). There was significant difference found in time-to-departure (p < 0.0001) with LAMP faculty retained more often and for longer periods. LAMP faculty were 77% less likely to leave compared to controls (HR 0.23, 95% CI 0.16-0.34, p < 0.0001). CONCLUSIONS LAMP is an effective faculty development program as measured subjectively by participant self-ratings and objectively through comparative improvements in academic promotions and institutional retention.
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Affiliation(s)
- Judy Tung
- Division of General Internal Medicine, Department of Medicine, Weill Cornell Medicine, 505 East 70th Street HT408, New York, NY 10021 USA
| | - Musarrat Nahid
- Division of General Internal Medicine, Department of Medicine, Weill Cornell Medicine, 420 East 70th Street LH332, New York, NY 10021 USA
| | - Mangala Rajan
- Division of General Internal Medicine, Department of Medicine, Weill Cornell Medicine, 420 East 70th Street LH348, New York, NY 10021 USA
| | - Lia Logio
- Department of Medicine, Case Western Reserve University School of Medicine, 10900 Euclid Avenue, Cleveland, OH 44106 USA
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12
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Lieber SB, Nahid M, Paget S, Berman JR, Barbhaiya M, Sammaritano LR, Kirou K, Carrino JA, Rajan M, Sheira D, Mandl LA. Evaluation of a Patient-reported Frailty Tool in Women With Systemic Lupus Erythematosus. J Rheumatol 2021; 49:60-67. [PMID: 34470795 DOI: 10.3899/jrheum.201466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/17/2021] [Indexed: 11/22/2022]
Abstract
OBJECTIVE Frailty is associated with mortality in systemic lupus erythematosus (SLE), but how best to measure frailty is unclear. We aimed to compare 2 frailty metrics, the self-reported Fatigue, Resistance, Ambulation, Illnesses, and Loss of weight (FRAIL) scale (FS) and the Fried phenotype (FP), in SLE to evaluate differences between frail and nonfrail women and whether frailty is associated with self-reported disability. METHODS Adult women aged < 70 years with validated SLE and mild/moderate disease enrolled in this cross-sectional study between August 2018 and October 2019. Correlation and agreement between the FS and the FP were determined. Differences in sociodemographic and disease characteristics, patient-reported outcome measures (PROMs), and biomarkers between frail and nonfrail participants were evaluated, as well as the association of frailty with Valued Life Activities disability. RESULTS Of 67 participants, 27% and 18% were frail according to the FS and the FP, respectively. Correlation (r = 0.51; P < 0.0001) and agreement (κ = 0.46; P = 0.0004) between the FS and the FP were significant. Frail women had greater disease damage, high-sensitivity C-reactive protein, and interleukin 6, and worse PROMs according to both frailty definitions. Both frailty measures were associated with self-reported disability after adjustment for age, comorbidity, and disease activity and damage; this relationship was attenuated for the FP. CONCLUSION Frailty prevalence was high in this cohort of women with SLE using both frailty definitions, suggesting that frailty may be accelerated in women with SLE, particularly when based exclusively on self-report. Frailty remained associated with self-reported disability in adjusted analyses. The FS may be an informative point-of-care tool to identify frail women with SLE.
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Affiliation(s)
- Sarah B Lieber
- This work was supported by a Scientist Development Award from the Rheumatology Research Foundation and a Michael D. Lockshin Fellowship from the Barbara Volcker Center for Women and Rheumatic Diseases at Hospital for Special Surgery. Research reported in this publication was supported by the National Center For Advancing Translational Sciences of the National Institutes of Health (NIH) under Award Number UL1TR002384. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. S.B. Lieber, MD, MS, Assistant Professor, S. Paget, MD, Professor, J.R. Berman, MD, Associate Professor, M. Barbhaiya, MD, MPH, Assistant Professor, L.R. Sammaritano, MD, Professor, K. Kirou, MD, Associate Professor, J.A. Carrino, MD, MPH, Professor, L.A. Mandl, MD, MPH, Assistant Research Professor, Hospital for Special Surgery, and Weill Cornell Medicine, New York, New York; M. Nahid, MSc, M. Rajan, MBA, Research Associate, Weill Cornell Medicine, New York, New York; 3D. Sheira, BA, Stanford School of Medicine, Palo Alto, California, USA. JAC declares the following conflicts of interest: Covera Health, Image Analysis Group, Image Biopsy Lab, Pfizer, Simplify Medical, and the Arthritis & Rheumatology and Osteoarthritis Imaging journals. LAM declares the following conflicts of interest: Regeneron Pharmaceuticals. All other authors declare no conflicts of interest relevant to this article. Address correspondence to Dr. S.B. Lieber, Hospital for Special Surgery, 535 East 70th Street, New York, NY 10021, USA. . Accepted for publication August 17, 2021
| | - Musarrat Nahid
- This work was supported by a Scientist Development Award from the Rheumatology Research Foundation and a Michael D. Lockshin Fellowship from the Barbara Volcker Center for Women and Rheumatic Diseases at Hospital for Special Surgery. Research reported in this publication was supported by the National Center For Advancing Translational Sciences of the National Institutes of Health (NIH) under Award Number UL1TR002384. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. S.B. Lieber, MD, MS, Assistant Professor, S. Paget, MD, Professor, J.R. Berman, MD, Associate Professor, M. Barbhaiya, MD, MPH, Assistant Professor, L.R. Sammaritano, MD, Professor, K. Kirou, MD, Associate Professor, J.A. Carrino, MD, MPH, Professor, L.A. Mandl, MD, MPH, Assistant Research Professor, Hospital for Special Surgery, and Weill Cornell Medicine, New York, New York; M. Nahid, MSc, M. Rajan, MBA, Research Associate, Weill Cornell Medicine, New York, New York; 3D. Sheira, BA, Stanford School of Medicine, Palo Alto, California, USA. JAC declares the following conflicts of interest: Covera Health, Image Analysis Group, Image Biopsy Lab, Pfizer, Simplify Medical, and the Arthritis & Rheumatology and Osteoarthritis Imaging journals. LAM declares the following conflicts of interest: Regeneron Pharmaceuticals. All other authors declare no conflicts of interest relevant to this article. Address correspondence to Dr. S.B. Lieber, Hospital for Special Surgery, 535 East 70th Street, New York, NY 10021, USA. . Accepted for publication August 17, 2021
| | - Stephen Paget
- This work was supported by a Scientist Development Award from the Rheumatology Research Foundation and a Michael D. Lockshin Fellowship from the Barbara Volcker Center for Women and Rheumatic Diseases at Hospital for Special Surgery. Research reported in this publication was supported by the National Center For Advancing Translational Sciences of the National Institutes of Health (NIH) under Award Number UL1TR002384. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. S.B. Lieber, MD, MS, Assistant Professor, S. Paget, MD, Professor, J.R. Berman, MD, Associate Professor, M. Barbhaiya, MD, MPH, Assistant Professor, L.R. Sammaritano, MD, Professor, K. Kirou, MD, Associate Professor, J.A. Carrino, MD, MPH, Professor, L.A. Mandl, MD, MPH, Assistant Research Professor, Hospital for Special Surgery, and Weill Cornell Medicine, New York, New York; M. Nahid, MSc, M. Rajan, MBA, Research Associate, Weill Cornell Medicine, New York, New York; 3D. Sheira, BA, Stanford School of Medicine, Palo Alto, California, USA. JAC declares the following conflicts of interest: Covera Health, Image Analysis Group, Image Biopsy Lab, Pfizer, Simplify Medical, and the Arthritis & Rheumatology and Osteoarthritis Imaging journals. LAM declares the following conflicts of interest: Regeneron Pharmaceuticals. All other authors declare no conflicts of interest relevant to this article. Address correspondence to Dr. S.B. Lieber, Hospital for Special Surgery, 535 East 70th Street, New York, NY 10021, USA. . Accepted for publication August 17, 2021
| | - Jessica R Berman
- This work was supported by a Scientist Development Award from the Rheumatology Research Foundation and a Michael D. Lockshin Fellowship from the Barbara Volcker Center for Women and Rheumatic Diseases at Hospital for Special Surgery. Research reported in this publication was supported by the National Center For Advancing Translational Sciences of the National Institutes of Health (NIH) under Award Number UL1TR002384. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. S.B. Lieber, MD, MS, Assistant Professor, S. Paget, MD, Professor, J.R. Berman, MD, Associate Professor, M. Barbhaiya, MD, MPH, Assistant Professor, L.R. Sammaritano, MD, Professor, K. Kirou, MD, Associate Professor, J.A. Carrino, MD, MPH, Professor, L.A. Mandl, MD, MPH, Assistant Research Professor, Hospital for Special Surgery, and Weill Cornell Medicine, New York, New York; M. Nahid, MSc, M. Rajan, MBA, Research Associate, Weill Cornell Medicine, New York, New York; 3D. Sheira, BA, Stanford School of Medicine, Palo Alto, California, USA. JAC declares the following conflicts of interest: Covera Health, Image Analysis Group, Image Biopsy Lab, Pfizer, Simplify Medical, and the Arthritis & Rheumatology and Osteoarthritis Imaging journals. LAM declares the following conflicts of interest: Regeneron Pharmaceuticals. All other authors declare no conflicts of interest relevant to this article. Address correspondence to Dr. S.B. Lieber, Hospital for Special Surgery, 535 East 70th Street, New York, NY 10021, USA. . Accepted for publication August 17, 2021
| | - Medha Barbhaiya
- This work was supported by a Scientist Development Award from the Rheumatology Research Foundation and a Michael D. Lockshin Fellowship from the Barbara Volcker Center for Women and Rheumatic Diseases at Hospital for Special Surgery. Research reported in this publication was supported by the National Center For Advancing Translational Sciences of the National Institutes of Health (NIH) under Award Number UL1TR002384. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. S.B. Lieber, MD, MS, Assistant Professor, S. Paget, MD, Professor, J.R. Berman, MD, Associate Professor, M. Barbhaiya, MD, MPH, Assistant Professor, L.R. Sammaritano, MD, Professor, K. Kirou, MD, Associate Professor, J.A. Carrino, MD, MPH, Professor, L.A. Mandl, MD, MPH, Assistant Research Professor, Hospital for Special Surgery, and Weill Cornell Medicine, New York, New York; M. Nahid, MSc, M. Rajan, MBA, Research Associate, Weill Cornell Medicine, New York, New York; 3D. Sheira, BA, Stanford School of Medicine, Palo Alto, California, USA. JAC declares the following conflicts of interest: Covera Health, Image Analysis Group, Image Biopsy Lab, Pfizer, Simplify Medical, and the Arthritis & Rheumatology and Osteoarthritis Imaging journals. LAM declares the following conflicts of interest: Regeneron Pharmaceuticals. All other authors declare no conflicts of interest relevant to this article. Address correspondence to Dr. S.B. Lieber, Hospital for Special Surgery, 535 East 70th Street, New York, NY 10021, USA. . Accepted for publication August 17, 2021
| | - Lisa R Sammaritano
- This work was supported by a Scientist Development Award from the Rheumatology Research Foundation and a Michael D. Lockshin Fellowship from the Barbara Volcker Center for Women and Rheumatic Diseases at Hospital for Special Surgery. Research reported in this publication was supported by the National Center For Advancing Translational Sciences of the National Institutes of Health (NIH) under Award Number UL1TR002384. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. S.B. Lieber, MD, MS, Assistant Professor, S. Paget, MD, Professor, J.R. Berman, MD, Associate Professor, M. Barbhaiya, MD, MPH, Assistant Professor, L.R. Sammaritano, MD, Professor, K. Kirou, MD, Associate Professor, J.A. Carrino, MD, MPH, Professor, L.A. Mandl, MD, MPH, Assistant Research Professor, Hospital for Special Surgery, and Weill Cornell Medicine, New York, New York; M. Nahid, MSc, M. Rajan, MBA, Research Associate, Weill Cornell Medicine, New York, New York; 3D. Sheira, BA, Stanford School of Medicine, Palo Alto, California, USA. JAC declares the following conflicts of interest: Covera Health, Image Analysis Group, Image Biopsy Lab, Pfizer, Simplify Medical, and the Arthritis & Rheumatology and Osteoarthritis Imaging journals. LAM declares the following conflicts of interest: Regeneron Pharmaceuticals. All other authors declare no conflicts of interest relevant to this article. Address correspondence to Dr. S.B. Lieber, Hospital for Special Surgery, 535 East 70th Street, New York, NY 10021, USA. . Accepted for publication August 17, 2021
| | - Kyriakos Kirou
- This work was supported by a Scientist Development Award from the Rheumatology Research Foundation and a Michael D. Lockshin Fellowship from the Barbara Volcker Center for Women and Rheumatic Diseases at Hospital for Special Surgery. Research reported in this publication was supported by the National Center For Advancing Translational Sciences of the National Institutes of Health (NIH) under Award Number UL1TR002384. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. S.B. Lieber, MD, MS, Assistant Professor, S. Paget, MD, Professor, J.R. Berman, MD, Associate Professor, M. Barbhaiya, MD, MPH, Assistant Professor, L.R. Sammaritano, MD, Professor, K. Kirou, MD, Associate Professor, J.A. Carrino, MD, MPH, Professor, L.A. Mandl, MD, MPH, Assistant Research Professor, Hospital for Special Surgery, and Weill Cornell Medicine, New York, New York; M. Nahid, MSc, M. Rajan, MBA, Research Associate, Weill Cornell Medicine, New York, New York; 3D. Sheira, BA, Stanford School of Medicine, Palo Alto, California, USA. JAC declares the following conflicts of interest: Covera Health, Image Analysis Group, Image Biopsy Lab, Pfizer, Simplify Medical, and the Arthritis & Rheumatology and Osteoarthritis Imaging journals. LAM declares the following conflicts of interest: Regeneron Pharmaceuticals. All other authors declare no conflicts of interest relevant to this article. Address correspondence to Dr. S.B. Lieber, Hospital for Special Surgery, 535 East 70th Street, New York, NY 10021, USA. . Accepted for publication August 17, 2021
| | - John A Carrino
- This work was supported by a Scientist Development Award from the Rheumatology Research Foundation and a Michael D. Lockshin Fellowship from the Barbara Volcker Center for Women and Rheumatic Diseases at Hospital for Special Surgery. Research reported in this publication was supported by the National Center For Advancing Translational Sciences of the National Institutes of Health (NIH) under Award Number UL1TR002384. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. S.B. Lieber, MD, MS, Assistant Professor, S. Paget, MD, Professor, J.R. Berman, MD, Associate Professor, M. Barbhaiya, MD, MPH, Assistant Professor, L.R. Sammaritano, MD, Professor, K. Kirou, MD, Associate Professor, J.A. Carrino, MD, MPH, Professor, L.A. Mandl, MD, MPH, Assistant Research Professor, Hospital for Special Surgery, and Weill Cornell Medicine, New York, New York; M. Nahid, MSc, M. Rajan, MBA, Research Associate, Weill Cornell Medicine, New York, New York; 3D. Sheira, BA, Stanford School of Medicine, Palo Alto, California, USA. JAC declares the following conflicts of interest: Covera Health, Image Analysis Group, Image Biopsy Lab, Pfizer, Simplify Medical, and the Arthritis & Rheumatology and Osteoarthritis Imaging journals. LAM declares the following conflicts of interest: Regeneron Pharmaceuticals. All other authors declare no conflicts of interest relevant to this article. Address correspondence to Dr. S.B. Lieber, Hospital for Special Surgery, 535 East 70th Street, New York, NY 10021, USA. . Accepted for publication August 17, 2021
| | - Mangala Rajan
- This work was supported by a Scientist Development Award from the Rheumatology Research Foundation and a Michael D. Lockshin Fellowship from the Barbara Volcker Center for Women and Rheumatic Diseases at Hospital for Special Surgery. Research reported in this publication was supported by the National Center For Advancing Translational Sciences of the National Institutes of Health (NIH) under Award Number UL1TR002384. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. S.B. Lieber, MD, MS, Assistant Professor, S. Paget, MD, Professor, J.R. Berman, MD, Associate Professor, M. Barbhaiya, MD, MPH, Assistant Professor, L.R. Sammaritano, MD, Professor, K. Kirou, MD, Associate Professor, J.A. Carrino, MD, MPH, Professor, L.A. Mandl, MD, MPH, Assistant Research Professor, Hospital for Special Surgery, and Weill Cornell Medicine, New York, New York; M. Nahid, MSc, M. Rajan, MBA, Research Associate, Weill Cornell Medicine, New York, New York; 3D. Sheira, BA, Stanford School of Medicine, Palo Alto, California, USA. JAC declares the following conflicts of interest: Covera Health, Image Analysis Group, Image Biopsy Lab, Pfizer, Simplify Medical, and the Arthritis & Rheumatology and Osteoarthritis Imaging journals. LAM declares the following conflicts of interest: Regeneron Pharmaceuticals. All other authors declare no conflicts of interest relevant to this article. Address correspondence to Dr. S.B. Lieber, Hospital for Special Surgery, 535 East 70th Street, New York, NY 10021, USA. . Accepted for publication August 17, 2021
| | - Dina Sheira
- This work was supported by a Scientist Development Award from the Rheumatology Research Foundation and a Michael D. Lockshin Fellowship from the Barbara Volcker Center for Women and Rheumatic Diseases at Hospital for Special Surgery. Research reported in this publication was supported by the National Center For Advancing Translational Sciences of the National Institutes of Health (NIH) under Award Number UL1TR002384. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. S.B. Lieber, MD, MS, Assistant Professor, S. Paget, MD, Professor, J.R. Berman, MD, Associate Professor, M. Barbhaiya, MD, MPH, Assistant Professor, L.R. Sammaritano, MD, Professor, K. Kirou, MD, Associate Professor, J.A. Carrino, MD, MPH, Professor, L.A. Mandl, MD, MPH, Assistant Research Professor, Hospital for Special Surgery, and Weill Cornell Medicine, New York, New York; M. Nahid, MSc, M. Rajan, MBA, Research Associate, Weill Cornell Medicine, New York, New York; 3D. Sheira, BA, Stanford School of Medicine, Palo Alto, California, USA. JAC declares the following conflicts of interest: Covera Health, Image Analysis Group, Image Biopsy Lab, Pfizer, Simplify Medical, and the Arthritis & Rheumatology and Osteoarthritis Imaging journals. LAM declares the following conflicts of interest: Regeneron Pharmaceuticals. All other authors declare no conflicts of interest relevant to this article. Address correspondence to Dr. S.B. Lieber, Hospital for Special Surgery, 535 East 70th Street, New York, NY 10021, USA. . Accepted for publication August 17, 2021
| | - Lisa A Mandl
- This work was supported by a Scientist Development Award from the Rheumatology Research Foundation and a Michael D. Lockshin Fellowship from the Barbara Volcker Center for Women and Rheumatic Diseases at Hospital for Special Surgery. Research reported in this publication was supported by the National Center For Advancing Translational Sciences of the National Institutes of Health (NIH) under Award Number UL1TR002384. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. S.B. Lieber, MD, MS, Assistant Professor, S. Paget, MD, Professor, J.R. Berman, MD, Associate Professor, M. Barbhaiya, MD, MPH, Assistant Professor, L.R. Sammaritano, MD, Professor, K. Kirou, MD, Associate Professor, J.A. Carrino, MD, MPH, Professor, L.A. Mandl, MD, MPH, Assistant Research Professor, Hospital for Special Surgery, and Weill Cornell Medicine, New York, New York; M. Nahid, MSc, M. Rajan, MBA, Research Associate, Weill Cornell Medicine, New York, New York; 3D. Sheira, BA, Stanford School of Medicine, Palo Alto, California, USA. JAC declares the following conflicts of interest: Covera Health, Image Analysis Group, Image Biopsy Lab, Pfizer, Simplify Medical, and the Arthritis & Rheumatology and Osteoarthritis Imaging journals. LAM declares the following conflicts of interest: Regeneron Pharmaceuticals. All other authors declare no conflicts of interest relevant to this article. Address correspondence to Dr. S.B. Lieber, Hospital for Special Surgery, 535 East 70th Street, New York, NY 10021, USA. . Accepted for publication August 17, 2021
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Kiplagat K, Antoine F, Ramos R, Nahid M, Forte V, Taiwo E, Godfrey K, Butryn M, Phillips E. An Acceptance Based Lifestyle Intervention in Black Breast Cancer Survivors with Obesity. J Immigr Minor Health 2021; 24:645-655. [PMID: 34355298 DOI: 10.1007/s10903-021-01261-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/30/2021] [Indexed: 12/01/2022]
Abstract
To assess the feasibility and early efficacy of a combined lifestyle and acceptance-based therapy (ABT) intervention on weight loss at 16 weeks among Black breast cancer (BC) survivors with obesity. Thirty black breast cancer survivors with a BMI ≥ 30 kg/m2 at least 6 months post-treatment were enrolled. Outcomes included feasibility process measures, physical well-being assessed using the subscale of QOL-Breast Cancer (QOL-BC), physical activity assessed by Global Physical Activity Questionnaire (GPAQ), and weight. Fisher's Exact/Chi-Squared tests and Wilcoxon rank-sum tests were used to explore differences between responders and non-responders, as well as within-group changes during the intervention. Within the first 4 weeks, responders (participants who lost any weight) lost a median of 2.6 lbs. compared to non-responders (no weight loss) who gained a median of 2.6 lbs. At 16 weeks, participants reported greater physical well-being (p < 0.0001), increased time in recreational activities (p = 0.03), and a median weight loss of 5.6 pounds in responders vs. 0.7 pounds in non-responders (p ≤ 0.001). Non-responders were more likely to have developed a new health condition compared to responders (44% vs. 0%; p = 0.014). In this study, weight loss at 4 weeks and new-onset health conditions were significant factors associated with non-response to the combined intervention. Black BC with obesity are at high risk for recurrent cancer and secondary health conditions. ABT may be a suitable adjunct therapeutic option to lifestyle interventions implemented soon after a cancer diagnosis to improve physical well-being, increase physical activity, and promote weight loss.
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Affiliation(s)
- Kimberly Kiplagat
- Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, USA
| | - Francesse Antoine
- Division of General Internal Medicine, Department of Medicine Weill Cornell, New York, USA
| | - Rosio Ramos
- Division of General Internal Medicine, Department of Medicine Weill Cornell, New York, USA
| | - Musarrat Nahid
- Division of General Internal Medicine, Department of Medicine Weill Cornell, New York, USA
| | - Victoria Forte
- Division of Hematology-Oncology, King's County Hospital Center, New York, USA
| | - Evelyn Taiwo
- Division of Hematology-Oncology, Department of Medicine Weill Cornell, New York, USA
| | - Kathryn Godfrey
- Department of Psychology, Drexel University, Philadelphia, USA
| | - Meghan Butryn
- Department of Psychology, Drexel University, Philadelphia, USA
| | - Erica Phillips
- Division of General Internal Medicine, Department of Medicine Weill Cornell, New York, USA. .,Sandra and Edward Meyer Cancer Center, Weill Cornell Medicine, New York, USA.
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Goyal P, Ringel JB, Rajan M, Choi JJ, Pinheiro LC, Li HA, Wehmeyer GT, Alshak MN, Jabri A, Schenck EJ, Chen R, Satlin MJ, Campion TR, Nahid M, Plataki M, Hoffman KL, Reshetnyak E, Hupert N, Horn EM, Martinez FJ, Gulick RM, Safford MM. Obesity and COVID-19 in New York City: A Retrospective Cohort Study. Ann Intern Med 2020; 173:855-858. [PMID: 32628537 PMCID: PMC7384267 DOI: 10.7326/m20-2730] [Citation(s) in RCA: 63] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Affiliation(s)
- Parag Goyal
- Weill Cornell Medicine, New York, New York (P.G., J.B.R., M.R., J.J.C., L.C.P., A.J., E.J.S., M.J.S., T.R.C., M.N., M.P., K.L.H., E.R., N.H., E.M.H., F.J.M., R.M.G., M.M.S.)
| | - Joanna Bryan Ringel
- Weill Cornell Medicine, New York, New York (P.G., J.B.R., M.R., J.J.C., L.C.P., A.J., E.J.S., M.J.S., T.R.C., M.N., M.P., K.L.H., E.R., N.H., E.M.H., F.J.M., R.M.G., M.M.S.)
| | - Mangala Rajan
- Weill Cornell Medicine, New York, New York (P.G., J.B.R., M.R., J.J.C., L.C.P., A.J., E.J.S., M.J.S., T.R.C., M.N., M.P., K.L.H., E.R., N.H., E.M.H., F.J.M., R.M.G., M.M.S.)
| | - Justin J Choi
- Weill Cornell Medicine, New York, New York (P.G., J.B.R., M.R., J.J.C., L.C.P., A.J., E.J.S., M.J.S., T.R.C., M.N., M.P., K.L.H., E.R., N.H., E.M.H., F.J.M., R.M.G., M.M.S.)
| | - Laura C Pinheiro
- Weill Cornell Medicine, New York, New York (P.G., J.B.R., M.R., J.J.C., L.C.P., A.J., E.J.S., M.J.S., T.R.C., M.N., M.P., K.L.H., E.R., N.H., E.M.H., F.J.M., R.M.G., M.M.S.)
| | - Han A Li
- Weill Cornell Medical College, New York, New York (H.A.L., G.T.W., M.N.A.)
| | - Graham T Wehmeyer
- Weill Cornell Medical College, New York, New York (H.A.L., G.T.W., M.N.A.)
| | - Mark N Alshak
- Weill Cornell Medical College, New York, New York (H.A.L., G.T.W., M.N.A.)
| | - Assem Jabri
- Weill Cornell Medicine, New York, New York (P.G., J.B.R., M.R., J.J.C., L.C.P., A.J., E.J.S., M.J.S., T.R.C., M.N., M.P., K.L.H., E.R., N.H., E.M.H., F.J.M., R.M.G., M.M.S.)
| | - Edward J Schenck
- Weill Cornell Medicine, New York, New York (P.G., J.B.R., M.R., J.J.C., L.C.P., A.J., E.J.S., M.J.S., T.R.C., M.N., M.P., K.L.H., E.R., N.H., E.M.H., F.J.M., R.M.G., M.M.S.)
| | - Ruijun Chen
- Weill Cornell Medicine and Columbia University, New York, New York (R.C.)
| | - Michael J Satlin
- Weill Cornell Medicine, New York, New York (P.G., J.B.R., M.R., J.J.C., L.C.P., A.J., E.J.S., M.J.S., T.R.C., M.N., M.P., K.L.H., E.R., N.H., E.M.H., F.J.M., R.M.G., M.M.S.)
| | - Thomas R Campion
- Weill Cornell Medicine, New York, New York (P.G., J.B.R., M.R., J.J.C., L.C.P., A.J., E.J.S., M.J.S., T.R.C., M.N., M.P., K.L.H., E.R., N.H., E.M.H., F.J.M., R.M.G., M.M.S.)
| | - Musarrat Nahid
- Weill Cornell Medicine, New York, New York (P.G., J.B.R., M.R., J.J.C., L.C.P., A.J., E.J.S., M.J.S., T.R.C., M.N., M.P., K.L.H., E.R., N.H., E.M.H., F.J.M., R.M.G., M.M.S.)
| | - Maria Plataki
- Weill Cornell Medicine, New York, New York (P.G., J.B.R., M.R., J.J.C., L.C.P., A.J., E.J.S., M.J.S., T.R.C., M.N., M.P., K.L.H., E.R., N.H., E.M.H., F.J.M., R.M.G., M.M.S.)
| | - Katherine L Hoffman
- Weill Cornell Medicine, New York, New York (P.G., J.B.R., M.R., J.J.C., L.C.P., A.J., E.J.S., M.J.S., T.R.C., M.N., M.P., K.L.H., E.R., N.H., E.M.H., F.J.M., R.M.G., M.M.S.)
| | - Evgeniya Reshetnyak
- Weill Cornell Medicine, New York, New York (P.G., J.B.R., M.R., J.J.C., L.C.P., A.J., E.J.S., M.J.S., T.R.C., M.N., M.P., K.L.H., E.R., N.H., E.M.H., F.J.M., R.M.G., M.M.S.)
| | - Nathaniel Hupert
- Weill Cornell Medicine, New York, New York (P.G., J.B.R., M.R., J.J.C., L.C.P., A.J., E.J.S., M.J.S., T.R.C., M.N., M.P., K.L.H., E.R., N.H., E.M.H., F.J.M., R.M.G., M.M.S.)
| | - Evelyn M Horn
- Weill Cornell Medicine, New York, New York (P.G., J.B.R., M.R., J.J.C., L.C.P., A.J., E.J.S., M.J.S., T.R.C., M.N., M.P., K.L.H., E.R., N.H., E.M.H., F.J.M., R.M.G., M.M.S.)
| | - Fernando J Martinez
- Weill Cornell Medicine, New York, New York (P.G., J.B.R., M.R., J.J.C., L.C.P., A.J., E.J.S., M.J.S., T.R.C., M.N., M.P., K.L.H., E.R., N.H., E.M.H., F.J.M., R.M.G., M.M.S.)
| | - Roy M Gulick
- Weill Cornell Medicine, New York, New York (P.G., J.B.R., M.R., J.J.C., L.C.P., A.J., E.J.S., M.J.S., T.R.C., M.N., M.P., K.L.H., E.R., N.H., E.M.H., F.J.M., R.M.G., M.M.S.)
| | - Monika M Safford
- Weill Cornell Medicine, New York, New York (P.G., J.B.R., M.R., J.J.C., L.C.P., A.J., E.J.S., M.J.S., T.R.C., M.N., M.P., K.L.H., E.R., N.H., E.M.H., F.J.M., R.M.G., M.M.S.)
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Choi JJ, Wehmeyer GT, Li HA, Alshak MN, Nahid M, Rajan M, Liu B, Schatoff EM, Elahjji R, Abdelghany Y, D'Angelo D, Crossman D, Evans AT, Steel P, Pinheiro LC, Goyal P, Safford MM, Mints G, DeSancho MT. D-dimer cut-off points and risk of venous thromboembolism in adult hospitalized patients with COVID-19. Thromb Res 2020; 196:318-321. [PMID: 32977130 PMCID: PMC7495176 DOI: 10.1016/j.thromres.2020.09.022] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2020] [Revised: 09/14/2020] [Accepted: 09/15/2020] [Indexed: 12/20/2022]
Affiliation(s)
- Justin J Choi
- Department of Medicine, Weill Cornell Medicine, New York, NY, United States of America; New York Presbyterian Hospital, New York, NY, United States of America.
| | - Graham T Wehmeyer
- MD Program, Weill Cornell Medicine, New York, NY, United States of America
| | - Han A Li
- MD Program, Weill Cornell Medicine, New York, NY, United States of America
| | - Mark N Alshak
- MD Program, Weill Cornell Medicine, New York, NY, United States of America
| | - Musarrat Nahid
- Department of Medicine, Weill Cornell Medicine, New York, NY, United States of America
| | - Mangala Rajan
- Department of Medicine, Weill Cornell Medicine, New York, NY, United States of America
| | - Bethina Liu
- MD Program, Weill Cornell Medicine, New York, NY, United States of America
| | - Emma M Schatoff
- MD Program, Weill Cornell Medicine, New York, NY, United States of America; Weill Cornell/Rockefeller/Sloan Kettering Tri-Institutional MD-PhD Program, New York, NY, United States of America
| | - Rahmi Elahjji
- MD Program, Weill Cornell Medicine, New York, NY, United States of America
| | - Youmna Abdelghany
- Department of Medicine, Weill Cornell Medicine, New York, NY, United States of America
| | - Debra D'Angelo
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, United States of America
| | - Daniel Crossman
- Department of Medicine, Weill Cornell Medicine, New York, NY, United States of America; New York Presbyterian Hospital, New York, NY, United States of America
| | - Arthur T Evans
- Department of Medicine, Weill Cornell Medicine, New York, NY, United States of America; New York Presbyterian Hospital, New York, NY, United States of America
| | - Peter Steel
- New York Presbyterian Hospital, New York, NY, United States of America; Department of Emergency Medicine, Weill Cornell Medicine, New York, NY, United States of America
| | - Laura C Pinheiro
- Department of Medicine, Weill Cornell Medicine, New York, NY, United States of America
| | - Parag Goyal
- Department of Medicine, Weill Cornell Medicine, New York, NY, United States of America; New York Presbyterian Hospital, New York, NY, United States of America
| | - Monika M Safford
- Department of Medicine, Weill Cornell Medicine, New York, NY, United States of America; New York Presbyterian Hospital, New York, NY, United States of America
| | - Gregory Mints
- Department of Medicine, Weill Cornell Medicine, New York, NY, United States of America; New York Presbyterian Hospital, New York, NY, United States of America
| | - Maria T DeSancho
- Department of Medicine, Weill Cornell Medicine, New York, NY, United States of America; New York Presbyterian Hospital, New York, NY, United States of America
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16
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Goyal P, Choi JJ, Pinheiro LC, Schenck EJ, Chen R, Jabri A, Satlin MJ, Campion TR, Nahid M, Ringel JB, Hoffman KL, Alshak MN, Li HA, Wehmeyer GT, Rajan M, Reshetnyak E, Hupert N, Horn EM, Martinez FJ, Gulick RM, Safford MM. Clinical Characteristics of Covid-19 in New York City. N Engl J Med 2020; 382:2372-2374. [PMID: 32302078 PMCID: PMC7182018 DOI: 10.1056/nejmc2010419] [Citation(s) in RCA: 1553] [Impact Index Per Article: 388.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | - Han A Li
- Weill Cornell Medicine, New York, NY
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17
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Penney LS, Nahid M, Leykum LK, Lanham HJ, Noël PH, Finley EP, Pugh J. Interventions to reduce readmissions: can complex adaptive system theory explain the heterogeneity in effectiveness? A systematic review. BMC Health Serv Res 2018; 18:894. [PMID: 30477576 PMCID: PMC6260570 DOI: 10.1186/s12913-018-3712-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2018] [Accepted: 11/14/2018] [Indexed: 11/13/2022] Open
Abstract
Background Successfully transitioning patients from hospital to home is a complex, often uncertain task. Despite significant efforts to improve the effectiveness of care transitions, they remain a challenge across health care systems. The lens of complex adaptive systems (CAS) provides a theoretical approach for studying care transition interventions, with potential implications for intervention effectiveness. The aim of this study is to examine whether care transition interventions that are congruent with the complexity of the processes and conditions they are trying to improve will have better outcomes. Methods We identified a convenience sample of high-quality care transition intervention studies included in a care transition synthesis report by Kansagara and colleagues. After excluding studies that did not meet our criteria, we scored each study based on (1) the presence or absence of 5 CAS characteristics (learning, interconnections, self-organization, co-evolution, and emergence), as well as system-level interdependencies (resources and processes) in the intervention design, and (2) scored study readmission-related outcomes for effectiveness. Results Forty-four of the 154 reviewed articles met our inclusion criteria; these studies reported on 46 interventions. Nearly all the interventions involved a change in interconnections between people compared with care as usual (96% of interventions), and added resources (98%) and processes (98%). Most contained elements impacting learning (67%) and self-organization (69%). No intervention reflected either co-evolution or emergence. Almost 40% of interventions were rated as effective in terms of impact on hospital readmissions. Chi square testing for an association between outcomes and CAS characteristics was not significant for learning or self-organization, however interventions rated as effective were significantly more likely to have both of these characteristics (78%) than interventions rated as having no effect (32%, p = 0.005). Conclusions Interventions with components that influenced learning and self-organization were associated with a significant improvement in hospital readmissions-related outcomes. Learning alone might be necessary but not be sufficient for improving transitions. However, building self-organization into the intervention might help people effectively respond to problems and adapt in uncertain situations to reduce the likelihood of readmission. Electronic supplementary material The online version of this article (10.1186/s12913-018-3712-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Lauren S Penney
- South Texas Veterans Health Care System, 7400 Merton Minter Blvd, San Antonio, TX, 78229, USA. .,Department of Medicine, The University of Texas Health Science Center San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, 78229, USA.
| | - Musarrat Nahid
- South Texas Veterans Health Care System, 7400 Merton Minter Blvd, San Antonio, TX, 78229, USA.,Department of Medicine, The University of Texas Health Science Center San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, 78229, USA
| | - Luci K Leykum
- South Texas Veterans Health Care System, 7400 Merton Minter Blvd, San Antonio, TX, 78229, USA.,Department of Medicine, The University of Texas Health Science Center San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, 78229, USA.,Department of Information, Risk and Operations Management, McCombs School of Business, The University of Texas at Austin, 2110 Speedway Stop B6500, Austin, TX, 78712-1277, USA
| | - Holly Jordan Lanham
- South Texas Veterans Health Care System, 7400 Merton Minter Blvd, San Antonio, TX, 78229, USA.,Department of Medicine, The University of Texas Health Science Center San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, 78229, USA.,Department of Information, Risk and Operations Management, McCombs School of Business, The University of Texas at Austin, 2110 Speedway Stop B6500, Austin, TX, 78712-1277, USA.,Department of Family & Community Medicine, The University of Texas Health Science Center San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, 78229, USA
| | - Polly H Noël
- South Texas Veterans Health Care System, 7400 Merton Minter Blvd, San Antonio, TX, 78229, USA.,Department of Family & Community Medicine, The University of Texas Health Science Center San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, 78229, USA
| | - Erin P Finley
- South Texas Veterans Health Care System, 7400 Merton Minter Blvd, San Antonio, TX, 78229, USA.,Department of Medicine, The University of Texas Health Science Center San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, 78229, USA.,Department of Psychiatry, The University of Texas Health Science Center San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, 78229, USA
| | - Jacqueline Pugh
- South Texas Veterans Health Care System, 7400 Merton Minter Blvd, San Antonio, TX, 78229, USA.,Department of Medicine, The University of Texas Health Science Center San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, 78229, USA
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Nahid M, Benso L, Shin J, Mehmet H, Hicks A, Ramadas R. Macrophage tolerance to MyD88-dependent TLR agonists is mediated by LPS-/R848-induced miR-146a (IRM12P.649). The Journal of Immunology 2015. [DOI: 10.4049/jimmunol.194.supp.133.8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Abstract
Toll like receptors (TLRs) TLRs facilitate the recognition of pathogens by immune cells and the initiation of the immune response, leading to the production of proinflammatory mediators. Production of proinflammatory mediators by innate immune cells such as macrophages is tightly regulated to facilitate pathogen clearance while limiting adverse impact on host tissue. Exposure to TLR ligands induces a state of temporary refractoriness to a subsequent exposure of a TLR ligand, a phenomenon referred to as ‘tolerance’. This study sought to evaluate the mechanistic regulation of TLR4 and TLR7/8 ligand induced tolerance to other TLRs by miR-146a. Using THP-1 macrophages as well as human M1 and M2 macrophages, we demonstrate that priming with a TLR4 agonist (LPS) or a TLR7/8 agonist (R848) induce tolerance to a panel of TLR ligands in macrophages, leading to the impaired production of a variety of cytokines and chemokines. We also demonstrate that overexpression of miR-146a is sufficient to mimic LPS- or R848-induced hyporesponsiveness. Conversely, the knockdown of miR-146a leads to LPS- or R848-induced TLR hyperresponsiveness. Furthermore, we demonstrate that while miR-146a dampens cytokine production following a primary stimulus with MyD88-dependent, but not MyD88- independent TLR pathways. Collectively, these data provide comprehensive evidence of the central role of miR-146a in TLR signaling tolerance to plasma membrane as well as endosomal TLR ligands in human macrophages.
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Affiliation(s)
- M. Nahid
- 2Immunolgy, Oncology and IMR Discovery Research, Merck Research Laboratories, Boston, MA
| | - Lia Benso
- 3Immunolgy, Oncology and IMR Discovery Research, Merck Research Laboratories, Boston, MA
| | - John Shin
- 2Immunolgy, Oncology and IMR Discovery Research, Merck Research Laboratories, Boston, MA
| | | | - Alexandra Hicks
- 2Immunolgy, Oncology and IMR Discovery Research, Merck Research Laboratories, Boston, MA
| | - Ravisankar Ramadas
- 2Immunolgy, Oncology and IMR Discovery Research, Merck Research Laboratories, Boston, MA
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Davies HW, Louie A, Nahid M, Shoveller J. Potential barriers to engineered noise control in food and beverage manufacturing in British Columbia, Canada: a qualitative study. Int J Audiol 2012; 51 Suppl 1:S43-50. [PMID: 22264062 DOI: 10.3109/14992027.2011.633936] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
OBJECTIVE Noise is probably the most ubiquitous of occupational hazards. While many jurisdictions require hearing conservation programs (HCP), the most effective intervention-engineered noise controls (ENC)-is rarely implemented. We used a qualitative study design to investigate barriers to the implementation of ENC. DESIGN & STUDY SAMPLE: Fifty-five individuals at eight food and beverage manufacturers participated. In-depth interviews were conducted and analysed using grounded theory techniques. HCP audits provided contextual information. RESULTS None of the companies had fully implemented HCP as required by regulation. Many factors emerged as possible barriers to the implementation of engineered noise control, including: poor knowledge of relevant regulations, noise reduction options and the health impacts of noise; weak technical skills and experience; low ranking of noise as a hazard by stakeholders; issues around job insecurity, weak language skills; lack of 'quiet' machine options and information from equipment manufacturers; poor employer-regulator relationships; barriers to employee-employer reporting; informal valuation of ENC costs; and feasibility issues. CONCLUSIONS Potential barriers to the implementation of ENC were identified, and classified at three levels at which they operated. Many barriers could be addressed by a more rigorous application of existing HCP regulation and improvements in education, technical support, and regulatory enforcement.
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Affiliation(s)
- Hugh W Davies
- School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada.
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Nahid M, Hodgson M. Prediction of optimal conditions for verbal-communication quality in eating establishments. J Acoust Soc Am 2011; 129:2005-2014. [PMID: 21476656 DOI: 10.1121/1.3552867] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/30/2023]
Abstract
This paper discusses the prediction of verbal-communication quality in eating establishments (EEs). EEs contain talkers and listeners who require high speech intelligibility at their tables, and high speech privacy between tables. Using catt-Acoustic, verbal-communication quality--quantified by speech transmission index (STI)--in models of three existing EEs was predicted. Talker voice-output levels were predicted using an existing empirical model accounting for the Lombard effect. With these, catt-Acoustic predicted impulse responses, speech levels and noise levels at primary and secondary listener positions, and the corresponding STIs. The untreated EEs were first modeled for various talker and listener positions, and occupancies. Then various treated configurations, involving reduced volume, increased absorption and barriers were studied to determine the effectiveness of the treatments. The results suggest that placing barriers around tables can be an effective way to achieve good verbal-communication quality. Increasing the absorption of the room surfaces or decreasing the ceiling height to control reverberation may not be effective. However, increasing the surface absorption and putting barriers around tables may achieve optimal speech conditions in EEs. Subdividing large EEs into smaller ones can also be effective.
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Affiliation(s)
- Musarrat Nahid
- School of Environmental Health, University of British Columbia, 3rd Floor, 2206 East Mall, Vancouver, BC V6T1Z3, Canada
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