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Zhu C, Dreyer RP, Li F, Spatz ES, Caraballo C, Mahajan S, Raparelli V, Leifheit EC, Lu Y, Krumholz HM, Spertus JA, D’Onofrio G, Pilote L, Lichtman JH. Association of marital/partner status with hospital readmission among young adults with acute myocardial infarction. PLoS One 2024; 19:e0287949. [PMID: 38277368 PMCID: PMC10817183 DOI: 10.1371/journal.pone.0287949] [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] [Subscribe] [Scholar Register] [Received: 06/18/2023] [Accepted: 12/22/2023] [Indexed: 01/28/2024] Open
Abstract
INTRODUCTION Despite evidence supporting the benefits of marriage on cardiovascular health, the impact of marital/partner status on the long-term readmission of young acute myocardial infarction (AMI) survivors is less clear. We examined the association between marital/partner status and 1-year all-cause readmission and explored sex differences among young AMI survivors. METHODS Data were from the VIRGO study (Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients), which enrolled young adults aged 18-55 years with AMI (2008-2012). The primary end point was all-cause readmission within 1 year of hospital discharge, obtained from medical records and patient interviews and adjudicated by a physician panel. We performed Cox proportional hazards models with sequential adjustment for demographic, socioeconomic, clinical, and psychosocial factors. Sex-marital/partner status interaction was also tested. RESULTS Of the 2,979 adults with AMI (2002 women [67.2%]; mean age 48 [interquartile range, 44-52] years), unpartnered individuals were more likely to experience all-cause readmissions compared with married/partnered individuals within the first year after hospital discharge (34.6% versus 27.2%, hazard ratio [HR] = 1.31; 95% confidence interval [CI], 1.15-1.49). The association attenuated but remained significant after adjustment for demographic and socioeconomic factors (adjusted HR, 1.16; 95% CI, 1.01-1.34), and it was not significant after further adjusting for clinical factors and psychosocial factors (adjusted HR, 1.10; 95%CI, 0.94-1.28). A sex-marital/partner status interaction was not significant (p = 0.69). Sensitivity analysis using data with multiple imputation and restricting outcomes to cardiac readmission yielded comparable results. CONCLUSIONS In a cohort of young adults aged 18-55 years, unpartnered status was associated with 1.3-fold increased risk of all-cause readmission within 1 year of AMI discharge. Further adjustment for demographic, socioeconomic, clinical, and psychosocial factors attenuated the association, suggesting that these factors may explain disparities in readmission between married/partnered versus unpartnered young adults. Whereas young women experienced more readmission compared to similar-aged men, the association between marital/partner status and 1-year readmission did not vary by sex.
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Affiliation(s)
- Cenjing Zhu
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, United States of America
| | - Rachel P. Dreyer
- Department of Emergency Medicine, Yale School of Medicine, New Haven, CT, United States of America
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, United States of America
| | - Fan Li
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, United States of America
- Center for Methods in Implementation and Preventive Science, Yale University, New Haven, CT, United States of America
| | - Erica S. Spatz
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, United States of America
- Center for Outcomes Research and Evaluation, Yale School of Medicine, New Haven, CT, United States of America
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, United States of America
| | - César Caraballo
- Center for Outcomes Research and Evaluation, Yale School of Medicine, New Haven, CT, United States of America
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, United States of America
| | - Shiwani Mahajan
- Center for Outcomes Research and Evaluation, Yale School of Medicine, New Haven, CT, United States of America
| | - Valeria Raparelli
- Department of Translational Medicine, University of Ferrara, Ferrara, Italy
- University Center for Studies on Gender Medicine, University of Ferrara, Ferrara, Italy
| | - Erica C. Leifheit
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, United States of America
| | - Yuan Lu
- Center for Outcomes Research and Evaluation, Yale School of Medicine, New Haven, CT, United States of America
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, United States of America
| | - Harlan M. Krumholz
- Center for Outcomes Research and Evaluation, Yale School of Medicine, New Haven, CT, United States of America
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, United States of America
- Department of Health Policy and Management, Yale School of Public Health, New Haven, CT, United States of America
| | - John A. Spertus
- Healthcare Institute for Innovations in Quality, University of Missouri–Kansas City, Kansas City, Missouri, United States of America
- Saint Luke’s Cardiovascular Outcomes Research, Saint Luke’s Mid America Heart Institute, Kansas City, Missouri, United States of America
| | - Gail D’Onofrio
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, United States of America
- Department of Emergency Medicine, Yale School of Medicine, New Haven, CT, United States of America
| | - Louise Pilote
- Center for Outcomes Research and Evaluation, Research Institute, McGill University Health Centre, Montreal, Quebec, Canada
- Department of Medicine and Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
| | - Judith H. Lichtman
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, United States of America
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Peña FL, Emanuelson TW, Todman SH, Jones RC, Mahajan S. Fetal circular shunt in Ebstein's anomaly and non-steroidal anti-inflammatory treatment. J Neonatal Perinatal Med 2024; 17:63-69. [PMID: 38217614 DOI: 10.3233/npm-230040] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2024]
Abstract
A circular shunt is a poor prognostic factor associated with Ebstein's anomaly. Targeting the constriction of the ductus arteriosus (DA) in order to limit or resolve the circular shunt, has been shown to improve fetal outcomes. Prenatal non-steroidal anti-inflammatory drugs (NSAIDs) have been known to constrict the DA. Recently, prenatal NSAIDs have been used for that purpose in the treatment of circular shunt. Limited research shows that it may be an effective treatment leading to improved fetal outcomes. In this article, we did an extensive review of literature to describe this therapy's effectiveness and outcomes. 82% of fetuses were able to achieve ductal constriction with prenatal NSAID therapy. For fetuses who achieved ductal constriction, fetal demise was less likely (6%) when compared to those who were unable to achieve the same (50%). Of all the fetuses with hydrops, 50% had resoluation of hydrops with prenatal NSAID treatment.
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Affiliation(s)
- F L Peña
- Louisiana State University Health Shreveport, Shreveport, LA, USA
| | - T W Emanuelson
- Louisiana State University Health Shreveport, Shreveport, LA, USA
| | - S H Todman
- Louisiana State University Health Shreveport, Shreveport, LA, USA
| | - R C Jones
- Louisiana State University Health Shreveport, Shreveport, LA, USA
| | - S Mahajan
- Louisiana State University Health Shreveport, Shreveport, LA, USA
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Rao AR, Noronha V, Ramaswamy A, Kumar A, Pillai A, Gattani S, Sehgal A, Kumar S, Castelino R, Dhekale R, Krishnamurthy J, Mahajan S, Daptardar A, Sonkusare L, Deodhar J, Ansari N, Vagal M, Mahajan P, Timmanpyati S, Nookala M, Chitre A, Kapoor A, Gota V, Banavali S, Badwe RA, Prabhash K. Correlation of the Geriatric Assessment with Overall Survival in Older Patients with Cancer. Clin Oncol (R Coll Radiol) 2024; 36:e61-e71. [PMID: 37953073 DOI: 10.1016/j.clon.2023.11.003] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 10/09/2023] [Accepted: 11/02/2023] [Indexed: 11/14/2023]
Abstract
AIMS Global guidelines recommend that all older patients with cancer receiving chemotherapy should undergo a geriatric assessment. However, utilisation of the geriatric assessment is often constrained by its time-intensive nature, which limits its adoption in settings with limited resources and high demand. There is a lack of evidence correlating the results of the geriatric assessment with survival from the Indian subcontinent. Therefore, the aims of the present study were to assess the impact of the geriatric assessment on survival in older Indian patients with cancer and to identify the factors associated with survival in these older patients. MATERIALS AND METHODS This was an observational study, conducted in the geriatric oncology clinic of the Tata Memorial Hospital (Mumbai, India). Patients aged 60 years and older with cancer who underwent a geriatric assessment were enrolled. We assessed the non-oncological geriatric domains of function and falls, nutrition, comorbidities, cognition, psychology, social support and medications. Patients exhibiting impairment in two or more domains were classified as frail. RESULTS Between June 2018 and January 2022, we enrolled 897 patients. The median age was 69 (interquartile range 65-73) years. The common malignancies were lung (40.5%), oesophagus (31.9%) and genitourinary (12.1%); 54.6% had metastatic disease. Based on the results of the geriatric assessment, 767 (85.4%) patients were frail. The estimated median overall survival in fit patients was 24.3 (95% confidence interval 18.2-not reached) months, compared with 11.2 (10.1-12.8) months in frail patients (hazard ratio 0.54; 95% confidence interval 0.41-0.72, P < 0.001). This difference in overall survival remained significant after adjusting for age, sex, primary tumour and metastatic status (hazard ratio 0.56; 95% confidence interval 0.41-0.74, P < 0.001). In the patients with a performance status of 0 or 1 (n = 454), 365 (80.4%) were frail; the median overall survival in the performance status 0-1 group was 33.0 months (95% confidence interval 24.31-not reached) in the fit group versus 14.4 months (95% confidence interval 12.25-18.73) in the frail patients (hazard ratio 0.50; 95% confidence interval 0.34-0.74, P = 0.001). In the multivariate analysis, the geriatric assessment domains that were predictive of survival were function (hazard ratio 0.68; 95% confidence interval 0.52-0.88; P = 0.003), nutrition (hazard ratio 0.64; 95% confidence interval 0.48-0.85, P = 0.002) and cognition (hazard ratio 0.67; 95% confidence interval 0.49-0.91, P = 0.011). DISCUSSION The geriatric assessment is a powerful prognostic tool for survival among older Indian patients with cancer. The geriatric assessment is prognostic even in the cohort of patients thought to be the fittest, i.e. performance status 0 and 1. Our study re-emphasises the critical importance of the geriatric assessment in all older patients planned for cancer-directed therapy.
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Affiliation(s)
- A R Rao
- Department of Medical Oncology, Tata Memorial Centre, Mumbai, India
| | - V Noronha
- Department of Medical Oncology, Tata Memorial Centre, Mumbai, India
| | - A Ramaswamy
- Department of Medical Oncology, Tata Memorial Centre, Mumbai, India
| | - A Kumar
- Department of Medical Oncology, Tata Memorial Centre, Mumbai, India
| | - A Pillai
- Department of Medical Oncology, Tata Memorial Centre, Mumbai, India
| | - S Gattani
- Department of Medical Oncology, Tata Memorial Centre, Mumbai, India
| | - A Sehgal
- Department of Clinical Pharmacology, Advanced Centre for Treatment Research and Education in Cancer, Mumbai, India
| | - S Kumar
- Department of Clinical Pharmacology, Advanced Centre for Treatment Research and Education in Cancer, Mumbai, India
| | - R Castelino
- Department of Clinical Pharmacology, Advanced Centre for Treatment Research and Education in Cancer, Mumbai, India
| | - R Dhekale
- Department of Medical Oncology, Tata Memorial Centre, Mumbai, India
| | - J Krishnamurthy
- Department of Medical Oncology, Tata Memorial Centre, Mumbai, India
| | - S Mahajan
- Department of Physiotherapy, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, India
| | - A Daptardar
- Department of Physiotherapy, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, India
| | - L Sonkusare
- Department of Psycho-oncology, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, India
| | - J Deodhar
- Department of Psycho-oncology, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, India
| | - N Ansari
- Department of Occupational Therapy, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, India
| | - M Vagal
- Department of Occupational Therapy, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, India
| | - P Mahajan
- Department of Digestive Diseases and Clinical Nutrition, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, India
| | - S Timmanpyati
- Department of Digestive Diseases and Clinical Nutrition, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, India
| | - M Nookala
- Department of Clinical Pharmacology, Advanced Centre for Treatment Research and Education in Cancer, Mumbai, India
| | - A Chitre
- Department of Physiotherapy, Mahamana Pandit Madan Mohan Malviya Cancer Center & Homi Bhabha Cancer Hospital, Varanasi, India
| | - A Kapoor
- Department of Medical Oncology, Mahamana Pandit Madan Mohan Malviya Cancer Center & Homi Bhabha Cancer Hospital, Varanasi, India
| | - V Gota
- Department of Clinical Pharmacology, Advanced Centre for Treatment Research and Education in Cancer, Mumbai, India
| | - S Banavali
- Department of Medical Oncology, Tata Memorial Centre, Mumbai, India
| | - R A Badwe
- Department of Surgical Oncology, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, India
| | - K Prabhash
- Department of Medical Oncology, Tata Memorial Centre, Mumbai, India.
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See C, Wheelock KM, Caraballo C, Khera R, Annapureddy A, Mahajan S, Lu Y, Krumholz HM, Murugiah K. Patterns of Digoxin Prescribing for Medicare Beneficiaries in the United States 2013-2019. Am J Med Open 2023; 10:100048. [PMID: 38213879 PMCID: PMC10783702 DOI: 10.1016/j.ajmo.2023.100048] [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] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/13/2024]
Abstract
Background Studies show that digoxin use is declining but is still prevalent. Recent data on digoxin prescription and characteristics of digoxin prescribers are unknown, which can help understand its contemporary use. Methods Using Medicare Part D data from 2013 to 2019, we studied the change in number and proportion of digoxin prescriptions and digoxin prescribers, overall and by specialty. Using logistic regression, we identified prescriber characteristics associated with digoxin prescription. Results From 2013 to 2019, total digoxin prescriptions (4.6 to 1.8 million) and proportion of digoxin prescribers decreased (9.1% to 4.3% overall; 26.6% to 11.8% among General Medicine prescribers and 65.4% to 48.9% among Cardiology). Of digoxin prescribers from 2013 practicing in 2019 (91.2% remained active), 59.1% did not prescribe digoxin at all, 31.7% reduced, and 9.2% maintained or increased prescriptions. The proportion of all digoxin prescriptions that were prescribed by General Medicine prescribers declined from 59.7% to 48.2% and increased for Cardiology (29% to 38.5%). Among new prescribers in 2019 (N = 85,508), only 1.9% prescribed digoxin. Digoxin prescribers when compared to non-digoxin prescribers were more likely male, graduated from medical school earlier, were located in the Midwest or South, and belonged to Cardiology (all P < .001). Conclusions Digoxin prescriptions continue to decline with over half of 2013 prescribers no longer prescribing digoxin in 2019. This may be a result of the increasing availability of newer heart failure therapies. The decline in digoxin prescription was greater among general medicine physicians than cardiologists, suggesting a change in digoxin use to a medication prescribed increasingly by specialists.
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Affiliation(s)
- Claudia See
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Conn
| | - Kevin M. Wheelock
- Department of Internal Medicine, Yale School of Medicine, New Haven, Conn
| | - César Caraballo
- Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Conn
| | - Rohan Khera
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Conn
- Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Conn
| | - Amarnath Annapureddy
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Conn
| | - Shiwani Mahajan
- Department of Internal Medicine, Yale School of Medicine, New Haven, Conn
- Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Conn
| | - Yuan Lu
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Conn
- Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Conn
| | - Harlan M. Krumholz
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Conn
- Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Conn
- Department of Health Policy and Management, Yale School of Public Health, New Haven, Conn
| | - Karthik Murugiah
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Conn
- Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Conn
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Lu Y, Liu Y, Dhingra LS, Caraballo C, Mahajan S, Massey D, Spatz ES, Sharma R, Rodriguez F, Watson KE, Masoudi FA, Krumholz HM. National Trends in Racial and Ethnic Disparities in Use of Recommended Therapies in Adults with Atherosclerotic Cardiovascular Disease, 1999-2020. JAMA Netw Open 2023; 6:e2345964. [PMID: 38039001 PMCID: PMC10692850 DOI: 10.1001/jamanetworkopen.2023.45964] [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: 04/05/2023] [Accepted: 10/19/2023] [Indexed: 12/02/2023] Open
Abstract
Importance Despite efforts to improve the quality of care for patients with atherosclerotic cardiovascular disease (ASCVD), it is unclear whether the US has made progress in reducing racial and ethnic differences in utilization of guideline-recommended therapies for secondary prevention. Objective To evaluate 21-year trends in racial and ethnic differences in utilization of guideline-recommended pharmacological medications and lifestyle modifications among US adults with ASCVD. Design, Setting, and Participants This cross-sectional study includes data from the National Health and Nutrition Examination Survey between 1999 and 2020. Eligible participants were adults aged 18 years or older with a history of ASCVD. Data were analyzed between March 2022 and May 2023. Exposure Self-reported race and ethnicity. Main Outcome and Measures Rates and racial and ethnic differences in the use of guideline-recommended pharmacological medications and lifestyle modifications. Results The study included 5218 adults with a history of ASCVD (mean [SD] age, 65.5 [13.2] years, 2148 women [weighted average, 44.2%]), among whom 1170 (11.6%) were Black, 930 (7.7%) were Hispanic or Latino, and 3118 (80.7%) were White in the weighted sample. Between 1999 and 2020, there was a significant increase in total cholesterol control and statin use in all racial and ethnic subgroups, and in angiotensin-converting enzyme inhibitor (ACEI) and angiotensin receptor blocker (ARB) utilization in non-Hispanic White individuals and Hispanic and Latino individuals (Hispanic and Latino individuals: 17.12 percentage points; 95% CI, 0.37-37.88 percentage points; P = .046; non-Hispanic White individuals: 12.14 percentage points; 95% CI, 6.08-18.20 percentage points; P < .001), as well as smoking cessation within the Hispanic and Latino population (-27.13 percentage points; 95% CI, -43.14 to -11.12 percentage points; P = .002). During the same period, the difference in smoking cessation between Hispanic and Latino individuals and White individuals was reduced (-24.85 percentage points; 95% CI, -38.19 to -11.51 percentage points; P < .001), but racial and ethnic differences for other metrics did not change significantly. Notably, substantial gaps persisted between current care and optimal care throughout the 2 decades of data analyzed. In the period of 2017 to 2020, optimal regimens were observed in 47.4% (95% CI, 39.3%-55.4%), 48.7% (95% CI, 36.7%-60.6%), and 53.0% (95% CI, 45.6%-60.4%) of Black, Hispanic and Latino, and White individuals, respectively. Conclusions and Relevance In this cross-sectional study of US adults with ASCVD, significant disparities persisted between current care and optimal care, surpassing any differences observed among demographic groups. These findings highlight the critical need for sustained efforts to bridge these gaps and achieve better outcomes for all patients, regardless of their racial and ethnic backgrounds.
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Affiliation(s)
- Yuan Lu
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Yuntian Liu
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut
| | - Lovedeep Singh Dhingra
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut
| | - César Caraballo
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Shiwani Mahajan
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Daisy Massey
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Erica S Spatz
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Richa Sharma
- Department of Neurology, Yale School of Public Health, New Haven, Connecticut
| | - Fatima Rodriguez
- Division of Cardiovascular Medicine, School of Medicine, Stanford University, Stanford, California
| | - Karol E Watson
- David Geffen School of Medicine, University of California, Los Angeles
| | | | - Harlan M Krumholz
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
- Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut
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Gupta A, Barthel AB, Mahajan S, Dreyer RP, Yaggi H, Bueno H, Lichtman JH, Krumholz HM. Sex-Specific Associations of Obstructive Sleep Apnea Risk With Patient Characteristics and Functional Outcomes After Acute Myocardial Infarction: Evidence From the VIRGO Study. J Am Heart Assoc 2023; 12:e027225. [PMID: 37702090 PMCID: PMC10547292 DOI: 10.1161/jaha.122.027225] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Accepted: 08/01/2023] [Indexed: 09/14/2023]
Abstract
Background Though associations between obstructive sleep apnea (OSA) and cardiovascular outcomes are well described, limited data exist regarding the impact of OSA on sex-specific outcomes after acute myocardial infarction (AMI). Methods and Results The VIRGO (Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients) study enrolled 3572 adults aged 18 to 55 years with AMI from the United States and Spain during 2008 to 2012. We included patients for whom the Berlin Questionnaire for OSA was scored at the time of AMI admission (3141; 2105 women, 1036 men). We examined the sex-specific association between baseline OSA risk with functional outcomes including health status and depressive symptoms at 1 and 12 months after AMI. Among both groups, 49% of patients were at high risk for OSA (1040 women; 509 men), but only 4.7% (148) of patients had a diagnosed history of OSA. Though patients with a high OSA risk reported worse physical and mental health status and depression than low-risk patients in both sexes, the difference in these functional outcomes was wider in women than men. Moreover, women with a high OSA risk had worse health status, depression, and quality of life than high-risk men, both at baseline and at 1 and 12 months after AMI. Conclusions Young women with a high OSA risk have poorer health status and more depressive symptoms than men at the time of AMI, which may place them at higher risk of poorer health outcomes over the year following the AMI. Further, the majority of patients at high risk of OSA are undiagnosed at the time of presentation of AMI.
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Affiliation(s)
- Aakriti Gupta
- Division of Cardiology, Department of MedicineCedars‐Sinai Medical CenterLos AngelesCAUSA
- Clinical Trials CenterCardiovascular Research FoundationNew YorkNYUSA
- Center for Outcomes Research and EvaluationYale‐New Haven HospitalNew HavenCTUSA
| | - Andrea B. Barthel
- Center for Outcomes Research and EvaluationYale‐New Haven HospitalNew HavenCTUSA
| | - Shiwani Mahajan
- Center for Outcomes Research and EvaluationYale‐New Haven HospitalNew HavenCTUSA
- Section of Cardiovascular Medicine, Department of Internal MedicineYale School of MedicineNew HavenCTUSA
| | | | - Henry Yaggi
- Section of Pulmonary, Critical Care, and Sleep Medicine, Department of Internal MedicineYale UniversityNew HavenCTUSA
| | - Héctor Bueno
- Centro Nacional de Investigaciones Cardiovasculares (CNIC)MadridSpain
- Cardiology DepartmentHospital Universitario 12 de Octubre and Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12)MadridSpain
- Centro de Investigación Biomédica en Red Enfermedades Cardiovaculares (CIBERCV)MadridSpain
- Facultad de MedicinaUniversidad Complutense de MadridMadridSpain
| | - Judith H. Lichtman
- Department of Chronic Disease EpidemiologyYale School of Public HealthNew HavenCTUSA
| | - Harlan M. Krumholz
- Center for Outcomes Research and EvaluationYale‐New Haven HospitalNew HavenCTUSA
- Section of Cardiovascular Medicine, Department of Internal MedicineYale School of MedicineNew HavenCTUSA
- Department of Health Policy and ManagementYale School of Public HealthNew HavenCTUSA
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Zhu C, Dreyer RP, Li F, Spatz ES, Caraballo‐Cordovez C, Mahajan S, Raparelli V, Leifheit EC, Lu Y, Krumholz HM, Spertus JA, D'Onofrio G, Pilote L, Lichtman JH. Impact of Marital Stress on 1-Year Health Outcomes Among Young Adults With Acute Myocardial Infarction. J Am Heart Assoc 2023; 12:e030031. [PMID: 37589125 PMCID: PMC10547344 DOI: 10.1161/jaha.123.030031] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Accepted: 07/10/2023] [Indexed: 08/18/2023]
Abstract
Background Stress experienced in a marriage or committed relationship may be associated with worse patient-reported outcomes after acute myocardial infarction (AMI), but little is known about this association in young adults (≤55 years) with AMI. Methods and Results We used data from VIRGO (Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients), an observational cohort study that enrolled individuals aged 18 to 55 years with AMI (2008-2012). Marital stress was self-reported 1 month after AMI using the Stockholm Marital Stress Scale (categorized as absent/mild, moderate, and severe). Outcomes were physical/mental health (Short Form-12), generic health status (EuroQol-5 Dimensions), cardiac-specific quality of life and angina (Seattle Angina Questionnaire), depressive symptoms (Patient Health Questionnaire-9), and all-cause readmission 1 year after AMI. Regression models were sequentially adjusted for baseline health, demographics (sex, age, race or ethnicity), and socioeconomic factors (education, income, employment, and insurance). Sex and marital stress interaction was also tested. Among 1593 married/partnered participants, 576 (36.2%) reported severe marital stress, which was more common in female than male participants (39.4% versus 30.4%, P=0.001). Severe marital stress was significantly associated with worse mental health (beta=-2.13, SE=0.75, P=0.004), generic health status (beta=-3.87, SE=1.46, P=0.008), cardiac-specific quality of life (beta=-6.41, SE=1.65, P<0.001), and greater odds of angina (odds ratio [OR], 1.49 [95% CI, 1.06-2.10], P=0.023) and all-cause readmissions (OR, 1.45 [95% CI, 1.04-2.00], P=0.006), after adjusting for baseline health, demographics, and socioeconomic factors. These associations were similar across sexes (P-interaction all >0.05). Conclusions The association between marital stress and worse 1-year health outcomes was statistically significant in young patients with AMI, suggesting a need for routine screening and the creation of interventions to support patients with stress recovering from an AMI.
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Affiliation(s)
- Cenjing Zhu
- Department of Chronic Disease EpidemiologyYale School of Public HealthNew HavenCTUSA
| | - Rachel P. Dreyer
- Department of Emergency MedicineYale School of MedicineNew HavenCTUSA
- Department of BiostatisticsYale School of Public HealthNew HavenCTUSA
| | - Fan Li
- Department of BiostatisticsYale School of Public HealthNew HavenCTUSA
- Center for Methods in Implementation and Preventive ScienceYale UniversityNew HavenCTUSA
| | - Erica S. Spatz
- Department of Chronic Disease EpidemiologyYale School of Public HealthNew HavenCTUSA
- Center for Outcomes Research and EvaluationYale University School of MedicineNew HavenCTUSA
- Section of Cardiovascular Medicine, Department of Internal MedicineYale School of MedicineNew HavenCTUSA
| | - César Caraballo‐Cordovez
- Center for Outcomes Research and EvaluationYale University School of MedicineNew HavenCTUSA
- Section of Cardiovascular Medicine, Department of Internal MedicineYale School of MedicineNew HavenCTUSA
| | - Shiwani Mahajan
- Center for Outcomes Research and EvaluationYale University School of MedicineNew HavenCTUSA
| | - Valeria Raparelli
- Department of Translational MedicineUniversity of FerraraFerraraItaly
- University Center for Studies on Gender MedicineUniversity of FerraraFerraraItaly
| | - Erica C. Leifheit
- Department of Chronic Disease EpidemiologyYale School of Public HealthNew HavenCTUSA
| | - Yuan Lu
- Center for Outcomes Research and EvaluationYale University School of MedicineNew HavenCTUSA
- Section of Cardiovascular Medicine, Department of Internal MedicineYale School of MedicineNew HavenCTUSA
| | - Harlan M. Krumholz
- Center for Outcomes Research and EvaluationYale University School of MedicineNew HavenCTUSA
- Department of CardiologyYale School of MedicineNew HavenCTUSA
- Department of Health Policy and ManagementYale School of Public HealthNew HavenCTUSA
| | - John A. Spertus
- Healthcare Institute for Innovations in Quality, University of MissouriKansas CityMOUSA
- Saint Luke’s Cardiovascular Outcomes ResearchSaint Luke’s Mid America Heart InstituteKansas CityMOUSA
| | - Gail D'Onofrio
- Department of Chronic Disease EpidemiologyYale School of Public HealthNew HavenCTUSA
- Department of Emergency MedicineYale School of MedicineNew HavenCTUSA
| | - Louise Pilote
- Center for Outcomes Research and EvaluationResearch Institute, McGill University Health CentreMontrealQuebecCanada
- Research Institute of the McGill University Health CentreMontrealQuebecCanada
| | - Judith H. Lichtman
- Department of Chronic Disease EpidemiologyYale School of Public HealthNew HavenCTUSA
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8
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Zhu C, Dreyer RP, Li F, Spatz ES, Caraballo C, Mahajan S, Raparelli V, Leifheit EC, Lu Y, Krumholz HM, Spertus JA, D’Onofrio G, Pilote L, Lichtman JH. Association of Marital/Partner Status with Hospital Readmission Among Young Adults With Acute Myocardial Infarction. medRxiv 2023:2023.06.20.23291664. [PMID: 37425864 PMCID: PMC10327186 DOI: 10.1101/2023.06.20.23291664] [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] [Indexed: 07/11/2023]
Abstract
Introduction Despite evidence supporting the benefits of marriage on cardiovascular health, the impact of marital/partner status on the long-term readmission of young acute myocardial infarction (AMI) survivors is less clear. We aimed to examine the association between marital/partner status and 1-year all-cause readmission, and explore sex differences, among young AMI survivors. Methods Data were from the VIRGO study (Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients), which enrolled young adults aged 18-55 years with AMI (2008-2012). The primary end point was all-cause readmission within 1 year of hospital discharge, obtained from medical record, patient interviews, and adjudicated by a physician panel. We performed Cox proportional hazards models with sequential adjustment for demographic, socioeconomic, clinical and psychosocial factors. Sex-marital/partner status interaction was also tested. Results Of the 2,979 adults with AMI (2002 women [67.2%]; mean age 48 [interquartile range, 44-52] years), unpartnered individuals were more likely to experience all-cause readmissions compared with married/partnered individuals within the first year after hospital discharge (34.6% versus 27.2%, hazard ratio [HR]=1.31; 95% confidence interval [CI], 1.15-1.49). The association attenuated but remained significant after adjustment for demographic and socioeconomic factors (adjusted HR, 1.16; 95%CI, 1.01-1.34), and was not significant after further adjusting for clinical factors and psychosocial factors (adjusted HR, 1.10; 95%CI, 0.94-1.28). Sex-marital/partner status interaction was not significant (p=0.69). Sensitivity analysis using data with multiple imputation, and restricting outcomes to cardiac readmission yielded comparable results. Conclusions In a cohort of young adults aged 18-55 years, unpartnered status was associated with 1.3-fold increased risk of all-cause readmission within 1 year of AMI discharge. Further adjustment for demographic, socioeconomic, clinical and psychosocial factors attenuated the association, suggesting that these factors may explain disparities in readmission between married/partnered versus unpartnered young adults. Whereas young women experienced more readmission compared to similar-aged men, the association between marital/partner status and 1-year readmission did not vary by sex.
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Affiliation(s)
- Cenjing Zhu
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, USA
| | - Rachel P Dreyer
- Department of Emergency Medicine, Yale School of Medicine, New Haven, CT, USA
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA
| | - Fan Li
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA
- Center for Methods in Implementation and Preventive Science, Yale University, New Haven, CT, USA
| | - Erica S Spatz
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, USA
- Center for Outcomes Research and Evaluation, Yale University School of Medicine, New Haven, CT, USA
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
| | - César Caraballo
- Center for Outcomes Research and Evaluation, Yale University School of Medicine, New Haven, CT, USA
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Shiwani Mahajan
- Center for Outcomes Research and Evaluation, Yale University School of Medicine, New Haven, CT, USA
| | - Valeria Raparelli
- Department of Translational Medicine, University of Ferrara, Ferrara, Italy
- University Center for Studies on Gender Medicine, University of Ferrara, Ferrara, Italy
| | - Erica C Leifheit
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, USA
| | - Yuan Lu
- Center for Outcomes Research and Evaluation, Yale University School of Medicine, New Haven, CT, USA
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Harlan M Krumholz
- Center for Outcomes Research and Evaluation, Yale University School of Medicine, New Haven, CT, USA
- Department of Cardiology, Yale School of Medicine, New Haven, CT, USA
- Department of Health Policy and Management, Yale School of Public Health, New Haven, CT, USA
| | - John A Spertus
- Healthcare Institute for Innovations in Quality, University of Missouri – Kansas City, Missouri, USA
- Saint Luke’s Cardiovascular Outcomes Research, Saint Luke’s Mid America Heart Institute, Kansas City, Missouri, USA
| | - Gail D’Onofrio
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, USA
- Department of Emergency Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Louise Pilote
- Center for Outcomes Research and Evaluation, Research Institute, McGill University Health Centre, Montreal, Quebec, Canada
- Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
| | - Judith H Lichtman
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, USA
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9
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Sawano M, Lu Y, Caraballo C, Mahajan S, Dreyer R, Lichtman JH, D'Onofrio G, Spatz E, Khera R, Onuma O, Murugiah K, Spertus JA, Krumholz HM. Sex Difference in Outcomes of Acute Myocardial Infarction in Young Patients. J Am Coll Cardiol 2023; 81:1797-1806. [PMID: 37137590 DOI: 10.1016/j.jacc.2023.03.383] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 02/27/2023] [Accepted: 03/01/2023] [Indexed: 05/05/2023]
Abstract
BACKGROUND Younger women experience worse health status than men after their index episode of acute myocardial infarction (AMI). However, whether women have a higher risk for cardiovascular and noncardiovascular hospitalizations in the year after discharge is unknown. OBJECTIVES The aim of this study was to determine sex differences in causes and timing of 1-year outcomes after AMI in people aged 18 to 55 years. METHODS Data from the VIRGO (Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients) study, which enrolled young patients with AMI across 103 U.S. hospitals, were used. Sex differences in all-cause and cause-specific hospitalizations were compared by calculating incidence rates ([IRs] per 1,000 person-years) and IR ratios with 95% CIs. We then performed sequential modeling to evaluate the sex difference by calculating subdistribution HRs (SHRs) accounting for deaths. RESULTS Among 2,979 patients, at least 1 hospitalization occurred among 905 patients (30.4%) in the year after discharge. The leading causes of hospitalization were coronary related (IR: 171.8 [95% CI: 153.6-192.2] among women vs 117.8 [95% CI: 97.3-142.6] among men), followed by noncardiac hospitalization (IR: 145.8 [95% CI: 129.2-164.5] among women vs 69.6 [95% CI: 54.5-88.9] among men). Furthermore, a sex difference was present for coronary-related hospitalizations (SHR: 1.33; 95% CI: 1.04-1.70; P = 0.02) and noncardiac hospitalizations (SHR: 1.51; 95% CI: 1.13-2.07; P = 0.01). CONCLUSIONS Young women with AMI experience more adverse outcomes than men in the year after discharge. Coronary-related hospitalizations were most common, but noncardiac hospitalizations showed the most significant sex disparity.
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Affiliation(s)
- Mitsuaki Sawano
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, Yale New Haven Hospital Center of Outcomes Research and Evaluation, New Haven, Connecticut, USA
| | - Yuan Lu
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, Yale New Haven Hospital Center of Outcomes Research and Evaluation, New Haven, Connecticut, USA
| | - César Caraballo
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, Yale New Haven Hospital Center of Outcomes Research and Evaluation, New Haven, Connecticut, USA
| | - Shiwani Mahajan
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, Yale New Haven Hospital Center of Outcomes Research and Evaluation, New Haven, Connecticut, USA
| | - Rachel Dreyer
- Department of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut, USA
| | - Judith H Lichtman
- Department of Chronic Disease Epidemiology, Yale School of Public Health, Yale School of Medicine, New Haven, Connecticut, USA
| | - Gail D'Onofrio
- Department of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut, USA
| | - Erica Spatz
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, Yale New Haven Hospital Center of Outcomes Research and Evaluation, New Haven, Connecticut, USA
| | - Rohan Khera
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, Yale New Haven Hospital Center of Outcomes Research and Evaluation, New Haven, Connecticut, USA
| | - Oyere Onuma
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, Yale New Haven Hospital Center of Outcomes Research and Evaluation, New Haven, Connecticut, USA
| | - Karthik Murugiah
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, Yale New Haven Hospital Center of Outcomes Research and Evaluation, New Haven, Connecticut, USA
| | - John A Spertus
- University of Missouri-Kansas City's Healthcare Institute for Innovations in Quality and Saint Luke's Mid America Heart Institute, Kansas City, Missouri, USA
| | - Harlan M Krumholz
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, Yale New Haven Hospital Center of Outcomes Research and Evaluation, New Haven, Connecticut, USA; Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut, USA.
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10
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Lu Y, Linderman GC, Mahajan S, Liu Y, Huang C, Khera R, Mortazavi BJ, Spatz ES, Krumholz HM. Quantifying Blood Pressure Visit-to-Visit Variability in the Real-World Setting: A Retrospective Cohort Study. Circ Cardiovasc Qual Outcomes 2023; 16:e009258. [PMID: 36883456 DOI: 10.1161/circoutcomes.122.009258] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 01/09/2023] [Indexed: 03/09/2023]
Abstract
BACKGROUND Visit-to-visit variability (VVV) in blood pressure values has been reported in clinical studies. However, little is known about VVV in clinical practice and whether it is associated with patient characteristics in real-world setting. METHODS We conducted a retrospective cohort study to quantify VVV in systolic blood pressure (SBP) values in a real-world setting. We included adults (age ≥18 years) with at least 2 outpatient visits between January 1, 2014 and October 31, 2018 from Yale New Haven Health System. Patient-level measures of VVV included SD and coefficient of variation of a given patient's SBP across visits. We calculated patient-level VVV overall and by patient subgroups. We further developed a multilevel regression model to assess the extent to which VVV in SBP was explained by patient characteristics. RESULTS The study population included 537 218 adults, with a total of 7 721 864 SBP measurements. The mean age was 53.4 (SD 19.0) years, 60.4% were women, 69.4% were non-Hispanic White, and 18.1% were on antihypertensive medications. Patients had a mean body mass index of 28.4 (5.9) kg/m2 and 22.6%, 8.0%, 9.7%, and 5.6% had a history of hypertension, diabetes, hyperlipidemia, and coronary artery disease, respectively. The mean number of visits per patient was 13.3, over an average period of 2.4 years. The mean (SD) intraindividual SD and coefficient of variation of SBP across visits were 10.6 (5.1) mm Hg and 0.08 (0.04). These measures of blood pressure variation were consistent across patient subgroups defined by demographic characteristics and medical history. In the multivariable linear regression model, only 4% of the variance in absolute standardized difference was attributable to patient characteristics. CONCLUSIONS The VVV in real-world practice poses challenges for management of patients with hypertension based on blood pressure readings in outpatient settings and suggest the need to go beyond episodic clinic evaluation.
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Affiliation(s)
- Yuan Lu
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, CT (Y.L., G.C.L., S.M., Y.L., C.H., R.K., B.M., E.S.S., H.M.K.)
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, CT (Y.L., S.M., R.K., E.S.S., H.M.K.)
| | - George C Linderman
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, CT (Y.L., G.C.L., S.M., Y.L., C.H., R.K., B.M., E.S.S., H.M.K.)
- Department of Applied Mathematics, Yale University, New Haven, CT (G.C.L.)
| | - Shiwani Mahajan
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, CT (Y.L., G.C.L., S.M., Y.L., C.H., R.K., B.M., E.S.S., H.M.K.)
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, CT (Y.L., S.M., R.K., E.S.S., H.M.K.)
| | - Yuntian Liu
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, CT (Y.L., G.C.L., S.M., Y.L., C.H., R.K., B.M., E.S.S., H.M.K.)
| | - Chenxi Huang
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, CT (Y.L., G.C.L., S.M., Y.L., C.H., R.K., B.M., E.S.S., H.M.K.)
| | - Rohan Khera
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, CT (Y.L., G.C.L., S.M., Y.L., C.H., R.K., B.M., E.S.S., H.M.K.)
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, CT (Y.L., S.M., R.K., E.S.S., H.M.K.)
| | - Bobak J Mortazavi
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, CT (Y.L., G.C.L., S.M., Y.L., C.H., R.K., B.M., E.S.S., H.M.K.)
- Department of Computer Science and Engineering, Texas A&M University, College Station, TX (B.M.)
- Center for Remote Health Technologies and Systems, Texas A&M University, College Station, TX (B.M.)
| | - Erica S Spatz
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, CT (Y.L., G.C.L., S.M., Y.L., C.H., R.K., B.M., E.S.S., H.M.K.)
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, CT (Y.L., S.M., R.K., E.S.S., H.M.K.)
| | - Harlan M Krumholz
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, CT (Y.L., G.C.L., S.M., Y.L., C.H., R.K., B.M., E.S.S., H.M.K.)
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, CT (Y.L., S.M., R.K., E.S.S., H.M.K.)
- Department of Health Policy and Management, Yale School of Public Health, New Haven, CT (H.M.K.)
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11
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Sawano M, Lu Y, Caraballo C, Mahajan S, Dreyer RP, Lichtman JH, D'Onofrio G, Spatz ES, Khera R, Onuma O, Murugiah K, Spertus JA, Krumholz HM. SEX DIFFERENCE IN CAUSES AND TIMING OF ONE-YEAR OUTCOMES AMONG YOUNG ACUTE MYOCARDIAL INFARCTION PATIENTS; RESULTS FROM THE VIRGO STUDY. J Am Coll Cardiol 2023. [DOI: 10.1016/s0735-1097(23)01738-2] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
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12
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Lu Y, Xinxin Du C, Khidir H, Caraballo C, Mahajan S, Spatz ES, Curry LA, Krumholz HM. Developing an Actionable Taxonomy of Persistent Hypertension Using Electronic Health Records. Circ Cardiovasc Qual Outcomes 2023; 16:e009453. [PMID: 36727515 DOI: 10.1161/circoutcomes.122.009453] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
BACKGROUND The digital transformation of medical data presents opportunities for novel approaches to manage patients with persistent hypertension. We sought to develop an actionable taxonomy of patients with persistent hypertension (defined as 5 or more consecutive measurements of blood pressure ≥160/100 mmHg over time) based on data from the electronic health records. METHODS This qualitative study was a content analysis of clinician notes in the electronic health records of patients in the Yale New Haven Health System. Eligible patients were 18 to 85 years and had blood pressure ≥160/100 mmHg at 5 or more consecutive outpatient visits between January 1, 2013 and October 31, 2018. A total of 1664 patients met criteria, of which 200 records were randomly selected for chart review. Through a systematic, inductive approach, we developed a rubric to abstract data from the electronic health records and then analyzed the abstracted data qualitatively using conventional content analysis until saturation was reached. RESULTS We reached saturation with 115 patients, who had a mean age of 66.0 (SD, 11.6) years; 54.8% were female; 52.2%, 30.4%, and 13.9% were White, Black, and Hispanic patients. We identified 3 content domains related to persistence of hypertension: (1) non-intensification of pharmacological treatment, defined as absence of antihypertensive treatment intensification in response to persistent severely elevated blood pressure; (2) non-implementation of prescribed treatment, defined as a documentation of provider recommending a specified treatment plan to address hypertension but treatment plan not being implemented; and (3) non-response to prescribed treatment, defined as clinician-acknowledged persistent hypertension despite documented effort to escalate existing pharmacologic agents and addition of additional pharmacologic agents with presumption of adherence. CONCLUSIONS This study presents a novel actionable taxonomy for classifying patients with persistent hypertension by their contributing causes based on electronic health record data. These categories can be automated and linked to specific types of actions to address them.
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Affiliation(s)
- Yuan Lu
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, CT (Y.L., C.C., S.M., E.S.S., H.M.K.)
- Section of Cardiovascular Medicine, Department of Internal Medicine (Y.L., C.X.D., C.C., S.M., E.S.S., H.M.K.), Yale School of Medicine, New Haven, CT
| | - Cindy Xinxin Du
- Section of Cardiovascular Medicine, Department of Internal Medicine (Y.L., C.X.D., C.C., S.M., E.S.S., H.M.K.), Yale School of Medicine, New Haven, CT
| | - Hazar Khidir
- Department of Emergency Medicine (H.K.), Yale School of Medicine, New Haven, CT
| | - César Caraballo
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, CT (Y.L., C.C., S.M., E.S.S., H.M.K.)
- Section of Cardiovascular Medicine, Department of Internal Medicine (Y.L., C.X.D., C.C., S.M., E.S.S., H.M.K.), Yale School of Medicine, New Haven, CT
| | - Shiwani Mahajan
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, CT (Y.L., C.C., S.M., E.S.S., H.M.K.)
- Section of Cardiovascular Medicine, Department of Internal Medicine (Y.L., C.X.D., C.C., S.M., E.S.S., H.M.K.), Yale School of Medicine, New Haven, CT
| | - Erica S Spatz
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, CT (Y.L., C.C., S.M., E.S.S., H.M.K.)
- Section of Cardiovascular Medicine, Department of Internal Medicine (Y.L., C.X.D., C.C., S.M., E.S.S., H.M.K.), Yale School of Medicine, New Haven, CT
| | - Leslie A Curry
- Department of Health Policy and Management, Yale School of Public Health, New Haven, CT (L.C., H.M.K.)
| | - Harlan M Krumholz
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, CT (Y.L., C.C., S.M., E.S.S., H.M.K.)
- Section of Cardiovascular Medicine, Department of Internal Medicine (Y.L., C.X.D., C.C., S.M., E.S.S., H.M.K.), Yale School of Medicine, New Haven, CT
- Department of Health Policy and Management, Yale School of Public Health, New Haven, CT (L.C., H.M.K.)
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13
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Zhu C, Dreyer RP, Li F, Spatz ES, Caraballo C, Mahajan S, Raparelli V, Leifheit EC, Lu Y, Krumholz HM, Spertus J, DONOFRIO G, Pilote L, Lichtman JH. Abstract P405: Low Social Support Mediates the Effect of Marital Stress on 12-month Cardiac-Specific Quality of Life in Young Adults With Acute Myocardial Infarction. Circulation 2023. [DOI: 10.1161/circ.147.suppl_1.p405] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/17/2023]
Abstract
Background:
Marital stress is associated with worse cardiac outcomes in young adults (≤55 years) with acute myocardial infarction (AMI), but whether psychosocial factors mediate this association remains largely unknown. We conducted a mediation analysis to investigate whether marital stress worsened quality of life (QoL) after AMI by increasing the likelihood of depression or low social support.
Methods:
There were 1,037 married/partnered AMI survivors aged 18-55 years enrolled in the VIRGO (Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients) study (2008-2012) (67% women, mean age 47 years). Marital stress was measured by the Stockholm Marital Stress Scale at 1 month post-AMI; categorized as absent/moderate or severe. Depression (Patient Health Questionnaire-9 score ≥10), low social support (ENRICHD Social Support Instrument score ≤3 on ≥2 items and total score ≤18), and cardiac-specific QoL (Seattle Angina Questionnaire) were assessed at 1 year post-AMI. Natural direct and indirect effects of marital stress, depression, and low social support on QoL were estimated by causal mediation analysis with bias-corrected bootstrapped confidence intervals. Baseline QoL, sex, age, race, and socioeconomic factors (education, income, employment, and insurance status) were entered as covariates in all models.
Results:
There was a statistically significant direct effect from severe marital stress to lower 1-year cardiac-specific QoL after adjusting for covariates (
Figure
). Low social support and depression mediated 14.7% and 11.1% of the total relationship between marital stress and QoL, respectively; however, only the mediating effect through low social support was statistically significant.
Conclusion:
Marital stress was significantly associated with worse 1-year cardiac-specific QoL, and this effect was partially mediated by low social support. Interventions to decrease marital stress that also screen and provide resources for social support may help to improve AMI outcomes.
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Affiliation(s)
| | | | - Fan Li
- Yale Sch of Public Health, New Haven, CT
| | | | | | | | | | | | | | | | - John Spertus
- Saint Luke's Mid America Heart Inst, Kansas City, MO
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14
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Bikdeli B, Lo YC, Khairani C, Bejjani A, Jiménez D, Barco S, Mahajan S, Caraballo C, Secemsky E, Klok E, Hunsaker A, Aghayev A, Muriel A, Wang Y, Hussain M, Appah-Sampong A, Lu Y, Lin Z, Aneja S, Khera R, Goldhaber SZ, Zhou L, Monreal M, Krumholz H, Piazza G. Developing Validated Tools to Identify Pulmonary Embolism in Electronic Databases: Rationale and Design of the PE-EHR+ Study. Thromb Haemost 2023; 123:649-662. [PMID: 36809777 DOI: 10.1055/a-2039-3222] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/23/2023]
Abstract
BACKGROUND Contemporary pulmonary embolism (PE) research relies on data from electronic health records (EHRs) and administrative databases that use International Classification of Diseases (ICD) codes. Natural language processing (NLP) tools can be used for automated chart review and patient identification. However, there remains uncertainty with the validity of ICD-10 codes or NLP algorithms for patient identification. METHODS The PE-EHR+ study has been designed to validate ICD-10 codes as Principal Discharge Diagnosis, or Secondary Discharge Diagnoses, as well as NLP tools set out in prior studies to identify patients with PE within EHRs. Manual chart review by two independent abstractors by predefined criteria will be the reference standard. Sensitivity, specificity, and positive and negative predictive values will be determined. We will assess the discriminatory function of code subgroups for intermediate- and high-risk PE. In addition, accuracy of NLP algorithms to identify PE from radiology reports will be assessed. RESULTS A total of 1,734 patients from the Mass General Brigham health system have been identified. These include 578 with ICD-10 Principal Discharge Diagnosis codes for PE, 578 with codes in the secondary position, and 578 without PE codes during the index hospitalization. A smaller subset of patients will also be identified from the Yale-New Haven Health System. Data validation and analyses will be forthcoming. CONCLUSIONS The PE-EHR+ study will help validate efficient tools for identification of patients with PE in EHRs, improving the reliability of efficient observational studies or randomized trials of patients with PE using electronic databases.
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Affiliation(s)
- Behnood Bikdeli
- Yale University Center for Outcomes Research and Evaluation, New Haven, United States
| | - Ying-Chih Lo
- Brigham and Women's Hospital, Boston, United States
| | | | | | - David Jiménez
- Respiratory Division, Medicine Department, Ramón y Cajal Hospital, IRYCIS and Alcalá de Henares University, Madrid, Spain
| | - Stefano Barco
- Clinic of Angiology, University Hospital Zurich, Zurich, Switzerland.,Clinic of Angiology, University Hospital Zurich, Zurich, Switzerland
| | | | - Cesar Caraballo
- Yale University Center for Outcomes Research and Evaluation, New Haven, United States
| | - Eric Secemsky
- Beth Israel Deaconess Medical Center, Boston, United States
| | - Erik Klok
- Dept. of Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, Netherlands.,Center for Thrombosis and Hemostasis (CTH), Johannes Gutenberg University Mainz, Mainz, Germany
| | | | - Ayaz Aghayev
- Brigham and Women's Hospital, Boston, United States
| | | | - Yun Wang
- Yale University Center for Outcomes Research and Evaluation, New Haven, United States
| | | | | | - Yuan Lu
- Yale University Center for Outcomes Research and Evaluation, New Haven, United States
| | - Zhenqui Lin
- Yale University Center for Outcomes Research and Evaluation, New Haven, United States
| | - Sanjay Aneja
- Yale School of Medicine, New Haven, United States
| | - Rohan Khera
- Yale University Center for Outcomes Research and Evaluation, New Haven, United States
| | | | - Li Zhou
- Brigham and Women's Hospital, Boston, United States
| | - Manuel Monreal
- Universidad Catolica San Antonio de Murcia Facultad de Ciencias de la Salud, Barcelona, Spain
| | - Harlan Krumholz
- Yale University Center for Outcomes Research and Evaluation, New Haven, United States
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Bolumen A, Mahajan S, Bhat R, Kilaikode S. Unique case of persistent respiratory distress in a premature neonate. Am J Med Sci 2023. [DOI: 10.1016/s0002-9629(23)00375-0] [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: 01/28/2023]
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16
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Caraballo C, Mahajan S, Murugiah K, Mortazavi BJ, Lu Y, Khera R, Krumholz HM. Timing of Blood Draws Among Patients Hospitalized in a Large Academic Medical Center. JAMA 2023; 329:255-257. [PMID: 36648476 PMCID: PMC9856620 DOI: 10.1001/jama.2022.21509] [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: 08/11/2022] [Accepted: 11/01/2022] [Indexed: 01/18/2023]
Abstract
This study describes the degree to which blood draws occurred among hospitalized patients during traditional sleep hours and investigates trends over time.
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Affiliation(s)
- César Caraballo
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut
| | - Shiwani Mahajan
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut
| | - Karthik Murugiah
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut
| | - Bobak J. Mortazavi
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut
| | - Yuan Lu
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut
| | - Rohan Khera
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut
| | - Harlan M. Krumholz
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut
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Chand N, Pande M, Tyagi S, Sirohi AS, Mahajan S, Kumar S, Sarika EY, Sharma A. Antibiogram of microorganisms isolated from fresh and frozen semen of crossbred frieswal bulls. Cryo Letters 2022; 43:322-327. [PMID: 36629826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
BACKGROUND The bacterial contaminants in the semen are a major concern for most of the semen production laboratories because they adversely affect the semen quality. During sperm cryopreservation, the inclusion of antimicrobials in extenders may help to minimize bacterial growth. However, due to bacterial resistance to commonly used antimicrobials, they cannot fully assure microbiological safety to the frozen semen. OBJECTIVE To estimate the microbial load and antibiogram of microorganisms isolated from the fresh and frozen bull semen. MATERIALS AND METHODS The bacterial load was estimated in fresh and frozen semen samples of crossbred Frieswal bulls by the pour plate method. Microorganisms were identified as Gram positive and Gram negative by Gram staining. The representative bacterial colonies were streaked onto different specific media which were further confirmed by biochemical tests. Bacterial isolates were subjected to in vitro antibiotic sensitivity test. RESULTS The average microbial load of fresh and frozen semen samples was found to be 8397.4 ± 524.3 cfu per mL and 680.9 ± 105.4 cfuper mL, respectively. Microorganisms belonging to Staphylococcus aureus, Staphylococcus epidermidis, Proteus, Klebsiella, Bacillus cereus, Bacillus subtilis, Actinomyces, E. coli, Rhodococcus, Neisseria and Micrococcus were identified in the semen samples. The antibiotic sensitivity testing of the bacterial isolates revealed that benzyl penicillin was found to be the least effective against the isolated organisms while gentamicin and spectinomycin were found to be most effective among the antibiotics used. Lincomycin, tylosin and streptomycin showed moderate efficacy against the bacterial isolates. CONCLUSION Gentamicin, tylosin, lincomycin, and spectinomycin (GTLS) antibiotic combination is more effective against bacterial isolates and may be added to semen extender to better control bacterial load and semen quality. doi.org/10.54680/fr22610110512.
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Affiliation(s)
- N Chand
- Division of Cattle Physiology and Reproduction, ICAR-Central Institute for Research on Cattle, Meerut Cantt-250001, Uttar Pradesh, India.
| | - M Pande
- Division of Cattle Physiology and Reproduction, ICAR-Central Institute for Research on Cattle, Meerut Cantt-250001, Uttar Pradesh, India
| | - S Tyagi
- Division of Cattle Physiology and Reproduction, ICAR-Central Institute for Research on Cattle, Meerut Cantt-250001, Uttar Pradesh, India
| | - A S Sirohi
- Division of Cattle Physiology and Reproduction, ICAR-Central Institute for Research on Cattle, Meerut Cantt-250001, Uttar Pradesh, India
| | - S Mahajan
- Division of Cattle Physiology and Reproduction, ICAR -Central Institute for Research on Cattle, Meerut Cantt-250001, Uttar Pradesh, India
| | - S Kumar
- Division of Cattle Physiology and Reproduction, ICAR-Central Institute for Research on Cattle, Meerut Cantt-250001, Uttar Pradesh, India
| | - EmptyYN Y Sarika
- Division of Cattle Physiology and Reproduction, ICAR-Central Institute for Research on Cattle, Meerut Cantt-250001, Uttar Pradesh, India
| | - A Sharma
- Division of Cattle Physiology and Reproduction, ICAR-Central Institute for Research on Cattle, Meerut Cantt-250001, Uttar Pradesh, India
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18
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Mahajan S, Daptardar A, Noronha V. Does Performance Oriented Mobility Assessment (POMA) add to the functional assessment of older Indian patients with cancer? J Geriatr Oncol 2022. [DOI: 10.1016/s1879-4068(22)00322-8] [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: 11/05/2022]
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19
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Verma H, Javed Z, Hong JC, Mahajan S, Mszar R, Grandhi GR, Desai NR, Virani SS, Javed U, Valero-Elizondo J, Nasir K. The Impact of the Affordable Care Act on Disparities in Utilization of Cardiovascular Preventive Services by Socioeconomic Status. Popul Health Manag 2022; 25:669-676. [PMID: 36067118 DOI: 10.1089/pop.2021.0337] [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] [Indexed: 11/13/2022] Open
Abstract
Disparities in cardiovascular outcomes are persistent in our society. The objective was to track the trends before and after the passage of the Affordable Care Act in socioeconomic status (SES) disparities in utilization of cardiovascular disease (CVD) preventive services among nonelderly adults aged 18-64 years. This study used the National Health Interview Survey (2011-2017) to compare utilization of blood pressure, cholesterol, glycemic screening, and diet and smoking cessation advice over time between groups stratified by SES and race using difference-in-difference analysis. This study also measured the differences over time in specific vulnerable population subgroups (Hispanic, low-income and uninsured vs. White, middle-high-income, and insured). The study population included 176,961 surveyed individuals (mean age 40 [±13] years; 51% female; 67.7% non-Hispanic White) between 2011 and 2017, translating to 194.8 million nonelderly US adults per year. Most individuals were from high-income SES (40.0%), followed by middle-income (28.1%), low-income (13.6%), and lowest income SES (18.3%). The proportion of CVD preventive services increased over all SES categories through the study period. The biggest relative changes were seen among low-income individuals. The difference in blood pressure checks, cholesterol checks, and smoking cessation advise between high- and lowest income groups showed a statistically significant decrease at 5.2%, 4.8%, and 11.2%, respectively, between 2011 and 2017. The findings demonstrate a trend in reduction of CVD preventive care disparities between SES groups. However, a gap still exists, and this study highlights the need for continuous improvement to eliminate SES disparities.
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Affiliation(s)
- Hannah Verma
- Department of Medical Education, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Zulqarnain Javed
- Center for Outcomes Research, Houston Methodist Research Institute, Houston, Texas, USA
| | - Jonathan C Hong
- Division of Cardiac Surgery, Northwestern University, Chicago, Illinois, USA
| | - Shiwani Mahajan
- Center for Outcomes Research and Evaluation, Yale New Haven Health, New Haven, Connecticut, USA
| | - Reed Mszar
- Center for Outcomes Research and Evaluation, Yale New Haven Health, New Haven, Connecticut, USA
| | - Gowtham R Grandhi
- Department of Medicine, MedStar Union Memorial Hospital, Baltimore, Maryland, USA
| | - Nihar R Desai
- Center for Outcomes Research and Evaluation, Yale New Haven Health, New Haven, Connecticut, USA.,Section of Cardiovascular Medicine, Department of Medicine, Yale School of Medicine, New Haven, Connecticut, USA
| | - Salim S Virani
- Department of Medicine, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas, USA.,Department of Medicine, Baylor College of Medicine, Houston, Texas, USA
| | - Umair Javed
- Department of Biological Sciences, National University of Medical Sciences, Rawalpindi, Pakistan
| | - Javier Valero-Elizondo
- Center for Outcomes Research, Houston Methodist Research Institute, Houston, Texas, USA.,Division of Cardiovascular Prevention and Wellness, Houston Methodist DeBakey Heart and Vascular Center, Houston, Texas, USA
| | - Khurram Nasir
- Center for Outcomes Research, Houston Methodist Research Institute, Houston, Texas, USA.,Division of Cardiovascular Prevention and Wellness, Houston Methodist DeBakey Heart and Vascular Center, Houston, Texas, USA
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Caraballo C, Herrin J, Mahajan S, Massey D, Lu Y, Ndumele CD, Drye EE, Krumholz HM. Temporal Trends in Racial and Ethnic Disparities in Multimorbidity Prevalence in the United States, 1999-2018. Am J Med 2022; 135:1083-1092.e14. [PMID: 35472394 DOI: 10.1016/j.amjmed.2022.04.010] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 03/30/2022] [Accepted: 04/04/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND Disparities in multimorbidity prevalence indicate health inequalities, as the risk of morbidity does not intrinsically differ by race/ethnicity. This study aimed to determine if multimorbidity differences by race/ethnicity are decreasing over time. METHODS Serial cross-sectional analysis of the National Health Interview Survey, 1999-2018. Included individuals were ≥18 years old and categorized by self-reported race, ethnicity, age, and income. The main outcomes were temporal trends in multimorbidity prevalence based on the self-reported presence of ≥2 of 9 common chronic conditions. FINDINGS The study sample included 596,355 individuals (4.7% Asian, 11.8% Black, 13.8% Latino/Hispanic, and 69.7% White). In 1999, the estimated prevalence of multimorbidity was 5.9% among Asian, 17.4% among Black, 10.7% among Latino/Hispanic, and 13.5% among White individuals. Prevalence increased for all racial/ethnic groups during the study period (P ≤ .001 for each), with no significant change in the differences between them. In 2018, compared with White individuals, multimorbidity was more prevalent among Black individuals (+2.5 percentage points) and less prevalent among Asian and Latino/Hispanic individuals (-6.6 and -2.1 percentage points, respectively). Among those aged ≥30 years, Black individuals had multimorbidity prevalence equivalent to that of Latino/Hispanic and White individuals aged 5 years older, and Asian individuals aged 10 years older. CONCLUSIONS From 1999 to 2018, a period of increasing multimorbidity prevalence for all the groups studied, there was no significant progress in eliminating disparities between Black individuals and White individuals. Public health interventions that prevent the onset of chronic conditions in early life may be needed to eliminate these disparities.
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Affiliation(s)
- César Caraballo
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Conn; Section of Cardiovascular Medicine, Department of Internal Medicine
| | - Jeph Herrin
- Section of Cardiovascular Medicine, Department of Internal Medicine
| | - Shiwani Mahajan
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Conn; Department of Internal Medicine, Yale School of Medicine, New Haven, Conn
| | - Daisy Massey
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Conn
| | - Yuan Lu
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Conn; Section of Cardiovascular Medicine, Department of Internal Medicine
| | - Chima D Ndumele
- Department of Health Policy and Management, Yale School of Public Health, New Haven, Conn
| | - Elizabeth E Drye
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Conn; Department of Pediatrics, Yale School of Medicine, New Haven, Conn
| | - Harlan M Krumholz
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Conn; Section of Cardiovascular Medicine, Department of Internal Medicine; Department of Health Policy and Management, Yale School of Public Health, New Haven, Conn.
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Bhowmik MD D, Das C, Verma P, Maity I, Mourya B, Saini B, Subbiah A, Bagchi S, Yadav R, Mahajan S, Agarwal S. POS-039 RENAL ABSCESSES (COMPLICATED BY ACUTE KIDNEY INJURY) IN YOUNG OTHERWISE HEALTHY NON-DIABETIC ADULTS WITHOUT URINARY TRACT ABNORMALITIES – A CASE SERIES. Kidney Int Rep 2022. [DOI: 10.1016/j.ekir.2022.07.056] [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: 10/14/2022] Open
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22
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Agarwal S, Bagchi S, Bhowmik D, Mahajan S, Yadav R, Subbiah A, Srivastava A, Panigrahi D, Balloni V. POS-097 IMPACT OF UNIVERSAL PROPHYLAXIS ON INCIDENCE OF CMV INFECTION IN D+/R+ LIVING RENAL TRANSPLANT RECIPIENTS: SINGLE CENTER STUDY FROM INDIA. Kidney Int Rep 2022. [DOI: 10.1016/j.ekir.2022.07.115] [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: 11/25/2022] Open
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23
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Lu Y, Jones PW, Caraballo C, Mahajan S, Massey DS, Ahmed R, Bader EM, Krumholz HM. Cardiac Status Among Heart Failure Patients With Implantable Cardioverter Defibrillators Before, During, and After COVID-19 Lockdown. J Card Fail 2022; 28:1372-1374. [PMID: 35690314 PMCID: PMC9187866 DOI: 10.1016/j.cardfail.2022.05.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 05/19/2022] [Accepted: 05/19/2022] [Indexed: 11/17/2022]
Affiliation(s)
- Yuan Lu
- Center for Outcomes Research and Evaluation Yale New Haven Hospital and Section of Cardiovascular Medicine Department of Internal Medicine Yale School of Medicine New Haven, Connecticut
| | - Paul W Jones
- Clinical Department Boston Scientific Corporation St. Paul, Minnesota
| | - César Caraballo
- Center for Outcomes Research and Evaluation Yale New Haven Hospital and Section of Cardiovascular Medicine Department of Internal Medicine Yale School of Medicine New Haven, Connecticut
| | - Shiwani Mahajan
- Center for Outcomes Research and Evaluation Yale New Haven Hospital and Section of Cardiovascular Medicine Department of Internal Medicine Yale School of Medicine New Haven, Connecticut
| | - Daisy S Massey
- Center for Outcomes Research and Evaluation Yale New Haven Hospital New Haven, Connecticut
| | - Rezwan Ahmed
- Clinical Department Boston Scientific Corporation St. Paul, Minnesota
| | - Eric M Bader
- Section of Cardiovascular Medicine Department of Internal Medicine Yale School of Medicine New Haven, Connecticut
| | - Harlan M Krumholz
- Center for Outcomes Research and Evaluation Yale New Haven Hospital and Section of Cardiovascular Medicine Department of Internal Medicine Yale School of Medicine, and Department of Health Policy and Management Yale School of Public Health New Haven, Connecticut
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Caraballo C, Mahajan S, Gu J, Lu Y, Spatz ES, Dreyer RP, Zhang M, Sun N, Ren Y, Zheng X, Zhao H, Lu H, Ma ZJ, Krumholz HM. Hemodynamic differences between women and men with elevated blood pressure in China: A non-invasive assessment of 45,082 adults using impedance cardiography. PLoS One 2022; 17:e0269777. [PMID: 35700163 PMCID: PMC9197037 DOI: 10.1371/journal.pone.0269777] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Accepted: 05/31/2022] [Indexed: 11/19/2022] Open
Abstract
Background Whether there are sex differences in hemodynamic profiles among people with elevated blood pressure is not well understood and could guide personalization of treatment. Methods and results We described the clinical and hemodynamic characteristics of adults with elevated blood pressure in China using impedance cardiography. We included 45,082 individuals with elevated blood pressure (defined as systolic blood pressure of ≥130 mmHg or a diastolic blood pressure of ≥80 mmHg), of which 35.2% were women. Overall, women had a higher mean systolic blood pressure than men (139.0 [±15.7] mmHg vs 136.8 [±13.8] mmHg, P<0.001), but a lower mean diastolic blood pressure (82.6 [±9.0] mmHg vs 85.6 [±8.9] mmHg, P<0.001). After adjusting for age, region, and body mass index, women <50 years old had lower systemic vascular resistance index (beta-coefficient [β] -31.7; 95% CI: -51.2, -12.2) and higher cardiac index (β 0.07; 95% CI: 0.04, 0.09) than men of their same age group, whereas among those ≥50 years old women had higher systemic vascular resistance index (β 120.4; 95% CI: 102.4, 138.5) but lower cardiac index (β -0.15; 95% CI: -0.16, -0.13). Results were consistent with a propensity score matching sensitivity analysis, although the magnitude of the SVRI difference was lower and non-significant. However, there was substantial overlap between women and men in the distribution plots of these variables, with overlapping areas ranging from 78% to 88%. Conclusions Our findings indicate that there are sex differences in hypertension phenotype, but that sex alone is insufficient to infer an individual’s profile.
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Affiliation(s)
- César Caraballo
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut, United States of America
- Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, Yale University, New Haven, Connecticut, United States of America
| | - Shiwani Mahajan
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut, United States of America
- Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, Yale University, New Haven, Connecticut, United States of America
| | - Jianlei Gu
- SJTU-Yale Joint Center for Biostatistics, School of Life Science and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Engineering Research Center for Big Data in Pediatric Precision Medicine, Shanghai, China
| | - Yuan Lu
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut, United States of America
| | - Erica S. Spatz
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut, United States of America
- Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, Yale University, New Haven, Connecticut, United States of America
| | - Rachel P. Dreyer
- Department of Emergency Medicine, Yale School of Medicine, New Haven, CT, United States of America
| | - MaoZhen Zhang
- iKang Healthcare Group, Inc., Shanghai, China
- Department of Cardiology, Xinhua Hospital Affiliated with Shanghai Jiao Tong University, Shanghai, China
| | - NingLing Sun
- Department of Hypertension at Heart Center, Peking University People’s Hospital, Beijing, China
| | - Yihong Ren
- The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Xin Zheng
- National Clinical Research Center of Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hongyu Zhao
- SJTU-Yale Joint Center for Biostatistics, School of Life Science and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
- Department of Biostatistics, School of Public Health, Yale University, New Haven, Connecticut, United States of America
| | - Hui Lu
- SJTU-Yale Joint Center for Biostatistics, School of Life Science and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
- Center for Biomedical Informatics, Shanghai Children’s Hospital, Shanghai, China
| | - Zheng J. Ma
- SJTU-Yale Joint Center for Biostatistics, School of Life Science and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
- Department of Biostatistics, School of Public Health, Yale University, New Haven, Connecticut, United States of America
- Beijing Li-Heng Medical Technologies, Ltd, Beijing, China
| | - Harlan M. Krumholz
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut, United States of America
- Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, Yale University, New Haven, Connecticut, United States of America
- Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut, United States of America
- * E-mail:
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Kaushal M, Shukla A, Mahajan S. P-209 Management of insulinoma, changing trends in developing world. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.04.299] [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] Open
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26
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Pande M, Tyagi S, Kumar S, Soni YK, Chand N, Sirohi AS, Sarika EY, Devi I, Mahajan S. Effects of unconjugated gold, silver and titanium dioxide nanoparticles on bovine spermatozoa at various stages of cryopreservation. Cryo Letters 2022; 43:150-157. [PMID: 36626139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
BACKGROUND The increasing use of nanoparticles (NP) for gender-selected spermatozoa, sperm-enriched semen and novel extenders raises the concern of undesirable effects on fertility and sperm function. OBJECTIVE To investigate the effects of gold (Au-), silver (Ag-), and titanium dioxide (TiO2-) NPs on the motility and sperm functions in bovine spermatozoa at various stages of cryopreservation. MATERIALS AND METHODS Frieswal (Sahiwal × Holstein Friesian) bull semen ejaculates (N = 24) were challenged with unconjugated and ligand-free Au-, Ag-, and TiO2-NPs. RESULTS At post-dilution (fresh) stage, there was no significant difference observed in progressive motility and viability amongst the control and any nanoparticle-treated groups, though plasma membrane integrity was significantly reduced in nanoparticle-treated groups (p < 0.05). The acrosome intactness was also significantly reduced in the groups of Ag-NP and TiO2 -NP (p < 0.05), while there was no effect observed in the Au-NP group. At post-equilibration stage, a significant reduction in motility, viability, and plasma membrane integrity was observed in all three nanoparticle-treated groups (p < 0.05). There was no difference in intact acrosome between the control and Au-NPs groups; which was significantly higher than the Ag-NP and TiO2 -NP groups (p < 0.05). At post-thaw stage, all NP groups resulted in a significant reduction of motility, viability, acrosome intactness and plasma membrane integrity (p < 0.05). Besides, TiO2-NPs appear to be significant more toxic (p < 0.05) among three NP groups, and Au-NPs appear to be lesser toxic. CONCLUSION Bovine spermatozoa are adversely affected by Au-, Ag- and TiO2 -NPs that may impair sperm motility and other functions. doi.org/10.54680/fr22310110512.
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Affiliation(s)
- M Pande
- Semen Freezing Laboratory, Division of Cattle Physiology and Reproduction, ICAR-Central Institute for Research on Cattle, Meerut, Uttar Pradesh, India.
| | - S Tyagi
- Semen Freezing Laboratory, Division of Cattle Physiology and Reproduction, ICAR-Central Institute for Research on Cattle, Meerut, Uttar Pradesh, India.
| | - S Kumar
- Animal Physiology Laboratory, Division of Cattle Physiology and Reproduction, ICAR-Central Institute for Research on Cattle, Meerut, Uttar Pradesh, India
| | - Y K Soni
- Animal Physiology and Reproduction Section, ICAR-Central Institute for Research on Goats (ICAR-CIRG), Makhdoom, Farah, Uttar Pradesh, India
| | - N Chand
- Semen Freezing Laboratory, Division of Cattle Physiology and Reproduction, ICAR-Central Institute for Research on Cattle, Meerut, Uttar Pradesh, India
| | - A S Sirohi
- Semen Freezing Laboratory, Division of Cattle Physiology and Reproduction, ICAR-Central Institute for Research on Cattle, Meerut, Uttar Pradesh, India
| | - EmptyYN Y Sarika
- Semen Freezing Laboratory, Division of Cattle Physiology and Reproduction, ICAR-Central Institute for Research on Cattle, Meerut, Uttar Pradesh, India
| | - I Devi
- Division of Cattle Nutrition and Management, ICAR-Central Institute for Research on Cattle, Meerut, Uttar Pradesh, India
| | - S Mahajan
- Semen Freezing Laboratory, Division of Cattle Physiology and Reproduction, ICAR-Central Institute for Research on Cattle, Meerut, Uttar Pradesh, India
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Abou Ziki MD, Annapureddy A, Hurley N, Mahajan S, Murugiah K, Huang C, Caraballo C, Khera R, Ranasinghe I, Curtis JP, Rumsfeld J, Masoudi FA, Mortazavi B, Krumholz HM. PO-669-03 MACHINE LEARNING BASED ONE-YEAR MORTALITY PREDICTION IN PATIENTS UNDERGOING PRIMARY PREVENTION CARDIOVERTER DEFIBRILLATOR IMPLANTATION: A RETROSPECTIVE COHORT STUDY. Heart Rhythm 2022. [DOI: 10.1016/j.hrthm.2022.03.398] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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28
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Caraballo C, Mahajan S, Valero-Elizondo J, Massey D, Lu Y, Roy B, Riley C, Annapureddy AR, Murugiah K, Elumn J, Nasir K, Nunez-Smith M, Forman HP, Jackson CL, Herrin J, Krumholz HM. Evaluation of Temporal Trends in Racial and Ethnic Disparities in Sleep Duration Among US Adults, 2004-2018. JAMA Netw Open 2022; 5:e226385. [PMID: 35389500 PMCID: PMC8990329 DOI: 10.1001/jamanetworkopen.2022.6385] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
IMPORTANCE Historically marginalized racial and ethnic groups are generally more likely to experience sleep deficiencies. It is unclear how these sleep duration disparities have changed during recent years. OBJECTIVE To evaluate 15-year trends in racial and ethnic differences in self-reported sleep duration among adults in the US. DESIGN, SETTING, AND PARTICIPANTS This serial cross-sectional study used US population-based National Health Interview Survey data collected from 2004 to 2018. A total of 429 195 noninstitutionalized adults were included in the analysis, which was performed from July 26, 2021, to February 10, 2022. EXPOSURES Self-reported race, ethnicity, household income, and sex. MAIN OUTCOMES AND MEASURES Temporal trends and racial and ethnic differences in short (<7 hours in 24 hours) and long (>9 hours in 24 hours) sleep duration and racial and ethnic differences in the association between sleep duration and age. RESULTS The study sample consisted of 429 195 individuals (median [IQR] age, 46 [31-60] years; 51.7% women), of whom 5.1% identified as Asian, 11.8% identified as Black, 14.7% identified as Hispanic or Latino, and 68.5% identified as White. In 2004, the adjusted estimated prevalence of short and long sleep duration were 31.4% and 2.5%, respectively, among Asian individuals; 35.3% and 6.4%, respectively, among Black individuals; 27.0% and 4.6%, respectively, among Hispanic or Latino individuals; and 27.8% and 3.5%, respectively, among White individuals. During the study period, there was a significant increase in short sleep prevalence among Black (6.39 [95% CI, 3.32-9.46] percentage points), Hispanic or Latino (6.61 [95% CI, 4.03-9.20] percentage points), and White (3.22 [95% CI, 2.06-4.38] percentage points) individuals (P < .001 for each), whereas prevalence of long sleep changed significantly only among Hispanic or Latino individuals (-1.42 [95% CI, -2.52 to -0.32] percentage points; P = .01). In 2018, compared with White individuals, short sleep prevalence among Black and Hispanic or Latino individuals was higher by 10.68 (95% CI, 8.12-13.24; P < .001) and 2.44 (95% CI, 0.23-4.65; P = .03) percentage points, respectively, and long sleep prevalence was higher only among Black individuals (1.44 [95% CI, 0.39-2.48] percentage points; P = .007). The short sleep disparities were greatest among women and among those with middle or high household income. In addition, across age groups, Black individuals had a higher short and long sleep duration prevalence compared with White individuals of the same age. CONCLUSIONS AND RELEVANCE The findings of this cross-sectional study suggest that from 2004 to 2018, the prevalence of short and long sleep duration was persistently higher among Black individuals in the US. The disparities in short sleep duration appear to be highest among women, individuals who had middle or high income, and young or middle-aged adults, which may be associated with health disparities.
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Affiliation(s)
- César Caraballo
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Shiwani Mahajan
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut
- Section of General Internal Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Javier Valero-Elizondo
- Division of Cardiovascular Prevention and Wellness, Houston Methodist DeBakey Heart and Vascular Center, Houston, Texas
- Center for Outcomes Research, Houston Methodist Research Institute, Houston, Texas
| | - Daisy Massey
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut
| | - Yuan Lu
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Brita Roy
- Section of General Internal Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut
| | - Carley Riley
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio
- Division of Critical Care Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | - Amarnath R. Annapureddy
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Karthik Murugiah
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Johanna Elumn
- SEICHE Center for Health and Justice, Section of General Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Khurram Nasir
- Division of Cardiovascular Prevention and Wellness, Houston Methodist DeBakey Heart and Vascular Center, Houston, Texas
- Center for Outcomes Research, Houston Methodist Research Institute, Houston, Texas
| | - Marcella Nunez-Smith
- Equity Research and Innovation Center, Section of General Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Howard P. Forman
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut
| | - Chandra L. Jackson
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina
- Intramural Program, National Institute on Minority Health and Health Disparities, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland
| | - Jeph Herrin
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Harlan M. Krumholz
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
- Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut
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Acquah I, Hagan K, Valero-Elizondo J, Javed Z, Butt SA, Mahajan S, Taha MB, Hyder AA, Mossialos E, Cainzos-Achirica M, Nasir K. Delayed medical care due to transportation barriers among adults with atherosclerotic cardiovascular disease. Am Heart J 2022; 245:60-69. [PMID: 34902312 DOI: 10.1016/j.ahj.2021.11.019] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 11/06/2021] [Accepted: 11/19/2021] [Indexed: 01/09/2023]
Abstract
BACKGROUND In patients with atherosclerotic cardiovascular disease (ASCVD), barriers related to transportation may impair access to care, with potential implications for prognosis. Although few studies have explored transportation barriers among patients with ASCVD, the correlates of delayed care due to transportation barriers have not been examined in this population. We aimed to examine this in U.S. patients with ASCVD using nationally representative data. METHODS Using data from the 2009-2018 National Health Interview Survey, we estimated the self-reported prevalence of delayed medical care due to transportation barriers among adults with ASCVD, overall and by sociodemographic characteristics. Logistic regression was used to examine the association between various sociodemographic characteristics and delayed care due to transportation barriers. RESULTS Among adults with ASCVD, 4.5% (95% CI; 4.2, 4.8) or ∼876,000 annually reported delayed care due to transportation barriers. Income (low-income: odds ratio [OR] 4.43, 95% CI [3.04, 6.46]; lowest-income: OR 6.35, 95% CI [4.36, 9.23]) and Medicaid insurance (OR 4.53; 95% CI [3.27, 6.29]) were strongly associated with delayed care due to transportation barriers. Additionally, younger individuals, women, non-Hispanic Black adults, and those from the U.S. South or Midwest, had higher odds of reporting delayed care due to transportation barriers. CONCLUSIONS Approximately 5% of adults with ASCVD experience delayed care due to transportation barriers. Vulnerable groups include young adults, women, low-income people, and those with public/no insurance. Future studies should analyze the feasibility and potential benefits of interventions such as use of telehealth, mobile clinics, and provision of transportation among patients with ASCVD in the U.S.
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Affiliation(s)
- Isaac Acquah
- Center for Outcomes Research, Houston Methodist, Houston, TX
| | - Kobina Hagan
- Center for Outcomes Research, Houston Methodist, Houston, TX
| | - Javier Valero-Elizondo
- Center for Outcomes Research, Houston Methodist, Houston, TX; Division for Cardiovascular Prevention and Wellness, Department of Cardiology, Houston Methodist DeBakey Heart and Vascular Center, Houston, TX
| | | | - Sara Ayaz Butt
- Center for Outcomes Research, Houston Methodist, Houston, TX
| | - Shiwani Mahajan
- The Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT; Department of Internal Medicine, Yale School of Medicine, New Haven, CT
| | - Mohamad Badie Taha
- Department of Medicine, University of Florida College of Medicine, Gainesville, FL
| | - Adnan A Hyder
- Center on Commercial Determinants of Health, Milken Institute School of Public Health, The George Washington University, Washington, DC
| | - Elias Mossialos
- Department of Health Policy, London School of Economics and Political Science, London, UK
| | - Miguel Cainzos-Achirica
- Center for Outcomes Research, Houston Methodist, Houston, TX; Division for Cardiovascular Prevention and Wellness, Department of Cardiology, Houston Methodist DeBakey Heart and Vascular Center, Houston, TX
| | - Khurram Nasir
- Center for Outcomes Research, Houston Methodist, Houston, TX; Division for Cardiovascular Prevention and Wellness, Department of Cardiology, Houston Methodist DeBakey Heart and Vascular Center, Houston, TX.
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Chang R, Javed Z, Taha M, Yahya T, Valero-Elizondo J, Brandt EJ, Cainzos-Achirica M, Mahajan S, Ali HJ, Nasir K. Food insecurity and cardiovascular disease: Current trends and future directions. Am J Prev Cardiol 2022; 9:100303. [PMID: 34988538 PMCID: PMC8702994 DOI: 10.1016/j.ajpc.2021.100303] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 11/20/2021] [Accepted: 12/07/2021] [Indexed: 11/24/2022] Open
Abstract
Food insecurity (FI) - a state of limited access to nutritionally adequate food - is notably more prominent among patients with cardiovascular disease (CVD) than the general population. Current research suggests that FI increases the risk of cardiovascular morbidity and mortality through various behavioral and biological pathways. Importantly, FI is more prevalent among low-income households and disproportionately affects households with children, particularly those led by single mothers. These disparities necessitate solutions specifically geared towards helping these high-risk subgroups, who also experience increased risk of CVD associated with FI. Further, individuals with CVD may experience increased risk of FI due to the financial burden imposed by CVD care. While participation in federal aid programs like the Supplemental Nutrition Assistance Program and the Special Supplemental Nutrition Program for Women, Infants, and Children has been associated with cardiovascular health benefits, residual FI and lower dietary quality among many families suggest a need for better outreach and expanded public assistance programs. Healthcare systems and community organizations can play a vital role in screening individuals for FI and connecting them with food and educational resources. While further research is needed to evaluate sociodemographic differences in the FI-CVD relationship, interventions at the policy, health system, and community levels can help address both the burden of FI and its impacts on cardiovascular health.
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Affiliation(s)
- Ryan Chang
- Washington University in St. Louis, St. Louis, MO, USA
- Division of Health Equity and Disparities Research, Center for Outcomes Research, Houston Methodist, Houston, TX, USA
| | - Zulqarnain Javed
- Division of Health Equity and Disparities Research, Center for Outcomes Research, Houston Methodist, Houston, TX, USA
| | - Mohamad Taha
- Division of Cardiovascular Prevention and Wellness, Department of Cardiology, Houston Methodist DeBakey Heart & Vascular Center, Houston, TX, USA
| | - Tamer Yahya
- Division of Health Equity and Disparities Research, Center for Outcomes Research, Houston Methodist, Houston, TX, USA
- Division of Cardiovascular Prevention and Wellness, Department of Cardiology, Houston Methodist DeBakey Heart & Vascular Center, Houston, TX, USA
| | - Javier Valero-Elizondo
- Division of Health Equity and Disparities Research, Center for Outcomes Research, Houston Methodist, Houston, TX, USA
- Division of Cardiovascular Prevention and Wellness, Department of Cardiology, Houston Methodist DeBakey Heart & Vascular Center, Houston, TX, USA
- Center for Cardiovascular Computational Health & Precision Medicine (C3-PH), USA
| | - Eric J. Brandt
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA
- Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Miguel Cainzos-Achirica
- Division of Health Equity and Disparities Research, Center for Outcomes Research, Houston Methodist, Houston, TX, USA
- Division of Cardiovascular Prevention and Wellness, Department of Cardiology, Houston Methodist DeBakey Heart & Vascular Center, Houston, TX, USA
- Center for Cardiovascular Computational Health & Precision Medicine (C3-PH), USA
- Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Johns Hopkins Medicine, Baltimore, MD, USA
| | - Shiwani Mahajan
- Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Hyeon-Ju Ali
- Department of Cardiology, Houston Methodist DeBakey Heart & Vascular Center, Houston, TX, USA
| | - Khurram Nasir
- Division of Health Equity and Disparities Research, Center for Outcomes Research, Houston Methodist, Houston, TX, USA
- Division of Cardiovascular Prevention and Wellness, Department of Cardiology, Houston Methodist DeBakey Heart & Vascular Center, Houston, TX, USA
- Center for Cardiovascular Computational Health & Precision Medicine (C3-PH), USA
- Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Johns Hopkins Medicine, Baltimore, MD, USA
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YADAV R, Kumar D, Sangha S, Kumar A, Bhowmik D, Mahajan S, Bagchi S, Agarwal S. POS-821 TO STUDY THE ASSOCIATION OF SERUM VITAMIN D WITH POST -TRANSPLANT DIABETES MELLITUS (PTDM) IN KIDNEY TRANSPLANT RECIPIENTS IN INDIAN SETTINGS. Kidney Int Rep 2022. [DOI: 10.1016/j.ekir.2022.01.857] [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: 11/26/2022] Open
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Javed Z, Valero-Elizondo J, Maqsood MH, Mahajan S, Taha MB, Patel KV, Sharma G, Hagan K, Blaha MJ, Blankstein R, Mossialos E, Virani SS, Cainzos-Achirica M, Nasir K. Social determinants of health and obesity: Findings from a national study of US adults. Obesity (Silver Spring) 2022; 30:491-502. [PMID: 35088551 DOI: 10.1002/oby.23336] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [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: 07/29/2021] [Revised: 10/06/2021] [Accepted: 10/16/2021] [Indexed: 11/09/2022]
Abstract
OBJECTIVE This study examined the association between social determinants of health (SDOH) burden and overweight/obesity in a nationally representative sample of adults in the United States. METHODS Data for 161,795 adults aged ≥18 years from the 2013 to 2017 National Health Interview Survey were used. A total of 38 SDOH were aggregated to create a cumulative SDOH score, which was divided into quartiles (Q1-Q4) to denote levels of SDOH burden. Prevalence of overweight and obesity was examined across SDOH quartiles in the total population and by age, sex, and race/ethnicity. Multinomial logistic regression models were used to analyze the association between SDOH quartiles and overweight/obesity, adjusting for relevant covariates. RESULTS There was a graded increase in obesity prevalence with increasing SDOH burden. At nearly each quartile, overweight and obesity rates were higher for middle-aged and non-Hispanic Black adults compared with their counterparts; additional differences were observed by sex. In fully adjusted models, SDOH-Q4 was associated with 15%, 50%, and 70% higher relative prevalence of overweight, obesity class 1 and 2, and obesity class 3, respectively, relative to SDOH-Q1. CONCLUSIONS Cumulative social disadvantage, denoted by higher SDOH burden, was associated with increased odds of obesity, independent of clinical and demographic factors.
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Affiliation(s)
- Zulqarnain Javed
- Division of Health Equity & Disparities Research, Center for Outcomes Research, Houston Methodist, Houston, Texas, USA
| | - Javier Valero-Elizondo
- Division of Health Equity & Disparities Research, Center for Outcomes Research, Houston Methodist, Houston, Texas, USA
- Division of Cardiovascular Prevention and Wellness, DeBakey Heart and Vascular Center, Houston Methodist, Houston, Texas, USA
- Center for Cardiovascular Computational Health & Precision Medicine (C3-PH), Houston Methodist, Houston, Texas, USA
| | | | - Shiwani Mahajan
- Department of Internal Medicine, Yale School of Medicine, Yale University, New Haven, Connecticut, USA
| | - Mohamad B Taha
- Division of Cardiovascular Prevention and Wellness, DeBakey Heart and Vascular Center, Houston Methodist, Houston, Texas, USA
| | - Kershaw V Patel
- Division of Cardiovascular Prevention and Wellness, DeBakey Heart and Vascular Center, Houston Methodist, Houston, Texas, USA
| | - Garima Sharma
- Division of Cardiology, Ciccarone Center for Prevention of Cardiovascular Disease, The Johns Hopkins University School of Medicine, The John Hopkins University, Baltimore, Maryland, USA
| | - Kobina Hagan
- Division of Health Equity & Disparities Research, Center for Outcomes Research, Houston Methodist, Houston, Texas, USA
| | - Michael J Blaha
- Division of Cardiology, Ciccarone Center for Prevention of Cardiovascular Disease, The Johns Hopkins University School of Medicine, The John Hopkins University, Baltimore, Maryland, USA
| | - Ron Blankstein
- Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Harvard University, Boston, Massachusetts, USA
| | - Elias Mossialos
- Department of Health Policy, London School of Economics, London, UK
| | - Salim S Virani
- Health Policy, Quality & Informatics Program, Health Services Research & Development Center for Innovations in Quality, Effectiveness, and Safety, Michael E. DeBakey VA Medical Center, Houston, Texas, USA
- Department of Medicine, Section of Cardiology, Baylor College of Medicine, Houston, Texas, USA
- Section of Cardiology, Health Services Research and Development, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas, USA
| | - Miguel Cainzos-Achirica
- Division of Health Equity & Disparities Research, Center for Outcomes Research, Houston Methodist, Houston, Texas, USA
- Division of Cardiovascular Prevention and Wellness, DeBakey Heart and Vascular Center, Houston Methodist, Houston, Texas, USA
- Center for Cardiovascular Computational Health & Precision Medicine (C3-PH), Houston Methodist, Houston, Texas, USA
| | - Khurram Nasir
- Division of Health Equity & Disparities Research, Center for Outcomes Research, Houston Methodist, Houston, Texas, USA
- Division of Cardiovascular Prevention and Wellness, DeBakey Heart and Vascular Center, Houston Methodist, Houston, Texas, USA
- Center for Cardiovascular Computational Health & Precision Medicine (C3-PH), Houston Methodist, Houston, Texas, USA
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Lu Y, Jones PW, Murugiah K, Caraballo C, Massey DS, Mahajan S, Ahmed R, Bader EM, Krumholz HM. Physical Activity Among Patients With Intracardiac Remote Monitoring Devices Before, During, and After COVID-19-Related Restrictions. J Am Coll Cardiol 2022; 79:309-310. [PMID: 35057917 PMCID: PMC8763290 DOI: 10.1016/j.jacc.2021.11.010] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [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] [Received: 09/06/2021] [Revised: 11/12/2021] [Accepted: 11/16/2021] [Indexed: 01/27/2023]
Affiliation(s)
| | | | | | | | | | | | | | | | - Harlan M. Krumholz
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, 195 Church Street, 5th Floor, New Haven, Connecticut 06510, USA
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Sharma G, Grandhi GR, Acquah I, Mszar R, Mahajan S, Khan SU, Javed Z, Mehta LS, Gulati M, Cainzos-Achirica M, Blumenthal RS, Nasir K. Social Determinants of Suboptimal Cardiovascular Health Among Pregnant Women in the United States. J Am Heart Assoc 2022; 11:e022837. [PMID: 35014862 PMCID: PMC9238529 DOI: 10.1161/jaha.121.022837] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Background Suboptimal cardiovascular health (CVH) and social determinants of health (SDOH) have a significant impact on maternal morbidity and mortality. We aimed to evaluate the association of SDOH with suboptimal CVH among pregnant women in the United States. Methods and Results We examined cross‐sectional data of pregnant women aged 18 to 49 years from the National Health Interview Survey (2013–2017). We ascertained optimal and suboptimal CVH based on the presence of 0 to 1 and ≥2 risk factors (hypertension, diabetes, hyperlipidemia, current smoking, obesity, and insufficient physical activity), respectively. We calculated an aggregate SDOH score representing 38 variables from 6 domains (economic stability; neighborhood, physical environment, and social cohesion; community and social context; food; education; and healthcare system) and divided into quartiles. We used Poisson regression model to evaluate the association of SDOH with suboptimal CVH and risk factors. Our study included 1433 pregnant women (28.8±5.5 years, 13% non‐Hispanic Black). Overall, 38.4% (95% CI, 33.9–43.0) had suboptimal CVH versus 51.7% (95% CI, 47.0–56.3) among those in the fourth SDOH quartile. Risk ratios of suboptimal CVH, smoking, obesity, and insufficient physical activity were 2.05 (95% CI, 1.46–2.88), 8.37 (95% CI, 3.00–23.43), 1.54 (95% CI, 1.17–2.03), and 1.19 (95% CI, 1.01–1.42), respectively among those in the fourth SDOH quartile compared with the first quartile. Conclusions Over 50% of pregnant women with the highest SDOH burden had suboptimal CVH, highlighting the public health urgency for interventions in socially disadvantaged pregnant women with renewed strategies toward improving modifiable risk factors, especially smoking and insufficient physical activity.
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Affiliation(s)
- Garima Sharma
- Ciccarone Center for the Prevention of Cardiovascular Disease Johns Hopkins University School of Medicine Baltimore MD
| | | | - Isaac Acquah
- Division of Health Equity and Disparities Research Center for Outcomes Research The Houston Methodist Research Institute Houston TX
| | - Reed Mszar
- Center for Outcomes Research and EvaluationYale New Haven Health New Haven CT.,Section of Cardiovascular Medicine Department of Internal Medicine Yale School of Medicine New Haven CT
| | - Shiwani Mahajan
- Center for Outcomes Research and EvaluationYale New Haven Health New Haven CT.,Section of Cardiovascular Medicine Department of Internal Medicine Yale School of Medicine New Haven CT
| | - Safi U Khan
- Department of Medicine West Virginia University Morgantown WV
| | - Zulqarnain Javed
- Division of Health Equity and Disparities Research Center for Outcomes Research The Houston Methodist Research Institute Houston TX
| | - Laxmi S Mehta
- Division of Cardiology Department of Medicine The Ohio State University Wexner Medical Center Columbus OH
| | - Martha Gulati
- Division of Cardiology Department of Medicine University of Arizona Phoenix AZ
| | - Miguel Cainzos-Achirica
- Division of Health Equity and Disparities Research Center for Outcomes Research The Houston Methodist Research Institute Houston TX.,Division of Cardiovascular Prevention and Wellness Department of Cardiovascular Medicine Houston Methodist DeBakey Heart & Vascular Center Houston TX
| | - Roger S Blumenthal
- Ciccarone Center for the Prevention of Cardiovascular Disease Johns Hopkins University School of Medicine Baltimore MD
| | - Khurram Nasir
- Division of Health Equity and Disparities Research Center for Outcomes Research The Houston Methodist Research Institute Houston TX.,Division of Cardiovascular Prevention and Wellness Department of Cardiovascular Medicine Houston Methodist DeBakey Heart & Vascular Center Houston TX.,Center for Cardiovascular Computational & Precision Health (C3-PH) Department of Cardiovascular Medicine Houston Methodist DeBakey Heart & Vascular Center Houston TX
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Lindero-Hernández M, Salazar-Cravioto H, Tejeda-Nuñez E, Nieto-Perez M, Mahajan S, Kotschenreuther M, Valanju P. Evaluation of thorium-based nuclear fuel breeding performance of a fast neutron irradiator based on a low-aspect ratio tokamak. Fusion Engineering and Design 2021. [DOI: 10.1016/j.fusengdes.2021.112842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Chander V, Sharma GK, Bhatt M, Nandi S, Mahajan S, Singh M, Mahendran K, Karikalan M, Pawde AM, Gupta V, Singh KP, Rajak KK, Gupta VK, Singh RK. Isolation and genetic characterization of canine adenovirus type 2 from a domestic dog showing neurological symptoms. Braz J Microbiol 2021; 52:2521-2528. [PMID: 34128211 PMCID: PMC8203211 DOI: 10.1007/s42770-021-00540-0] [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] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Accepted: 06/07/2021] [Indexed: 11/04/2022] Open
Abstract
Canine adenoviruses (CAVs) are of two types: canine adenovirus type 1 (CAV-1), which causes infectious canine hepatitis, and canine adenovirus type 2 (CAV-2), which is mainly associated with the respiratory type of disease in dogs. Due to the widespread use of modified live vaccines to control canine adenoviral infections and subsequently reduced disease incidence, CAVs are often neglected by clinicians. Although a number of studies are available about CAV-1 prevalence in India, only meagre information is available about CAV-2. This study reports the CAV-2 infection in a vaccinated dog with neurological and respiratory symptoms which was found negative for other canine pathogens like canine distemper virus and canine parvovirus. The virus was successfully isolated from rectal swab in MDCK cells and characterized by immunofluorescence assay and virus neutralization test. On phylogenetic analysis of partial E3 region, the Indian CAV-2 grouped in a separate clade different from established subgroups. An insertion of "G" nucleotide was reported at nucleotide (nt.) position 1077 in the E3 gene of Indian CAV-2 isolates which led to a frameshift in the coding region of E3 gene thereby imparting additional eleven amino acids to its C-terminal end in comparison to isolates from other parts of the world. This may have an implication on the functional role of E3 protein inside the cell. This study reinforces the unique signature insertion in the E3 gene of Indian CAV-2 and is the second study in the world to report the association of CAV-2 with neurological disease in dogs.
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Affiliation(s)
- Vishal Chander
- Virology Laboratory, Centre for Animal Disease Research and Diagnosis (CADRAD), ICAR-Indian Veterinary Research Institute (IVRI), Izatnagar, Bareilly, Uttar Pradesh, 243122, India.
| | - G K Sharma
- Virology Laboratory, Centre for Animal Disease Research and Diagnosis (CADRAD), ICAR-Indian Veterinary Research Institute (IVRI), Izatnagar, Bareilly, Uttar Pradesh, 243122, India
| | - Mukesh Bhatt
- ICAR Research Complex for NEH Region, Sikkim Centre, Tadong, Gangtok, Sikkim, 737102, India
| | - Sukdeb Nandi
- Virology Laboratory, Centre for Animal Disease Research and Diagnosis (CADRAD), ICAR-Indian Veterinary Research Institute (IVRI), Izatnagar, Bareilly, Uttar Pradesh, 243122, India
| | - S Mahajan
- Division of Veterinary Biotechnology, ICAR-IVRI, Izatnagar, Bareilly, Uttar Pradesh, 243122, India
| | - Mithilesh Singh
- Immunology Section, ICAR-IVRI, Izatnagar, Bareilly, Uttar Pradesh, 243122, India
| | - K Mahendran
- Referral Veterinary Polyclinic, ICAR-IVRI, Izatnagar, Bareilly, Uttar Pradesh, 243122, India
| | - M Karikalan
- Centre for Wildlife, ICAR-IVRI, Izatnagar, Bareilly, Uttar Pradesh, 243122, India
| | - Abhijit M Pawde
- Division of Veterinary Surgery, ICAR-IVRI, Izatnagar, Bareilly, Uttar Pradesh, 243122, India
| | - Vikas Gupta
- CCS National Institute of Animal Health, Baghpat, Uttar Pradesh, 250609, India
| | - K P Singh
- Pathology Laboratory, CADRAD, ICAR-IVRI, Izatnagar, Bareilly, Uttar Pradesh, 243122, India
| | - K K Rajak
- Divison of Biological Products, ICAR-IVRI, Izatnagar, Bareilly, Uttar Pradesh, 243122, India
| | - V K Gupta
- CADRAD, ICAR-IVRI, Izatnagar, Bareilly, Uttar Pradesh, 243122, India.
| | - R K Singh
- ICAR-IVRI, Izatnagar, Bareilly, Uttar Pradesh, 243122, India
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Lu Y, Liu Y, Dhingra LS, Massey D, Caraballo C, Mahajan S, Spatz ES, Onuma O, Herrin J, Krumholz HM. National Trends in Racial and Ethnic Disparities in Antihypertensive Medication Use and Blood Pressure Control Among Adults With Hypertension, 2011-2018. Hypertension 2021; 79:207-217. [PMID: 34775785 DOI: 10.1161/hypertensionaha.121.18381] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Poor hypertension awareness and underuse of guideline-recommended medications are critical factors contributing to poor hypertension control. Using data from 8095 hypertensive people aged ≥18 years from the National Health and Nutrition Examination Survey (2011-2018), we examined recent trends in racial and ethnic differences in awareness and antihypertensive medication use, and their association with racial and ethnic differences in hypertension control. Between 2011 and 2018, age-adjusted hypertension awareness declined for Black, Hispanic, and White individuals, but the 3 outcomes increased or did not change for Asian individuals. Compared with White individuals, Black individuals had a similar awareness (odds ratio, 1.20 [0.96-1.45]) and overall treatment rates (1.04 [0.84-1.25]), and received more intensive antihypertensive medication if treated (1.41 [1.27-1.56]), but had a lower control rate (0.72 [0.61-0.83]). Asian and Hispanic individuals had significantly lower awareness rates (0.69 [0.52-0.85] and 0.74 [0.59-0.89]), overall treatment rates (0.72 [0.57-0.88] and 0.69 [0.55-0.82]), received less intensive medication if treated (0.60 [0.50-0.72] and 0.86 [0.75-0.96]), and had lower control rates (0.66 [0.54-0.79] and 0.69 [0.57-0.81]). The racial and ethnic differences in awareness, treatment, and control persisted over the study period and were consistent across age, sex, and income strata. Lower awareness and treatment were significantly associated with lower control in Asian and Hispanic individuals (P<0.01 for all) but not in Black individuals. These findings highlight the need for interventions to improve awareness and treatment among Asian and Hispanic individuals, and more investigation into the downstream factors that may contribute to the poor hypertension control among Black individuals.
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Affiliation(s)
- Yuan Lu
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT (Y. Lu, Y. Liu, L.S.D., D.M., C.C., S.M., E.S.S., O.O., H.M.K.).,Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT (Y. Lu, Y. Liu, L.S.D., D.M., C.C., S.M., E.S.S., O.O., J.H., H.M.K.)
| | - Yuntian Liu
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT (Y. Lu, Y. Liu, L.S.D., D.M., C.C., S.M., E.S.S., O.O., H.M.K.).,Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT (Y. Lu, Y. Liu, L.S.D., D.M., C.C., S.M., E.S.S., O.O., J.H., H.M.K.)
| | - Lovedeep Singh Dhingra
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT (Y. Lu, Y. Liu, L.S.D., D.M., C.C., S.M., E.S.S., O.O., H.M.K.).,Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT (Y. Lu, Y. Liu, L.S.D., D.M., C.C., S.M., E.S.S., O.O., J.H., H.M.K.)
| | - Daisy Massey
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT (Y. Lu, Y. Liu, L.S.D., D.M., C.C., S.M., E.S.S., O.O., H.M.K.).,Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT (Y. Lu, Y. Liu, L.S.D., D.M., C.C., S.M., E.S.S., O.O., J.H., H.M.K.)
| | - César Caraballo
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT (Y. Lu, Y. Liu, L.S.D., D.M., C.C., S.M., E.S.S., O.O., H.M.K.).,Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT (Y. Lu, Y. Liu, L.S.D., D.M., C.C., S.M., E.S.S., O.O., J.H., H.M.K.)
| | - Shiwani Mahajan
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT (Y. Lu, Y. Liu, L.S.D., D.M., C.C., S.M., E.S.S., O.O., H.M.K.).,Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT (Y. Lu, Y. Liu, L.S.D., D.M., C.C., S.M., E.S.S., O.O., J.H., H.M.K.)
| | - Erica S Spatz
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT (Y. Lu, Y. Liu, L.S.D., D.M., C.C., S.M., E.S.S., O.O., H.M.K.).,Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT (Y. Lu, Y. Liu, L.S.D., D.M., C.C., S.M., E.S.S., O.O., J.H., H.M.K.).,Department of Epidemiology (Chronic Disease), Yale School of Public Health, New Haven CT (E.S.S)
| | - Oyere Onuma
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT (Y. Lu, Y. Liu, L.S.D., D.M., C.C., S.M., E.S.S., O.O., H.M.K.).,Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT (Y. Lu, Y. Liu, L.S.D., D.M., C.C., S.M., E.S.S., O.O., J.H., H.M.K.)
| | - Jeph Herrin
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT (Y. Lu, Y. Liu, L.S.D., D.M., C.C., S.M., E.S.S., O.O., H.M.K.).,Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT (Y. Lu, Y. Liu, L.S.D., D.M., C.C., S.M., E.S.S., O.O., J.H., H.M.K.)
| | - Harlan M Krumholz
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT (Y. Lu, Y. Liu, L.S.D., D.M., C.C., S.M., E.S.S., O.O., H.M.K.).,Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT (Y. Lu, Y. Liu, L.S.D., D.M., C.C., S.M., E.S.S., O.O., J.H., H.M.K.).,Department of Health Policy and Management, Yale School of Public Health, New Haven, CT (H.M.K.)
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Aedma S, Gupta R, Mahajan S, Mahajan P, Patel M, Malik A, Naik A, Mehta S, Patel NC. Transcatheter aortic valve implantation outcomes compared between bicuspid aortic and tricuspid aortic valve stenosis: an updated systematic review and meta-analysis. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.2225] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Background
TAVI has emerged as an attractive treatment modality based on promising recent trial data. Patients with BAV, a commonly encountered clinical condition have largely been excluded from a majority of trials.
Purpose
Elderly patients with BAV and severe AS are increasingly encountered in clinical practice. This meta-analysis compares clinical outcomes between bicuspid and tricuspid AV patients to address the current knowledge-gap and identify optimal management strategies of these patients.
Methods
A comprehensive literature search was performed in PubMed, Embase, and Cochrane to identify the available observational studies comparing outcomes of TAVI in BAV and TAV patients. Summary effects were calculated using a DerSimonian and Laird random-effects model as odds ratio with 95% confidence intervals for all the clinical endpoints.
Results
16 Observational studies met inclusion criteria, comprising 10,053 patients with BAV and 173,307 patients with TAV that underwent TAVI. No significant differences in 30-day and long-term mortality rates were observed. Patients with BAV had an increased risk of stroke (OR 1.23; 95% CI [1.06–1.44], p=0.007), re-intervention (OR 1.90; 95% CI [1.15–3.15], p=0.01), paravalvular leak (OR 1.42; 95% CI [1.25–1.61], p<0.ehab724.22251), conversion to open surgery (OR 1.93; 95% CI [1.21–3.07], p=0.006), and new pacemaker implantation (1.57; 95% CI (1.06 - 2.33, p=0.02). Adverse event rates are lower with the use of newer generation of valves. No significant difference in major vascular complications, major bleeding, or incidence of AKI was noted.
Conclusions
Complication rates for BAV TAVI are higher, but mortality is similar to TAV TAVI indicating TAVI is an appropriate alternative for intermediate-high risk patients with BAV. A better understanding of valve anatomy, physician expertise, the use of newer-generation valves can help reduce these complications.
Funding Acknowledgement
Type of funding sources: None.
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Affiliation(s)
- S Aedma
- Carle Foundation Hospital, Internal medicine, Urbana, United States of America
| | - R Gupta
- Lehigh Valley Health Network, Cardiology, Allentown, United States of America
| | - S Mahajan
- Carle Foundation Hospital, Internal medicine, Urbana, United States of America
| | - P Mahajan
- Carle Foundation Hospital, Internal medicine, Urbana, United States of America
| | - M Patel
- Sumandeep Vidyapeeth, Vadodara, India
| | - A Malik
- New York Medical College, cardiology, Valhalla, United States of America
| | - A Naik
- Carle Foundation Hospital, Internal medicine, Urbana, United States of America
| | - S Mehta
- Carle Foundation Hospital, Internal medicine, Urbana, United States of America
| | - N C Patel
- Lehigh Valley Health Network, Cardiology, Allentown, United States of America
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Mahajan P, Mahajan S, Gupta R, Aedma S, Samala V, Malik A, Mehta S. Outcomes of permanent pacemaker insertion after TAVR: a systematic review and meta-analysis. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.2201] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background/Introduction
Conduction abnormalities are frequently encountered after transcatheter aortic valve replacement (TAVR) performed for severe aortic stenosis, leading to post-procedure permanent pacemaker (PPM) insertion. Although the predictors of- and factors leading to post-TAVR PPM have been studied extensively, its short-term and long-term outcomes have not been established.
Purpose
PPM placement can lead to significant changes in outcomes in post-TAVR patients, which remain unclear. With this analysis, we aim to evaluate the differences between outcomes of patients requiring PPM and those not requiring PPM post-TAVR.
Methods
A comprehensive literature search was performed in PubMed, EMBASE, and Cochrane to identify relevant trials. Outcomes were compared between the two groups of patients- those requiring post-TAVR PPM and those not requiring post-TAVR PPM. Summary effects were calculated using a DerSimonian and Laird random-effects model as odds ratio (OD) with 95% confidence intervals (CI) for all the clinical endpoints.
Results
34 studies, including observational and prospective studies, met our inclusion criteria, with a total of 76,402 patients undergoing TAVR and 10,381 requiring post-TAVR PPM. There were no significant differences between 30-days (OR 1.04; 95% CI 0.96–1.13) and 1-year (OR 1.09; 95% CI 0.72–1.03) all-cause mortality rates, and 30-days (OR 0.86; 95% CI 0.72–1.03) and 1-year (OR 0.85; 95% CI 0.70–1.04) cardiovascular deaths among the two groups. Incidence of heart failure was higher in the post-TAVR PPM group at 30 days (OR 1.26; 95% CI 1.05–1.51) but not at 1 year (OR 1.21; 95% CI 0.93–1.57). No significant difference was noted between the two groups in 30-days or 1-year stroke, 30-days or 1-year myocardial infarction, 30-days or 1-year atrial fibrillation, 30-days or 1-year major bleeding, or 30-days and 1-year readmission rate. Other outcomes, including post-procedure aortic regurgitation, major vascular complications, minor bleeding, valve migration, and device success, also did not have any statistically significant difference in the two patient groups (Figure 1). Of all the patients who received post-TAVR PPM, an average of 46.4% and 58.5% patients had >40% ventricular pacing, and 48.9% and 41.4% had <40% ventricular pacing at 1-month, and 1-year follow up respectively.
Conclusions
Although there were no differences in the outcomes between the two groups at 30-days and 1-year follow-ups (except the higher incidence of heart failure at 30 days in the post-TAVR PPM group), long-term follow-up studies would be needed to identify any possible adverse events after one year. Also, a significant number of patients requiring post-TAVR PPM had <40% ventricular pacing at 1-month and even at 1-year intervals, which might suggest adopting an alternate approach of closely monitoring any conduction disturbances and avoiding early PPM implantation in post-TAVR patients, if possible.
Funding Acknowledgement
Type of funding sources: None. Forest plot of differences in outcomes
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Affiliation(s)
- P Mahajan
- Carle Foundation Hospital, Internal Medicine, Urbana, United States of America
| | - S Mahajan
- Carle Foundation Hospital, Internal Medicine, Urbana, United States of America
| | - R Gupta
- Lehigh Valley Hospital, Allentown, United States of America
| | - S Aedma
- Carle Foundation Hospital, Internal Medicine, Urbana, United States of America
| | - V Samala
- Cheshire Medical Center/Dartmouth-Hitchcock, Keene, United States of America
| | - A Malik
- New York Medical College, Cardiology, Valhalla, United States of America
| | - S Mehta
- Carle Foundation Hospital, Cardiology, Urbana, United States of America
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Ding Q, Massey D, Huang C, Grady CB, Lu Y, Cohen A, Matzner P, Mahajan S, Caraballo C, Kumar N, Xue Y, Dreyer R, Roy B, Krumholz HM. Tracking Self-reported Symptoms and Medical Conditions on Social Media During the COVID-19 Pandemic: Infodemiological Study. JMIR Public Health Surveill 2021; 7:e29413. [PMID: 34517338 PMCID: PMC8480398 DOI: 10.2196/29413] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 07/06/2021] [Accepted: 08/26/2021] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Harnessing health-related data posted on social media in real time can offer insights into how the pandemic impacts the mental health and general well-being of individuals and populations over time. OBJECTIVE This study aimed to obtain information on symptoms and medical conditions self-reported by non-Twitter social media users during the COVID-19 pandemic, to determine how discussion of these symptoms and medical conditions changed over time, and to identify correlations between frequency of the top 5 commonly mentioned symptoms post and daily COVID-19 statistics (new cases, new deaths, new active cases, and new recovered cases) in the United States. METHODS We used natural language processing (NLP) algorithms to identify symptom- and medical condition-related topics being discussed on social media between June 14 and December 13, 2020. The sample posts were geotagged by NetBase, a third-party data provider. We calculated the positive predictive value and sensitivity to validate the classification of posts. We also assessed the frequency of health-related discussions on social media over time during the study period, and used Pearson correlation coefficients to identify statistically significant correlations between the frequency of the 5 most commonly mentioned symptoms and fluctuation of daily US COVID-19 statistics. RESULTS Within a total of 9,807,813 posts (nearly 70% were sourced from the United States), we identified a discussion of 120 symptom-related topics and 1542 medical condition-related topics. Our classification of the health-related posts had a positive predictive value of over 80% and an average classification rate of 92% sensitivity. The 5 most commonly mentioned symptoms on social media during the study period were anxiety (in 201,303 posts or 12.2% of the total posts mentioning symptoms), generalized pain (189,673, 11.5%), weight loss (95,793, 5.8%), fatigue (91,252, 5.5%), and coughing (86,235, 5.2%). The 5 most discussed medical conditions were COVID-19 (in 5,420,276 posts or 66.4% of the total posts mentioning medical conditions), unspecified infectious disease (469,356, 5.8%), influenza (270,166, 3.3%), unspecified disorders of the central nervous system (253,407, 3.1%), and depression (151,752, 1.9%). Changes in posts in the frequency of anxiety, generalized pain, and weight loss were significant but negatively correlated with daily new COVID-19 cases in the United States (r=-0.49, r=-0.46, and r=-0.39, respectively; P<.05). Posts on the frequency of anxiety, generalized pain, weight loss, fatigue, and the changes in fatigue positively and significantly correlated with daily changes in both new deaths and new active cases in the United States (r ranged=0.39-0.48; P<.05). CONCLUSIONS COVID-19 and symptoms of anxiety were the 2 most commonly discussed health-related topics on social media from June 14 to December 13, 2020. Real-time monitoring of social media posts on symptoms and medical conditions may help assess the population's mental health status and enhance public health surveillance for infectious disease.
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Affiliation(s)
- Qinglan Ding
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, United States
- College of Health and Human Sciences, Purdue University, West Lafayette, IN, United States
| | - Daisy Massey
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, United States
| | - Chenxi Huang
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, United States
| | - Connor B Grady
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, United States
| | - Yuan Lu
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, United States
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, United States
| | | | | | - Shiwani Mahajan
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, United States
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, United States
| | - César Caraballo
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, United States
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, United States
| | - Navin Kumar
- Department of Sociology, Yale University, New Haven, CT, United States
- Institute for Network Science, Yale University, New Haven, CT, United States
| | - Yuchen Xue
- Foundation for a Smoke-Free World, New York, NY, United States
| | - Rachel Dreyer
- Department of Emergency Medicine, Yale School of Medicine, New Haven, CT, United States
| | - Brita Roy
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, United States
- Department of Medicine, Yale School of Medicine, New Haven, CT, United States
| | - Harlan M Krumholz
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, United States
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, United States
- Department of Health Policy and Management, Yale School of Public Health, New Haven, CT, United States
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Mahajan S, Oostvogels A, Balcioglu H, Chan A, Lo K, Hui E, Ma B, Debets R. 999P NPC patients with post-RT EBV clearance show a higher frequency of peripheral CD8 T-cells expressing chemo-attractant receptors at baseline and during radiation therapy. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.1383] [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: 12/01/2022] Open
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Gattani S, Noronha V, Castelino R, Dhekle R, Mahajan S, Daptardar A, Menon N, Patil V, Gota V, Banavali S, Prabhash K. 1705P The correlation of the ECOG performance status with vulnerabilities in the geriatric assessment: A retrospective cohort study. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.1677] [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: 10/20/2022] Open
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Karikalan M, Chander V, Mahajan S, Deol P, Agrawal RK, Nandi S, Rai SK, Mathur A, Pawde A, Singh KP, Sharma GK. Natural infection of Delta mutant of SARS-CoV-2 in Asiatic lions of India. Transbound Emerg Dis 2021; 69:3047-3055. [PMID: 34404118 PMCID: PMC8447162 DOI: 10.1111/tbed.14290] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [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: 07/08/2021] [Revised: 07/29/2021] [Accepted: 08/15/2021] [Indexed: 12/12/2022]
Abstract
The current pandemic caused by a novel coronavirus (SARS‐CoV‐2) has underlined the importance of emerging diseases of zoonotic importance. Along with human beings, several species of wild and pet animals have been demonstrated to be infected by SARS‐CoV‐2, both naturally and experimentally. In addition, with constant emergence of new variants, the species susceptibility might further change which warrants intensified screening efforts. India is a vast and second most populated country, with a habitat of a very diverse range of animal species. In this study we place on record of SARS‐CoV‐2 infections in three captive Asiatic lions. Detailed genomic characterization revealed involvement of Delta mutant (Pango lineage B.1.617.2) of SARS‐CoV‐2 at two different locations. Interestingly, no other feline species enclosed in the zoo/park were found infected. The epidemiological and molecular analysis will contribute to the understanding of the emerging mutants of SARS‐CoV‐2 in wild and domestic animals.
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Affiliation(s)
- M Karikalan
- CADRAD, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh, India
| | - V Chander
- CADRAD, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh, India
| | - S Mahajan
- CADRAD, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh, India
| | - P Deol
- CADRAD, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh, India
| | - R K Agrawal
- CADRAD, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh, India
| | - S Nandi
- CADRAD, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh, India
| | - S K Rai
- Lion Safari Park, Etawah, Uttar Pradesh, India
| | - A Mathur
- Nahargarh Biological Park, Jaipur, Rajasthan, India
| | - A Pawde
- CADRAD, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh, India
| | - K P Singh
- CADRAD, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh, India
| | - G K Sharma
- CADRAD, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh, India
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Mahajan S, Caraballo C, Lu Y, Valero-Elizondo J, Massey D, Annapureddy AR, Roy B, Riley C, Murugiah K, Onuma O, Nunez-Smith M, Forman HP, Nasir K, Herrin J, Krumholz HM. Trends in Differences in Health Status and Health Care Access and Affordability by Race and Ethnicity in the United States, 1999-2018. JAMA 2021; 326:637-648. [PMID: 34402830 PMCID: PMC8371573 DOI: 10.1001/jama.2021.9907] [Citation(s) in RCA: 90] [Impact Index Per Article: 30.0] [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: 10/29/2020] [Accepted: 06/01/2021] [Indexed: 12/17/2022]
Abstract
IMPORTANCE The elimination of racial and ethnic differences in health status and health care access is a US goal, but it is unclear whether the country has made progress over the last 2 decades. OBJECTIVE To determine 20-year trends in the racial and ethnic differences in self-reported measures of health status and health care access and affordability among adults in the US. DESIGN, SETTING, AND PARTICIPANTS Serial cross-sectional study of National Health Interview Survey data, 1999-2018, that included 596 355 adults. EXPOSURES Self-reported race, ethnicity, and income level. MAIN OUTCOMES AND MEASURES Rates and racial and ethnic differences in self-reported health status and health care access and affordability. RESULTS The study included 596 355 adults (mean [SE] age, 46.2 [0.07] years, 51.8% [SE, 0.10] women), of whom 4.7% were Asian, 11.8% were Black, 13.8% were Latino/Hispanic, and 69.7% were White. The estimated percentages of people with low income were 28.2%, 46.1%, 51.5%, and 23.9% among Asian, Black, Latino/Hispanic, and White individuals, respectively. Black individuals with low income had the highest estimated prevalence of poor or fair health status (29.1% [95% CI, 26.5%-31.7%] in 1999 and 24.9% [95% CI, 21.8%-28.3%] in 2018), while White individuals with middle and high income had the lowest (6.4% [95% CI, 5.9%-6.8%] in 1999 and 6.3% [95% CI, 5.8%-6.7%] in 2018). Black individuals had a significantly higher estimated prevalence of poor or fair health status than White individuals in 1999, regardless of income strata (P < .001 for the overall and low-income groups; P = .03 for middle and high-income group). From 1999 to 2018, racial and ethnic gaps in poor or fair health status did not change significantly, with or without income stratification, except for a significant decrease in the difference between White and Black individuals with low income (-6.7 percentage points [95% CI, -11.3 to -2.0]; P = .005); the difference in 2018 was no longer statistically significant (P = .13). Black and White individuals had the highest levels of self-reported functional limitations, which increased significantly among all groups over time. There were significant reductions in the racial and ethnic differences in some self-reported measures of health care access, but not affordability, with and without income stratification. CONCLUSIONS AND RELEVANCE In a serial cross-sectional survey study of US adults from 1999 to 2018, racial and ethnic differences in self-reported health status, access, and affordability improved in some subgroups, but largely persisted.
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Affiliation(s)
- Shiwani Mahajan
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - César Caraballo
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Yuan Lu
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Javier Valero-Elizondo
- Division of Cardiovascular Prevention and Wellness, Houston Methodist DeBakey Heart and Vascular Center, Houston, Texas
- Center for Outcomes Research, Houston Methodist Research Institute, Houston, Texas
| | - Daisy Massey
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut
| | - Amarnath R. Annapureddy
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Brita Roy
- Section of General Internal Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut
| | - Carley Riley
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio
- Division of Critical Care Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | - Karthik Murugiah
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Oyere Onuma
- Section of General Internal Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Marcella Nunez-Smith
- Equity Research and Innovation Center, Section of General Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Howard P. Forman
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut
- Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut
| | - Khurram Nasir
- Division of Cardiovascular Prevention and Wellness, Houston Methodist DeBakey Heart and Vascular Center, Houston, Texas
- Center for Outcomes Research, Houston Methodist Research Institute, Houston, Texas
| | - Jeph Herrin
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Harlan M. Krumholz
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
- Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut
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45
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Mahajan S, Grandhi GR, Valero-Elizondo J, Mszar R, Khera R, Acquah I, Yahya T, Virani SS, Blankstein R, Blaha MJ, Cainzos-Achirica M, Nasir K. Scope and Social Determinants of Food Insecurity Among Adults With Atherosclerotic Cardiovascular Disease in the United States. J Am Heart Assoc 2021; 10:e020028. [PMID: 34387089 PMCID: PMC8475063 DOI: 10.1161/jaha.120.020028] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background Atherosclerotic cardiovascular disease (ASCVD) results in high out‐of‐pocket healthcare expenditures predisposing to food insecurity. However, the burden and determinants of food insecurity in this population are unknown. Methods and Results Using 2013 to 2018 National Health Interview Survey data, we evaluated the prevalence and sociodemographic determinants of food insecurity among adults with ASCVD in the United States. ASCVD was defined as self‐reported diagnosis of coronary heart disease or stroke. Food security was measured using the 10‐item US Adult Food Security Survey Module. Of the 190 113 study participants aged 18 years or older, 18 442 (adjusted prevalence 8.2%) had ASCVD, representing ≈20 million US adults annually. Among adults with ASCVD, 2968 or 14.6% (weighted ≈2.9 million US adults annually) reported food insecurity compared with 9.1% among those without ASCVD (P<0.001). Individuals with ASCVD who were younger (odds ratio [OR], 4.0 [95% CI, 2.8–5.8]), women (OR, 1.2 [1.0–1.3]), non‐Hispanic Black (OR, 2.3 [1.9–2.8]), or Hispanic (OR, 1.6 [1.2–2.0]), had private (OR, 1.8 [1.4–2.3]) or no insurance (OR, 2.3 [1.7–3.1]), were divorced/widowed/separated (OR, 1.2 [1.0–1.4]), and had low family income (OR, 4.7 [4.0–5.6]) were more likely to be food insecure. Among those with ASCVD and 6 of these high‐risk characteristics, 53.7% reported food insecurity and they had 36‐times (OR, 36.2 [22.6–57.9]) higher odds of being food insecure compared with those with ≤1 high‐risk characteristic. Conclusion About 1 in 7 US adults with ASCVD experience food insecurity, with more than 1 in 2 adults reporting food insecurity among the most vulnerable sociodemographic subgroups. There is an urgent need to address the barriers related to food security in this population.
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Affiliation(s)
- Shiwani Mahajan
- Center for Outcomes Research and Evaluation Yale New Haven Hospital New Haven CT.,Section of Cardiovascular Medicine Yale School of Medicine New Haven CT
| | | | - Javier Valero-Elizondo
- Division of Cardiovascular Prevention and Wellness Houston Methodist DeBakey Heart and Vascular Center Houston TX.,Center for Outcomes Research Houston Methodist Research Institute Houston TX
| | - Reed Mszar
- Center for Outcomes Research and Evaluation Yale New Haven Hospital New Haven CT.,Section of Cardiovascular Medicine Yale School of Medicine New Haven CT
| | - Rohan Khera
- Center for Outcomes Research and Evaluation Yale New Haven Hospital New Haven CT.,Section of Cardiovascular Medicine Yale School of Medicine New Haven CT
| | - Isaac Acquah
- Center for Outcomes Research Houston Methodist Research Institute Houston TX
| | - Tamer Yahya
- Division of Cardiovascular Prevention and Wellness Houston Methodist DeBakey Heart and Vascular Center Houston TX
| | - Salim S Virani
- Michael E. DeBakey Veterans Affairs Medical Center & Section of Cardiology Baylor College of Medicine Houston TX
| | - Ron Blankstein
- Cardiovascular Imaging Program Cardiovascular Division and Department of Radiology Brigham and Women's Hospital Boston MA
| | - Michael J Blaha
- The Johns Hopkins Ciccarone Center for Prevention of Cardiovascular Disease Baltimore MD
| | - Miguel Cainzos-Achirica
- Division of Cardiovascular Prevention and Wellness Houston Methodist DeBakey Heart and Vascular Center Houston TX.,Center for Outcomes Research Houston Methodist Research Institute Houston TX
| | - Khurram Nasir
- Division of Cardiovascular Prevention and Wellness Houston Methodist DeBakey Heart and Vascular Center Houston TX.,Center for Outcomes Research Houston Methodist Research Institute Houston TX
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46
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Adams J, Adler C, Aggarwal MM, Ahammed Z, Amonett J, Anderson BD, Anderson M, Arkhipkin D, Averichev GS, Badyal SK, Balewski J, Barannikova O, Barnby LS, Baudot J, Bekele S, Belaga VV, Bellwied R, Berger J, Bezverkhny BI, Bhardwaj S, Bhaskar P, Bhati AK, Bichsel H, Billmeier A, Bland LC, Blyth CO, Bonner BE, Botje M, Boucham A, Brandin A, Bravar A, Cadman RV, Cai XZ, Caines H, Calderón de la Barca Sánchez M, Carroll J, Castillo J, Castro M, Cebra D, Chaloupka P, Chattopadhyay S, Chen HF, Chen Y, Chernenko SP, Cherney M, Chikanian A, Choi B, Christie W, Coffin JP, Cormier TM, Cramer JG, Crawford HJ, Csanád M, Das D, Das S, Derevschikov AA, Didenko L, Dietel T, Dong WJ, Dong X, Draper JE, Du F, Dubey AK, Dunin VB, Dunlop JC, Dutta Majumdar MR, Eckardt V, Efimov LG, Emelianov V, Engelage J, Eppley G, Erazmus B, Estienne M, Fachini P, Faine V, Faivre J, Fatemi R, Filimonov K, Filip P, Finch E, Fisyak Y, Flierl D, Foley KJ, Fu J, Gagliardi CA, Gagunashvili N, Gans J, Ganti MS, Gaudichet L, Germain M, Geurts F, Ghazikhanian V, Ghosh P, Gonzalez JE, Grachov O, Grigoriev V, Gronstal S, Grosnick D, Guedon M, Guertin SM, Gupta A, Gushin E, Gutierrez TD, Hallman TJ, Hardtke D, Harris JW, Heinz M, Henry TW, Heppelmann S, Herston T, Hippolyte B, Hirsch A, Hjort E, Hoffmann GW, Horsley M, Huang HZ, Huang SL, Humanic TJ, Igo G, Ishihara A, Jacobs P, Jacobs WW, Janik M, Jiang H, Johnson I, Jones PG, Judd EG, Kabana S, Kaneta M, Kaplan M, Keane D, Khodyrev VY, Kiryluk J, Kisiel A, Klay J, Klein SR, Klyachko A, Koetke DD, Kollegger T, Kopytine M, Kotchenda L, Kovalenko AD, Kramer M, Kravtsov P, Kravtsov VI, Krueger K, Kuhn C, Kulikov AI, Kumar A, Kunde GJ, Kunz CL, Kutuev RK, Kuznetsov AA, Lamont MAC, Landgraf JM, Lange S, Lansdell CP, Lasiuk B, Laue F, Lauret J, Lebedev A, Lednický R, LeVine MJ, Li C, Li Q, Lindenbaum SJ, Lisa MA, Liu F, Liu L, Liu Z, Liu QJ, Ljubicic T, Llope WJ, Long H, Longacre RS, Lopez-Noriega M, Love WA, Ludlam T, Lynn D, Ma J, Ma R, Ma YG, Magestro D, Mahajan S, Mangotra LK, Mahapatra DP, Majka R, Manweiler R, Margetis S, Markert C, Martin L, Marx J, Matis HS, Matulenko YA, McShane TS, Meissner F, Melnick Y, Meschanin A, Messer M, Miller ML, Milosevich Z, Minaev NG, Mironov C, Mishra D, Mitchell J, Mohanty B, Molnar L, Moore CF, Mora-Corral MJ, Morozov DA, Morozov V, de Moura MM, Munhoz MG, Nandi BK, Nayak SK, Nayak TK, Nelson JM, Nevski P, Niida T, Nikitin VA, Nogach LV, Norman B, Nurushev SB, Odyniec G, Ogawa A, Okorokov V, Oldenburg M, Olson D, Paic G, Pandey SU, Pal SK, Panebratsev Y, Panitkin SY, Pavlinov AI, Pawlak T, Perevoztchikov V, Perkins C, Peryt W, Petrov VA, Phatak SC, Picha R, Planinic M, Pluta J, Porile N, Porter J, Poskanzer AM, Potekhin M, Potrebenikova E, Potukuchi BVKS, Prindle D, Pruneau C, Putschke J, Rai G, Rakness G, Raniwala R, Raniwala S, Ravel O, Ray RL, Razin SV, Reichhold D, Reid JG, Renault G, Retiere F, Ridiger A, Ritter HG, Roberts JB, Rogachevski OV, Romero JL, Rose A, Roy C, Ruan LJ, Sahoo R, Sakrejda I, Salur S, Sandweiss J, Savin I, Schambach J, Scharenberg RP, Schmitz N, Schroeder LS, Schweda K, Seger J, Seliverstov D, Seyboth P, Shahaliev E, Shao M, Sharma M, Shestermanov KE, Shimanskii SS, Singaraju RN, Simon F, Skoro G, Smirnov N, Snellings R, Sood G, Sorensen P, Sowinski J, Spinka HM, Srivastava B, Stanislaus S, Stock R, Stolpovsky A, Strikhanov M, Stringfellow B, Struck C, Suaide AAP, Sugarbaker E, Suire C, Šumbera M, Surrow B, Symons TJM, Szanto de Toledo A, Szarwas P, Tai A, Takahashi J, Tang AH, Thein D, Thomas JH, Tikhomirov V, Todoroki T, Tokarev M, Tonjes MB, Trainor TA, Trentalange S, Tribble RE, Trivedi MD, Trofimov V, Tsai O, Ullrich T, Underwood DG, Van Buren G, VanderMolen AM, Vasiliev AN, Vasiliev M, Vigdor SE, Viyogi YP, Voloshin SA, Waggoner W, Wang F, Wang G, Wang XL, Wang ZM, Ward H, Watson JW, Wells R, Westfall GD, Whitten C, Wieman H, Willson R, Wissink SW, Witt R, Wood J, Wu J, Xu N, Xu Z, Xu ZZ, Yamamoto E, Yepes P, Yurevich VI, Zanevski YV, Zborovský I, Zhang H, Zhang WM, Zhang ZP, Żołnierczuk PA, Zoulkarneev R, Zoulkarneeva J, Zubarev AN. Erratum: Azimuthal Anisotropy at the Relativistic Heavy Ion Collider: The First and Fourth Harmonics [Phys. Rev. Lett. 92, 062301 (2004)]. Phys Rev Lett 2021; 127:069901. [PMID: 34420354 DOI: 10.1103/physrevlett.127.069901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Indexed: 06/13/2023]
Abstract
This corrects the article DOI: 10.1103/PhysRevLett.92.062301.
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47
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Vishwanath T, Kumar Bose A, Mahajan S, Chikhalkar S, Gole P, Kharkar V, Balaji H. Simplifying assessment of dimensions of oral lesions using a syringe and 'impression planimetry' with printer paper. Clin Exp Dermatol 2021; 47:158-161. [PMID: 34291468 DOI: 10.1111/ced.14860] [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: 07/20/2021] [Indexed: 11/30/2022]
Abstract
Two novel methods of measuring the dimensions of oral lesions are described, which would be of help in deciding relative efficacies of different therapeutic agents when used in clinical trials after larger studies quantitatively assessed for inter/intraobserver variability.
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Affiliation(s)
- T Vishwanath
- Department of Dermatology, Seth GS Medical College and KEM Hospital, Mumbai, India
| | - A Kumar Bose
- Department of Dermatology, Seth GS Medical College and KEM Hospital, Mumbai, India
| | - S Mahajan
- Department of Dermatology, Seth GS Medical College and KEM Hospital, Mumbai, India
| | - S Chikhalkar
- Department of Dermatology, Seth GS Medical College and KEM Hospital, Mumbai, India
| | - P Gole
- Department of Dermatology, Seth GS Medical College and KEM Hospital, Mumbai, India
| | - V Kharkar
- Department of Dermatology, Seth GS Medical College and KEM Hospital, Mumbai, India
| | - H Balaji
- Department of Dermatology, Seth GS Medical College and KEM Hospital, Mumbai, India
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48
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Massey D, Huang C, Lu Y, Cohen A, Oren Y, Moed T, Matzner P, Mahajan S, Caraballo C, Kumar N, Xue Y, Ding Q, Dreyer R, Roy B, Krumholz H. Engagement With COVID-19 Public Health Measures in the United States: A Cross-sectional Social Media Analysis from June to November 2020. J Med Internet Res 2021; 23:e26655. [PMID: 34086593 PMCID: PMC8218897 DOI: 10.2196/26655] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2020] [Revised: 03/05/2021] [Accepted: 04/16/2021] [Indexed: 01/01/2023] Open
Abstract
Background COVID-19 has continued to spread in the United States and globally. Closely monitoring public engagement and perceptions of COVID-19 and preventive measures using social media data could provide important information for understanding the progress of current interventions and planning future programs. Objective The aim of this study is to measure the public’s behaviors and perceptions regarding COVID-19 and its effects on daily life during 5 months of the pandemic. Methods Natural language processing (NLP) algorithms were used to identify COVID-19–related and unrelated topics in over 300 million online data sources from June 15 to November 15, 2020. Posts in the sample were geotagged by NetBase, a third-party data provider, and sensitivity and positive predictive value were both calculated to validate the classification of posts. Each post may have included discussion of multiple topics. The prevalence of discussion regarding these topics was measured over this time period and compared to daily case rates in the United States. Results The final sample size included 9,065,733 posts, 70% of which were sourced from the United States. In October and November, discussion including mentions of COVID-19 and related health behaviors did not increase as it had from June to September, despite an increase in COVID-19 daily cases in the United States beginning in October. Additionally, discussion was more focused on daily life topics (n=6,210,255, 69%), compared with COVID-19 in general (n=3,390,139, 37%) and COVID-19 public health measures (n=1,836,200, 20%). Conclusions There was a decline in COVID-19–related social media discussion sourced mainly from the United States, even as COVID-19 cases in the United States increased to the highest rate since the beginning of the pandemic. Targeted public health messaging may be needed to ensure engagement in public health prevention measures as global vaccination efforts continue.
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Affiliation(s)
- Daisy Massey
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, United States
| | - Chenxi Huang
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, United States
| | - Yuan Lu
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, United States.,Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, United States
| | - Alina Cohen
- Signals Analytics, New York, NY, United States
| | - Yahel Oren
- Signals Analytics, New York, NY, United States
| | - Tali Moed
- Signals Analytics, New York, NY, United States
| | | | - Shiwani Mahajan
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, United States.,Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, United States
| | - César Caraballo
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, United States.,Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, United States
| | - Navin Kumar
- Department of Sociology, Yale University, New Haven, CT, United States
| | - Yuchen Xue
- Foundation for a Smoke-Free World, New York, NY, United States
| | - Qinglan Ding
- College of Health and Human Sciences, Purdue University, West Lafayette, IN, United States
| | - Rachel Dreyer
- Department of Emergency Medicine, Yale School of Medicine, New Haven, CT, United States
| | - Brita Roy
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, United States.,Department of Medicine, Yale School of Medicine, New Haven, CT, United States
| | - Harlan Krumholz
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, United States.,Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, United States.,Department of Health Policy and Management, Yale School of Public Health, New Haven, CT, United States
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49
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Kharkar V, Vishwanath T, Mahajan S, Joshi R, Gole P. Asymmetrical cutaneous vasculitis following COVID-19 vaccination with unusual eosinophil preponderance. Clin Exp Dermatol 2021; 46:1596-1597. [PMID: 34115904 PMCID: PMC8444878 DOI: 10.1111/ced.14797] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 06/08/2021] [Indexed: 01/29/2023]
Affiliation(s)
- V Kharkar
- Department of Dermatology, Seth G. S. Medical College and K. E. M. Hospital, Mumbai, India
| | - T Vishwanath
- Department of Dermatology, Seth G. S. Medical College and K. E. M. Hospital, Mumbai, India
| | - S Mahajan
- Department of Dermatology, Seth G. S. Medical College and K. E. M. Hospital, Mumbai, India
| | - R Joshi
- Department of Dermatology, P. D. Hinduja National Hospital and Medical Research Centre, Mumbai, India
| | - P Gole
- Department of Dermatology, Seth G. S. Medical College and K. E. M. Hospital, Mumbai, India
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50
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Lu Y, Murugiah K, Jones PW, Massey DS, Mahajan S, Caraballo C, Ahmed R, Bader EM, Krumholz HM. Physical Activity Patterns Among Patients with Intracardiac Remote Monitoring Devices Before, During, and After COVID-19-related Public Health Restrictions. medRxiv 2021:2021.02.27.21252558. [PMID: 33688678 PMCID: PMC7941655 DOI: 10.1101/2021.02.27.21252558] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
Nationwide public health restrictions due to the coronavirus disease 2019 (COVID-19) pandemic have disrupted people's routine physical activities, yet little objective information is available on the extent to which physical activity has changed among patients with pre-existing cardiac diseases. Using remote monitoring data of 9,924 patients with pacemakers and implantable cardiac defibrillators (ICDs) living in New York City and Minneapolis/Saint Paul, we assessed physical activity patterns among these patients in 2019 and 2020 from January through October. We found marked declines in physical activity among patients with implantable cardiac devices during COVID-19-related restrictions and the reduction was consistent across age and sex subgroups. Moreover, physical activity among these vulnerable patients did not return to pre-restrictions levels several months after COVID-19 restrictions were eased. Our findings highlight the need to consider the unintended consequences of mitigation strategies and develop approaches to encourage safe physical activity during the pandemic.
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Affiliation(s)
- Yuan Lu
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut,Section of Cardiovascular Medicine, Department of Internal Medicine, Y ale School of Medicine, New Haven, Connecticut
| | - Karthik Murugiah
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut,Section of Cardiovascular Medicine, Department of Internal Medicine, Y ale School of Medicine, New Haven, Connecticut
| | - Paul W Jones
- Clinical Department, Boston Scientific Corporation, St. Paul, Minnesota
| | - Daisy S Massey
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut
| | - Shiwani Mahajan
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut,Section of Cardiovascular Medicine, Department of Internal Medicine, Y ale School of Medicine, New Haven, Connecticut
| | - César Caraballo
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut,Section of Cardiovascular Medicine, Department of Internal Medicine, Y ale School of Medicine, New Haven, Connecticut
| | - Rezwan Ahmed
- Clinical Department, Boston Scientific Corporation, St. Paul, Minnesota
| | - Eric M Bader
- Section of Cardiovascular Medicine, Department of Internal Medicine, Y ale School of Medicine, New Haven, Connecticut
| | - Harlan M Krumholz
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut,Section of Cardiovascular Medicine, Department of Internal Medicine, Y ale School of Medicine, New Haven, Connecticut,Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut
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