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Pakhale S, Visentin C, Tariq S, Kaur T, Florence K, Bignell T, Jama S, Huynh N, Boyd R, Haddad J, Alvarez GG. Lung disease burden assessment by oscillometry in a systematically disadvantaged urban population experiencing homelessness or at-risk for homelessness in Ottawa, Canada from a prospective observational study. BMC Pulm Med 2022; 22:235. [PMID: 35710334 PMCID: PMC9202668 DOI: 10.1186/s12890-022-02030-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 06/13/2022] [Indexed: 12/02/2022] Open
Abstract
Rationale Oscillometry is an emerging technique that offers some advantages over spirometry as it does not require forced exhalation and may detect early changes in respiratory pathology. Obstructive lung disease disproportionately impacts people experiencing homelessness with a high symptoms burden, yet oscillometry is not studied in this population. Objectives To assess lung disease and symptom burden using oscillometry in people experiencing homelessness or at-risk of homelessness using a community-based participatory action research approach (The Bridge Model™).
Methods Of 80 recruited, 55 completed baseline oscillometry, 64 completed spirometry, and all completed patient-reported outcomes with demographics, health, and respiratory symptom related questionnaires in the Participatory Research in Ottawa: Management and Point-of-Care for Tobacco Dependence project. Using a two-tail t-test, we compared mean oscillometry values for airway resistance (R5–20), reactance area under the curve (Ax) and reactance at 5 Hz (X5) amongst individuals with fixed-ratio method (FEV1/FVC ratio < 0.70) and LLN (FEV1/FVC ratio ≤ LLN) spirometry diagnosed chronic obstructive pulmonary disease (COPD). We compared mean oscillometry parameters based on participants’ COPD assessment test (CAT) scores using ANOVA test. Results There was no significant difference between the pre- and post- bronchodilator values of R5–20 and Ax for the fixed ratio method (p = 0.63 and 0.43) and the LLN method (p = 0.45 and 0.36). There was a significant difference in all three of the oscillometry parameters, R5–20, Ax and X5, based on CAT score (p = 0.009, 0.007 and 0.05, respectively). There was a significant difference in R5–20 and Ax based on the presence of phlegm (p = 0.03 and 0.02, respectively) and the presence of wheeze (p = 0.05 and 0.01, respectively). Oscillometry data did not correlate with spirometry data, but it was associated with CAT scores and correlated with the presence of self-reported symptoms of phlegm and wheeze in this population. Conclusions Oscillometry is associated with respiratory symptom burden and highlights the need for future studies to generate more robust data regarding the use of oscillometry in systematically disadvantaged populations where disease burden is disproportionately higher than the general population. TrialRegistration: ClinicalTrails.gov—NCT03626064, Retrospective registered: August 2018, https://clinicaltrials.gov/ct2/show/NCT03626064
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Affiliation(s)
- Smita Pakhale
- Department of Medicine, The Ottawa Hospital, 501 Smyth Road, Ottawa, ON, K1H 8L6, Canada. .,The Ottawa Hospital Research Institute (OHRI), Ottawa, Canada. .,University of Ottawa, Ottawa, Canada.
| | - Carly Visentin
- Department of Medicine, The Ottawa Hospital, 501 Smyth Road, Ottawa, ON, K1H 8L6, Canada.,University of Ottawa, Ottawa, Canada
| | - Saania Tariq
- The Ottawa Hospital Research Institute (OHRI), Ottawa, Canada
| | - Tina Kaur
- University of Toronto, Toronto, Canada
| | - Kelly Florence
- Community (Peer) Researcher, The Bridge Engagement Centre, Ottawa, Canada
| | - Ted Bignell
- Community (Peer) Researcher, The Bridge Engagement Centre, Ottawa, Canada
| | - Sadia Jama
- The Ottawa Hospital Research Institute (OHRI), Ottawa, Canada.,University of Ottawa, Ottawa, Canada
| | - Nina Huynh
- The Ottawa Hospital Research Institute (OHRI), Ottawa, Canada
| | - Robert Boyd
- Oasis, Sandy Hill Community Health Centre, Ottawa, Canada
| | - Joanne Haddad
- Canadian Mental Health Association, The Ottawa Branch, Ottawa, Canada
| | - Gonzalo G Alvarez
- Department of Medicine, The Ottawa Hospital, 501 Smyth Road, Ottawa, ON, K1H 8L6, Canada.,The Ottawa Hospital Research Institute (OHRI), Ottawa, Canada
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Chen Y, Ding C, Yu L, Guo W, Feng X, Yu L, Su J, Xu T, Ren C, Shi D, Wu W, Yi P, Liu J, Tao J, Lang G, Li Y, Xu M, Sheng J, Li L, Xu K. One-year follow-up of chest CT findings in patients after SARS-CoV-2 infection. BMC Med 2021; 19:191. [PMID: 34365975 PMCID: PMC8349604 DOI: 10.1186/s12916-021-02056-8] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 07/07/2021] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Knowledge about the 1-year outcome of COVID-19 is limited. The aim of this study was to follow-up and evaluate lung abnormalities on serial computed tomography (CT) scans in patients with COVID-19 after hospital discharge. METHODS A prospective cohort study of patients with COVID-19 from the First Affiliated Hospital, Zhejiang University School of Medicine was conducted, with assessments of chest CT during hospitalization and at 2 weeks, 1 month, 3 months, 6 months, and 1 year after hospital discharge. Risk factors of residual CT opacities and the influence of residual CT abnormalities on pulmonary functions at 1 year were also evaluated. RESULTS A total of 41 patients were followed in this study. Gradual recovery after hospital discharge was confirmed by the serial CT scores. Around 47% of the patients showed residual aberration on pulmonary CT with a median CT score of 0 (interquartile range (IQR) of 0-2) at 1 year after discharge, with ground-glass opacity (GGO) with reticular pattern as the major radiologic pattern. Patients with residual radiological abnormalities were older (p = 0.01), with higher rate in current smokers (p = 0.04), higher rate in hypertensives (p = 0.05), lower SaO2 (p = 0.004), and higher prevalence of secondary bacterial infections during acute phase (p = 0.02). Multiple logistic regression analyses indicated that age was a risk factor associated with residual radiological abnormalities (OR 1.08, 95% CI 1.01-1.15, p = 0.02). Pulmonary functions of total lung capacity (p = 0.008) and residual volume (p < 0.001) were reduced in patients with residual CT abnormalities and were negatively correlated with CT scores. CONCLUSION During 1-year follow-up after discharge, COVID-19 survivors showed continuous improvement on chest CT. However, residual lesions could still be observed and correlated with lung volume parameters. The risk of developing residual CT opacities increases with age.
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Affiliation(s)
- Yanfei Chen
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou City, 310003, China
| | - Cheng Ding
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou City, 310003, China
| | - Ling Yu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou City, 310003, China
| | - Wanru Guo
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou City, 310003, China
| | - Xuewen Feng
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou City, 310003, China
| | - Liang Yu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou City, 310003, China
| | - Junwei Su
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou City, 310003, China
| | - Ting Xu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou City, 310003, China
| | - Cheng Ren
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou City, 310003, China
| | - Ding Shi
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou City, 310003, China
| | - Wenrui Wu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou City, 310003, China
| | - Ping Yi
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou City, 310003, China
| | - Jun Liu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou City, 310003, China
| | - Jingjing Tao
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou City, 310003, China
| | - Guanjing Lang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou City, 310003, China
| | - Yongtao Li
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou City, 310003, China
| | - Min Xu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou City, 310003, China
| | - Jifang Sheng
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou City, 310003, China
| | - Lanjuan Li
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou City, 310003, China.
| | - Kaijin Xu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Department of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou City, 310003, China.
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Impact of COVID-19: urging a need for multi-domain assessment of COVID-19 inpatients. Eur Geriatr Med 2021; 12:741-748. [PMID: 33786747 PMCID: PMC8009466 DOI: 10.1007/s41999-021-00486-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Accepted: 03/15/2021] [Indexed: 12/23/2022]
Abstract
Aim To retrospectively analyse data obtained from the multi-domain assessment of hospitalized COVID-19 patients, to describe their health status at discharge, and to investigate whether subgroups of patients, more specific ICU patients and older adults (> 70 years), had more (or less) risk to experience specific impairments. Findings The results of the assessment show that physical, functional, cognitive, nutritional, and psychological impairments are highly prevalent in the group of COVID-19 patients, both in ICU and non-ICU patients, adults and older adults. Message The high prevalence of physical, cognitive, psychological, and functional impairments in hospitalized COVID-19 patients, both ICU and non-ICU patients, indicates that assessment of impairments is imperative. Objective To retrospectively analyse data obtained from the multi-domain assessment of hospitalized COVID-19 patients, to describe their health status at discharge, and to investigate whether subgroups of patients, more specific ICU patients and older adults (> 70 years), had more (or less) risk to experience specific impairments. Methods Retrospective case series in the University Hospitals Leuven, Belgium of confirmed COVID-19 patients ‘after surviving an ICU-stay’, ‘aged ≥ 70 years’, or ‘aged < 70 years with a length of hospitalization > 7 days’. Exclusion criteria were ‘unwilling to cooperate’, ‘medically unstable’, or ‘palliative care policy’. Following tests were used: ‘Five Times Sit To Stand Test’, ‘hand grip dynamometry’, ‘Barthel index’, ‘Swallowing screening’, ‘Montreal Cognitive Assessment’, ‘Hospital Anxiety and Depression Scale’, and ‘Nutritional Risk Screening 2002’. Results One or more tests were obtained in 135/163 patients (83.3%). Physical impairments were present in 43.2–82.8% of the patients. Median BI was 10/20 indicating limited self-dependency. Swallow impairments were present in 3/53 (5.7%) and 24/76 (31.6%) had risk of malnutrition. Impaired memory was seen in 26/43 (60.5%) and 22/47 (46.8%) had elevated anxiety/depression scores. Older adults had more physical, functional, and cognitive impairments. ICU patients had a lower hand grip force. Conclusion(s) The high prevalence of physical, cognitive, psychological, and functional impairments in hospitalized COVID-19 patients, both ICU and non-ICU patients, indicates that assessment of impairments is imperative. These results imply that rehabilitation and follow-up is essential for these patients. This paper proposes a short, workable assessment composed with known outcome measures to assess different domains of COVID-19 patients.
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Lee SC, An C, Yoo J, Park S, Shin D, Han CH. Development and validation of a nomogram to predict pulmonary function and the presence of chronic obstructive pulmonary disease in a Korean population. BMC Pulm Med 2021; 21:32. [PMID: 33468128 PMCID: PMC7816387 DOI: 10.1186/s12890-021-01391-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Accepted: 12/24/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Early suspicion followed by assessing lung function with spirometry could decrease the underdiagnosis of chronic obstructive pulmonary disease (COPD) in primary care. We aimed to develop a nomogram to predict the FEV1/FVC ratio and the presence of COPD. METHODS We retrospectively reviewed the data of 4241 adult patients who underwent spirometry between 2013 and 2019. By linear regression analysis, variables associated with FEV1/FVC were identified in the training cohort (n = 2969). Using the variables as predictors, a nomogram was created to predict the FEV1/FVC ratio and validated in the test cohort (n = 1272). RESULTS Older age (β coefficient [95% CI], - 0.153 [- 0.183, - 0.122]), male sex (- 1.904 [- 2.749, - 1.056]), current or past smoking history (- 3.324 [- 4.200, - 2.453]), and the presence of dyspnea (- 2.453 [- 3.612, - 1.291]) or overweight (0.894 [0.191, 1.598]) were significantly associated with the FEV1/FVC ratio. In the final testing, the developed nomogram showed a mean absolute error of 8.2% between the predicted and actual FEV1/FVC ratios. The overall performance was best when FEV1/FVC < 70% was used as a diagnostic criterion for COPD; the sensitivity, specificity, and balanced accuracy were 82.3%, 68.6%, and 75.5%, respectively. CONCLUSION The developed nomogram could be used to identify potential patients at risk of COPD who may need further evaluation, especially in the primary care setting where spirometry is not available.
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Affiliation(s)
- Sang Chul Lee
- Division of Pulmonology, Department of Internal Medicine, National Health Insurance Service Ilsan Hospital, Goyang, Republic of Korea
| | - Chansik An
- Research Institute, National Health Insurance Service Ilsan Hospital, Goyang, Republic of Korea.
| | - Jongha Yoo
- Department of Laboratory Medicine, National Health Insurance Service Ilsan Hospital, Goyang, Republic of Korea
| | - Sungho Park
- Medical Information Management Team, National Health Insurance Service Ilsan Hospital, Goyang, Republic of Korea
| | - Donggyo Shin
- Medical Record Service Team, National Health Insurance Service Ilsan Hospital, Goyang, Republic of Korea
| | - Chang Hoon Han
- Division of Pulmonology, Department of Internal Medicine, National Health Insurance Service Ilsan Hospital, Goyang, Republic of Korea
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Tedla YG, Yano Y, Thyagarajan B, Kalhan R, Viera AJ, Rosenberg S, Greenland P, Carnethon MR. Peak lung function during young adulthood and future long-term blood pressure variability: The Coronary Artery Risk Development in Young Adults (CARDIA) study. Atherosclerosis 2018; 275:225-231. [PMID: 29957459 PMCID: PMC7702294 DOI: 10.1016/j.atherosclerosis.2018.06.816] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2018] [Revised: 06/05/2018] [Accepted: 06/13/2018] [Indexed: 01/08/2023]
Abstract
BACKGROUND AND AIMS Long-term blood pressure variability (BPV) is associated with cardiovascular events independent of mean blood pressure (BP); however, little is known about its predictors. METHODS Using data from the CARDIA study, we investigated the association between peak lung-function and long-term BPV in 2917 individuals (mean age 24.8 years, 45.3% males, 58.6% whites) who were not taking antihypertensive medications. Lung-function was measured using forced vital capacity (FVC) and forced expiratory volume in 1-s (FEV1) at years 0, 2, 5, 10 and 20 and the maximum score attained was considered as peak lung-function. Variability independent of the mean (VIM) and coefficient of variation (CV) of BP were calculated to quantify BPV since achieving peak lung-function across 9 visits over 30 years. RESULTS In a multivariate linear regression models, individuals in the 2nd (-0.64 mmHg; 95% CI: -1.06, -0.19), 3rd (-0.96; -1.47, -0.45), and 4th (-0.85: -1.53, -0.17) quartiles of FVC had lower VIM of systolic BP than the those in quartile 1 (p-trend = 0.005). CV of systolic BP was also lower by -0.58 (-0.98, -0.19), -0.92 (-1.42, -0.43), and -0.74 (-1.40, -0.08) percentage points, in the three progressively higher quartiles of FVC compared to quartile 1 (p-trend = 0.008). Similar findings were observed when the outcome was diastolic BPV. There was no association of FEV1 and FEV1-to-FVC ratio with BPV. CONCLUSIONS These findings suggest that smaller lung volume or restrictive lung disease during young adulthood, which result in lower peak FVC, may independently increase the risk of higher long-term BPV during middle adulthood.
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Affiliation(s)
- Yacob G Tedla
- Center for Health Information Partnership, Feinberg School of Medicine, Northwestern University, USA.
| | - Yuichiro Yano
- University of Mississippi Medical Center, University of Mississippi, USA
| | - Bharat Thyagarajan
- Department of Laboratory Medicine and Pathology, School of Medicine, University of Minnesota, USA
| | - Ravi Kalhan
- Pulmonary and Critical Care Medicine, Feinberg School of Medicine, Northwestern University, USA
| | - Anthony J Viera
- Department of Epidemiology, University of North Carolina at Chapel Hill, USA; Department of Family Medicine, University of North Carolina at Chapel Hill, USA
| | - Sharon Rosenberg
- Pulmonary and Critical Care Medicine, Feinberg School of Medicine, Northwestern University, USA
| | - Philip Greenland
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, USA
| | - Mercedes R Carnethon
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, USA
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