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Hemilä H, Chalker E, Tukiainen J. Response: Commentary: Quantile treatment effect of zinc lozenges on common cold duration: a novel approach to analyze the effect of treatment on illness duration. Front Pharmacol 2024; 15:1335784. [PMID: 38655184 PMCID: PMC11035776 DOI: 10.3389/fphar.2024.1335784] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 03/22/2024] [Indexed: 04/26/2024] Open
Affiliation(s)
- Harri Hemilä
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Elizabeth Chalker
- National Centre for Epidemiology and Population Health, Australian National University, Canberra, Australia
| | - Janne Tukiainen
- Department of Economics, University of Turku, Turku, Finland
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Lee ER, Park S, Lee SK, Hong HG. Quantile forward regression for high-dimensional survival data. LIFETIME DATA ANALYSIS 2023; 29:769-806. [PMID: 37393569 DOI: 10.1007/s10985-023-09603-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 05/17/2023] [Indexed: 07/04/2023]
Abstract
Despite the urgent need for an effective prediction model tailored to individual interests, existing models have mainly been developed for the mean outcome, targeting average people. Additionally, the direction and magnitude of covariates' effects on the mean outcome may not hold across different quantiles of the outcome distribution. To accommodate the heterogeneous characteristics of covariates and provide a flexible risk model, we propose a quantile forward regression model for high-dimensional survival data. Our method selects variables by maximizing the likelihood of the asymmetric Laplace distribution (ALD) and derives the final model based on the extended Bayesian Information Criterion (EBIC). We demonstrate that the proposed method enjoys a sure screening property and selection consistency. We apply it to the national health survey dataset to show the advantages of a quantile-specific prediction model. Finally, we discuss potential extensions of our approach, including the nonlinear model and the globally concerned quantile regression coefficients model.
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Affiliation(s)
- Eun Ryung Lee
- Department of Statistics, Sungkyunkwan University, Seoul, 03063, Korea
| | - Seyoung Park
- Department of Statistics, Sungkyunkwan University, Seoul, 03063, Korea
| | - Sang Kyu Lee
- Department of Statistics and Probability, Michigan State University, East Lansing, MI, 48823, USA
- Biostatistics Branch, National Cancer Institute, Bethesda, MD, 20892, USA
| | - Hyokyoung G Hong
- Biostatistics Branch, National Cancer Institute, Bethesda, MD, 20892, USA.
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3
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Salerno S, Li Y. High-Dimensional Survival Analysis: Methods and Applications. ANNUAL REVIEW OF STATISTICS AND ITS APPLICATION 2023; 10:25-49. [PMID: 36968638 PMCID: PMC10038209 DOI: 10.1146/annurev-statistics-032921-022127] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
In the era of precision medicine, time-to-event outcomes such as time to death or progression are routinely collected, along with high-throughput covariates. These high-dimensional data defy classical survival regression models, which are either infeasible to fit or likely to incur low predictability due to over-fitting. To overcome this, recent emphasis has been placed on developing novel approaches for feature selection and survival prognostication. We will review various cutting-edge methods that handle survival outcome data with high-dimensional predictors, highlighting recent innovations in machine learning approaches for survival prediction. We will cover the statistical intuitions and principles behind these methods and conclude with extensions to more complex settings, where competing events are observed. We exemplify these methods with applications to the Boston Lung Cancer Survival Cohort study, one of the largest cancer epidemiology cohorts investigating the complex mechanisms of lung cancer.
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Affiliation(s)
- Stephen Salerno
- Department of Biostatistics, University of Michigan, Ann Arbor, United States, 48109
| | - Yi Li
- Department of Biostatistics, University of Michigan, Ann Arbor, United States, 48109
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Romiti GF, Proietti M, Bonini N, Ding WY, Boriani G, Huisman MV, Lip GY. Adherence to the Atrial Fibrillation Better Care (ABC) pathway and the risk of major outcomes in patients with atrial fibrillation: A post-hoc analysis from the prospective GLORIA-AF Registry. EClinicalMedicine 2023; 55:101757. [PMID: 36457650 PMCID: PMC9706520 DOI: 10.1016/j.eclinm.2022.101757] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 10/28/2022] [Accepted: 11/04/2022] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND The 'Atrial fibrillation Better Care' (ABC) pathway has been proposed to streamline a more holistic or integrated care approach to atrial fibrillation (AF) management. We aimed to analyse the impact of adherence to the ABC pathway on the risk of major adverse outcomes in a contemporary prospective global cohort of patients with AF. METHODS Patients enrolled Phase II and III of the GLORIA-AF Registry with complete data on ABC pathway adherence and follow-up were included in this post-hoc analysis between November 2011 and December 2014 for Phase II, and between January 2014 and December 2016 for Phase III. The primary outcome was the composite of all-cause death and major adverse cardiovascular events (MACEs). Multivariable Cox-regression and delay of event (DoE) analyses were used to evaluate the association between adherence to the ABC pathway and the risk of outcomes. FINDINGS We included 24,608 patients in this analysis (mean age: 70.2 (10.3) years, 10,938 (44.4%) females). Adherence to the ABC pathway was associated with a significant risk reduction for the primary outcome, with greatest magnitude observed for full ABC pathway adherence (adjusted Hazard Ratio [aHR] 0.54, 95% Confidence Interval [CI]: 0.44-0.67, p < 0.0001). ABC pathway adherence was also associated with reduced risk of mortality (aHR: 0.89, 95% CI: 0.79-1.00, p = 0.048), thromboembolism (aHR: 0.78, 95% CI: 0.65-0.94, p = 0.0078), and MACE (aHR: 0.82, 95% CI: 0.71-0.95, p = 0.0071). An increasing number of ABC criteria attained was associated with longer event-free survival in the DoE analysis. INTERPRETATION Adherence to the ABC pathway in patients with AF was associated with a reduced risk of major adverse events, including mortality, thromboembolism and MACE. This underlines the importance of using the ABC pathway in the clinical care of patients with AF. FUNDING This study was funded by Boehringer Ingelheim.
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Affiliation(s)
- Giulio Francesco Romiti
- Liverpool Centre for Cardiovascular Science, at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool, United Kingdom
- Department of Translational and Precision Medicine, Sapienza – University of Rome, Rome, Italy
| | - Marco Proietti
- Liverpool Centre for Cardiovascular Science, at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool, United Kingdom
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
- Geriatric Unit, IRCCS Istituti Clinici Scientifici Maugeri, Milan, Italy
| | - Niccolò Bonini
- Liverpool Centre for Cardiovascular Science, at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool, United Kingdom
- Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Modena, Italy
| | - Wern Yew Ding
- Liverpool Centre for Cardiovascular Science, at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool, United Kingdom
| | - Giuseppe Boriani
- Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Modena, Italy
| | - Menno V. Huisman
- Department of Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, the Netherlands
| | - Gregory Y.H. Lip
- Liverpool Centre for Cardiovascular Science, at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool, United Kingdom
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
- Corresponding author. Liverpool Centre for Cardiovascular Science, University of Liverpool, William Henry Duncan Building, 6 West Derby St, Liverpool L7 8TX, United Kingdom.
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5
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Romiti GF, Proietti M, Vitolo M, Bonini N, Fawzy AM, Ding WY, Fauchier L, Marin F, Nabauer M, Dan GA, Potpara TS, Boriani G, Lip GYH. Clinical complexity and impact of the ABC (Atrial fibrillation Better Care) pathway in patients with atrial fibrillation: a report from the ESC-EHRA EURObservational Research Programme in AF General Long-Term Registry. BMC Med 2022; 20:326. [PMID: 36056426 PMCID: PMC9440492 DOI: 10.1186/s12916-022-02526-7] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 08/12/2022] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Clinical complexity is increasingly prevalent among patients with atrial fibrillation (AF). The 'Atrial fibrillation Better Care' (ABC) pathway approach has been proposed to streamline a more holistic and integrated approach to AF care; however, there are limited data on its usefulness among clinically complex patients. We aim to determine the impact of ABC pathway in a contemporary cohort of clinically complex AF patients. METHODS From the ESC-EHRA EORP-AF General Long-Term Registry, we analysed clinically complex AF patients, defined as the presence of frailty, multimorbidity and/or polypharmacy. A K-medoids cluster analysis was performed to identify different groups of clinical complexity. The impact of an ABC-adherent approach on major outcomes was analysed through Cox-regression analyses and delay of event (DoE) analyses. RESULTS Among 9966 AF patients included, 8289 (83.1%) were clinically complex. Adherence to the ABC pathway in the clinically complex group reduced the risk of all-cause death (adjusted HR [aHR]: 0.72, 95%CI 0.58-0.91), major adverse cardiovascular events (MACEs; aHR: 0.68, 95%CI 0.52-0.87) and composite outcome (aHR: 0.70, 95%CI: 0.58-0.85). Adherence to the ABC pathway was associated with a significant reduction in the risk of death (aHR: 0.74, 95%CI 0.56-0.98) and composite outcome (aHR: 0.76, 95%CI 0.60-0.96) also in the high-complexity cluster; similar trends were observed for MACEs. In DoE analyses, an ABC-adherent approach resulted in significant gains in event-free survival for all the outcomes investigated in clinically complex patients. Based on absolute risk reduction at 1 year of follow-up, the number needed to treat for ABC pathway adherence was 24 for all-cause death, 31 for MACEs and 20 for the composite outcome. CONCLUSIONS An ABC-adherent approach reduces the risk of major outcomes in clinically complex AF patients. Ensuring adherence to the ABC pathway is essential to improve clinical outcomes among clinically complex AF patients.
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Affiliation(s)
- Giulio Francesco Romiti
- Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Heart & Chest Hospital, William Henry Duncan Building, 6 West Derby St, Liverpool, L7 8TX, UK.,Department of Translational and Precision Medicine, Sapienza University of Rome, Rome, Italy
| | - Marco Proietti
- Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Heart & Chest Hospital, William Henry Duncan Building, 6 West Derby St, Liverpool, L7 8TX, UK.,Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy.,Geriatric Unit, IRCCS Istituti Clinici Scientifici Maugeri, Milan, Italy
| | - Marco Vitolo
- Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Heart & Chest Hospital, William Henry Duncan Building, 6 West Derby St, Liverpool, L7 8TX, UK.,Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Modena, Italy.,Clinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, Modena, Italy
| | - Niccolò Bonini
- Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Heart & Chest Hospital, William Henry Duncan Building, 6 West Derby St, Liverpool, L7 8TX, UK.,Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Modena, Italy
| | - Ameenathul Mazaya Fawzy
- Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Heart & Chest Hospital, William Henry Duncan Building, 6 West Derby St, Liverpool, L7 8TX, UK
| | - Wern Yew Ding
- Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Heart & Chest Hospital, William Henry Duncan Building, 6 West Derby St, Liverpool, L7 8TX, UK
| | - Laurent Fauchier
- Service de Cardiologie, Centre Hospitalier Universitaire Trousseau, Tours, France
| | - Francisco Marin
- Department of Cardiology, Hospital Universitario Virgen de la Arrixaca, IMIB-Arrixaca, University of Murcia, CIBER-CV, Murcia, Spain
| | - Michael Nabauer
- Department of Cardiology, Ludwig-Maximilians-University, Munich, Germany
| | - Gheorghe Andrei Dan
- University of Medicine, 'Carol Davila', Colentina University Hospital, Bucharest, Romania
| | - Tatjana S Potpara
- School of Medicine, University of Belgrade, Belgrade, Serbia.,Intensive Arrhythmia Care, Cardiology Clinic, Clinical Center of Serbia, Belgrade, Serbia
| | - Giuseppe Boriani
- Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Modena, Italy
| | - Gregory Y H Lip
- Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Heart & Chest Hospital, William Henry Duncan Building, 6 West Derby St, Liverpool, L7 8TX, UK. .,Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.
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Liu X, Song Y, Zhang K. An exact bootstrap-based bandwidth selection rule for kernel quantile estimators. COMMUN STAT-SIMUL C 2022. [DOI: 10.1080/03610918.2022.2110595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Affiliation(s)
- Xiaoyu Liu
- Institute of Statistics and Big Data, Renmin University of China, Beijing, China
| | - Yan Song
- Institute of Statistics and Big Data, Renmin University of China, Beijing, China
| | - Kun Zhang
- Institute of Statistics and Big Data, Renmin University of China, Beijing, China
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7
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Yazdani A, Haghighat S. Determining Prognostic Factors of Disease-Free Survival in Breast Cancer Using Censored Quantile Regression. BREAST CANCER: BASIC AND CLINICAL RESEARCH 2022; 16:11782234221108058. [PMID: 35795199 PMCID: PMC9251962 DOI: 10.1177/11782234221108058] [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: 11/13/2021] [Accepted: 06/01/2022] [Indexed: 11/17/2022] Open
Abstract
Background The analysis of disease-free survival and related factors leads to a better understanding of the patient's condition and recurrence-related characteristics and provides a basis for more appropriate treatment guidance. In this study, we aimed to investigate the role of prognostic factors on disease-free survival in breast cancer with a quantile regression model. Methods This retrospective study was conducted by reviewing data obtained from 2056 breast cancer patients. Age at diagnosis and education status, tumor size, lymph node ratio, tumor grade, estrogen receptor and progesterone receptor, type of surgery, use of radiotherapy, chemotherapy, and hormone therapy were the prognosis factors considered in this study. A quantile regression model was used to investigate prognostic factors of disease-free survival in breast cancer. Results Disease recurrence was verified in 251 (13.9%) women, and 39 (0.02%) women died before experience recurrence. The 10th percentile of disease-free survival for patients with the hormone therapy was 23.85 months greater than patients who did not receive this treatment (P value < .001). In the examination of the tumor size, the 10th and 20th percentiles of disease-free survival for patients with tumor size > 5 cm were 31.06 and 27 months less than patients with the tumor size < 2 cm, respectively (P value = .006 and .021, respectively). Compared with grade 1 tumors, the 10th and 20th percentiles of disease-free survival for patients with grade 3 tumors decreased 30.11 and 38.32 months, respectively (P value < .001 and .038, respectively). The 10th and 20th percentiles of disease-free survival decreased 28.16 and 45.32 months with a 1 unit increase in lymph node ratio, respectively (P value = .032 and .032, respectively). Conclusions Among the prognostic factors, tumor size, grade, and lymph node ratio showed a close relationship with disease-free survival in breast cancer. The findings indicated that developing public screening and educational programs through the health care system with more emphasis on low-educated women is needed among Iranian women.
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Affiliation(s)
- Akram Yazdani
- Department of Biostatistics and Epidemiology, School of Public Health, Kashan University of Medical Sciences, Kashan, Iran
| | - Shahpar Haghighat
- Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, Iran
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Hemilä H, Chalker E, Tukiainen J. Quantile Treatment Effect of Zinc Lozenges on Common Cold Duration: A Novel Approach to Analyze the Effect of Treatment on Illness Duration. Front Pharmacol 2022; 13:817522. [PMID: 35177991 PMCID: PMC8844493 DOI: 10.3389/fphar.2022.817522] [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: 11/18/2021] [Accepted: 01/11/2022] [Indexed: 11/13/2022] Open
Abstract
Calculation of the difference of means is the most common approach when analyzing treatment effects on continuous outcomes. Nevertheless, it is possible that the treatment has a different effect on patients who have a lower value of the outcome compared with patients who have a greater value of the outcome. The estimation of quantile treatment effects (QTEs) allows the analysis of treatment effects over the entire distribution of a continuous outcome, such as the duration of illness or the duration of hospital stay. Furthermore, most of these outcomes have asymmetric distributions with fat tails, and censored observations are not uncommon. These features can be accounted for in the analysis of the QTE. In this paper, we use the QTE approach to analyze the effect of zinc lozenges on common cold duration. We use the data set of the Mossad (1996) trial with zinc gluconate lozenges, and three data sets of trials with zinc acetate lozenges. In the Mossad (1996) trial, zinc gluconate lozenges shortened common cold duration on average by 4.0 days (95% CI 2.3-5.7 days). However, the QTE analysis indicates that 15- to 17-day colds were shortened by 8 days, and 2-day colds by just 1 day, for the group taking zinc lozenges. Thus, the overall 4.0-day average effect of zinc gluconate lozenges in the Mossad (1996) trial is inconsistent with our QTE findings for both short and long colds. Similar results were found in our QTE analysis of the pooled data sets of the three zinc acetate lozenge trials. The average effect of 2.7 days (95% CI 1.8-3.3 days) was inconsistent with the effects on short and long colds. The QTE approach may have broad usefulness for examining treatment effects on the duration of illness and hospital stay, and on other similar outcomes.
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Affiliation(s)
- Harri Hemilä
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Elizabeth Chalker
- Biological Data Science Institute, Australian National University, Canberra, ACT, Australia
| | - Janne Tukiainen
- Department of Economics, University of Turku, Turku, Finland
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9
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Mayfield CA, Geraci M, Dulin M, Eberth JM, Merchant AT. Social and demographic characteristics of frequent or high-charge emergency department users: A quantile regression application. J Eval Clin Pract 2021; 27:1271-1280. [PMID: 33511747 DOI: 10.1111/jep.13537] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Revised: 12/18/2020] [Accepted: 01/04/2021] [Indexed: 12/21/2022]
Abstract
OBJECTIVE Heavy users of the emergency department (ED) are a heterogeneous population. Few studies have captured the social and demographic complexity of patients with the largest burden of ED use. Our objective was to model associations between social and demographic patient characteristics and quantiles of the distributions of ED use, defined as frequent and high-charge. METHODS We conducted a cross-sectional analysis of electronic health and billing records of 99 637 adults residing in an urban North Carolina county who visited an ED within Atrium Health, a large integrated health care system, in 2017. Mid-quantile and standard quantile regression models were used for count and continuous responses, respectively. Frequent and high-charge use outcomes were defined as the median (0.50) and upper quantiles (0.75, 0.95, 0.99) of the outcome distributions for total billed ED visits and associated charges during the study period. Patient characteristic predictors were: insurance coverage (Medicaid, Medicare, private, uninsured), total visits to ambulatory care during the study period (0, 1, >1), and patient demographics: age, gender, race, ethnicity, and living in an underprivileged community called a public health priority area (PHPA). RESULTS Results showed heterogeneous relationships that were stronger at higher quantiles. Having Medicaid or Medicare insurance was positively associated with ED visits and ED charges at most quantiles. Racial and geographic disparities were observed. Black patients had more ED visits and lower ED charges than their White counterparts at most quantiles of the outcome distributions. Patients living in PHPAs, had lower charges than their counterparts at the median but higher charges at the 0.95 and 0.99 quantiles. CONCLUSIONS The relationships between patient characteristics and frequent and high-charge use of the ED vary based on the level of use. These findings can be used to inform targeted interventions, tailored policy, and population health management initiatives.
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Affiliation(s)
- Carlene A Mayfield
- Department of Community Health, Atrium Health, Charlotte, North Carolina, USA
| | - Marco Geraci
- MEMOTEF Department, School of Economics, Sapienza, University of Rome, Rome, Italy.,Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, USA
| | - Michael Dulin
- Academy for Population Health Innovation, University of North Carolina Charlotte and Mecklenburg County Health Department, Charlotte, North Carolina, USA
| | - Jan M Eberth
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, USA.,Rural and Minority Health Research Center, University of South Carolina, Arnold School of Public Health, Columbia, South Carolina, USA
| | - Anwar T Merchant
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, USA
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10
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Fei Z, Zheng Q, Hong HG, Li Y. Inference for High-Dimensional Censored Quantile Regression. J Am Stat Assoc 2021. [DOI: 10.1080/01621459.2021.1957900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
- Zhe Fei
- Department of Biostatistics, University of California, Los Angeles, CA
| | - Qi Zheng
- Department of Bioinformatics and Biostatistics, University of Louisville, KY
| | - Hyokyoung G. Hong
- Department of Statistics and Probability, Michigan State University, East Lansing, MI
| | - Yi Li
- Department of Biostatistics, University of Michigan, Ann Arbor, MI
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11
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Hemilä H, Chalker E. Carrageenan nasal spray may double the rate of recovery from coronavirus and influenza virus infections: Re-analysis of randomized trial data. Pharmacol Res Perspect 2021; 9:e00810. [PMID: 34128358 PMCID: PMC8204093 DOI: 10.1002/prp2.810] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Accepted: 05/02/2021] [Indexed: 01/01/2023] Open
Abstract
In this individual patient data meta-analysis we examined datasets of two randomized placebo-controlled trials which investigated the effect of nasal carrageenan separately on children and adults. In both trials, iota-carrageenan was administered nasally three times per day for 7 days for patients with the common cold and follow-up lasted for 21 days. We used Cox regression to estimate the effect of carrageenan on recovery rate. We also used quantile regression to calculate the effect of carrageenan on colds of differing lengths. Nasal carrageenan increased the recovery rate from all colds by 54% (95% CI 15%-105%; p = .003). The increase in recovery rate was 139% for coronavirus infections, 119% for influenza A infections, and 70% for rhinovirus infections. The mean duration of all colds in the placebo groups of the first four quintiles were 4.0, 6.8, 8.8, and 13.7 days, respectively. The fifth quintile contained patients with censored data. The 13.7-day colds were shortened by 3.8 days (28% reduction), and 8.8-day colds by 1.3 days (15% reduction). Carrageenan had no meaningful effect on shorter colds. In the placebo group, 21 patients had colds lasting over 20 days, compared with six patients in the carrageenan group, which corresponds to a 71% (p = .003) reduction in the risk of longer colds. Given that carrageenan has an effect on diverse virus groups, and effects at the clinical level on two old coronaviruses, it seems plausible that carrageenan may have an effect on COVID-19. Further research on nasal iota-carrageenan is warranted.
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Affiliation(s)
- Harri Hemilä
- Department of Public HealthUniversity of HelsinkiHelsinkiFinland
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12
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Hemilä H, Carr A, Chalker E. Vitamin C May Increase the Recovery Rate of Outpatient Cases of SARS-CoV-2 Infection by 70%: Reanalysis of the COVID A to Z Randomized Clinical Trial. Front Immunol 2021; 12:674681. [PMID: 34040614 PMCID: PMC8141621 DOI: 10.3389/fimmu.2021.674681] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Accepted: 04/21/2021] [Indexed: 12/19/2022] Open
Affiliation(s)
- Harri Hemilä
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Anitra Carr
- Department of Pathology and Biomedical Science, University of Otago, Christchurch, New Zealand
| | - Elizabeth Chalker
- School of Public Health, University of Sydney, Sydney, NSW, Australia
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13
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Feng M, Zhang X, Wu WW, Chen ZH, Oliver BG, McDonald VM, Zhang HP, Xie M, Qin L, Zhang J, Wang L, Li WM, Wang G, Gibson PG. Clinical and Inflammatory Features of Exacerbation-Prone Asthma: A Cross-Sectional Study Using Multidimensional Assessment. Respiration 2020; 99:1109-1121. [PMID: 33271561 DOI: 10.1159/000510793] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Accepted: 08/06/2020] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Reducing asthma exacerbations is a major target of current clinical guidelines, but identifying features of exacerbation-prone asthma (EPA) using multidimensional assessment (MDA) is lacking. OBJECTIVE To systemically explore the clinical and inflammatory features of adults with EPA in a Chinese population. METHODS We designed a cross-sectional study using the Severe Asthma Web-based Database from the Australasian Severe Asthma Network (ASAN). Eligible Chinese adults with asthma (n = 546) were assessed using MDA. We stratified patients based on exacerbation frequency: none, few (1 or 2), and exacerbation prone (≥3). Univariate and multivariable negative binomial regression analyses were performed to investigate features associated with the frequency of exacerbations. RESULTS Of 546 participants, 61.9% had no exacerbations (n = 338), 29.6% had few exacerbations (n = 162), and 8.4% were exacerbation prone (n = 46) within the preceding year. EPA patients were characterized by elevated blood and sputum eosinophils but less atopy, with more controller therapies but worse asthma control and quality of life (all p < 0.05). In multivariable models, blood and sputum eosinophils (adjusted rate ratio = 2.23, 95% confidence interval = [1.26, 3.84] and 1.67 [1.27, 2.21], respectively), FEV1 (0.90 [0.84, 0.96]), bronchodilator responsiveness (1.16 [1.05, 1.27]), COPD (2.22 [1.41, 3.51]), bronchiectasis (2.87 [1.69, 4.89]), anxiety (2.56 [1.10, 5.95]), and depression (1.94 [1.20, 3.13]) were found. Further, upper respiratory tract infection (1.83 [1.32, 2.54]) and food allergy (1.67 [1.23, 2.25]) were at high risk of asthma symptom triggers. CONCLUSION EPA is a clinically recognizable phenotype associated with several recognizable traits that could be addressed by targeted treatment.
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Affiliation(s)
- Min Feng
- Pneumology Group, Department of Integrated Traditional Chinese and Western Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, China.,Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, China.,Laboratory of Pulmonary Immunology and Inflammation, Frontiers Science Center for Disease-related Molecular Network, Sichuan University, Chengdu, China
| | - Xin Zhang
- Pneumology Group, Department of Integrated Traditional Chinese and Western Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, China.,Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, China.,Laboratory of Pulmonary Immunology and Inflammation, Frontiers Science Center for Disease-related Molecular Network, Sichuan University, Chengdu, China
| | - Wen Wen Wu
- Pneumology Group, Department of Integrated Traditional Chinese and Western Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, China
| | - Zhi Hong Chen
- Shanghai Institute of Respiratory Disease, Respiratory Division of Zhongshan Hospital, Fudan University, Shanghai, China
| | - Brian G Oliver
- School of Life Sciences, University of Technology Sydney, Ultimo, New South Wales, Australia.,Respiratory Cellular and Molecule Biology, Woolcock Institute of Medical Research, The University of Sydney, Sydney, New South Wales, Australia
| | - Vanessa M McDonald
- Priority Research Centre for Healthy Lungs, Hunter Medical Research Institute, The University of Newcastle, Newcastle, New South Wales, Australia
| | - Hong Ping Zhang
- Pneumology Group, Department of Integrated Traditional Chinese and Western Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, China
| | - Min Xie
- Department of Respiratory and Critical Care Medicine, Tongji Hospital, Huazhong University of Science & Technology, Wuhan, China
| | - Ling Qin
- Department of Respiratory and Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, China
| | - Jie Zhang
- Department of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Jilin University, Changchun, China
| | - Lei Wang
- Pneumology Group, Department of Integrated Traditional Chinese and Western Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, China.,Laboratory of Pulmonary Immunology and Inflammation, Frontiers Science Center for Disease-related Molecular Network, Sichuan University, Chengdu, China
| | - Wei Min Li
- Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, China
| | - Gang Wang
- Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, China, .,Laboratory of Pulmonary Immunology and Inflammation, Frontiers Science Center for Disease-related Molecular Network, Sichuan University, Chengdu, China,
| | - Peter G Gibson
- Priority Research Centre for Healthy Lungs, Hunter Medical Research Institute, The University of Newcastle, Newcastle, New South Wales, Australia
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14
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Meisel P, Pink C, Pitchika V, Nauck M, Völzke H, Kocher T. Competing interplay between systemic and periodontal inflammation: obesity overrides the impact of oral periphery. Clin Oral Investig 2020; 25:2045-2053. [PMID: 32827080 PMCID: PMC8238770 DOI: 10.1007/s00784-020-03514-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Accepted: 08/06/2020] [Indexed: 12/19/2022]
Abstract
Objectives We aimed at investigating whether the interaction between the local inflammation, periodontitis, and obesity is independently associated with systemic inflammation. Methods From the population-based Study of Health in Pomerania, 3366 participants, without (2366) and with (1000) obesity, were studied for the association of periodontitis, measured as probing depth (PD) and plaque together with body mass index (BMI) on C-reactive protein (CRP). Quantile regression was used to evaluate the association between periodontal, anthropometric, and inflammatory variables (outcomes). Results The overall prevalence of obesity in this adult population was 31.4% in men and 28.1% in women. Both PD and plaque were positively associated with CRP, revealing an increasing impact across the CRP concentration distribution. Adjusting the regression of CRP or fibrinogen on PD for waist circumference attenuated but did not abolish the PD coefficients. Dental plaque was similarly associated with these interrelations. Association between PD and a dental plaque was different among participants with low-, medium-, or high-risk CRP concentrations. Conclusion Local and systemic sources of inflammation contribute to blood levels of inflammatory markers. The respective contributions depend on the relative rate in each of the inflammation-inducing risks and are dominated by adiposity. Clinical relevance Keeping systemic inflammation low in order to prevent age-related disease sequelae. Electronic supplementary material The online version of this article (10.1007/s00784-020-03514-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Peter Meisel
- Dental Clinics, Department of Periodontology, School of Dentistry, University Medicine Greifswald, Fleischmann-Strasse 42, D-17475, Greifswald, Germany.
| | - Christiane Pink
- Dental Clinics, Department of Periodontology, School of Dentistry, University Medicine Greifswald, Fleischmann-Strasse 42, D-17475, Greifswald, Germany
| | - Vinay Pitchika
- Dental Clinics, Department of Periodontology, School of Dentistry, University Medicine Greifswald, Fleischmann-Strasse 42, D-17475, Greifswald, Germany
| | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Diagnostics, Greifswald, Germany.,DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, University Medicine, Greifswald, Germany
| | - Henry Völzke
- DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, University Medicine, Greifswald, Germany.,Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Thomas Kocher
- Dental Clinics, Department of Periodontology, School of Dentistry, University Medicine Greifswald, Fleischmann-Strasse 42, D-17475, Greifswald, Germany
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