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Fredman G, Serhan CN. Specialized pro-resolving mediators in vascular inflammation and atherosclerotic cardiovascular disease. Nat Rev Cardiol 2024:10.1038/s41569-023-00984-x. [PMID: 38216693 DOI: 10.1038/s41569-023-00984-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/07/2023] [Indexed: 01/14/2024]
Abstract
Timely resolution of the acute inflammatory response (or inflammation resolution) is an active, highly coordinated process that is essential to optimal health. Inflammation resolution is regulated by specific endogenous signalling molecules that function as 'stop signals' to terminate the inflammatory response when it is no longer needed; to actively promote healing, regeneration and tissue repair; and to limit pain. Specialized pro-resolving mediators are a superfamily of signalling molecules that initiate anti-inflammatory and pro-resolving actions. Without an effective and timely resolution response, inflammation can become chronic, a pathological state that is associated with many widely occurring human diseases, including atherosclerotic cardiovascular disease. Uncovering the mechanisms of inflammation resolution failure in cardiovascular diseases and identifying useful biomarkers for non-resolving inflammation are unmet needs. In this Review, we discuss the accumulating evidence that supports the role of non-resolving inflammation in atherosclerosis and the use of specialized pro-resolving mediators as therapeutic tools for the treatment of atherosclerotic cardiovascular disease. We highlight open questions about therapeutic strategies and mechanisms of disease to provide a framework for future studies on the prevention and treatment of atherosclerosis.
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Affiliation(s)
- Gabrielle Fredman
- Department of Molecular and Cellular Physiology, Albany Medical College, Albany, NY, USA.
| | - Charles N Serhan
- Center for Experimental Therapeutics and Reperfusion Injury, Department of Anaesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
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2
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Khater WA, Alfarkh MA, Allnoubani A. The Association Between Vitamin D Level and Chest Pain, Anxiety, and Fatigue in Patients With Coronary Artery Disease. Clin Nurs Res 2023; 32:639-647. [PMID: 36205377 DOI: 10.1177/10547738221126325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
This study sought to assess the association between vitamin D deficiency (VDD) and chest pain, anxiety, and fatigue in patients with coronary artery disease (CAD). A cross-sectional study was conducted to collect data from a sample of 90 participants with CAD. Serum 25OHD3 was measured using a radioimmunoassay procedure. Chest pain was assessed using the Numeric Pain Rating Scale, anxiety using the Anxiety Subscale, and fatigue by the General Fatigue subscale. The majority of participants (80%) had VDD. Results showed that the level of vitamin D was significantly negatively associated with chest pain (r = -.43, p = .00); anxiety (r = -.466, p = .00); and fatigue (r = -.25, p = .018). Findings suggest the role of VDD in heightened central sensitivity in cardiac-related symptoms such as chest pain, anxiety, and fatigue. Patients with CAD should be monitored for VDD so that the condition can be corrected.
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Muacevic A, Adler JR. Readmission Within the First Day of Discharge Is Painful: Experience From an Australian General Surgical Service. Cureus 2022; 14:e32209. [PMID: 36505950 PMCID: PMC9728989 DOI: 10.7759/cureus.32209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/05/2022] [Indexed: 12/12/2022] Open
Abstract
Background Unplanned readmission to the hospital after discharge is a costly issue for healthcare systems and patients. It is a delicate balance between the resolution of the surgical problem and the length of hospital stay. Most studies have focused on readmissions within 28 or 30 days after discharge, despite data showing that many occur early in this period. This study examined the reasons for unplanned readmission within the first day after discharge. Methods A retrospective cohort analysis of readmissions between 1st May 2016 and 1st May 2021 was undertaken by chart review. Readmissions on the "day of" and the "day after" discharge and their respective index admissions were identified via the hospital's patient administration database, webPAS (DXC Technology, USA). Results There were 126 readmissions (0.5%) across 25,119 admissions. Common reasons for readmission were pain (28%, n=35), readmission for the same diagnosis (21%, n=26), surgical site infection (SSI) (11%, n=14), bleeding (11%, n=14) and ileus (6%, n=7). Analysis of index admissions showed that 18/35 readmissions for pain had inadequate pain management based on pain scores, analgesic use and discharge medications and 7/14 readmissions for SSI did not have appropriate treatment of a recognised SSI or did not have antibiotic prophylaxis guidelines adhered to. Fourteen of 26 readmissions for the same diagnosis received just continuation of treatment initiated at index admission. Conclusion Pain is the most common reason for readmission within the first day after discharge in surgical patients. Better pain management, following antibiotic prophylaxis guidelines, and involving patients in discharge planning could prevent many readmissions.
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Chen J, Wijesundara JG, Patterson A, Cutrona SL, Aiello S, McManus DD, McKee MD, Wang B, Houston TK. Facilitators and barriers to post-discharge pain assessment and triage: a qualitative study of nurses' and patients' perspectives. BMC Health Serv Res 2021; 21:1021. [PMID: 34583702 PMCID: PMC8480104 DOI: 10.1186/s12913-021-07031-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2021] [Accepted: 09/11/2021] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND After hospital discharge, patients can experience symptoms prompting them to seek acute medical attention. Early evaluation of patients' post-discharge symptoms by healthcare providers may improve appropriate healthcare utilization and patient safety. Post-discharge follow-up phone calls, which are used for routine transitional care in U.S. hospitals, serve as an important channel for provider-patient communication about symptoms. This study aimed to assess the facilitators and barriers to evaluating and triaging pain symptoms in cardiovascular patients through follow-up phone calls after their discharge from a large healthcare system in Central Massachusetts. We also discuss strategies that may help address the identified barriers. METHODS Guided by the Practical, Robust, Implementation and Sustainability Model (PRISM), we completed semi-structured interviews with 7 nurses and 16 patients in 2020. Selected nurses conducted (or supervised) post-discharge follow-up calls on behalf of 5 clinical teams (2 primary care; 3 cardiology). We used thematic analysis to identify themes from interviews and mapped them to the domains of the PRISM model. RESULTS Participants described common facilitators and barriers related to the four domains of PRISM: Intervention (I), Recipients (R), Implementation and Sustainability Infrastructure (ISI), and External Environment (EE). Facilitators include: (1) patients being willing to receive provider follow-up (R); (2) nurses experienced in symptom assessment (R); (3) good care coordination within individual clinical teams (R); (4) electronic health record system and call templates to support follow-up calls (ISI); and (5) national and institutional policies to support post-discharge follow-up (EE). Barriers include: (1) limitations of conducting symptom assessment by provider-initiated follow-up calls (I); (2) difficulty connecting patients and providers in a timely manner (R); (3) suboptimal coordination for transitional care among primary care and cardiology providers (R); and (4) lack of emphasis on post-discharge follow-up call reimbursement among cardiology clinics (EE). Specific barriers for pain assessment include: (1) concerns with pain medication misuse (R); and (2) no standardized pain assessment and triage protocol (ISI). CONCLUSIONS Strategies to empower patients, facilitate timely patient-provider communication, and support care coordination regarding pain evaluation and treatment may reduce the barriers and improve processes and outcomes of pain assessment and triage.
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Affiliation(s)
- Jinying Chen
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, 368 Plantation Street, Worcester, MA, 01605, USA.
| | - Jessica G Wijesundara
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, 368 Plantation Street, Worcester, MA, 01605, USA
| | - Angela Patterson
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, 368 Plantation Street, Worcester, MA, 01605, USA
| | - Sarah L Cutrona
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, 368 Plantation Street, Worcester, MA, 01605, USA
| | | | - David D McManus
- Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - M Diane McKee
- Department of Family Medicine and Community Health, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Bo Wang
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, 368 Plantation Street, Worcester, MA, 01605, USA
| | - Thomas K Houston
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
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Chen J, Kiefe CI, Gagnier M, Lessard D, McManus D, Wang B, Houston TK. Non-specific pain and 30-day readmission in acute coronary syndromes: findings from the TRACE-CORE prospective cohort. BMC Cardiovasc Disord 2021; 21:383. [PMID: 34372783 PMCID: PMC8351351 DOI: 10.1186/s12872-021-02195-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Accepted: 07/27/2021] [Indexed: 12/26/2022] Open
Abstract
Background Patients with acute coronary syndromes often experience non-specific (generic) pain after hospital discharge. However, evidence about the association between post-discharge non-specific pain and rehospitalization remains limited. Methods We analyzed data from the Transitions, Risks, and Actions in Coronary Events Center for Outcomes Research and Education (TRACE-CORE) prospective cohort. TRACE-CORE followed patients with acute coronary syndromes for 24 months post-discharge from the index hospitalization, collected patient-reported generic pain (using SF-36) and chest pain (using the Seattle Angina Questionnaire) and rehospitalization events. We assessed the association between generic pain and 30-day rehospitalization using multivariable logistic regression (N = 787). We also examined the associations among patient-reported pain, pain documentation identified by natural language processing (NLP) from electronic health record (EHR) notes, and the outcome. Results Patients were 62 years old (SD = 11.4), with 5.1% Black or Hispanic individuals and 29.9% women. Within 30 days post-discharge, 87 (11.1%) patients were re-hospitalized. Patient-reported mild-to-moderate pain, without EHR documentation, was associated with 30-day rehospitalization (odds ratio [OR]: 2.03, 95% confidence interval [CI]: 1.14–3.62, reference: no pain) after adjusting for baseline characteristics; while patient-reported mild-to-moderate pain with EHR documentation (presumably addressed) was not (OR: 1.23, 95% CI: 0.52–2.90). Severe pain was also associated with 30-day rehospitalization (OR: 3.16, 95% CI: 1.32–7.54), even after further adjusting for chest pain (OR: 2.59, 95% CI: 1.06–6.35). Conclusions Patient-reported post-discharge generic pain was positively associated with 30-day rehospitalization. Future studies should further disentangle the impact of cardiac and non-cardiac pain on rehospitalization and develop strategies to support the timely management of post-discharge pain by healthcare providers. Supplementary Information The online version contains supplementary material available at 10.1186/s12872-021-02195-z.
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Affiliation(s)
- Jinying Chen
- Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, 368 Plantation Street, Worcester, MA, 01605, USA.
| | - Catarina I Kiefe
- Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, 368 Plantation Street, Worcester, MA, 01605, USA
| | | | - Darleen Lessard
- Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, 368 Plantation Street, Worcester, MA, 01605, USA
| | - David McManus
- Department of Medicine, University of Massachusetts Medical School, Worcester, MA, USA
| | - Bo Wang
- Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, 368 Plantation Street, Worcester, MA, 01605, USA
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Abstract
Medically unexplained symptoms or persistent physical symptoms are common, real and are associated with significant distress, loss of functioning and high healthcare costs. History, examination and appropriate investigations are essential to make a diagnosis. Once the diagnosis has been made, exploring the impact of the symptoms helps us to tailor our advice to patients. This paper sets out a practical approach to taking a history, assessment and stepwise management principles.
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Affiliation(s)
- Mujtaba Husain
- South London and Maudsley NHS Foundation Trust (SLaM), London, UK
| | - Trudie Chalder
- King's College London, London, UK and South London and Maudsley NHS Foundation Trust (SLaM), London, UK
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Wang Y, Leifheit E, Normand SLT, Krumholz HM. Association Between Subsequent Hospitalizations and Recurrent Acute Myocardial Infarction Within 1 Year After Acute Myocardial Infarction. J Am Heart Assoc 2020; 9:e014907. [PMID: 32172654 PMCID: PMC7335517 DOI: 10.1161/jaha.119.014907] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Background Patients who survive acute myocardial infarction (AMI) are at high risk for recurrence. We determined whether rehospitalizations after AMI further increased risk of recurrent AMI. Methods and Results The study included Medicare fee‐for‐service patients aged ≥65 years discharged alive after AMI from acute‐care hospitals in fiscal years 2009–2014. The outcome was recurrent AMI within 1 year of the index AMI. The Clinical Classifications Software (CCS) was used to classify rehospitalizations into disease categories. A Cox regression model was fit accounting for CCS‐specific hospitalizations as time‐varying variables and patient characteristics at discharge for the index AMI, adjusting for the competing risk of death. The rate of 1‐year recurrent AMI was 5.3% (95% CI, 5.27%–5.41%), and median (interquartile range) time from discharge to recurrent AMI was 115 (34–230) days. Eleven disease categories (diabetes mellitus, anemia, hypertension, coronary atherosclerosis, chest pain, heart failure, pneumonia, chronic obstructive pulmonary disease, gastrointestinal hemorrhage, renal failure, complication of implant or graft) were associated with increased risk of recurrent AMI. Septicemia was associated with lower recurrence risk. Hazard ratios ranged from 1.6 (95% CI, 1.55–1.70, heart failure) to 1.1 (95% CI, 1.04–1.25, pneumonia) to 0.6 (95% CI, 0.58–0.71, septicemia). Conclusions Patient risk of recurrent AMI changed based on the occurrence of hospitalizations after the index AMI. Improving post–acute care to prevent unplanned rehospitalizations, especially rehospitalizations for chronic diseases, and extending the focus of outcomes measures to condition‐specific rehospitalizations within 30 days and beyond is important for the secondary prevention of AMI.
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Affiliation(s)
- Yun Wang
- Department of Biostatistics Harvard T.H. Chan School of Public Health Boston MA.,Center for Outcomes Research and Evaluation Yale-New Haven Hospital New Haven CT
| | - Erica Leifheit
- Department of Chronic Disease Epidemiology Yale School of Public Health New Haven CT
| | - Sharon-Lise T Normand
- Department of Biostatistics Harvard T.H. Chan School of Public Health Boston MA.,Department of Health Care Policy Harvard Medical School Boston MA
| | - Harlan M Krumholz
- Center for Outcomes Research and Evaluation Yale-New Haven Hospital New Haven CT.,Section of Cardiovascular Medicine Department of Internal Medicine Yale School of Medicine New Haven CT.,Department of Health Policy and Management Yale School of Public Health New Haven CT
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Wang H, Zhao T, Wei X, Lu H, Lin X. The prevalence of 30-day readmission after acute myocardial infarction: A systematic review and meta-analysis. Clin Cardiol 2019; 42:889-898. [PMID: 31407368 PMCID: PMC6788479 DOI: 10.1002/clc.23238] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2019] [Revised: 07/11/2019] [Accepted: 07/17/2019] [Indexed: 11/10/2022] Open
Abstract
Objective The 30‐day readmission is associated with increased medical costs, which has become an important quality metric in several medical institutions. This current study is aimed at clarifying the prevalence, the underlying risk factors, and reasons of the 30‐day readmission after acute myocardial infarction (AMI). Methods PubMed, Cochrane Library, and EMBASE were systematically searched to identify eligible studies. Random‐effect models were employed to perform pooled analyses. Means and 95% confidence intervals (CIs) were used to estimate prevalence and reasons for 30‐day readmission. We also used Odds ratios (ORs) to explore the potential significant predictors of risk factors of 30‐day readmission after AMI. Potential publication bias was assessed using funnel plot and Begg'test. Results A total of 14 relevant studies were included in this systematic review and meta‐analysis. The pooled 30‐day readmission rate of AMI was 12% (95% CI 0.11‐0.14). Acute coronary syndrome (ACS), angina and acute ischemic heart disease, and heart failure (HF) were the principal cardiovascular reasons of 30‐day readmission. Meanwhile, non‐specific chest pain was regarded as the significant cause among non‐cardiovascular reasons. The common co‐morbidities kidney disease, HF and diabetes mellitus were significant risk factors for 30‐day readmission. No significant publication bias was found by funnel plot and statistical tests. Conclusions The 30‐day readmission rate of post‐AMI ranged from 11% to 14% and can be mainly attributed to cardiovascular and non‐cardiovascular events. The common co‐morbidities, such as kidney disease, HF, and diabetes mellitus were significant risk factors for 30‐day readmission.
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Affiliation(s)
- Huijie Wang
- Department of Cardiology and Cardiovascular Intervention, Interventional Medical CenterThe Fifth Affiliated Hospital of Sun Yat‐sen UniversityZhuhaiPR China
| | - Ting Zhao
- Department of Cardiology and Cardiovascular Intervention, Interventional Medical CenterThe Fifth Affiliated Hospital of Sun Yat‐sen UniversityZhuhaiPR China
| | - Xiaoliang Wei
- Department of Cardiology and Cardiovascular Intervention, Interventional Medical CenterThe Fifth Affiliated Hospital of Sun Yat‐sen UniversityZhuhaiPR China
| | - Huifang Lu
- Department of Cardiology and Cardiovascular Intervention, Interventional Medical CenterThe Fifth Affiliated Hospital of Sun Yat‐sen UniversityZhuhaiPR China
| | - Xiufang Lin
- Department of Cardiology and Cardiovascular Intervention, Interventional Medical CenterThe Fifth Affiliated Hospital of Sun Yat‐sen UniversityZhuhaiPR China
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Sun L, Xia M, Tang Y, Jones PG. Bayesian adjustment for unidirectional misclassification in ordinal covariates. J STAT COMPUT SIM 2017. [DOI: 10.1080/00949655.2017.1370649] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Liangrui Sun
- Department of Statistics, University of Nebraska–Lincoln, Lincoln, NE, USA
| | - Michelle Xia
- Division of Statistics, Northern Illinois University, Dekalb, IL, USA
| | - Yuanyuan Tang
- Saint Luke's Mid America Heart Institute, Saint Luke's Hospital of Kansas City, Saint Luke's Health System, Kansas City, MO, USA
| | - Philip G. Jones
- Saint Luke's Mid America Heart Institute, Saint Luke's Hospital of Kansas City, Saint Luke's Health System, Kansas City, MO, USA
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