Atrial Fibrillation Following Surgical Management of Ischemic Heart Disease; One Year, Single Center, Single Surgeon Results

2012 ◽  
Vol 15 (2) ◽  
pp. 65-74
Author(s):  
Ahmet Barış Durukan ◽  
Hasan Alper Gürbüz ◽  
Elif Durukan ◽  
Murat Tavlaşoğlu ◽  
Ertekin Utku Ünal ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Heart Disease ◽  
Ischemic Heart Disease ◽  
Surgical Management ◽  
Ischemic Heart ◽  
Single Center ◽  
One Year

scholarly journals Clinical and Etiological Profile of Patients with Atrial Fibrillation (AF): Analysis and implications

2017 ◽  
Vol 4 (1) ◽  
pp. 5-12
Author(s):  
Ram Narayan Mandal ◽  
Ajay Kumar Mishra ◽  
Elena Leonidovna Mandal
Keyword(s):  
Atrial Fibrillation ◽  
Heart Disease ◽  
Ischemic Heart Disease ◽  
Dilated Cardiomyopathy ◽  
Rheumatic Heart Disease ◽  
Ischemic Heart ◽  
Systemic Hypertension ◽  
Clinical Hospital ◽  
Medical College ◽  
Rheumatic Heart

Background and Objectives: Atrial fibrillation (AF) is a frequently encountered cardiac arrhythmia which may be either symptomatic or asymptomatic. So, this study was conducted to know clinical presentation and to find out possible clinical and etiological profile of patients with AF.Material and Methods: This cross sectional study was conducted at Osh Regional Integrated Clinical Hospital, Osh Territorial City Clinical Hospital, The Kyrgyz Republic in collaboration with Janaki Medical College Teaching Hospital, Janakpurdham, Nepal. Sixty consecutive patients with AF were taken. Presenting complaints, past history, personal history was recorded. A thorough clinical examination was done, electrocardiogram, chest X-Ray posterio-anterior view, echocardiogram, thyroid function test and relevant test were done and analyzed.Results: Forty percent of the patients complained palpitation. Systemic thrombo-embolism was found in 15% of the patients. Other presenting complaints were cough, chest pain, shortness of breath, dizziness, swelling of the legs, tremors. Eighteen percent of patients presented with features of congestive cardiac failure and 30% of the patients gave history of rheumatic heart disease, 16.6% and 11.6% hypertension and ischemic heart disease respectively. Etiology-wise, rheumatic heart disease was the most common (46.6%) followed by hypertension (21.6%), ischemic heart disease (11.6%), dilated cardiomyopathy (6.6%), hyperthyroidism (5%), pneumonia (5%).Conclusion: Rheumatic heart disease, especially mitral stenosis is the most common cause of AF in this study. Systemic hypertension was next common etiology of AF, followed by ischaemic heart disease, dilated cardiomyopathy, thyroid disease. Heart failure, Systemic thromboembolism, decreased exercise tolerance are a major determinants for development of significant morbidity and mortality.Janaki Medical College Journal of Medical Sciences (2016) Vol. 4 (1): 5-12

Improving Medical Attention Through an Integral Care Model for Patients With Ischemic Heart Disease or Atrial Fibrillation

2019 ◽  
Vol 72 (9) ◽  
pp. 779-781
Author(s):  
Román Freixa-Pamias ◽  
Pedro Blanch Gràcia ◽  
Maria Lluïsa Rodríguez Latre ◽  
Luca Basile ◽  
Pilar Sánchez Chamero ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Heart Disease ◽  
Ischemic Heart Disease ◽  
Ischemic Heart ◽  
Medical Attention ◽  
Care Model

scholarly journals Surgical Management for Arteriosclerosis Obliterans Complicated with Ischemic Heart Disease

1995 ◽  
Vol 24 (4) ◽  
pp. 238-242 ◽  
Author(s):  
Kiyoshi Inoue ◽  
Kanji Kawachi ◽  
Tetsuji Kawata ◽  
Shuichi Kobayashi ◽  
Hiroaki Nishioka ◽  
...  
Keyword(s):  
Heart Disease ◽  
Ischemic Heart Disease ◽  
Surgical Management ◽  
Ischemic Heart ◽  
Arteriosclerosis Obliterans

scholarly journals Patterns of Changes in the Psycho-emotional Background in Patients with Stable Coronary Heart Disease, Complicated By Atrial Fibrillation

2019 ◽  
Vol 26 (2) ◽  
Author(s):  
Lesia Serediuk ◽  
Ihor Vakalyuk ◽  
Halyna Kerniakevych
Keyword(s):  
Atrial Fibrillation ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Ischemic Heart Disease ◽  
Stress Level ◽  
Ischemic Heart ◽  
Stable Ischemic Heart Disease ◽  
Constant Form ◽  
Stable Coronary Heart Disease ◽  
Echocardiographic Parameters

The objective is to investigate the influence of stress on the clinical and pathogenetic peculiarities of the course of stable coronary heart disease (SIHD) in conjunction with atrial fibrillation (AF). Materials and methods. The analysis of psychodiagnostic tests, labolatory and instrumental research methods in patients with and without AF has been performed. Patients were divided into three groups: group 1 – patients with stable ischemic heart disease (SIHD) with a constant form of AF (15 patients were examined), group 2 – patients with SIHD with paroxysmal form of AF (16 patients were examined), group 3 – patients with SIHD without AF (15 patients were examined). Results. According to the analysis of the data obtained, low level of stress was found in 6 (37.50%) patients with a permanent form of AF, whereas in patients without AF, it was observed in 1 (6.67%) person (p1<0.05) (p1 – the reliability of the differences in indicators relative to patients without AF). Moderate somatic disorder in women with paroxysmal AF was significantly higher than in the group of patients with a constant form of AF (p2<0.05) (p2 – the reliability of the differences in the indicators relative to patients with a constant form of AF). It is confirmed in patients with AF there are signs of the average stress level on the perceived stress level-10 (p2<0.05). Among the social factors that may have an impact on health are the influence of the media, the use of alcohol by relatives, the threat of unemployment for relatives and friends. These indicators were most often found in the group of patients with AF rather than without it (p2<0.05). Changes of ECG and echocardiographic parameters in all groups of patients were revealed. Conclusion. The association of stress with stable ischemic heart disease combined with atrial fibrillation has shown that stress disorders are associated with an increased risk of atrial fibrillation and may worsen their course and predict the risk of developing paroxysm. The dependence between the severity of clinical manifestations, psychodiagnostic tests, laboratory methods, ECG and echocardiographic parameters of the heart on the course of atrial fibrillation is proved.

Abstract 325: Readmission among Hospitalized Patients with Non-Valvular Atrial Fibrillation

2012 ◽  
Vol 5 (suppl_1) ◽  
Author(s):  
Karen E Smoyer-Tomic ◽  
Kimberly Siu ◽  
Barbara Johnson ◽  
David R Walker ◽  
Stephen Sander ◽  
...  
Keyword(s):  
Risk Factors ◽  
Atrial Fibrillation ◽  
Heart Disease ◽  
Ischemic Heart Disease ◽  
Cerebrovascular Disease ◽  
Readmission Rate ◽  
Ischemic Heart ◽  
Index Admission ◽  
Readmission Rates ◽  
Diagnosis Codes

Background: An important goal of healthcare reform is reducing the need for hospital readmissions. This study examined readmission rates, reasons for readmissions, and risk factors associated with readmissions in non-valvular atrial fibrillation (NVAF) patients, which may facilitate identification of potential gaps in care. Methods: Patients with AF hospitalizations in any diagnostic position in 2004-2009 were extracted from a large, national commercial and Medicare supplemental administrative claims database. Patients with valvular or transient causes of AF, under the age of 18 years, pregnant, or dead at discharge were excluded from the study. All patients had at least 30 days follow up from the index hospitalization discharge date. Readmission rate within 30 days of discharge date was calculated. Reasons for readmission were reported by ICD-9 diagnosis codes in the primary position. ICD-9 diagnosis codes were grouped into common acute conditions (e.g., ischemic heart disease, cerebrovascular disease) and reported. Logistic regression analyses were conducted to identify risk factors for readmission, controlling for patients’ demographic and clinical characteristics. Results: A total of 6439 patients met the study criteria. The overall 30-day readmission rate was 18.0%. Readmission rates for patients with AF as primary or secondary diagnosis in index admissions were 11.8% and 20.3%, respectively (p<0.001). Readmissions on average occurred 9.7 (SD 9.0) days from index admission discharge, with a mean readmission length of stay (LOS) of 7.4 (SD 8.0) days. The 4 most common grouped diagnoses for readmissions were AF (ICD-9 code 427.31, 10.2% of all readmissions), ischemic heart disease (IHD; 410.xx - 414.xx, 7.2%), heart failure (HF; 428.xx, 7.1%), and cerebrovascular disease (CVD; 430.xx - 438.xx, 6.0%). Longer LOS in the index admission, higher Charlson comorbidity index, and emergency room admission for the index admission all significantly increased the likelihood of having a readmission (p<0.001 in all cases). Patients discharged to home from index admission, patients with AF as primary diagnosis in index admissions, and patients living in the South region were less likely to be readmitted (p<0.01 in all cases). Conclusions: Almost one fifth of patients with NVAF were readmitted within 30 days of discharge. AF, IHD, HF, and CVD were the most common reasons for readmission. Identification of risk factors for readmission may assist healthcare providers in targeting good clinical practice aimed at improving quality of care and reducing the need for readmissions.

Patient-reported health and 1-year mortality in patients with ischemic heart disease – findings from the Denheart study

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
T Rasmussen ◽  
B Borregaard ◽  
P Palm ◽  
R Mols ◽  
A.V Christensen ◽  
...  
Keyword(s):  
Heart Disease ◽  
Ischemic Heart Disease ◽  
Roc Curves ◽  
Screening Tools ◽  
Ischemic Heart ◽  
Time To Death ◽  
Patient Reported ◽  
Returning Home ◽  
One Year ◽  
Pro Instruments

Abstract Background Though survival has improved markedly in ischemic heart disease (IHD), it remains a leading cause of death worldwide. Screening tools to identify patients at risk are ever in demand. Large-scale studies exploring the association between patients' self-reported mental and physical health and mortality are lacking. Purpose (i) to describe patient-reported outcomes (PROs) at discharge in IHD patients deceased and alive at one year, (ii) to investigate the discriminant predictive performance of PRO instruments on mortality, (iii) to investigate differences in time to death among survey responders/non-responders and among three diagnostic sub-groups (chronic ischemic heart disease/stable angina, non-STEMI/unstable angina and STEMI), and (iv) to investigate predictors of one-year mortality among sociodemographic, clinical and self-reported factors. Methods Data from the national DenHeart survey with register-data linkage was used. A total of 14,115 adults with IHD were discharged during one year. Eligible (n=13,476) were invited to complete a questionnaire and 7,167 (53%) responded. Questionnaires included the Health survey short form 12-items (SF-12), Hospital Anxiety and Depression Scale (HADS), EuroQoL-5-dimensions (EQ-5D), HeartQoL, Edmonton Symptom Assessment Scale (ESAS) and ancillary questions. Clinical and demographic characteristics were obtained from registries as were data on one-year mortality. Comparative analyses investigated differences in PROs, and discriminant PRO-performance was explored by Receiver Operating Characteristics (ROC) curves. Kaplan-Meier survival analysis explored differences in time to death across sub-groups. Predictors of mortality were explored using multifactorially adjusted cox regression analyses with time to death as underlying timescale. Results Highly significant and clinically important differences in PROs were found between those alive and those deceased at one year. The best discriminant performance was observed for the physical component scale of the SF-12 (Area Under the Curve (AUC) 0.706) (Figure 1). One-year mortality among responders and non-responders was 2% and 7%, respectively. Significant differences in time to death was observed between responders and non-responders (p&lt;0.001) and among diagnostic subgroups (p&lt;0.001). Strongest predictors of one-year mortality included STEMI (hazard ratio (HR) 2.9 95% confidence interval (CI) 2.3–3.7), Tu comorbidity index score 3+ (HR 3.6, 95% CI 2.7–4.8) and patient-reported feeling unsafe about returning home from hospital (HR 2.07, 95% CI 1.2–3.61). Conclusions One-year post-discharge mortality was expectedly low, however notably higher in certain subgroups. Though clinical predictors may be difficult to modify, factors such as feeling unsafe about returning home should be addressed at discharge. PRO-performance estimates may guide clinicians and researchers in choosing appropriate predictive patient-reported outcome tools. Figure 1. PRO instruments ROC curves Funding Acknowledgement Type of funding source: None

Sign in / Sign up

Export Citation Format

Share Document