Factors influencing employment after minor stroke and NSTEMI.

AIM: To study the effect of cognitive function, fatigue and emotional symptoms on employment after a minor ischemic stroke compared to non-ST-elevation myocardial infarction (NSTEMI). MATERIAL AND METHODS: We included 217 patients with minor ischemic stroke and 133 NSTEMI patients employed at baseline aged 18-70 years. Minor stroke was defined as modified Rankin scale (mRS) 0-2 at day seven or at discharge if before. Included NSTEMI patients had the same functional mRS. We applied a selection of cognitive tests and the patients completed questionnaires measuring symptoms of anxiety, depression and fatigue at follow up. Stroke patients were tested at three and 12 months and NSTEMI at 12 months. RESULTS: The patients still employed at 12 monthswere significantly younger than the unemployed patients and the NSTEMI patients employed were significantly older than the stroke patients (59 vs 55 years, p < .001). In total, 82 % of stroke patients and 90 % of the NSTEMI patients employed at baseline were still employed at 12 months (p = 06). Stroke patients at work after 12 months had higher education than unemployed patients. There were no difference between employed and unemployed patients in risk factors or location of cerebral ischemic lesions. Cognitive function did not change significantly in the stroke patients from three to 12 months. For stroke patients, we found a significant association between HADS-depression and unemployment at 12 months (p = 04), although this association was not present at three months. Lower age and higher educational level were associated with employment at 12 months for all patients. DISCUSSION AND CONCLUSION: Age and education are the main factors influencing the ability to stay in work after a minor stroke. Employed stroke patients were younger than the NSTEMI patients, but there was no difference in the frequencies in remaining employed. The employment rate at 12 months was high despite the relatively high prevalence of cognitive impairment in both groups.

The relationship between frailty syndrome and quality of life in older patients following acute coronary syndrome.

Purpose: Elderly patients with ST-segment-elevation myocardial infarction (STEMI) have a high risk of mortality, which is particularly high in the first 30 days. Quality of life (QoL) and risk-benefit assessments are of pivotal importance in the elderly. The objective of this study is to assess the relationship between frailty syndrome (FS) and QoL in patients following acute coronary syndrome (ACS) non-ST elevation myocardial infarction (NSTEMI). Patients and Methods: The study involved 100 patients (61 men, 39 women, the average age: M ± SD =66.12±10.92 years). The study used standardized research tools: a questionnaire to assess QoL (World Health Organization Quality of Life Scale Brief version), and a questionnaire to assess FS (Tilburg Frailty Indicator). Results: FS occurred in 80% of patients after ACS. FS has a negative impact on the QoL of patients with ACS. The most important domain of FS in the studied group was the psychological: M ± SD=2.2±0.75 points. The greater FS in the physical domain, the lower the QoL in all areas. The greater FS in the social domain, the lower the QoL in psychological and social fields. Self-evaluation of patient QoL was M ± SD=3.68±0.71 points. Self-assessment of health was M ± SD=2.59±0.98 points. Conclusion: Patients with a coexisting FS have a poorer QoL in the physical, psychological, social, and environmental fields. For a multidisciplinary team, these findings can help make the therapeutic decision for frail patients who have poor QoL. Frailty among elderly patients with ACS can be considered as a determinant of high risk of adverse outcomes.

Frailty as an instrument for evaluation of elderly patients with non-ST-segment elevation myocardial infarction: A follow-up after more than 5 years.

BACKGROUND: There is a growing body of evidence on the relevance of using frailty measures also in a cardiovascular context. The estimated time to death is crucial in clinical decision-making in cardiology. However, data on the importance of frailty in long-term mortality are very scarce. The aim of the study was to assess the prognostic value of frailty on mortality at long-term follow-up of more than 5 years in patients 75 years or older hospitalised for non-ST-segment elevation myocardial infarction. We hypothesised that frailty is independently associated with long-term mortality. DESIGN: This was a prospective, observational study conducted at three centres. METHODS AND RESULTS: Frailty was assessed according to the Canadian Study of Health and Aging clinical frailty scale (CFS). Of 307 patients, 149 (48.5%) were considered frail according to the study instrument (degree 5-7 on the scale). The long-term all-cause mortality of more than 5 years (median 6.7 years) was significantly higher among frail patients (128, 85.9%) than non-frail patients (85, 53.8%), ( P < 0.001). In Cox regression analysis, frailty was independently associated with mortality from the index hospital admission to the end of follow-up (hazard ratio 2.06, 95% confidence interval 1.51-2.81; P < 0.001) together with age ( P < 0.001), ejection fraction ( P = 0.012) and Charlson comorbidity index ( P = 0.018). CONCLUSIONS: In elderly non-ST-segment elevation myocardial infarction patients, frailty was independently associated with all-cause mortality at long-term follow-up of more than 6 years. The combined use of frailty and comorbidity may be the ultimate risk prediction concept in the context of cardiovascular patients with complex needs.

Health-related quality of life in older patients with acute coronary syndrome randomised to an invasive or conservative strategy. The After Eighty randomised controlled trial.

Objective: in the After Eighty study (ClinicalTrials.gov.number, NCT01255540), patients aged 80 years or more, with non-ST-elevation myocardial infarction (NSTEMI), and unstable angina pectoris (UAP), were randomised to either an invasive or conservative management approach. We sought to compare the effects of these management strategies on health related quality of life (HRQOL) after 1 year. Methods: the After Eighty study was a prospective randomised controlled multicenter trial. In total, 457 patients aged 80 or over, with NSTEMI or UAP, were randomised to either an invasive strategy (n = 229, mean age: 84.7 years), involving early coronary angiography, with immediate evaluation for percutaneous coronary intervention, coronary artery bypass graft, optimal medical therapy, or to a conservative strategy (n = 228, mean age: 84.9 years). The Short Form 36 health survey (SF-36) was used to assess HRQOL at baseline, and at the 1-year follow-up. Results: baseline SF-36 completion was achieved for 208 and 216 patients in the invasive and conservative groups, respectively. A total of 137 in the invasive group and 136 patients in the conservative group completed the SF-36 form at follow-up. When comparing the changes from follow-up to baseline (delta) no significant changes in quality-of-life scores were observed between the two strategies in any of the domains, expect for a small but statistically significant difference in bodily pain. This difference in only one of the SF-36 subscales may not necessarily be clinically significant. Conclusion: from baseline to the 1 year follow-up, only minor differences in change of HRQOL as measured by SF-36 were seen by comparing an invasive and conservative strategy. ClinicalTrials.gov identifier: NCT01255540.

Acute stress disorder and C-reactive protein in patients with acute myocardial infarction.

Background Myocardial infarction-triggered acute stress disorder (ASD) and subclinical inflammation associate with the development of posttraumatic stress disorder, and worsen the prognosis of myocardial infarction patients. We examined the relationship between ASD severity and C-reactive protein levels in patients with acute myocardial infarction. Methods We assessed 190 patients (median age 59 years; 83% men) with a verified myocardial infarction within 48 h of an acute coronary intervention. Circulating levels of C-reactive protein were categorized according to their prognostic risk for cardiovascular disease: 0 to <5, 5 to <10, 10 to <20, and ≥ 20 mg/l. Patients completed the ASD-Scale (ASDS) for myocardial infarction-triggered symptoms and questionnaires for demographic factors, health behaviours, cardiac-related variables and psychosocial characteristics. Results The ASDS sum score was positively associated with C-reactive protein categories in the bivariate analysis ( r = 0.20, p < 0.01). Significant relationships with C-reactive protein also emerged for dissociation ( r = 0.25, p < 0.001) and avoidance ( r = 0.19, p < 0.01), but not for arousal and re-experiencing. Similarly, C-reactive protein levels ≥ 20 mg/l versus < 20 mg/l were predicted by the ASDS sum score, and the dissociation, avoidance and arousal subscores (all p-values < 0.05) in the fully adjusted binary regression analyses. C-reactive protein levels ≥ 20 mg/l were also independently predicted by male gender, body mass index, lower education, and lower left ventricular ejection fraction and higher white blood cell count. Conclusions Higher levels of myocardial infarction-triggered ASD symptoms associate with a greater inflammatory response in patients with acute myocardial infarction independently of important covariates. The findings suggest a link between myocardial infarction-triggered ASD symptoms and a heightened acute phase response with a potential impact on cardiovascular disease prognosis.

Pre-event quality of life and its influence on the post-event quality of life among patients with ST elevation and non-ST elevation myocardial infarctions of a premier province of Sri Lanka.

BACKGROUND: Pre-event Quality of Life (QOL) reflects the true social circumstances in which people live prior to the onset of myocardial infarctions. It is believed to be a predictor of the post-event QOL. The aim of this study was to describe the pre-event QOL and its influence on the post-event Quality of Life among patients with ST elevation (STEMI) and Non-ST elevation myocardial infarctions (NSTEMI) using Short Form-36 (SF-36), a generic QOL tool with 8 domains. Documented literature is rare in this regard in Sri Lanka, which is a lower-middle-income country. METHODS: A cross-sectional study with a 28-day post-discharge follow-up was carried out in 13 hospitals. Three hundred and forty-four patients who were diagnosed with STEMI or NSTEMI were recruited during the hospital stay. The pre-event QOL was measured using an interviewer-administered questionnaire which included the SF-36 QOL tool and medical details. Follow-up QOL was gathered using a questionnaire that was filled and posted back by participants. Of the recruited sample, 235 responded for the follow-up component. Analysis was conducted for associations between pre- and post-discharge QOL. Furthermore, comparisons were made between the STEMI and NSTEMI groups. Mann Whiney U test, Wilcoxon signed rank test and chi square test were used in the analysis. RESULTS: The post-event QOL was lower in seven out of eight domains than the pre-event QOL (p < 0.05). The NSTEMI group had more risk factors and a significantly lower pre-event QOL for seven domains (p < 0.05), when compared to the STEMI group. For seven domains, the post-discharge QOL was not significantly different (p > 0.05) between the STEMI and NSTEMI groups. Post-discharge general-health QOL domain score was higher than the pre-MI score (p = 0.028) and was higher in the STEMI group compared to the NSTEMI group (p = 0.042). Regression analysis showed a significant beta coefficient between pre- and post-QOL for five domains in STEMI and for all domains in NSTEMI groups when adjusted for the disease severity. The R square values ranged from 12.3 to 62.3% for STEMI and 7.3 to 64.8% for NSTEMI. CONCLUSIONS: Pre-event QOL is lower in the NSTEMI group compared to the STEMI group. Patients do not regain the previous QOL within one month post-discharge. Post-discharge QOL can be predicted by the pre-event QOL for most domains.