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- Gudmundsson, T., et al.
(författare)
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Does the quality index of adherence to the evidence-based guidelines predict mortality in patients with myocardial infarction?
- 2022
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Ingår i: European Heart Journal. - : Oxford University Press. - 0195-668X .- 1522-9645. ; 43:Suppl. 2, s. 2282-2282
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Background: The SWEDEHEART quality index of hospitals’ adherence to the evidence-based (EB) guidelines for myocardial infarction (MI) patients has been continuously used for several decades in Sweden. The grading protocol is based on the consensus among hospitals. The hospitals are awarded points (0, 0.5, 1) for each of the 11 indicators depending on the proportion of patients who received EB treatment and achieved treatment goals. The 11 indicators at present are reperfusion treatment in STEMI (yes/no), time to-reperfusion treatment in STEMI, time to revascularisation in NSTEMI, P2Y12 antagonists at discharge, ACE-inhibitor/ARB at discharge, the proportion of patients at follow-up, smoking cessation at one-year, participation in a physical exercise program, target LDL-cholesteroland target blood pressure at one year.Purpose: To evaluate whether the SWEDEHEART quality index predicts mortality in patients with MI.Methods: We used data for all MI patients reported to the SWEDEHEAR Tregistry from 72 hospitals in Sweden between 2015–2021. We calculated the difference in quality index between 2021 and 2015. The hospitals were divided into quintiles based on the difference in the score. Logistic regression with log-time offset was used to adjust for confounders (age, gender, diabetes, hypertension, hyperlipidemia, STEMI/NSTEMI, cardiac arrest before admission, occupation status, history of heart failure, prior MI, prior PCI, prior CABG, cardiogenic shock).Results: We identified 98,635 patients with MI, 32,608 (33.1%) were women and 34,198 (34.7%) had STEMI. The average age was 70.8±12.2 years. The median follow-up time was 2.7 years (IQR 1.06–4.63). The crude all-cause mortality rate was 5.5% at 30-days and 22.3% after long-term follow-up. Most hospitals (72.1%) improved their quality index on average by 3.4% per year (P<0.001). The increase in the quality index continued during COVID-19 pandemic (2020–2021) with average increase of 8.6%, 95% CI, 0.97–1.02; P<0.001. The median change in SWEDE-HEART quality index score among the quintiles were −1.5 (Q1), 0,5 (Q2), 2,5 (Q3), 3 (Q4), and 4 (Q5). We found no difference in mortality between the quintiles at 30-days (OR 0.99; 95% CI 0.97–1.02; p=1.02) and long-term (OR 1.01; 95% CI 0,99–1.02; p=0.850).Conclusion: The SWEDEHEART quality index provides valuable descriptive information about hospitals’ adherence to the guidelines. However, the index, in its current form, does not predict mortality in patients with MI.
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| 2. |
- Lindahl, Bertil, 1957-, et al.
(författare)
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Poor long-term prognosis in patients admitted with strong suspicion of acute myocardial infarction but discharged with another diagnosis
- 2021
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Ingår i: Journal of Internal Medicine. - : Wiley. - 0954-6820 .- 1365-2796. ; 290:2, s. 359-372
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Tidskriftsartikel (refereegranskat)abstract
- Background: Characteristics and prognosis of patients admitted with strong suspicion of myocardial infarction (MI) but discharged without an MI diagnosis are not well-described. Objectives: To compare background characteristics and cardiovascular outcomes in patients discharged with or without MI diagnosis. Methods: The DETermination of the role of Oxygen in suspected Acute Myocardial Infarction (DETO2X-AMI) trial compared 6629 patients with strong suspicion of MI randomized to oxygen or ambient air. The main composite end-point of this subgroup analysis was the incidence of all-cause death, rehospitalization with MI, heart failure (HF) or stroke during a follow-up of 2.1 years (median; range: 1–3.7 years) irrespective of randomized treatment. Results: 1619 (24%) received a non-MI discharge diagnosis, and 5010 patients (76%) were diagnosed with MI. Groups were similar in age, but non-MI patients were more commonly female and had more comorbidities. At thirty days, the incidence of the composite end-point was 2.8% (45 of 1619) in non-MI patients, compared to 5.0% (250 of 5010) in MI patients with lower incidences in all individual end-points. However, for the long-term follow-up, the incidence of the composite end-point increased in the non-MI patients to 17.7% (286 of 1619) as compared to 16.0% (804 of 5010) in MI patients, mainly driven by a higher incidence of all-cause death, stroke and HF. Conclusions: Patients admitted with a strong suspicion of MI but discharged with another diagnosis had more favourable outcomes in the short-term perspective, but from one year onwards, cardiovascular outcomes and death deteriorated to a worse long-term prognosis.
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| 6. |
- Baron, T, et al.
(författare)
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The Reply
- 2017
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Ingår i: The American journal of medicine. - : Elsevier BV. - 1555-7162 .- 0002-9343. ; 130:9, s. E417-E418
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)
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| 8. |
- Edfors, R., et al.
(författare)
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Use of proteomics to identify biomarkers associated with chronic kidney disease and long-term outcomes in patients with myocardial infarction
- 2020
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Ingår i: Journal of Internal Medicine. - : Wiley. - 0954-6820 .- 1365-2796. ; 288:5, s. 581-592
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Tidskriftsartikel (refereegranskat)abstract
- Background Patients with chronic kidney disease (CKD) have poor outcomes following myocardial infarction (MI). We performed an untargeted examination of 175 biomarkers to identify those with the strongest association with CKD and to examine the association of those biomarkers with long-term outcomes. Methods A total of 175 different biomarkers from MI patients enrolled in the Swedish Web-System for Enhancement and Development of Evidence-Based Care in Heart Disease Evaluated According to Recommended Therapies (SWEDEHEART) registry were analysed either by a multiple reaction monitoring mass spectrometry assay or by a multiplex assay (proximity extension assay). Random forests statistical models were used to assess the predictor importance of biomarkers, CKD and outcomes. Results A total of 1098 MI patients with a median estimated glomerular filtration rate of 85 mL min(-1)/1.73 m(2)were followed for a median of 3.2 years. The random forests analyses, without and with adjustment for differences in demography, comorbidities and severity of disease, identified six biomarkers (adrenomedullin, TNF receptor-1, adipocyte fatty acid-binding protein-4, TNF-related apoptosis-inducing ligand receptor 2, growth differentiation factor-15 and TNF receptor-2) to be strongly associated with CKD. All six biomarkers were also amongst the 15 strongest predictors for death, and four of them were amongst the strongest predictors of subsequent MI and heart failure hospitalization. Conclusion In patients with MI, a proteomic approach could identify six biomarkers that best predicted CKD. These biomarkers were also amongst the most important predictors of long-term outcomes. Thus, these biomarkers indicate underlying mechanisms that may contribute to the poor prognosis seen in patients with MI and CKD.
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| 9. |
- Gudmundsson, T., et al.
(författare)
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Importance of hospital and clinical factors in predicting of 30-day mortality in Takotsubo syndrome : data from the Swedish Coronary Angiography and Angioplasty Registry
- 2023
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Ingår i: European Heart Journal. - : Oxford University Press. - 0195-668X .- 1522-9645. ; 44:Suppl. 2
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Background: Takotsubo syndrome (TS) is an acute heart failure condition that presents with symptoms similar to acute myocardial infarction. TS is often triggered by emotional or physical stress and is an important cause of morbidity and mortality but predictors of mortality in TS patients are not well understood. There is a need to identify high-risk patients and tailor treatment accordingly.Purpose: The purpose of this study was to assess the importance of various clinical factors in predicting 30-day mortality in TS patients using a machine-learning algorithm capable of identifying complex relationships between variables.Methods: We analyzed data from the nationwide Swedish Coronary Angiography and Angioplasty Registry for all TS patients between 2015-2022. Gradient boosting was used to assess the relative importance of variables in predicting 30-day mortality in TS patients.Results: Of the 3,180 hospitalized TS patients, 76% were women. The average age was 68.3 ± 11.2 years. The crude all-cause mortality rate was 2.57% at 30 days. The most important variable in predicting 30-day mortality was the hospital where the patient was treated, with a relative importance of 35.5%. This was followed by the clinical presentation for angiography (21.1%), creatinine level (11.9%), Killip class (8.9%), and age at angioplasty (6.5%). Other less important factors included weight, height, and certain medical conditions such as hyperlipidemia, smoking status, and hypertension. Gender and previous stroke history had a low impact on 30-day mortality in TS patients.Conclusions: The treating hospital was the most important factor in predicting 30-day mortality in TS. Since the level of evidence for recommended treatments of TS is low, our findings highlight the importance of conducting randomized studies in this patient group to improve care.
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