Comparison of risks of cardiovascular events in the elderly using standard survival analysis and multiple-events and recurrent-events methods

Ip, Edward H.; Efendi, Achmad; Molenberghs, Geert; Bertoni, Alain G.

doi:10.1186/s12874-015-0004-3

Cited by 10 publications

(7 citation statements)

References 26 publications

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“…Small sample size due to a low response rate is a limitation, this may have caused our study to be under-powered. However, the response rate is consistent with those observed in other surveys of physicians [24-25]. It is also similar to previously reported CAEP response rates for similar studies [26-27].…”

Section: Discussionsupporting

confidence: 92%

Current State of Point-of-care Ultrasound Usage in Canadian Emergency Departments

Leschyna¹,

Hatam²,

Britton³

et al. 2019

Cureus

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Background Point-of-care ultrasound (POCUS) has many applications in emergency medicine, which have been proven to improve patient outcomes. Training programs and well-established guidelines for its use are available, but Canadian adoption rates and attitudes toward this technology have not been recently assessed. Objectives This study aimed to provide a national assessment of the current use of POCUS in Canadian emergency departments (ED) including patterns of use, attitudes towards its role, descriptors of training experience, as well as barriers to increased utilization. Methods An electronic survey was sent to physician members of the Canadian Association of Emergency Physicians. The survey included questions related to demographics, attitudes towards POCUS, POCUS utilization, and barriers to POCUS use. Responses were statistically analyzed to identify significant associations. Results Responses demonstrated a strong association between POCUS training and amount of POCUS usage. Neither hospital type nor community type was associated with the degree of POCUS usage. POCUS was most widely adopted for Canadian Point of Care Ultrasound Society (CPOCUS) core applications and has increased since the last national survey. The most commonly reported barrier to increased POCUS adoption was the lack of training. Most physicians have formal POCUS training in core applications, and approximately one third have advanced training. Conclusions POCUS training and utilization appear to have increased since the last national assessment. This provides a foundation for future POCUS research.

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Section: Discussionsupporting

confidence: 92%

Current State of Point-of-care Ultrasound Usage in Canadian Emergency Departments

Leschyna¹,

Hatam²,

Britton³

et al. 2019

Cureus

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“…Overall, an accuracy of 86.46% is achieved using the developed model. Literature survey Sumiati et al [7], Animesh et al [8], and Ip et al [9] also shows that different machine learning algorithms are applied to heart failure prediction. In recent years, machine learning is widely adopted in survival analysis [10]- [12].…”

Section: Introductionmentioning

confidence: 99%

Prediction of patient survival from heart failure using a cox-based model

Assegie¹,

Karpagam²,

Subramanian³

et al. 2022

IJEECS

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The existing heart failure risk prediction models are developed based on machine learning predictors. The objective of this study is to identify the key risk factors that affect the survival time of heart patients and to develop a heart failure survival prediction model using the identified risk factors. A cox proportional hazard regression method is applied to generate the proposed heart failure survival model. We used the dataset from the University of California Irvine (UCI) clinical heart failure data repository. To develop the model we have used multiple risk factors such as age, anemia, creatinine phosphokinase, diabetes history, ejection fraction, presence of high blood pressure, platelet count, serum creatinine, sex, and smoking history. Among the risk factors, high blood pressure is identified as one of the novel risk factors for heart failure. We have validated the performance of the model via statistical and empirical validation. The experimental result shows that the proposed model achieved good discrimination and calibration ability with a C-index (receiver operating characteristic (ROC) of being 0.74 and a log-likelihood ratio of 81.95 using 11 degrees of freedom on the validation dataset.

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“… 3–8 However, few total (or cumulative) event analyses have previously been published that study the relation between classic vascular risk factors and CV outcomes in an observational cohort study. 9 10 …”

Section: Introductionmentioning

confidence: 99%

Relationship between classic vascular risk factors and cumulative recurrent cardiovascular event burden in patients with clinically manifest vascular disease: results from the UCC-SMART prospective cohort study

et al. 2021

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ObjectiveThe aim of the current study was to assess the relationship between classic cardiovascular risk factors and risk of not only the first recurrent atherosclerotic cardiovascular event, but also the total number of non-fatal and fatal cardiovascular events in patients with recently clinically manifest cardiovascular disease (CVD).DesignProspective cohort study.SettingTertiary care centre.Participants7239 patients with a recent first manifestation of CVD from the prospective UCC-SMART (Utrecht Cardiovascular Cohort - Second Manifestations of ARTerial disease) cohort study.Outcome measuresTotal cardiovascular events, including myocardial infarction, stroke, vascular interventions, major limb events and cardiovascular mortality.ResultsDuring a median follow-up of 8.9 years, 1412 patients had one recurrent cardiovascular event, while 1290 patients had two or more recurrent events, with a total of 5457 cardiovascular events during follow-up. The HRs for the first recurrent event and cumulative event burden using Prentice-Williams-Peterson models, respectively, were 1.36 (95% CI 1.25 to 1.48) and 1.26 (95% CI 1.17 to 1.35) for smoking, 1.14 (95% CI 1.11 to 1.18) and 1.09 (95% CI 1.06 to 1.12) for non-high-density lipoprotein (HDL) cholesterol, and 1.05 (95% CI 1.03 to 1.07) and 1.04 (95% CI 1.03 to 1.06) for systolic blood pressure per 10 mm Hg.ConclusionsIn a cohort of patients with established CVD, systolic blood pressure, non-HDL cholesterol and current smoking are important risk factors for not only the first, but also subsequent recurrent events during follow-up. Recurrent event analysis captures the full cumulative burden of CVD in patients.

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Comparison of risks of cardiovascular events in the elderly using standard survival analysis and multiple-events and recurrent-events methods

Cited by 10 publications

References 26 publications

Current State of Point-of-care Ultrasound Usage in Canadian Emergency Departments

Current State of Point-of-care Ultrasound Usage in Canadian Emergency Departments

Prediction of patient survival from heart failure using a cox-based model

Relationship between classic vascular risk factors and cumulative recurrent cardiovascular event burden in patients with clinically manifest vascular disease: results from the UCC-SMART prospective cohort study

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