David Brieger

Dr. David Brieger


Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 2004 in Chest
Verified
Journal Article
Closed access
DBDavid Brieger
David Brieger
KEKim A Eagle
Kim A Eagle
SGShaun G Goodman
Shaun G Goodman
GSGabriel Steg
Gabriel Steg
ABAndrzej Budaj
Andrzej Budaj
GIGRACE Investigators
GRACE Investigators

10 May 2022 in Circulation
Verified
Journal Article
Closed access
PDF file
CCClara Chow
Clara Chow
HKHarry Klimis
Harry Klimis
ATAravinda Thiagalingam
Aravinda Thiagalingam
JRJulie Redfern
Julie Redfern
GHGraham S. Hillis
Graham S. Hillis
OIon behalf of the TEXTMEDS Investigators*
on behalf of the TEXTMEDS Investigators*
Background: TEXTMEDS (Text Messages to Improve Medication Adherence and Secondary Prevention After Acute Coronary Syndrome) examined the effects of text message–delivered cardiac education and support on medication adherence after an acute coronary syndrome. Methods: TEXTMEDS was a single-blind, multicenter, randomized controlled trial of patients after acute coronary syndrome. The control group received usual care (secondary prevention as determined by the treating clinician); the intervention group also received multiple motivational and supportive weekly text messages on medications and healthy lifestyle with the opportunity for 2-way communication (text or telephone). The primary end point of self-reported medication adherence was the percentage of patients who were adherent, defined as >80% adherence to each of up to 5 indicated cardioprotective medications, at both 6 and 12 months. Results: A total of 1424 patients (mean age, 58 years [SD, 11]; 79% male) were randomized from 18 Australian public teaching hospitals. There was no significant difference in the primary end point of self-reported medication adherence between the intervention and control groups (relative risk, 0.93 [95% CI, 0.84–1.03]; P =0.15). There was no difference between intervention and control groups at 12 months in adherence to individual medications (aspirin, 96% vs 96%; β-blocker, 84% vs 84%; angiotensin-converting enzyme inhibitor/angiotensin receptor blocker, 77% vs 80%; statin, 95% vs 95%; second antiplatelet, 84% vs 84% [all P >0.05]), systolic blood pressure (130 vs 129 mm Hg; P =0.26), low-density lipoprotein cholesterol (2.0 vs 1.9 mmol/L; P =0.34), smoking ( P =0.59), or exercising regularly (71% vs 68%; P =0.52). There were small differences in lifestyle risk factors in favor of intervention on body mass index <25 kg/m 2 (21% vs 18%; P =0.01), eating ≥5 servings per day of vegetables (9% vs 5%; P =0.03), and eating ≥2 servings per day of fruit (44% vs 39%; P =0.01). Conclusions: A text message–based program had no effect on medical adherence but small effects on lifestyle risk factors. Registration: URL: https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=364448 ; Unique identifier: ANZCTR ACTRN12613000793718.

25 February 2009 in Heart
Verified
Journal Article
Closed access
PDF file
DBDavid Brieger
David Brieger
KFK A A Fox
K A A Fox
GFG FitzGerald
G FitzGerald
KEK A Eagle
K A Eagle
ABA Budaj
A Budaj
FIfor the GRACE Investigators
for the GRACE Investigators
Objective: To identify patients with non-ST-elevation acute coronary syndrome (NSTE-ACS) with a low likelihood of any adverse in-hospital event. Design, setting and patients: Data were analysed from 24 097 patients with NSTEMI or unstable angina included in the Global Registry of Acute Coronary Events (January 2001 to September 2007). Main outcome measures: In-hospital events were myocardial infarction, arrhythmia, congestive heart failure or shock, major bleeding, stroke or death. Two-thirds of the patients were randomly chosen for model development and the remainder for model validation. Multiple logistic regression identified predictors of freedom from an in-hospital event, and a Freedom-from-Event score was developed. Results: Of the 16 127 patients in the model development group, 19.1% experienced an in-hospital adverse event. Fifteen factors independently predicted freedom from an adverse event: younger age; lower Killip class; unstable angina presentation; no hypotension; no ST deviation; no cardiac arrest at presentation; normal creatinine; decreased pulse rate; no hospital transfer; no history of diabetes, heart failure, peripheral arterial disease, or atrial fibrillation; prehospital use of statins, and no chronic warfarin. In the validation group, 18.6% experienced an adverse event. The model discriminated well between patients experiencing an in-hospital event and those who did not in both derivation and validation groups (c-statistic = 0.77 in both). Patients in the three lowest risk deciles had a very low in-hospital mortality (93% event-free in hospital). The model also predicted freedom from postdischarge events (death, myocardial infarction, stroke; c-statistic = 0.77). Conclusions: The GRACE Freedom-from-Event score can predict the in-hospital course of NSTE-ACS, and identifies up to 30% of the admitted population at low risk of death or any adverse in-hospital event.

13 May 2005 in Internal Medicine Journal
Verified
Journal Article
Closed access
PDF file
BZB. Zeng
B. Zeng
APA. Prasan
A. Prasan
KFK. C. Fung
K. C. Fung
VSV. Solanki
V. Solanki
DBD. Bruce
D. Bruce
DBDavid Brieger
David Brieger

9 February 2021 in Open Heart
Verified
Journal Article
Open access
PDF file
SPStuart Pocock
Stuart Pocock
DBDavid Brieger
David Brieger
RORuth Owen
Ruth Owen
JCJiyan Chen
Jiyan Chen
MCMauricio G Cohen
Mauricio G Cohen
RGRichard Grieve
Richard Grieve
Objective To assess associations of health-related quality of life (HRQoL) with patient profile, resource use, cardiovascular (CV) events and mortality in stable patients post-myocardial infarction (MI). Methods The global, prospective, observational TIGRIS Study enrolled 9126 patients 1–3 years post-MI. HRQoL was assessed at enrolment and 6-month intervals using the patient-reported EuroQol-5 dimension (EQ-5D) questionnaire, with scores anchored at 0 (worst possible) and 1 (perfect health). Resource use, CV events and mortality were recorded during 2-years’ follow-up. Regression models estimated the associations of index score at enrolment with patient characteristics, resource use, CV events and mortality over 2-years’ follow-up. Results Among 8978 patients who completed the EQ-5D questionnaire, 52% reported ‘some’ or ‘severe’ problems on one or more health dimensions. Factors associated with a lower index score were: female sex, older age, obesity, smoking, higher heart rate, less formal education, presence of comorbidity (eg, angina, stroke), emergency room visit in the previous 6 months and non-ST-elevation MI as the index event. Compared with an index score of 1 at enrolment, a lower index score was associated with higher risk of all-cause death, with an adjusted rate ratio of 3.09 (95% CI 2.20 to 4.31), and of a CV event, with a rate ratio of 2.31 (95% CI 1.76 to 3.03). Patients with lower index score at enrolment had almost two times as many hospitalisations over 2-years’ follow-up. Conclusions Clinicians managing patients post-acute coronary syndrome should recognise that a poorer HRQoL is clearly linked to risk of hospitalisations, major CV events and death. Trial registration number ClinicalTrials.gov Registry (NCT01866904) (https://clinicaltrials.gov).

18 December 2023 in BMJ Open
Verified
Journal Article
Open access
PDF file
SKSibi N Krishnamurthy
Sibi N Krishnamurthy
SPStuart Pocock
Stuart Pocock
PKPrashant Kaul
Prashant Kaul
RORuth Owen
Ruth Owen
SGShaun G Goodman
Shaun G Goodman
MCMauricio G Cohen
Mauricio G Cohen
Objectives Compared with ST-segment elevation myocardial infarction (STEMI) patients, non-STEMI (NSTEMI) patients have more comorbidities and extensive coronary artery disease. Contemporary comparative data on the long-term prognosis of stable post-myocardial infarction subtypes are needed. Design Long-Term rIsk, clinical manaGement and healthcare Resource utilisation of stable coronary artery dISease (TIGRIS) was a multinational, observational and longitudinal cohort study. Setting Patients were enrolled from 350 centres, with >95% coming from cardiology practices across 24 countries, from 19 June 2013 to 31 March 2017. Participants This study enrolled 8277 stable patients 1–3 years after myocardial infarction with ≥1 additional risk factor. Outcome measures Over a 2 year follow-up, cardiovascular events and deaths and self-reported health using the EuroQol 5-dimension questionnaire score were recorded. Relative risk of clinical events and health resource utilisation in STEMI and NSTEMI patients were compared using multivariable Poisson regression models, adjusting for prognostically relevant patient factors. Results Of 7752 patients with known myocardial infarction type, 46% had NSTEMI; NSTEMI patients were older with more comorbidities than STEMI patients. NSTEMI patients had significantly poorer self-reported health and lower prevalence of dual antiplatelet therapy at hospital discharge and at enrolment 1–3 years later. NSTEMI patients had a higher incidence of combined myocardial infarction, stroke and cardiovascular death (5.6% vs 3.9%, p<0.001) and higher all-cause mortality (4.2% vs 2.6%, p<0.001) compared with STEMI patients. Risks were attenuated after adjusting for other patient characteristics. Health resource utilisation was higher in NSTEMI patients, although STEMI patients had more cardiologist visits. Conclusions Post-NSTEMI chronic coronary syndrome patients had a less favourable risk factor profile, poorer self-reported health and more adverse cardiovascular events during long-term follow-up than individuals post STEMI. Efforts are needed to recognise the risks of stable patients after NSTEMI and optimise secondary prevention and care. Trial registration number NCT01866904.