Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Predictors of health care use among patients with or at high risk of atherothrombotic disease
T2 - two-year follow-up data
AU - Ademi, Zanfina
AU - Liew, Danny
AU - Gorelik, Alexandra
AU - Bohensky, Megan
AU - Zomer, Ella
AU - Hollingsworth, Bruce
AU - Steg, Gabriel
AU - Bhatt, Deepak L.
AU - Reid, Chris
AU - REACH Registry Investigators
PY - 2014/7/15
Y1 - 2014/7/15
N2 - BackgroundAtherothrombotic diseases are the leading health problems in the world, both in terms of morbidity and mortality. This study aimed to identify and quantify the predictors of medication, hospital and outpatient service use among patients with or at high risk of atherothrombotic disease.MethodsTwo-year follow-up data were analyzed for 2873 Australian participants of the Reduction of Atherothrombosis for Continued Health (REACH) registry. The analysis was performed using generalized linear models with Poisson and Gamma distributions and log link function.ResultsParticipants with hypercholesterolemia, diabetes, hypertension, atrial fibrillation (AF), and history of coronary artery disease (CAD) used more medications (p < 0.0001). The presence of diabetes predicted higher number of outpatient visits (RR = 1.09, 95% CI: 1.07–1.11), as did AF (RR = 1.10, 95% CI: 1.08–1.12). The presence of peripheral artery disease (PAD) regardless of ankle brachial index (ABI) status (abnormal or normal) increased the use of outpatient visits (RR = 1.24, 95% CI: 1.20–1.29 and RR = 1.12, 95% CI: 1.08–1.15), compared to those without PAD. Similarly, the presence of PAD regardless of ABI status increased the risk of vascular interventions, including coronary angioplasty, carotid surgery, amputation affecting lower-limb and peripheral bypass graft (RR = 3.64, 95% CI: 2.01–6.60) (RR = 2.8, 95% CI: 1.6–4.92) compared to patients without PAD.ConclusionsThe presence of PAD regardless of ABI status predicts a higher number of outpatient visits, non-fatal cardiovascular endpoints and vascular-interventions, while diabetes predicts higher pharmaceutical use and outpatient visits. AF predicts the higher number of outpatient visits and non-fatal cardiovascular events.
AB - BackgroundAtherothrombotic diseases are the leading health problems in the world, both in terms of morbidity and mortality. This study aimed to identify and quantify the predictors of medication, hospital and outpatient service use among patients with or at high risk of atherothrombotic disease.MethodsTwo-year follow-up data were analyzed for 2873 Australian participants of the Reduction of Atherothrombosis for Continued Health (REACH) registry. The analysis was performed using generalized linear models with Poisson and Gamma distributions and log link function.ResultsParticipants with hypercholesterolemia, diabetes, hypertension, atrial fibrillation (AF), and history of coronary artery disease (CAD) used more medications (p < 0.0001). The presence of diabetes predicted higher number of outpatient visits (RR = 1.09, 95% CI: 1.07–1.11), as did AF (RR = 1.10, 95% CI: 1.08–1.12). The presence of peripheral artery disease (PAD) regardless of ankle brachial index (ABI) status (abnormal or normal) increased the use of outpatient visits (RR = 1.24, 95% CI: 1.20–1.29 and RR = 1.12, 95% CI: 1.08–1.15), compared to those without PAD. Similarly, the presence of PAD regardless of ABI status increased the risk of vascular interventions, including coronary angioplasty, carotid surgery, amputation affecting lower-limb and peripheral bypass graft (RR = 3.64, 95% CI: 2.01–6.60) (RR = 2.8, 95% CI: 1.6–4.92) compared to patients without PAD.ConclusionsThe presence of PAD regardless of ABI status predicts a higher number of outpatient visits, non-fatal cardiovascular endpoints and vascular-interventions, while diabetes predicts higher pharmaceutical use and outpatient visits. AF predicts the higher number of outpatient visits and non-fatal cardiovascular events.
KW - Comorbidities
KW - Resource use
KW - Predictors
U2 - 10.1016/j.ijcard.2014.04.230
DO - 10.1016/j.ijcard.2014.04.230
M3 - Journal article
VL - 175
SP - 72
EP - 77
JO - International Journal of Cardiology
JF - International Journal of Cardiology
SN - 0167-5273
IS - 1
ER -