Table 1 Lecture review of the risk factors analysis in patients who have undergone PCIs
Study | Country | Years | Numbers | Dataset | Algorithms/analysis | Key factors associated with medical cost |
|---|---|---|---|---|---|---|
Pohlen et al., 2008 [12] | Germany | 2002 | 770 | Department of cardiology and angiology | Multivariate analyses | Creatinine > 2 mg/dl, EF ≤ 35%, presence of a thrombus, PCI of a venous bypass, CCS class IV, coronary three-vessel disease and age |
Moleerergpoom et al., 2007 [14] | Thailand | - | 3,552 | TACSR | Univariate, multivariate analyses, stepwise MLR | Age, LOS, hospital type, GP IIb/IIIa inhibitors, thrombolytics, comorbidities (major bleeding, CHF, diabetes), Referred patients |
Lee et al., 2013 [15] | Hong Kong | 2007–2009 | 89 | CMS | Non-parametric Mann–Whitney tests | Hyperlipidemia, diabetes, or hypertension, Higher-tier consumables (stents and balloons), LOS, antiplatelets and lipid-lowering agents |
Afana et al., 2015 [16] | U.S | 2001–2009 | 833,344 | NIS | The Wilcoxon rank-sum test | Age, gender, insurance type, procedure type, ICU Stay, hospital location, CCI |
Amin et al., 2020 [17] | U.S | 2006−2015 | 1,443,297 | Premier | MLR | AKI, ICU, age comorbidities (diabetes, CKD) |
Hautala et al., 2023 [13] | Finland | 2013–2014 | 65 | Oulu University Hospital | Linear Regression Models | Depression score, LDL Cholesterol, LVEF, age, maximal exercise capacity, quality of life, systolic blood pressure, and diabetes |