Cardiology Research, ISSN 1923-2829 print, 1923-2837 online, Open Access
Article copyright, the authors; Journal compilation copyright, Cardiol Res and Elmer Press Inc
Journal website http://www.cardiologyres.org

Original Article

Volume 11, Number 1, February 2020, pages 15-21


Polypharmacy Is Associated With Accelerated Deterioration of Renal Function in Cardiovascular Outpatients

Figure

Figure 1.
Figure 1. The numbers of drugs prescribed for the patients with each comorbidity as the median of each group. *P < 0.05, †P < 0.01 in Mann-Whitney U-test.

Tables

Table 1. Clinical Characteristics
 
Classification of polypharmacyP value
Allnon-PP (0 - 4)PP (5 - 9)hyper-PP (≥ 10)
The data are presented as mean ± SD for normally distributed variables, median (first quartile, third quartile) for not normally distributed variables, or the number (percentage) for categorical variables. Differences in categorical variables between groups were assessed using Fisher’s exact test followed by Holm’s post hoc test. Differences in continuous variables between groups were assessed using one-way analysis of variance (ANOVA) followed by Tukey’s post hoc test for normally distributed variables, or Kruskal-Wallis’s test followed by Steel-Dwass’s post hoc test for not normally distributed variables. BMI: body mass index; Cr: serum creatinine; CV: cardiovascular; CVD: cardiovascular disease; eGFR: estimated glomerular filtration rate; Hb: hemoglobin; Ht: hematocrit; IHD: ischemic heart disease; PAD: peripheral artery disease; Plt: platelet; PP: polypharmacy; RBC: red blood cells; RDW-CV: red blood cell distribution width-coefficient of variation; WBC: white blood cell. aP < 0.05, non-PP vs. PP; bP < 0.05, non-PP vs. hyper-PP; cP < 0.05, PP vs. hyper-PP.
N25968 (26.25)132 (50.97)59 (22.78)
Age (years)72 (64, 78)70 (63, 75)72 (66, 78)73 (62, 80)0.057
Male gender (%)173 (66.8)38 (55.9)95 (72.0)40 (67.8)0.075
BMI (kg/m2)24.0 ± 3.923.2 ± 3.724.0 ± 3.924.8 ± 3.80.069
WBC (102/µL)60.6 ± 17.655.4 ± 13.462.6 ± 18.8a62.0 ± 18.10.017
Plt (104/µL)19.3 ± 5.419.8 ± 5.219.1 ± 5.319.0 ± 5.90.599
RBC (104/µL)441 ± 63455 ± 47444 ± 61417 ± 78b, c0.002
Hb (g/dL)13.5 ± 1.814.1 ± 1.413.6 ± 1.912.8 ± 1.8b, c< 0.001
Ht (%)40.9 ± 5.042.3 ± 3.841.1 ± 5.339.1 ± 5.2b, c0.002
RDW-CV13.6 (13.0, 14.1)13.3 (12.8, 13.7)13.7 (13.1, 14.1)a13.7 (13.1, 14.8)b< 0.001
Anemia (%)74 (28.6)6 (8.8)37 (28.0)a31 (52.5)b, c< 0.001
Cr (mg/dL)0.84 (0.68, 1.01)0.72 (0.62, 0.84)0.85 (0.70, 0.99)a1.01 (0.81, 1.32)b, c< 0.001
eGFR (mL/min/1.73 m2)65.4 ± 20.973.8 ± 17.366.2 ± 19.1a54.0 ± 23.4b, c< 0.001
Number of CVDs or their risk factors3 (2, 4)2 (1, 2)3 (2, 4)a4 (2, 5)b, c< 0.001
CVD or its risk factor
  Atrial fibrillation (%)47 (18.1)10 (14.7)22 (16.7)15 (25.4)0.262
  Diabetes mellitus (%)98 (37.8)12 (17.6)52 (39.4)a34 (57.6)b, c< 0.001
  Dyslipidemia (%)150 (57.9)32 (47.1)81 (61.4)37 (62.7)0.114
  Heart failure (%)56 (21.6)7 (10.3)24 (18.2)25 (42.4)b, c< 0.001
  Hypertension (%)184 (71.0)43 (63.2)94 (71.2)47 (79.7)0.127
  IHD (%)129 (49.8)20 (29.4)71 (53.8)a38 (64.4)b< 0.001
  PAD (%)24 (9.3)1 (1.5)10 (7.6)13 (22.0)b, c< 0.001
  Stroke (%)28 (10.8)3 (4.4)15 (11.4)10 (16.9)0.060

 

Table 2. Drugs Administered in Each Category of Polypharmacy
 
AllClassification of polypharmacyP value
non-PP (0 - 4)PP (5 - 9)hyper-PP (≥ 10)
The data are presented as median (first quartile, third quartile) for not normally distributed variables, or the number (percentage) for categorical variables. Differences in categorical variables between groups were assessed using Fisher’s exact test followed by Holm’s post hoc test. Differences in continuous variables between groups were assessed using Kruskal-Wallis’s test followed by Steel-Dwass’s post hoc test for not normally distributed variables. ACEI: angiotensin-converting enzyme inhibitor; ARB: angiotensin receptor blocker; CV: cardiovascular; H2-blocker: histamine type 2 receptor blocker; NSAID: nonsteroidal anti- inflammatory drug; PP: polypharmacy; PPI: proton pump inhibitor; statins: HMG-CoA reductase inhibitor. aP < 0.05, non-PP vs. PP; bP < 0.05, non-PP vs. hyper-PP; cP < 0.05, PP vs. hyper-PP.
N25968 (26.25)132 (50.97)59 (22.78)
Number of drugs7 (4, 9)3 (1, 3)7 (6, 8)a12 (10, 14)b, c< 0.001
Number of CV drugs4 (3, 6)2 (1, 3)5 (4, 6)a8 (6, 9)b, c< 0.001
  ACEI (%)39 (15.1)4 (5.9)22 (16.7)13 (22.0)b0.023
  Antiarrhythmic agent24 (9.3)4 (5.9)7 (5.3)13 (22)b, c0.002
  Anticoagulant (%)67 (25.9)8 (11.8)37 (28.0)a22 (37.3)b0.002
  Antiplatelet agents (%)152 (58.7)15 (22.1)93 (70.5)a44 (74.6)b< 0.001
  ARB (%)141 (54.4)22 (32.4)78 (59.1)a41 (69.5)b< 0.001
  Calcium channel blockers (%)120 (46.3)27 (39.7)59 (44.7)34 (57.6)0.115
  Cardiac stimulant10 (3.9)1 (1.5)4 (3.0)5 (8.5)0.135
  Diuretics (%)80 (30.9)6 (8.8)39 (29.5)a35 (59.3)b, c< 0.001
  Hypolipidemic agent other than statins19 (7.3)1 (1.5)10 (7.6)8 (13.6)b0.002
  Insulin (%)11 (4.2)0 (0.0)2 (1.5)a9 (15.3)b< 0.001
  Oral hypoglycemic agents (%)59 (22.8)0 (0.0)32 (24.2)a27 (45.8)b, c< 0.001
  Statins (%)120 (46.3)10 (14.7)78 (59.1)a32 (54.2)b< 0.001
  Vasodilator agent44 (17.0)2 (2.9)24 (18.2)a18 (30.5)b< 0.001
  β-blockers (%)124 (47.9)16 (23.5)67 (50.8)a41 (69.5)b, c< 0.001
Number of non-CV drugs2 (1, 3)0 (0, 1)2 (1, 3)a3 (3, 7)b, c< 0.001
  Antianxiety or hypnotic (%)55 (21.2)4 (5.9)30 (22.7)a21 (35.6)b< 0.001
  Cathartic (%)52 (20.1)3 (4.4)22 (16.7)a27 (45.8)b, c< 0.001
  H2-blockers (%)26 (10.0)3 (4.4)15 (11.4)8 (13.6)0.162
  NSAIDs (%)13 (5.0)1 (1.5)4 (3.0)a8 (13.6)b0.004
  PPI (%)88 (34.0)4 (5.9)49 (37.1)a35 (59.3)b, c< 0.001
  Uric acid-lowering agents (%)46 (17.8)6 (8.8)21 (15.9)19 (32.2)b, c0.003

 

Table 3. Univariate Analyses of Factors Associated With the Number of Drugs
 
FactorρP value
Correlations between each variable were examined using Spearman’s rank correlation coefficient rho (ρ). BMI: body mass index; CVD: cardiovascular disease; eGFR: estimated glomerular filtration rate; Hb: hemoglobin; Plt: platelet; WBC: white blood cell.
Number of CVDs or their risk factors0.484< 0.001
eGFR (mL/min/1.73 m2)-0.336< 0.001
Hb (g/dL)-0.217< 0.001
Plt (104/µL)-0.1530.014
Age (years)0.1510.015
WBC (102/µL)0.1430.021
BMI (kg/m2)0.1270.041

 

Table 4. Multivariate Analysis of Factors Which Were Independently Associated With the Number of Drugs
 
FactorβP value
Factors which were independently associated with the number of drugs were examined using linear regression analysis. CVD: cardiovascular disease; CKD: chronic kidney disease; WBC: white blood cell; Plt: platelet; BMI: body mass index.
Number of CVDs or their risk factors1.033< 0.001
Anemia1.722< 0.001
CKD stage 3b or higher1.9230.002
WBC (102/µL)0.0220.081
Plt (104/µL)-0.0490.229
Male0.5040.244
BMI (kg/m2)0.0250.638
Age (years)-0.0090.672

 

Table 5. The Factors Which Correlated With the Changing Rate of eGFR
 
FactorρP value
The factors which correlated with the changing rate of eGFR were examined using Spearman’s rank correlation coefficient. eGFR: estimated glomerular filtration rate; Plt: platelet; Hb: hemoglobin; CVD: cardiovascular disease; WBC: white blood cell; BMI: body mass index.
Number of prescribed drugs0.1510.030
Age0.0870.213
Plt-0.0720.298
Hb-0.0650.353
eGFR-0.0610.378
Number of CVDs or their risk factors0.0500.473
WBC-0.0480.494
BMI0.0240.728