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Research

Proton pump inhibitors and the risk of acute kidney injury in older patients: a population-based cohort study

Tony Antoniou, Erin M. Macdonald, Simon Hollands, Tara Gomes, Muhammad M. Mamdani, Amit X. Garg, J. Michael Paterson and David N. Juurlink
April 16, 2015 3 (2) E166-E171; DOI: https://doi.org/10.9778/cmajo.20140074
Tony Antoniou
1Department of Family and Community Medicine, St. Michael’s Hospital, Toronto, Ont.
2Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, Ont.
3Institute for Clinical Evaluative Sciences, Toronto, Ont.
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Erin M. Macdonald
3Institute for Clinical Evaluative Sciences, Toronto, Ont.
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Simon Hollands
3Institute for Clinical Evaluative Sciences, Toronto, Ont.
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Tara Gomes
2Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, Ont.
3Institute for Clinical Evaluative Sciences, Toronto, Ont.
4Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ont.
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Muhammad M. Mamdani
2Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, Ont.
3Institute for Clinical Evaluative Sciences, Toronto, Ont.
4Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ont.
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Amit X. Garg
3Institute for Clinical Evaluative Sciences, Toronto, Ont.
5Division of Nephrology, Department of Medicine, Western University, London, Ont.
6Department of Epidemiology and Biostatistics, Western University, London, Ont.
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J. Michael Paterson
3Institute for Clinical Evaluative Sciences, Toronto, Ont.
7Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ont.
8Department of Family Medicine, McMaster University, Hamilton, Ont.
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David N. Juurlink
3Institute for Clinical Evaluative Sciences, Toronto, Ont.
9Departments of Medicine and Pediatrics, University of Toronto, Toronto, Ont.
10Sunnybrook Research Institute, Toronto, Ont.
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    Figure 1:

    Kaplan–Meier curves for admission to hospital with acute kidney injury, by group.

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    Table 1: Baseline characteristics of 290 592 patients newly prescribed proton pump inhibitor therapy and an equal number of matched controls
    VariableGroup; no. (%)* of patients
    PPIControlStandardized difference
    Age, median (IQR), yr74(69–80)74(69–80)0.00
    66–74152 738(52.6)152 485(52.5)0.00
    75–84103 550(35.6)103 628(35.7)0.00
    ≥ 8534 304(11.8)34 479(11.9)0.00
    Female sex164 724(56.7)164 724(56.7)0.00
    Charlson Comorbidity Index score
    No hospital admission104 653(36.0)96 921(33.4)0.06
    0119 351(41.1)128 762(44.3)0.07
    127 954(9.6)27 740(9.5)0.00
    ≥ 238 634(13.3)37 169(12.8)0.02
    No. of hospital admissions in previous yr0(0–0)0(0–0)0.02
    Residence in a long-term care facility13 161(4.5)11 889(4.1)0.02
    No. of prescription drugs in previous yr, median (IQR)6(3–9)6(3–9)0.01
    Medication use in previous 120 d
    Oral corticosteroids6 351(2.2)5 501(1.9)0.02
    Anticoagulants16 990(5.8)16 662(5.7)0.01
    Calcium channel blockers68 078(23.4)69 181(23.8)0.01
    Angiotensin-converting enzyme inhibitor/angiotensin receptor blocker110 527(38.0)114 843(39.5)0.03
    Potassium-sparing diuretics4 145(1.4)3 969(1.4)0.00
    Fibric acid derivatives5 268(1.8)5 522(1.9)0.01
    Metformin31 198(10.7)32 673(11.2)0.02
    Sulfonylureas18 753(6.5)19 425(6.7)0.01
    Insulin7 093(2.4)7 132(2.5)0.00
    Thiazolidinediones3 290(1.1)3 585(1.2)0.01
    Other oral antihypoglycemics1 546(0.5)1 500(0.5)0.00
    Chronic NSAIDs43 719(15.0)41 821(14.4)0.02
    Chronic diuretics96 659(33.3)99 948(34.4)0.02
    β-adrenergic antagonists65 227(22.4)66 329(22.8)0.01
    Income quintile
    1 (lowest)56 902(19.6)55 615(19.1)0.01
    261 151(21.0)60 994(21.0)0.00
    357 491(19.8)57 942(19.9)0.00
    456 741(19.5)57 689(19.9)0.01
    5 (highest)57 105(19.7)57 463(19.8)0.00
    Medical conditions and procedures in previous 5 yr
    Gastrointestinal hemorrhage1 610(0.6)1 366(0.5)0.01
    Peptic ulcer disease25 113(8.6)22 756(7.8)0.03
    Esophageal disease14 557(5.0)11 620(4.0)0.05
    Diabetes68 921(23.7)69 681(24.0)0.01
    Hypertension200 516(69.0)205 589(70.7)0.04
    Chronic alcohol use7 321(2.5)7 371(2.5)0.00
    Systemic malignancy13 676(4.7)13 486(4.6)0.00
    Chronic kidney disease12 018(4.1)12 018(4.1)0.00
    Chronic liver disease1 679(0.6)1 654(0.6)0.00
    Congestive heart failure25 184(8.7)22 963(7.9)0.03

    Note: IQR = interquartile range, NSAID = nonsteroidal anti-inflammatory drug, PPI = proton pump inhibitor.
*Unless stated otherwise.

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      Table 2: Association between proton pump inhibitor use and kidney outcomes in 290 592 patients newly prescribed proton pump inhibitor therapy and an equal number of matched controls
      VariableGroup; no. (%) of eventsGroup; rate per 1000 person-yearsHR (95% CI)*
      PPIControlPPIControl
      Kidney outcomes
          Acute kidney injury1 269(0.4)518(0.2)13.495.462.52 (2.27 to 2.79)
          Acute interstitial nephritis30(0.0)10(0.0)0.320.113.00 (1.47 to 6.14)
      Tracer outcome
          Cataract surgery4 976(1.7)5 179(1.8)53.3055.120.97 (0.93 to 1.00)

      Note: CI = confidence interval, HR = hazard ratio, PPI = proton pump inhibitor.
*Reference group is patients not prescribed a PPI.

        • View popup
        Table 3: Risk of acute kidney injury according to proton pump inhibitor used
        Group; rate per 1000 person-years
        PPIControl
        PPINo. patients per groupHR (95% CI)*
        Lansoprazole27 34014.615.832.56 (1.85 to 3.55)
        Omeprazole45 02012.774.562.94 (2.21 to 3.91)
        Pantoprazole57 38116.396.892.43 (1.97 to 3.00)
        Rabeprazole160 85112.485.142.45 (2.12 to 2.83)

        Note: CI = confidence interval, HR = hazard ratio, PPI = proton pump inhibitor.

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        CMAJ Open: 3 (2)
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        Proton pump inhibitors and the risk of acute kidney injury in older patients: a population-based cohort study
        Tony Antoniou, Erin M. Macdonald, Simon Hollands, Tara Gomes, Muhammad M. Mamdani, Amit X. Garg, J. Michael Paterson, David N. Juurlink
        Jan 2015, 3 (2) E166-E171; DOI: 10.9778/cmajo.20140074

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        Proton pump inhibitors and the risk of acute kidney injury in older patients: a population-based cohort study
        Tony Antoniou, Erin M. Macdonald, Simon Hollands, Tara Gomes, Muhammad M. Mamdani, Amit X. Garg, J. Michael Paterson, David N. Juurlink
        Jan 2015, 3 (2) E166-E171; DOI: 10.9778/cmajo.20140074
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