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Prevalence and incidence of, and risk factors for chronic cough in the adult population: the Rotterdam Study

Johnmary T. Arinze, Emmely W. de Roos, Leila Karimi, Katia M.C. Verhamme, Bruno H. Stricker, Guy G. Brusselle
ERJ Open Research 2020 6: 00300-2019; DOI: 10.1183/23120541.00300-2019
Johnmary T. Arinze
1Dept of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands
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  • ORCID record for Johnmary T. Arinze
Emmely W. de Roos
2Dept of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
3Dept of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium
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Leila Karimi
1Dept of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands
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Katia M.C. Verhamme
1Dept of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands
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Bruno H. Stricker
2Dept of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
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Guy G. Brusselle
2Dept of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
3Dept of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium
4Dept of Respiratory Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
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  • For correspondence: guy.brusselle@uzgent.be
  • Article
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Figures

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  • FIGURE 1
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    FIGURE 1

    STROBE Study flow chart.

  • FIGURE 2
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    FIGURE 2

    Age-specific prevalence of chronic cough.

  • FIGURE 3
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    FIGURE 3

    Age-specific incidence of chronic cough. PY: person-years.

Tables

  • Figures
  • TABLE 1

    Baseline characteristics of the study population

    Baseline characteristicsTotalChronic cough casesNon-casesp-value
    Subjects n982410738751
    Age years66.0±10.867.8±10.665.8±10.80.392
    Age ≥70 years
     No6118 (62.3)579 (54.0)5539 (63.3)<0.001
     Yes3706 (37.7)494 (46.0)3212 (36.7)
    Age (decades)
     5th570 (5.8)39 (3.6)531 (6.1)<0.001
     6th2297 (23.4)209 (19.5)2088 (23.9)
     7th3251 (33.1)331 (30.8)2920 (33.4)
     8th2453 (25.0)338 (31.5)2115 (24.2)
     ≥9th1253 (12.8)156 (14.5)1097 (12.5)
    Female sex5725 (58.3)639 (59.6)5086 (58.1)0.369
    Smoking
     Never3133 (31.9)268 (25.0)2865 (32.8)<0.001
     Past4915 (50.0)475 (44.3)4440 (50.8)
     Current1769 (18.0)329 (30.7)1440 (16.5)
    BMI kg·m−227.1 (24.7–29.9)27.2 (24.6–30.4)27.0 (24.7–29.8)0.475
    Obesity2114 (21.5)240 (22.4)1874 (21.4)0.154
    ACE inhibitors1837 (18.7)244 (22.7)1593 (18.2)<0.001
    Comorbidities2420 (24.6)480 (44.7)1940 (22.2)<0.001
     Chronic rhinosinusitis289 (2.9)57 (5.3)232 (2.7)<0.001
     GORD1324 (13.5)196 (18.3)1128 (12.9)<0.001
     Asthma522 (5.3)124 (11.6)389 (4.5)<0.001
     COPD646 (6.6)213 (19.9)433 (4.9)<0.001
     ACO21 (0.2)6 (0.6)15 (0.2)0.009

    Data are presented as mean±sd, n (%) or median (interquartile range), unless otherwise stated. BMI: body mass index; ACE: angiotensin converting enzyme; GORD: gastro-oesophageal reflux disease; COPD: chronic obstructive pulmonary disease; ACO: asthma–COPD overlap.

    • TABLE 2

      Baseline prevalence of chronic cough

      Baseline characteristicsSubjects at risk nPrevalent chronic cough nPrevalence % (95% CI)p-value
      Study Population9824107310.9 (10.3–11.6)
      Sex
       Male409943410.6 (9.7–11.6)0.369
       Female572563911.2 (10.4–12.0)
      Age ≥70 years
       No61185799.5 (8.7–10.2)<0.001
       Yes370649413.3 (12.3–14.5)
      Age <70 years
       Male26402248.5 (7.4–9.6)0.023
       Female347835510.2 (9.2–11.3)
      Smoking status
       Never31332688.6 (7.6–9.6)<0.001
       Past49154759.7 (8.9–10.5)
       Current176932918.6 (16.8–20.5)
      ACE-inhibitors
       Non-users798782910.4 (9.7–11.1)<0.001
       Users183724413.3 (11.8–14.9)
      Obesity
       No661867910.3 (9.5–11.0)0.154
       Yes211424011.4 (10.0–12.8)

      ACE: angiotensin converting enzyme

      • TABLE 3

        Incidence rate of chronic cough in participants with complete follow up

        Baseline characteristicsAt risk nIncident chronic cough nTotal follow-up yearsIncidence rate per 1000 person-years (95% CI)Incidence rate ratio (95% CI)
        Participants624543937 73711.6 (10.6–12.8)
        Sex
         Male263419015 88712.0 (10.3–13.8)Ref.
         Female361124921 85011.4 (10.0–12.9)0.95 (0.79–1.16)
        Age ≥70 years
         No454631826 81111.9 (10.6–13.2)Ref.
         Yes169912110 92611.1 (9.2–13.2)0.93 (0.75–1.15)
        Smoking status
         Never206012912 42710.4 (8.7–12.3)Ref.
         Past321621619 55911.0 (9.7–12.6)1.06 (0.85–1.33)
         Current96894574616.4 (13.4–20.0)1.57 (1.20–2.07)
        Current smokers
         Female57941343511.9 (8.6–16.2)Ref.
         Male38953231122.9 (17.2–30.0)1.92 (1.25–2.96)
        Obesity
         No454929927 51710.9 (9.7–12.2)Ref.
         Yes1440120867613.8 (11.5–16.5)1.27 (1.02–1.58)
      • TABLE 4

        Incidence rate of chronic cough in all eligible participants

        Baseline characteristicsAt risk nIncident chronic cough nTotal follow-up yearsIncidence rate per 1000 person-years (95% CI)Incidence rate ratio (95% CI)
        Total participants n875143952 8178.3 (7.6–9.1)
        Sex
         Male508624931 1368.0 (7.0–9.1)Ref.
         Female366519021 6818.8 (7.6–10.1)1.09 (0.90–1.33)
        Age ≥70 years
         No454631833 15711.9 (10.6–13.2)Ref.
         Yes169912119 66011.1 (9.2–13.2)0.64 (0.52–0.79)
        Smoking status
         Never286512917 6307.3 (6.1–8.7)Ref.
         Past444021626 7368.1 (7.0–9.2)1.10 (0.88–1.38)
         Current144094843311.2 (9.0–13.6)1.52 (1.16–2.00)
        Current smokers
         Female8574150778.1 (5.8–11.0)Ref.
         Male58353335515.8 (11.8–20.7)1.96 (1.28–3.02)
        Obesity
         No593929936 0368.3 (7.4–9.3)Ref.
         Yes187412011 49610.4 (8.7–12.5)1.26 (1.01–1.56)
      • TABLE 5

        Risk factors for chronic cough

        VariablesIncident chronic coughNo chronic coughOR (95% CI) (crude)Model 1 OR (95% CI) (adjusted)Model 2 OR (95% CI) (adjusted)
        Subjects n4395806
        Age yearsNANA1.00 (0.99–1.01)#1.01 (0.99–1.02)1.00 (0.99–1.01)
        Female sex24933620.95 (0.78–1.16)¶0.95 (0.78 –1.16)0.90 (0.73–1.10)
        Past smokers21630001.08 (0.86–1.35)1.06 (0.84–1.34)1.00 (0.79–1.27)
        Current smokers948741.61 (1.22–2.13)1.63 (1.23–2.16)1.64 (1.22–2.19)
        Obesity12013201.29 (1.04–1.61)1.30 (1.04–1.62)1.24 (0.99–1.55)
        CRS161611.33 (0.79–2.24)1.34 (0.79–2.26)0.96 (0.54–1.69)
        GORD716951.42 (1.09–1.85)1.42 (1.09–1.86)1.34 (1.01–1.78)
        OAD884802.78 (2.16–3.58)2.79 (2.17–3.60)2.75 (2.12–3.58)
        Asthma512722.67 (1.95–3.67)2.73 (1.98–3.75)2.88 (2.07–4.02)
        COPD352002.43 (1.67–3.53)2.42 (1.66–3.53)2.52 (1.70–3.71)

        Model 1: adjusted for age and sex; model 2 (full model): adjusted for age, sex, smoking, obesity, chronic obstructive pulmonary disease (COPD), asthma, gastro-oesophageal reflux disease (GORD) and chronic rhinosinusitis (CRS). Asthma-COPD overlap (ACO) was omitted from the analyses due to low power (10 subjects). OAD: obstructive airway disease (asthma, COPD and ACO). #: adjusted for sex and smoking. ¶: adjusted for age and smoking.

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        Prevalence and incidence of, and risk factors for chronic cough in the adult population: the Rotterdam Study
        Johnmary T. Arinze, Emmely W. de Roos, Leila Karimi, Katia M.C. Verhamme, Bruno H. Stricker, Guy G. Brusselle
        ERJ Open Research Apr 2020, 6 (2) 00300-2019; DOI: 10.1183/23120541.00300-2019

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        Prevalence and incidence of, and risk factors for chronic cough in the adult population: the Rotterdam Study
        Johnmary T. Arinze, Emmely W. de Roos, Leila Karimi, Katia M.C. Verhamme, Bruno H. Stricker, Guy G. Brusselle
        ERJ Open Research Apr 2020, 6 (2) 00300-2019; DOI: 10.1183/23120541.00300-2019
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