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Research ArticleOriginal Research

The Prognostic Implications of Night Sweats in Two Cohorts of Older Patients

James W. Mold and Frank Lawler
The Journal of the American Board of Family Medicine January 2010, 23 (1) 97-103; DOI: https://doi.org/10.3122/jabfm.2010.01.090052
James W. Mold
MD, MPH
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Frank Lawler
MD
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Article Figures & Data

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    Table 1.

    Descriptive Statistics for Geriatric Continuity Clinic Variables Versus Mortality (n = 682)

    VariablePatients (n)Overall Frequency (%)Proportion Dead (%)Proportion Alive (%)P
    Age (years)
        60–746910.294.25.8
        75–8428742.579.820.2
        85+32047.380.619.4.017
    Sex
        Female50873.878.921.1
        Male17926.288.811.2.003
    Race
        White50476.283.316.7
        Nonwhite16123.875.224.8.036
    Education
         <High school22437.788.012.0
        High school18631.378.521.5
        >high school18431.075.025.0.002
    Smoker
        Yes9714.481.019.0
        No57985.684.515.5.41
    ADL categories
        0–6436.51000
        7–1332649.487.712.3
        1429144.171.828.2<.0001
    IADL categories
        0–614922.696.04.0
        7–1329244.287.013.0
        1421933.264.435.6<.0001
    Diabetes mellitus
        Yes10615.682.117.9
        No57584.481.418.6.87
    Dementia
        Yes25036.794.85.2
        No43163.373.826.2<.001
    Night sweats
        Yes9814.477.622.4
        No58485.682.217.8.27
    • ADL, activities of daily living; IADL, instrumental activities of daily living.

    • View popup
    Table 2.

    Logistic and Cox Proportional Hazards Models for Mortality from the Geriatric Continuity Clinic Data Set

    Without Function VariablesWith Function Variables
    Mortality*PMortality*P
    Logistic model
        Age0.95 (0.92–0.98).0020.96 (0.92–0.99).015
        Sex (female)0.45 (0.24–0.81).0090.42 (0.24–0.75).005
        BMI0.91 (0.87–0.95)<.00010.92 (0.88–0.96).0002
        ADL0.83 (0.65–1.04).03
        IADL0.88 (0.78–0.99).03
        Dementia6.62 (3.45–14.08)<.00014.10 (2.03–8.30)<.0001
        Night sweats1.25 (0.68–2.38).481.14 (0.60–2.24).70
    Cox proportional hazards model
        Age0.96 (0.95–0.97)<.00010.96 (0.95–0.98)<.0001
        Sex (female)0.74 (0.61–0.89).0020.75 (0.61–0.90).003
        BMI0.95 (0.94–0.97)<.00010.96 (0.94–0.98)<.0001
        ADL0.88 (0.85–0.95)<.0001
        Dementia2.02 (1.68–2.43)<.00011.75 (1.45–2.12)<.0001
        Night sweats1.29 (1.00–1.67).0541.21 (0.93–1.57).16
    • * Data in Mortality columns provided as odds ratio (95 CI).

    • BMI, body mass index; ADL, activities of daily living; IADL, instrumental activities of daily living.

    • View popup
    Table 3.

    Descriptive Variables for the Oklahoma Longitudinal Assessment of the Health Outcomes of Mature Adults Studies Data Set

    VariablePatients (n)Overall Frequency (%)Proportion Dead (%)Proportion Alive (%)P
    Age (years)
        60–749911.63862
        75–8452262.02179
        85+22226.43169<.0002
    Sex
        Female48857.37723
        Male36442.77129.04
    Race
        White70391.22575
        Nonwhite1398.83268.19
    Education
         <High school17016.72773
        High school20924.62476
        >high school46458.72674.71
    Annual income
        <$15,00015919.63367
        $15,000-$35,00036244.62872
        >$35,00029135.81981.003
    Smoker
        Yes617.63367
        No73692.42476.15
    ADL categories
        0–620.35050
        7–1327833.73367
        1455566.02179.0005
    IADL categories
        0–630.57525
        7–1324429.13862
        1458970.42080<.0001
    Night sweats
        Yes9110.73466
        No75889.32575.05
    Severe night sweats
        Yes313.73961
        No81896.42575.09
    • ADL, activities of daily living; IADL, instrumental activities of daily living.

    • View popup
    Table 4.

    Logistic and Cox Proportional Hazards Models for Mortality from the Oklahoma Longitudinal Assessment of the Health Outcomes of Mature Adults Studies Data Set

    Without Function VariablesWith Function Variables
    Mortality*PMortality*P
    Logistic models
        Age0.99 (0.97–1.02).880.96 (0.94–0.98).001
        Sex (female)1.67 (1.18- 2.37).0042.28 (1.52–3.42)<.0001
        BMI0.96 (0.93–0.99).020.93 (0.90–0.96)<.0001
        Education1.12 (1.01–1.22).031.16 (1.04–1.29).006
        Income0.83 (0.75–0.91).00020.89 (0.80–0.99).03
        IADL score0.78 (0.67–0.91).002
        50-foot timed walk1.13 (1.09–1.18)<.0001
        Night sweats†0.72 (0.43–1.22).250.98 (0.54–1.80).95
        Severe night sweats†0.66 (0.29–1.48).310.95 (0.36–2.53).91
    Cox proportional hazards models
        Age0.99 (0.97–1.02).470.96 (0.94–0.98).001
        Sex (female)1.56 (1.17–2.09).0031.65 (1.20–2.26).002
        BMI0.96 (0.94–0.99).0090.94 (0.92–0.97)<.0001
        Education1.10 (1.02–1.19).021.11 (1.03–1.21).01
        Income0.84 (0.77–0.91)<.00010.89 (0.81–0.98).01
        IADL score0.80 (0.73–0.88)<.0001
        50-foot timed walk1.04 (1.03–1.05)<.0001
        Night sweats†1.28 (0.84–1.95).261.13 (0.71–1.79).62
        Severe night sweats†1.51 (0.79–2.86).211.25 (0.61–2.58).54
    • * Data in Mortality columns provided as odds ratio (95 CI).

    • † The variables “night sweats” and “severe night sweats” were added separately.

    • BMI, body mass index; IADL, instrumental activities of daily living.

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The Journal of the American Board of Family Medicine: 23 (1)
The Journal of the American Board of Family Medicine
Vol. 23, Issue 1
January-February 2010
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The Prognostic Implications of Night Sweats in Two Cohorts of Older Patients
James W. Mold, Frank Lawler
The Journal of the American Board of Family Medicine Jan 2010, 23 (1) 97-103; DOI: 10.3122/jabfm.2010.01.090052

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The Prognostic Implications of Night Sweats in Two Cohorts of Older Patients
James W. Mold, Frank Lawler
The Journal of the American Board of Family Medicine Jan 2010, 23 (1) 97-103; DOI: 10.3122/jabfm.2010.01.090052
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