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Research ArticleOriginal Research

Risk-Adjusted Comparison of Blood Pressure and Low-Density Lipoprotein (LDL) Noncontrol in Primary Care Offices

Karl Hammermeister, Michael Bronsert, William G. Henderson, Letoynia Coombs, Patrick Hosokawa, Elias Brandt, Cathy Bryan, Robert Valuck, David West, Winston Liaw, Michael Ho and Wilson Pace
The Journal of the American Board of Family Medicine November 2013, 26 (6) 658-668; DOI: https://doi.org/10.3122/jabfm.2013.06.130017
Karl Hammermeister
From the Colorado Health Outcomes Program (KH, MB, WGH, PH, DW, WP), the Division of Cardiology (KH, MH), and the Department of Family Medicine (LC, DW, WP), University of Colorado School of Medicine, Aurora; the Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora (WGH); the National Research Network, American Academy of Family Physicians, Leawood, KS (EB, WP); DI Consulting, Dallas, TX (CB); the Department of Clinical Pharmacy, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado, Aurora (RV); Fairfax Family Medicine Residency Program, Virginia Commonwealth University, Fairfax (WL); and the Denver VA Medical Center, Denver, CO (MH).
MD
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Michael Bronsert
From the Colorado Health Outcomes Program (KH, MB, WGH, PH, DW, WP), the Division of Cardiology (KH, MH), and the Department of Family Medicine (LC, DW, WP), University of Colorado School of Medicine, Aurora; the Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora (WGH); the National Research Network, American Academy of Family Physicians, Leawood, KS (EB, WP); DI Consulting, Dallas, TX (CB); the Department of Clinical Pharmacy, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado, Aurora (RV); Fairfax Family Medicine Residency Program, Virginia Commonwealth University, Fairfax (WL); and the Denver VA Medical Center, Denver, CO (MH).
PhD
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William G. Henderson
From the Colorado Health Outcomes Program (KH, MB, WGH, PH, DW, WP), the Division of Cardiology (KH, MH), and the Department of Family Medicine (LC, DW, WP), University of Colorado School of Medicine, Aurora; the Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora (WGH); the National Research Network, American Academy of Family Physicians, Leawood, KS (EB, WP); DI Consulting, Dallas, TX (CB); the Department of Clinical Pharmacy, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado, Aurora (RV); Fairfax Family Medicine Residency Program, Virginia Commonwealth University, Fairfax (WL); and the Denver VA Medical Center, Denver, CO (MH).
PhD, MPH
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Letoynia Coombs
From the Colorado Health Outcomes Program (KH, MB, WGH, PH, DW, WP), the Division of Cardiology (KH, MH), and the Department of Family Medicine (LC, DW, WP), University of Colorado School of Medicine, Aurora; the Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora (WGH); the National Research Network, American Academy of Family Physicians, Leawood, KS (EB, WP); DI Consulting, Dallas, TX (CB); the Department of Clinical Pharmacy, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado, Aurora (RV); Fairfax Family Medicine Residency Program, Virginia Commonwealth University, Fairfax (WL); and the Denver VA Medical Center, Denver, CO (MH).
MS, EdD
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Patrick Hosokawa
From the Colorado Health Outcomes Program (KH, MB, WGH, PH, DW, WP), the Division of Cardiology (KH, MH), and the Department of Family Medicine (LC, DW, WP), University of Colorado School of Medicine, Aurora; the Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora (WGH); the National Research Network, American Academy of Family Physicians, Leawood, KS (EB, WP); DI Consulting, Dallas, TX (CB); the Department of Clinical Pharmacy, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado, Aurora (RV); Fairfax Family Medicine Residency Program, Virginia Commonwealth University, Fairfax (WL); and the Denver VA Medical Center, Denver, CO (MH).
MS
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Elias Brandt
From the Colorado Health Outcomes Program (KH, MB, WGH, PH, DW, WP), the Division of Cardiology (KH, MH), and the Department of Family Medicine (LC, DW, WP), University of Colorado School of Medicine, Aurora; the Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora (WGH); the National Research Network, American Academy of Family Physicians, Leawood, KS (EB, WP); DI Consulting, Dallas, TX (CB); the Department of Clinical Pharmacy, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado, Aurora (RV); Fairfax Family Medicine Residency Program, Virginia Commonwealth University, Fairfax (WL); and the Denver VA Medical Center, Denver, CO (MH).
BS
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Cathy Bryan
From the Colorado Health Outcomes Program (KH, MB, WGH, PH, DW, WP), the Division of Cardiology (KH, MH), and the Department of Family Medicine (LC, DW, WP), University of Colorado School of Medicine, Aurora; the Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora (WGH); the National Research Network, American Academy of Family Physicians, Leawood, KS (EB, WP); DI Consulting, Dallas, TX (CB); the Department of Clinical Pharmacy, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado, Aurora (RV); Fairfax Family Medicine Residency Program, Virginia Commonwealth University, Fairfax (WL); and the Denver VA Medical Center, Denver, CO (MH).
MHA, BSN, RN
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Robert Valuck
From the Colorado Health Outcomes Program (KH, MB, WGH, PH, DW, WP), the Division of Cardiology (KH, MH), and the Department of Family Medicine (LC, DW, WP), University of Colorado School of Medicine, Aurora; the Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora (WGH); the National Research Network, American Academy of Family Physicians, Leawood, KS (EB, WP); DI Consulting, Dallas, TX (CB); the Department of Clinical Pharmacy, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado, Aurora (RV); Fairfax Family Medicine Residency Program, Virginia Commonwealth University, Fairfax (WL); and the Denver VA Medical Center, Denver, CO (MH).
PhD, RPh
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David West
From the Colorado Health Outcomes Program (KH, MB, WGH, PH, DW, WP), the Division of Cardiology (KH, MH), and the Department of Family Medicine (LC, DW, WP), University of Colorado School of Medicine, Aurora; the Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora (WGH); the National Research Network, American Academy of Family Physicians, Leawood, KS (EB, WP); DI Consulting, Dallas, TX (CB); the Department of Clinical Pharmacy, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado, Aurora (RV); Fairfax Family Medicine Residency Program, Virginia Commonwealth University, Fairfax (WL); and the Denver VA Medical Center, Denver, CO (MH).
PhD
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Winston Liaw
From the Colorado Health Outcomes Program (KH, MB, WGH, PH, DW, WP), the Division of Cardiology (KH, MH), and the Department of Family Medicine (LC, DW, WP), University of Colorado School of Medicine, Aurora; the Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora (WGH); the National Research Network, American Academy of Family Physicians, Leawood, KS (EB, WP); DI Consulting, Dallas, TX (CB); the Department of Clinical Pharmacy, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado, Aurora (RV); Fairfax Family Medicine Residency Program, Virginia Commonwealth University, Fairfax (WL); and the Denver VA Medical Center, Denver, CO (MH).
MD
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Michael Ho
From the Colorado Health Outcomes Program (KH, MB, WGH, PH, DW, WP), the Division of Cardiology (KH, MH), and the Department of Family Medicine (LC, DW, WP), University of Colorado School of Medicine, Aurora; the Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora (WGH); the National Research Network, American Academy of Family Physicians, Leawood, KS (EB, WP); DI Consulting, Dallas, TX (CB); the Department of Clinical Pharmacy, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado, Aurora (RV); Fairfax Family Medicine Residency Program, Virginia Commonwealth University, Fairfax (WL); and the Denver VA Medical Center, Denver, CO (MH).
MD, PhD
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Wilson Pace
From the Colorado Health Outcomes Program (KH, MB, WGH, PH, DW, WP), the Division of Cardiology (KH, MH), and the Department of Family Medicine (LC, DW, WP), University of Colorado School of Medicine, Aurora; the Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora (WGH); the National Research Network, American Academy of Family Physicians, Leawood, KS (EB, WP); DI Consulting, Dallas, TX (CB); the Department of Clinical Pharmacy, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado, Aurora (RV); Fairfax Family Medicine Residency Program, Virginia Commonwealth University, Fairfax (WL); and the Denver VA Medical Center, Denver, CO (MH).
MD
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  • Article
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    Figure 1.

    Flow diagram illustrating both criteria for blood pressure (BP) control from the Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure and the numbers (percentages) of patients at each step. CKD, chronic kidney disease.

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    Figure 2.

    Flow diagram illustrating National Cholesterol Education Program (NCEP) criteria for low-density lipoprotein (LDL) control and numbers (percentages) of patients at each step. *Coronary heard disease (CHD) equivalent includes diabetes, cerebral vascular disease, peripheral vascular disease, and abdominal aortic aneurysm. †NCEP nonlipid risk factors include age (male >45 years, female >55 years); family history of premature coronary artery disease; current cigarette smoking; hypertension (blood pressure >140/90 or taking antihypertensive medication); low high-density lipoprotein (HDL) (>40 mg/dL; if HDL >60 mg/dL, subtract one risk factor).

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    Figure 3.

    Comparison of rank-order of clinics by unadjusted and risk-adjusted blood pressure (BP) control.

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    Figure 4.

    Comparison of rank-order of clinics by unadjusted and risk-adjusted low-density lipoprotein (LDL) cholesterol control.

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    Figure A1.

    Risk-adjusted percentage of patients with uncontrolled blood pressure (BP), by clinic.

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    Figure A2.

    Risk-adjusted percentage of patients with uncontrolled low-density lipoprotein (LDL)-cholesterol, by clinic.

Tables

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    Table 1. Population Characteristics (n = 232,172)
    Selected Patient Characteristics and Risk-Adjustment VariablesPrevalence
    Adverse drug effects1,134 (0.49)
    Age (years)
        18–4095,639 (41.2)
        41–6094,978 (40.9)
        61–8035,971 (15.5)
        >805,584 (2.4)
    Alcohol or drug abuse11,326 (4.9)
    Anemia10,442 (4.5)
    Body mass index (kg/m2)
        <18.5 (underweight)3,557 (1.5)
        18.5–24.9 (normal)67,834 (29.2)
        25.0–29.9 (overweight)73,852 (31.8)
        30.0–34.9 (class I obese)39,744 (17.1)
        35.0–39.9 (class II obese)16,041 (6.9)
        ≥40.0 (class III obese)9,967 (4.3)
        Missing21,177 (9.1)
    Cataract/aphakia4,081 (1.8)
    Cerebral vascular disease or CVA3,612 (1.6)
    Congestive heart failure1,518 (0.7)
    Depression or anxiety50,822 (21.9)
    Diabetes mellitus14,804 (6.4)
    Ischemic heart disease6,007 (2.6)
    Hepatitis or mononucleosis2,356 (1.0)
    Hyperlipidemia65,343 (28.1)
    Hypertension58,849 (25.3)
    Chronic kidney disease2,667 (1.1)
    Male sex101,184 (43.6)
    Medical or surgical aftercare12,871 (5.5)
    Neoplasm, benign26,926 (11.6)
    Neoplasm, malignant3,308 (1.4)
    Obesity16,089 (6.9)
    Peripheral vascular disease1,835 (0.8)
    Personality disorders192 (0.1)
    Pulmonary disease, chronic obstructive3,709 (1.6)
    Prostatitis/BPH7,821 (3.4)
    Psychosocial problem1,463 (0.6)
    Respiratory tract infection, acute lower22,820 (9.8)
    Respiratory tract infection, acute upper47,984 (20.7)
    Rhinitis, chronic49,977 (21.5)
    Routine health maintenance126,419 (54.5)
    Schizophrenia or affective psychosis5,660 (2.4)
    Visits per year (n)
        1 or 2141,393 (60.9)
        3 or 447,948 (20.7)
        5 or 617,764 (7.7)
        >625,067 (10.8)
    • Data are n (%).

    • BPH, benign prostatic hyperplasia; CVA, cerebrovascular accident.

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    Appendix Table 1. International Classification of Diseases, Ninth Revision (ICD-9), Code Criteria for Comorbidity and Coronary Heart Disease Risk Factors Used to Construct a Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure (BP) Guideline Concordance Algorithm*
    ClassificationDiseaseICD-9 Code
    I. Higher risk (BP goal <130/80 mmHg)Diabetes249.xx, Secondary diabetes mellitus
    250.xx, Diabetes mellitus
    Chronic kidney disease403.xx, Hypertensive chronic kidney disease
    404.xx, Hypertensive heart and chronic kidney disease
    581, Nephrotic syndrome
    582, Chronic glomerulonephritis
    585.x, Chronic kidney disease
    585, Renal failure, unspecified
    V42, Organ or tissue replaced by transplant: V42.0, Kidney
    V45, Other postprocedural states V45.1x, Renal dialysis status
    V56.xx, Encounter for dialysis and dialysis catheter care
    II. Lower risk (BP goal <140/90 mmHg)No diabetes diagnoses (see above)
    No chronic kidney disease diagnoses (see above)
    • Data from Chobanian AV, Bakris GL, Black HR, et al. Seventh report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure. Hypertension 2003;42:1205–52 (http://www.nhlbi.nih.gov/guidelines/hypertension/jnc7full.htm); and the 2009 ICD-9-CM (http://icd9cm.chrisendres.com/).

    • ↵* See Figure 1.

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    Appendix Table 2. International Classification of Diseases, Ninth Revision, Code Criteria for Comorbidity and Coronary Heart Disease (CHD) Risk Factors Used to Construct the National Cholesterol Education Program Guideline Concordance Algorithm*
    Coronary heart disease410.xx, Acute myocardial infarction
    411.xx, Other acute and subacute forms of ischemic heart disease
    412, Old myocardial infarction
    413.x, Angina pectoris
    414.xx, Other forms of chronic ischemic heart disease
    429, Ill-defined descriptions and complications of heart disease
        429.7 Certain sequelae of myocardial infarction, not elsewhere classified
            429.71 Acquired cardiac septal defect
            429.79 Other
    V45, Other postprocedural states
        V45.8, Other postprocedural status
            V45.81, Aortocoronary bypass status
            V45.82 Percutaneous transluminal coronary angioplasty status
    CHD equivalent
        Diabetes249.xx, Secondary diabetes mellitus
    250.xx, Diabetes mellitus
    648, Other current conditions in the mother classifiable elsewhere, but complicating pregnancy, childbirth, or the puerperium
        648.0 Diabetes mellitus
        Peripheral arterial disease440.xx, Atherosclerosis
    443, Other peripheral vascular disease
        443.8, Other specified peripheral vascular diseases
            443.81, Peripheral angiopathy in diseases classified elsewhere
            443.9, Peripheral vascular disease, unspecified
    444, Arterial embolism and thrombosis
        444.2, Of arteries of the extremities
            444.21, Upper extremity
            444.22, Lower extremity
    445, Atheroembolism
        445.0, Of extremities
            445.01, Upper extremity
            445.02, Lower extremity
        Cerebral vascular disease433.xx, Occlusion and stenosis of precerebral arteries
    434.xx, Occlusion of cerebral arteries
    435.x, Transient cerebral ischemia
    436, Acute, but ill-defined, cerebrovascular disease
    437.x Other and ill-defined cerebrovascular disease
    438.xx, Late effects of cerebrovascular disease
    V12, Personal history of certain other diseases
        V12.5, Diseases of circulatory system
            V12.54, Transient ischemic attack and cerebral infarction without residual deficits
        Abdominal aortic aneurysm441, Aortic aneurysm and dissection
        441.0, Dissection of aorta
            441.02, Abdominal
            441.03, Thoracoabdominal
        441.3, Abdominal aneurysm, ruptured
        441.4, Abdominal aneurysm without mention of rupture
        441.5, Aortic aneurysm of unspecified site, ruptured
        441.6, Thoracoabdominal aneurysm, ruptured
        441.7, Thoracoabdominal aneurysm, without mention of rupture
        441.9, Aortic aneurysm of unspecified site without mention of rupture
    Risk factors used in assessing risk category for primary prevention†
        HDL cholesterol≥60 mg/dL (−1)
        AgeMen, ≥45 years; women ≥55 years (1)
        Cigarette smokingYes (1)
        HypertensionBP ≥140/90 mmHg (average of 2 most recent measurements) or taking antihypertensive medication (1)
        Low HDL cholesterol<40 mg/dL (1)
        High HDL cholesterol≥60 mg/dL (−1)
        Family history of premature CHDCHD in male first-degree relative <55 years old; CHD in female first-degree relative <65 years old (not consistently available in DARTNet) (1)
    • Data from Ref. 14 or http://www.nhlbi.nih.gov/guidelines/cholesterol/atp3_rpt.htm and the 2009 ICD-9-CM (http://icd9cm.chrisendres.com/).

    • ↵* See Figure 3.

    • ↵† In patients without CHD or CHD equivalent. Risk factor score is the sum of bolded numbers in parentheses at end of statements 1–6.

    • BP, blood pressure; HDL, high-density lipoprotein.

    • View popup
    Appendix Table 3. International Classification of Diseases, Ninth Revision (ICD-9), Diagnostic Code Clusters for Morbidity Assessment in Ambulatory Care
    No.Diagnostic/Process ClusterICD-9 Codes to Include
    FromTo
    1Hernia (external abdominal)550
    551.0551.2
    552.0552.2
    553.0553.2
    2Abdominal pain789
    3Acne, diseases of sweat and sebaceous glands695.3
    705705.9
    706.0706.9
    4Intestinal infectious diseases/scute gastroenteritis001005.9
    006.0006.2
    007009
    558.9
    5Acute sprains, strains840848.9
    6Adverse effects of medicinal agents960979.9
    995995.2
    995.4
    7Alcohol and drug abuse291292.9
    303305.8
    571.0571.3
    648.3
    8Allergic reaction995.3
    9Allergy treatment/desensitizationV07.1
    V72.7
    10Iron deficiency and other deficiency anemias280281.9
    11Arrhythmia427427.9
    785.0
    12Asthma493493.9
    13Breast lump611.72
    14Burns940949.9
    15Bursitis, dynovitis, tenosynovitis726
    727.00727.01
    727.04727.9
    727.2727.3
    16Cataract, aphakia366366.9
    379.3x
    743.3x
    998.82
    V45.61
    17Cerebral vascular disease/CVA430438.9
    18Chest pain786.5x
    19Heart failure428428.9x
    20Conjunctivitis, keratitis053.21
    054.42054.43
    077077.9x
    130.1
    370370.9
    372372.3x
    21Contraceptionv25.0v25.9
    22COPD/chronic bronchitis491492.9
    494494.9
    496496.9
    23Deafness387387.9
    388.2
    389389.9
    24Degenerative joint disease715717.x
    25Depression, anxiety, neuroses (nonpsychotic)300.0
    300.4
    300.5
    306
    308309
    311
    313
    799.2
    26Dermatitis and eczema690693.9
    698.2698.4
    706.3
    27Dermatophytosis110111.9
    28Diabetes mellitus250
    648.0
    29Diaphragmatic hernia551.3
    552.3
    553.3
    30Disease of hair and hair follicles704704.9
    31Diverticular disease562
    32Thrombophlebitis, pulmonary embolism415.1
    451
    453
    673
    V12.51V12.52
    33Impacted cerumen (wax in ear)380.4
    34Enlarged tonsils474
    35Fibrocystic breast disease610
    36Fibrositis and myalgia719.4719.5
    729.0729.1
    729.4729.5
    37Foreign body in eye930930.9
    360.5x360.6
    38Fractures and dislocations800839.9
    39Ganglion727.4x
    40Gall bladder and biliary tract diseases574576.9
    41Glaucoma365
    42Gout274
    43Headache339
    346
    784
    307.81
    44Hematuria599.7x
    45Helminthiasis, scabies, lice120129.9
    132133.9
    46Hemorrhoids/perirectal disease455455.9
    565566.9
    569569.4
    47Hepatitis/mononucleosis070
    075
    573.3
    48Hyperlipidemia272272.4
    49Hypertension401405.9
    437.2
    796.2
    50Infections of eyelid373373.2
    373.4373.6
    51Infertility606
    628
    v26.0v26.2
    v26.8v26.9
    52Irritable bowel syndrome564.1
    564.5
    53Ischemic heart disease410414.9
    429.7
    V45.81
    V45.82
    54Keratoses702.0702.1
    55Lacerations/contusions530.7
    618.7
    620.6
    622.3
    623.4
    624.4
    664
    665.3x665.4
    800.1x
    800.6x
    801.1x
    801.6x
    803.1x
    803.6x
    804.1x
    804.6x
    851
    861
    865866
    870887.x
    890
    891897.x
    900904.x
    910929.x
    950957.x
    959.x
    998.2
    56Low back pain720
    721.3
    721.42
    722.10
    722.52
    724.02
    724.2724.3
    724.6724.7
    57Lymphadenopathy785.6
    58Medical and surgical aftercareV51.0V55
    V58.7V58.9
    V67.0V67.9
    59Menopausal symptoms256.3x
    627.2
    627.4627.9
    60Menstrual disorders625.3625.4
    626627.1
    61Neoplasm, malignant, involving skin172173.9
    232232.9
    62Neoplasm, malignant, not involving skin140165.9
    170171.9
    174176.9x
    179209.x
    230231.9
    233234.9
    63Neoplasm, benign210229.9
    235239.9
    64Nonfungal skin infections607.1607.2
    680686.9
    65Obesity278
    66Otitis externa380.1380.2
    67Otitis media381381.4
    382382.9
    384384.1
    388.7
    385.1
    68Parkinson's disease332.x
    69Peptic diseases530.1530.2
    531535.9
    530.81
    70Peripheral neuropathy354355.9
    356.1356.4
    357357.9
    71Peripheral vascular disease440.2440.4
    443.x
    72Personality disorders301301.9
    73Pregnancy and abortion630.x633x
    634.x639.9
    640646.4
    646.7646.9
    650666.x
    670677.x
    v22.0v24.9
    74Prostatitis and benign prostatic hypertrophy600.0601.9
    75Psoriasis/pityriasis696696.9
    76Psychosocial problemv60.0v62.9
    77Refractive errors367.0367.9
    78Renal calculi592.0592.9
    79Respiratory tract infection, acute upper032.0034.9
    460460.9
    462465.9
    475475.9
    487.1487.9
    519.8
    80Respiratory tract infection, acute lower466466.9
    480488
    490490.9
    81Rheumatoid diseases714714.9
    82Rhinitis, chronic472.0
    472.2
    477477.9
    83Routine health maintenanceV01.0V07.0
    V07.2V07.9
    V20.0V21.9
    V28.0V28.9
    V30.0V37.9
    V39.0V39.9
    V65.5
    V70.0V72.6
    V72.8V82.9
    84Schizophrenia and affective psychosis295298.9
    85Scoliosis/kyphosis737737.9
    86Seizure disorder345345.9
    780.3
    779.0
    87Sexually transmitted diseases054.1
    09099.9
    112.1112.2
    608
    614614.99
    616.x
    88Sinusitis461461.9
    473473.9
    89Skin ulcer707707.9
    90Strabismus378378.9
    91Thyroid disease240246.9
    648.1
    92Urethral stricture598598.9
    753.6
    93Urinary tract infection590590.9
    595595.9
    599.0
    646.5646.6
    771.82
    V13.02
    94Urticaria708708.9
    995.1
    95Uterine prolapse618.1618.4
    96Vaginitis112.1
    131.00131.01
    616.1
    623.5
    627.3
    97Valvular heart disease391.1
    391.9
    394397.9
    424424.9
    98Varicose veins454454.9
    99Vertiginous syndromes386386.9
    780.4
    100Viral exanthem051059.x
    74.3
    101Warts78.1
    102Chronic kidney disease403404.x
    581582.x
    585586
    V42.0
    V45.11V45.12
    V56.xx
    103Abdominal aortic aneurysm441.xx
    • COPD, chronic obstructive pulmonary disorder; CVA, cerebrovascular accident.

    • View popup
    Appendix Table 4. Forward Logistic Regression Model of Patient-Level Factors with Blood Pressure Noncontrol per Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure Guideline*
    CovariateParameter EstimateP ValueOdds Ratio (95% CI)Cumulative C-Index
    Intercept−3.1521<.0001
    Hypertension1.7286<.00015.63 (5.46–5.81)0.735
    Diabetes mellitus1.5772<.00014.84 (4.64–5.06)0.764
    Body mass index (kg/m2)
        <18.5 (underweight)−0.0544.450.95 (0.82–1.09)0.802
        18.5–24.9 (normal)Reference
        25.0–29.9 (overweight)0.4171<.00011.52 (1.46–1.58)0.802
        30.0–34.9 (obesity, class I)0.7208<.00012.06 (1.97–2.14)0.802
        35.0–39.9 (obesity, class II)0.9440<.00012.57 (2.44–2.71)0.802
        >40.0 (obesity, class III)1.1896<.00013.29 (3.09–3.50)0.802
    Visits (n)
        1–2Reference
        3–4−0.2921<.00010.75 (0.72–0.77)0.806
        5–6−0.3149<.00010.73 (0.69–0.77)0.806
        >6−0.3348<.00010.72 (0.68–0.75)0.806
    Age (years)
        18–40Reference
        41–60−0.3831<.00011.47 (1.42–1.52)0.812
        61–800.6374<.00011.89 (1.81–1.98)0.812
        >800.9475<.00012.58 (2.38–2.79)0.812
    Male sex0.3835<.00011.47 (1.43–1.51)0.817
    Hyperlipidemia−0.2812<.00010.75 (0.73–0.78)0.818
    Kidney disease, chronic0.8324<.00012.30 (2.09–2.53)0.819
    Ischemic heart disease−0.4755<.00010.62 (0.58–0.67)0.820
    Prostatitis and benign prostatic hyperplasia−0.3367<.00010.71 (0.67–0.76)0.821
    • ↵* Number of observations read: 227,123; number of observations used: 209,582.

    • CI, confidence interval.

    • View popup
    Appendix Table 5. Forward Logistic Regression Model of Patient-Level Factors Associated with Low-Density Lipoprotein Cholesterol Noncontrol per the National Cholesterol Education Program Guideline*
    CovariateParameter EstimateP ValueOdds Ratio (95% CI)Cumulative C-Index
    Intercept−3.3493<.0001
    Hyperlipidemia0.9236<.00012.52 (2.43–2.61)0.654
    Diabetes mellitus0.8920<.00012.44 (2.33–2.56)0.682
    Body mass index (kg/m2)
        <18.5 (underweight)0.0269.781.03 (0.85–1.25)0.710
        18.5–24.9 (normal)Reference
        25.0–29.9 (overweight)0.4519<.00011.57 (1.50–1.65)0.710
        30.0–34.9 (obesity, class I)0.6028<.00011.83 (1.73–1.92)0.710
        35.0–39.9 (obesity, class II)0.6231<.00011.86 (1.75–1.99)0.710
        ≥40.0 (obesity, class III)0.6632<.00011.94 (1.79–2.10)0.710
    Age (years)
        18–40Reference
        41–600.5888<.00011.80 (1.72–1.89)0.719
        61–800.4737<.00011.61 (1.52–1.70)0.719
        >800.5006<.00011.65 (1.48–1.83)0.719
    Cerebral vascular disease/CVA0.9993<.00012.72 (2.49–2.96)0.726
    Male sex0.2206<.00011.25 (1.20–1.29)0.731
    Visits/year (n)
        1–2Reference
        3–4−0.1678<.00010.85 (0.81–0.88)0.731
        5–6−0.1625<.00010.85 (0.80–0.90)0.731
        >6−0.2212<.00010.80 (0.76–0.84)0.731
    Alcohol and drug abuse0.3537<.00011.42 (1.34–1.52)0.733
    Anemia−0.3073<.00010.74 (0.68–0.79)0.733
    Hypertension0.1848<.00011.20 (1.16–1.25)0.734
    • ↵* Number of observations read: 136,771; number of observations used: 131,589.

    • CI, confidence interval; CVA, cerebrovascular accident.

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The Journal of the American Board of Family     Medicine: 26 (6)
The Journal of the American Board of Family Medicine
Vol. 26, Issue 6
November-December 2013
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Risk-Adjusted Comparison of Blood Pressure and Low-Density Lipoprotein (LDL) Noncontrol in Primary Care Offices
Karl Hammermeister, Michael Bronsert, William G. Henderson, Letoynia Coombs, Patrick Hosokawa, Elias Brandt, Cathy Bryan, Robert Valuck, David West, Winston Liaw, Michael Ho, Wilson Pace
The Journal of the American Board of Family Medicine Nov 2013, 26 (6) 658-668; DOI: 10.3122/jabfm.2013.06.130017

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Risk-Adjusted Comparison of Blood Pressure and Low-Density Lipoprotein (LDL) Noncontrol in Primary Care Offices
Karl Hammermeister, Michael Bronsert, William G. Henderson, Letoynia Coombs, Patrick Hosokawa, Elias Brandt, Cathy Bryan, Robert Valuck, David West, Winston Liaw, Michael Ho, Wilson Pace
The Journal of the American Board of Family Medicine Nov 2013, 26 (6) 658-668; DOI: 10.3122/jabfm.2013.06.130017
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