Short-term outcomes and their predictors for patients hospitalized with community-acquired pneumonia

Vecchiarino, Pamela; Bohannon, Richard W.; Ferullo, Jenifer; Maljanian, Rose

doi:10.1016/j.hrtlng.2004.03.007

Cited by 51 publications

(40 citation statements)

References 25 publications

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“…Hand grip strength has repeatedly been shown to be an excellent indicator of short-and long-term outcome, particularly in the old. [32][33][34][35] In our study, hand grip strength lost its prognostic significance when the PhA was included in the regression models for survival analysis. This strengthens the rationale for using PhA values for the identification of at-risk patients because grip strength measurements, although in general easy and feasible, cannot be performed by all old or geriatric patients.…”

Section: Discussionmentioning

confidence: 64%

The Bioimpedance Phase Angle Predicts Low Muscle Strength, Impaired Quality of Life, and Increased Mortality in Old Patients With Cancer

Norman

Wirth

Neubauer

et al. 2015

Journal of the American Medical Directors Association

146

101

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Section: Discussionmentioning

confidence: 64%

The Bioimpedance Phase Angle Predicts Low Muscle Strength, Impaired Quality of Life, and Increased Mortality in Old Patients With Cancer

Norman

Wirth

Neubauer

et al. 2015

Journal of the American Medical Directors Association

146

101

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“…Handgrip strength has been shown repeatedly to be an excellent indicator of short-and long-term outcome (29)(30)(31)(32), but in this setting handgrip strength lost its prognostic significance when the standardized phase angle was included in the regression models for survival analysis.…”

Section: Discussionmentioning

confidence: 99%

Cutoff percentiles of bioelectrical phase angle predict functionality, quality of life, and mortality in patients with cancer

Norman

Stobäus

Zocher

et al. 2010

The American Journal of Clinical Nutrition

295

264

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Background: The bioelectrical phase angle has shown predictive potential in various diseases, but general cutoffs are lacking in the clinical setting. Objectives: This study evaluated the prognostic value of the fifth percentile of sex-, age-, and body mass index-stratified phase angle reference values in patients with cancer with respect to nutritional and functional status, quality of life, and 6-mo mortality. In a second step, we also studied the effect of the standardized phase angle (with a z score to determine individual deviations from the population average) on these variables. Design: A total of 399 patients with cancer were studied. Phase angle was obtained with bioelectrical impedance analysis; muscle function was assessed by handgrip strength and peak expiratory flow. Quality of life was determined by the European Organization for Research and Treatment of Cancer questionnaire. Nutritional status was assessed by using Subjective Global Assessment. Survival of patients was documented after 6 mo. Results: Patients with a phase angle of less than the fifth reference percentile had significantly lower nutritional and functional status, impaired quality of life (P , 0.0001), and increased mortality (P , 0.001). The standardized phase angle emerged as a significant predictor for malnutrition and impaired functional status in generalized linear model regression analyses. It was also a stronger indicator of 6-mo survival than were malnutrition and disease severity in the Cox regression model (P , 0.0001) and according to the receiver operating characteristic curve. Conclusions: The standardized phase angle is an independent predictor for impaired nutritional and functional status and survival. The fifth phase angle reference percentile is a simple and prognostically relevant cutoff for detection of patients with cancer at risk for these factors.Am J Clin Nutr 2010;92:612-9.

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“…Older adults hospitalized with pneumonia often have several comorbidities and utilize costly services (e.g., intensive care units, life support systems), thus, increasing the burden of this disease (Kaplan et al, 2002). Patient outcomes commonly studied or recommended for study in the pneumonia population are mortality (Balas, Casey, & Happ, 2008;Kane, Shamliyan, Mueller, Duval, & Wilt, 2007;Loeb et al, 2006;Mody, Sun, & Bradley, 2006;Restrepo, Mortensen, Velez, Frei, & Anzueto, 2008;Vecchiarino, Bohannon, Ferullo, & Maljanian, 2004), hospital admission and readmission (Loeb et al, 2006;Vecchiarino et al, 2004), cost (Metersky, Tate, Fine, Petrillo, & Meehan, 2000), and LOS (Mody et al, 2006;Restrepo et al, 2008;Vecchiarino et al, 2004). The literature does not usually specify nursing-sensitive patient outcomes, but the problems and interventions discussed in the literature indicate the necessity to measure outcomes influenced by nursing intervention, such as immune status, gas exchange, ventilation, ambulation, smoking/tobacco cessation behavior, infection severity, knowledge (Mandell et al, 2007), pain level (Balas et al, 2008;Mandell et al, 2007), airway patency (Hecht, Siple, Deitz, & Williams, 1995), hydration (Coleman, 2004;Mandell et al, 2007), nutritional status, and self-care: activities of daily living (Balas et al, 2008;Coleman, 2004).…”

Section: Outcomes Of Interest In Study Populationsmentioning

confidence: 99%

Evaluation of Outcome Change Scores for Patients With Pneumonia or Heart Failure

Scherb

Head

Hertzog³

et al. 2011

West J Nurs Res

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This study was conducted to describe the variance in selected Nursing Outcomes Classification (NOC) outcome change scores of hospitalized older patients with pneumonia (n = 216) or heart failure (HF; n = 67) that could be explained by age, length of stay (LOS), number of comorbid conditions, number of nursing diagnoses, and number of nursing interventions. Investigators used a descriptive correlational design to analyze data sets from three U.S. community hospitals. Study participants had at least two ratings on one of nine outcomes selected for their frequency and use across the three hospitals. A significant portion of the variance in the outcomes Knowledge: Illness Care and Fall Prevention Behavior was explained for pneumonia patients. None of the regression models for HF patients showed significance. Individual independent variables were significant in some of the models (i.e., LOS [pneumonia], number of nursing diagnoses [pneumonia and HF]). Implications for research and clinical practice are discussed.

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Short-term outcomes and their predictors for patients hospitalized with community-acquired pneumonia

Cited by 51 publications

References 25 publications

The Bioimpedance Phase Angle Predicts Low Muscle Strength, Impaired Quality of Life, and Increased Mortality in Old Patients With Cancer

The Bioimpedance Phase Angle Predicts Low Muscle Strength, Impaired Quality of Life, and Increased Mortality in Old Patients With Cancer

Cutoff percentiles of bioelectrical phase angle predict functionality, quality of life, and mortality in patients with cancer

Evaluation of Outcome Change Scores for Patients With Pneumonia or Heart Failure

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