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Full-Text Articles in Medicine and Health Sciences
Renal Osteodystrophy In Older Adults With End-Stage Renal Disease, C. Roth, Kennith Culp
Renal Osteodystrophy In Older Adults With End-Stage Renal Disease, C. Roth, Kennith Culp
Kennith R. Culp
No abstract provided.
Acute Confusion Indicators: Risk Factors And Prevalence Using Mds Data, J. Mentes, Kennith Culp, Meridean Maas, M. Rantz
Acute Confusion Indicators: Risk Factors And Prevalence Using Mds Data, J. Mentes, Kennith Culp, Meridean Maas, M. Rantz
Kennith R. Culp
OBJECTIVE: The purpose of this study was to use Minimum Data Set (MDS) data from LTC (long-term care) in one Midwestern state to test whether risk variables derived from a conceptual model developed from findings in acute care predicted acute confusion in long-term care residents. DESIGN: Cross-sectional. SETTING: MDS nursing home records. POPULATION: The sample was composed predominantly of women (n = 1,775). INTERVENTIONS: The 1995 MIS annual reviews of nursing home residents from a Midwestern state provided the data for analysis; however missing data, on the average about 10% for the acute confusion/delirium indicators, reduced the sample to 2,318. …
Screening For Acute Confusion In Elderly Long-Term Care Residents, Kennith Culp, Toni Tripp-Reimer, K. Wadle, B. Wakefield, J. Akins, Paula Mobily, M. Kundradt
Screening For Acute Confusion In Elderly Long-Term Care Residents, Kennith Culp, Toni Tripp-Reimer, K. Wadle, B. Wakefield, J. Akins, Paula Mobily, M. Kundradt
Kennith R. Culp
While acute confusion (AC) is frequently studied in the hospitalized elderly population, this phenomena has been largely ignored in elders who are residents in long-term care (LTC) facilities. The purpose of this study was to estimate the prevalence of AC in older LTC residents, the antecedent conditions present at the time of the AC event and the recognition rate of AC when assessed by staff nurses in two LTC facilities. This is a descriptive, longitudinal study with a 14 day follow-up period which incorporates a screening algorithm using AC instruments with established psychometric properties. A behavioral symptom instrument was also …
Modeling Mortality Risk In Hemodialysis Patients Using Laboratory Values As Time-Dependent Covariates, Kennith Culp, M. Flanigan, E. Lowrie, N. Lew, B. Zimmerman
Modeling Mortality Risk In Hemodialysis Patients Using Laboratory Values As Time-Dependent Covariates, Kennith Culp, M. Flanigan, E. Lowrie, N. Lew, B. Zimmerman
Kennith R. Culp
Proportional hazards analyses assume that the magnitude of mortality risk for a predictor variable remains proportional over time. In a time-dependent model, the explanatory variable violates this assumption, and repeat observations are required to accommodate the change in risk that occurs over time. Using a retrospective cohort design, we tested the following laboratory values for a time-by-covariate interaction: hematocrit (HCT), serum albumin (ALB), and serum creatinine (CR). A random sample of 4,083 hemodialysis patients whose specimens were analyzed in a central laboratory over a 3-year period served as the study group. Using the baseline observation, we discovered significant probability values …
Clinical Profile Of Acute Confusion In The Long-Term Care Setting, P. Cacchione, Kennith Culp, J. Laing, Toni Tripp-Reimer
Clinical Profile Of Acute Confusion In The Long-Term Care Setting, P. Cacchione, Kennith Culp, J. Laing, Toni Tripp-Reimer
Kennith R. Culp
Aspects of acute confusion (AC) including risk factors, behavior patterns, and outcomes are not well documented in long-term care (LTC) residents. The purpose of this prospective study was to describe the clinical profile of AC in LTC including risk factors, behavior patterns, etiologies, and 3-month outcomes. Seventy-four elderly LTC residents were assessed for AC, depression, and global cognitive impairment. Risk factors associated with AC included hearing deficits, depression, pulmonary disorders, and abnormal serum sodium or potassium levels. Behavior patterns of acutely confused residents included hyperactive (n = 9, 31%), hypoactive (n = 8, 28%), and mixed (n = 7, 24%). …