Adults Aging With Spinal Cord Injury: Prevalence and Associated Risk Factors for Diagnosis of Diabetes Mellitus

With the increased life expectancy, people aging with spinal cord injury (SCI) are more likely to experience chronic conditions, including diabetes mellitus (DM). The results of previous literature related to the prevalence of DM are mixed and risk factors associated with diagnosis of DM after SCI are not well defined. This study aims to investigate the prevalence of DM and explore associated risk factors for diagnosis of DM among adults aging with long-standing spinal cord injury in the United States. This is a secondary data analysis using the National Spinal Cord Injury Model Systems Database. Participants included 516 people age 45 and older who have been living with SCI for more than 10 years. The prevalence of DM in this sample was 13.2%. Multivariate logistic regression, controlling for confounding variables, was conducted to identify risk factors associated with DM diagnosis in this sample. The multivariate logistic regression model found that the participants who responded with less severe SCI measured by the ASIA impairment scale were less likely to be diagnosed with DM (OR=0.332, p=.017). Also, DM was found to be significantly associated with BMI (OR=1.043, p=.010) and age (OR=1.038, p= .010) respectively. Duration of disability was not significantly associated with DM. Future research is needed to validate these findings and identify other common risk factors for DM such as diet/nutrition. Further, exploration of the effect size of risk factors is also warranted. Such findings will inform interventions to aid prevention and early detection of DM.

Helping persons with multiple chronic conditions overcome barriers to self-management

ABSTRACT

The prevalence of multiple chronic conditions is growing dramatically, which complicates day-to-day self-management for patients. This article describes the features of multiple chronic conditions, an updated chronic care model, barriers to self-management, and strategies NPs can use to reduce or eliminate barriers to self-management in adults with multiple chronic conditions.

Examination of Advanced Function and Its Correlates in a Cohort of Community-Dwelling Older Adults

Function in older adults includes multiple domains, from basic to “advanced,” but we remain limited in detection of advanced function (engagement in social, leisure, and productive activities). The objective is to describe advanced function and examine relationships with basic function and health outcomes in community-dwelling older adults aged 55-65 years. This is an analysis of existing data from a large, ongoing cohort study, The Wisconsin Registry for Alzheimer’s Prevention (WRAP R01 AG027161). We used a 1:1 prospective case–control design to examine whether older adults with lower advanced function (lower functioning group) at wave 3 showed lower IADLs and poorer health outcomes in wave 4, compared to those with higher advanced function (higher functioning group). The lower functioning group had a mean advanced function score of 74.4 (SD = 10.1), compared to 98.7 (SD = 11.1) in the higher functioning group. The mean IADL scores were similar in the two groups (p = 0.123). The lower functioning group had significantly lower self-rated health (mean = 3.52; SD = .79) than higher functioning group (3.70; 0.79) and a significantly lower proportion of individuals with unimpaired, stable cognition (77%) than the higher functioning group (85%). The lower functioning group had higher rates of comorbidities (4.25 vs. 3.96), mortality (4 vs. 1), and depressive symptoms (CES-D: 7.17 vs. 6.09), although results were not significant at α=0.05. This study provides a foundation for examining advanced function, which may be an early indicator of poor health outcomes in older adults.

Getting Back to Normal: A Grounded Theory Study of Function in Post-hospitalized Older Adults

BACKGROUND AND OBJECTIVES

The literature on transitions after hospitalization is based on a medicalized model focusing primarily on medication management and readmission, but little is known about the process older adults engage in to maintain their normal life posthealth event or how older adults define what the transition is. This grounded theory study aimed to describe how older adults understand and define a transition process, what actions they take based on their understanding, and what consequences they experience as they transition.

RESEARCH DESIGN AND METHODS

Adults aged 65 and older discharged from a large Midwestern teaching hospital (N = 14) were interviewed using in-depth one-on-one interviews. Data were analyzed using open, axial, and selective coding.

RESULTS

All participants described the process of transition as moving from a state of normal function to loss, and then working back to a normal state. A conceptual model was developed to illustrate the complexity of movement related to how older adults understand and manage the transition. All participants described starting out being normal until they experienced a major health event (acute or chronic illness). Losing normal involved experiencing a lower level of function both inside and outside the home. Working back to normal was accomplished by two different pathways: those "working to regain" focused on getting back to the level they were at prior to the major health event, whereas those "working to maintain" often involved redefining a new normal. The consequences of the two pathways were quite different, with those working to maintain describing several negative consequences.

DISCUSSION AND IMPLICATIONS

This study provides a detailed understanding of how older adults transition and the complexity of that transition. Findings provide a foundation for broadening our understanding of function beyond typical activities of daily living and reveal a more complex transition process that can span months to years.

WORKING BACK TO NORMAL FUNCTION FOLLOWING HOSPITALIZATION: A GROUNDED THEORY STUDY

Transitions older adults experience post hospital discharge have primarily focused on the process of moving care from one setting to another (e.g. hospital to home). Older adults often experience a significant transition in terms of losing functional status after a hospital stay. Little is known about how older adults regain their functional ability, the type of work they engage in to recover, and conditions that influence their ability to work after a hospital stay. The objective of this Grounded Theory study was to understand strategies older adults use post discharge as they work to regain their functional status and what conditions facilitate or limit their ability to work toward returning to normal. A qualitative study was conducted. Adults aged 65 and older discharged from a large Midwestern teaching hospital (N = 14) were interviewed using in-depth one-on-one interviews. Data were analyzed using open, axial, and selective coding. Participants described key strategies they employed to regain their normal function following hospitalization and illness: doing exercises, expanding physical space, resuming prior activities and daily cares, and tracking improvement with benchmarks. Several conditions such as, presence of informal (family, friends) and formal (healthcare providers) support, perceived threats (relocation), and having poor physical or physiologic function, acted as barriers and facilitators to participants ability to work back to normal function. This study provides empirical data on work older adults engage in to transition back to normal function during the post discharge period. It presents opportunities for better supporting their work of regaining function.

Strategies older adults use in their work to get back to normal following hospitalization

Loss of function is a significant concern among hospitalized older adults, and prior research suggests they engage in dedicated work to regain "normal" function following hospitalization. This paper aims to describe the strategies older adults use to return to normal function and the conditions that influence their ability to do so. Recently discharged adults aged 65 and older (N = 14) completed in-depth one-on-one interviews. Data were analyzed using open, axial, and selective coding. Participants described strategies they used to regain their normal function following hospitalization: doing exercises, expanding physical space, resuming activities and daily cares, and tracking improvement with benchmarks. Several conditions, such as presence of informal and formal support, perceived threats, and poor physical or physiologic function, acted as barriers and facilitators to participants' ability to work back to normal function. Findings increase our understanding of patients' work to regain normal function and have important implications for practice.

Predicting postoperative delirium severity in older adults: The role of surgical risk and executive function

OBJECTIVES

Delirium is an important postoperative complication, yet predictive risk factors for postoperative delirium severity remain elusive. We hypothesized that the NSQIP risk calculation for serious complications (NSQIP-SC) or risk of death (NSQIP-D), and cognitive tests of executive function (Trail Making Tests A and B [TMTA and TMTB]), would be predictive of postoperative delirium severity. Further, we demonstrate how advanced statistical techniques can be used to identify candidate predictors.

METHODS/DESIGN

Data from an ongoing perioperative prospective cohort study of 100 adults (65 y old or older) undergoing noncardiac surgery were analyzed. In addition to NSQIP-SC, NSQIP-D, TMTA, and TMTB, participant age, sex, American Society of Anesthesiologists (ASA) score, tobacco use, surgery type, depression, Framingham risk score, and preoperative blood pressure were collected. The Delirium Rating Scale-R-98 (DRS) measured delirium severity; the Confusion Assessment Method (CAM) identified delirium. LASSO and best subsets linear regression were employed to identify predictive risk factors.

RESULTS

Ninety-seven participants with a mean age of 71.68 ± 4.55, 55% male (31/97 CAM+, 32%), and a mean peak DRS of 21.5 ± 6.40 were analyzed. LASSO and best subsets regression identified NSQIP-SC and TMTB to predict postoperative delirium severity (P < 00.001, adjusted R² : 0.30). NSQIP-SC and TMTB were also selected as predictors for postoperative delirium incidence (AUROC 0.81, 95% CI, 0.72-0.90).

CONCLUSIONS

In this cohort, we identified NSQIP risk score for serious complications and a measure of executive function, TMT-B, to predict postoperative delirium severity using advanced modeling techniques. Future studies should investigate the utility of these variables in a formal delirium severity prediction model.

Systematic review of prediction models for delirium in the older adult inpatient

OBJECTIVE

To identify existing prognostic delirium prediction models and evaluate their validity and statistical methodology in the older adult (≥60 years) acute hospital population.

DESIGN

Systematic review.

DATA SOURCES AND METHODS

PubMed, CINAHL, PsychINFO, SocINFO, Cochrane, Web of Science and Embase were searched from 1 January 1990 to 31 December 2016. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses and CHARMS Statement guided protocol development.

INCLUSION CRITERIA

age >60 years, inpatient, developed/validated a prognostic delirium prediction model.

EXCLUSION CRITERIA

alcohol-related delirium, sample size ≤50. The primary performance measures were calibration and discrimination statistics. Two authors independently conducted search and extracted data. The synthesis of data was done by the first author. Disagreement was resolved by the mentoring author.

RESULTS

The initial search resulted in 7,502 studies. Following full-text review of 192 studies, 33 were excluded based on age criteria (<60 years) and 27 met the defined criteria. Twenty-three delirium prediction models were identified, 14 were externally validated and 3 were internally validated. The following populations were represented: 11 medical, 3 medical/surgical and 13 surgical. The assessment of delirium was often non-systematic, resulting in varied incidence. Fourteen models were externally validated with an area under the receiver operating curve range from 0.52 to 0.94. Limitations in design, data collection methods and model metric reporting statistics were identified.

CONCLUSIONS

Delirium prediction models for older adults show variable and typically inadequate predictive capabilities. Our review highlights the need for development of robust models to predict delirium in older inpatients. We provide recommendations for the development of such models.