2019
DOI: 10.1097/htr.0000000000000470
|View full text |Cite
|
Sign up to set email alerts
|

Comorbid Conditions Among Adults 50 Years and Older With Traumatic Brain Injury: Examining Associations With Demographics, Healthcare Utilization, Institutionalization, and 1-Year Outcomes

Abstract: Objectives: To assess the relationship of acute complications, preexisting chronic diseases, and substance abuse with clinical and functional outcomes among adults 50 years and older with moderate-to-severe traumatic brain injury (TBI). Design: Prospective cohort study. Participants: Adults 50 years and older with moderate-to-severe TBI (n = 2134). Measures: Clus… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

1
24
0

Year Published

2021
2021
2025
2025

Publication Types

Select...
5
1

Relationship

1
5

Authors

Journals

citations
Cited by 26 publications
(25 citation statements)
references
References 45 publications
1
24
0
Order By: Relevance
“…Two important distinctions between our classification methods, however, warrant mention. First, our resulting clusters from K-modes clustering do not permit patients to belong to more than one cluster, whereas Treelet Transform clustering undertaken by Kumar and colleagues 27 does permit patients to have overlapping cluster membership. Second, the PTOS defines PECs as conditions present before admission to the hospital, and thereby does not code for hospitalacquired infections (nosocomial conditions); this is in contrast to the data analyzed by Kumar and colleagues, 15 which included hospital codes documenting health conditions present prior to hospital entry and those acquired during patients' hospital stays.…”
Section: Influence Of Sex On Pecsmentioning
confidence: 99%
See 3 more Smart Citations
“…Two important distinctions between our classification methods, however, warrant mention. First, our resulting clusters from K-modes clustering do not permit patients to belong to more than one cluster, whereas Treelet Transform clustering undertaken by Kumar and colleagues 27 does permit patients to have overlapping cluster membership. Second, the PTOS defines PECs as conditions present before admission to the hospital, and thereby does not code for hospitalacquired infections (nosocomial conditions); this is in contrast to the data analyzed by Kumar and colleagues, 15 which included hospital codes documenting health conditions present prior to hospital entry and those acquired during patients' hospital stays.…”
Section: Influence Of Sex On Pecsmentioning
confidence: 99%
“…25 Understanding the influence of the increased disease burden introduced by the development and progression of these PECs is critical across all severities of TBI. 15,16,27 In addition, the impact of PECs does not appear limited to the acute period following TBI. Patients with moderate-to-severe TBI (msTBI) with a greater total disease burden reported reduced levels of functioning and life satisfaction up to 10 years following injury.…”
Section: Introductionmentioning
confidence: 99%
See 2 more Smart Citations
“…From 2002 to 2016, among adults with TBI admitted to IRFs, the proportion who were over the age of 65 increased from 39.8% to 60.3% 14 . However, compared to younger adults, older adults have higher rates of comorbidities 6,16,17 and are disproportionately more likely to sustain TBI as a consequence of declining preinjury health and function 18 . As a result, providers may perceive older adults with TBI as less able to benefit from this intensive care 6 …”
mentioning
confidence: 99%