Evidence map›Paper›PMID 26246938›Full record

ArticleGeriatric orthopaedic surgery & rehabilitation2014

Predictors of Postoperative Cognitive Decline in Very Old Patients With Hip Fracture: A Retrospective Analysis.

Markus F Luger, Stephan Müller, Christian Kammerlander, Markus Gosch, Thomas J Luger

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Article in Geriatric orthopaedic surgery & rehabilitation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 5 of them syntheses that pooled it.

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14citing papers in PubMed, 5 pooled it
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  3. Association between postoperative delirium and mortality in elderly patients undergoing hip fractures surgery: a meta-analysis.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2020
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Markus F LugerDepartment of Anesthesiology and Critical Care Medicine, Innsbruck Medical University, Innsbruck, Austria.
Stephan MüllerDepartment of Anesthesiology and Critical Care Medicine, Innsbruck Medical University, Innsbruck, Austria.
Christian KammerlanderDepartment of Traumatology and Sports Medicine, Innsbruck Medical University, Innsbruck, Austria.
Markus GoschDepartment of Internal Medicine and Acute Geriatrics, Hochzirl State Hospital, Anna Dengel-Haus, Zirl, Austria.
Thomas J LugerDepartment of Anesthesiology and Critical Care Medicine, Innsbruck Medical University, Innsbruck, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo investigate incidence and predictors of the various postoperative cognitive declines in old patients with hip fracture.

methodsThis retrospective chart study evaluated 411 patients (age ≥80 years, follow-up 5 years). After exclusion of 82 patients (preexisting dementia or delirium), 70 patients showing either diagnosed postoperative delirium (POD; group 1; N = 18, 5.5%) or an unspecified cognitive dysfunction and behavior (group 2; N = 52, 15.8%) were analyzed and compared with those without any acute postoperative cerebral impairment (control group; N = 259, 78.7%). Medical history, anesthesiological, orthopedic, and rehabilitation data were assessed using the medical database of the hospital information system. Relative ratio was calculated with Fisher exact test: P value Bonferroni corrected ≤.003.

resultsAcute cognitive complications were observed in 70 (21.3%) patients. Our data in group 1 showed that patients with a medical history of stroke (relative risk [RR] = 16.2, P = .0001) or nicotine abuse (RR = 14.4, P = .001) and perioperative surgical bleeding (RR = 6.54, P = .002) are more likely to develop POD. Unspecified cognitive dysfunction and behavior (group 2) was significantly associated with a medical history of stroke (RR = 12.5, P = .0001) and postoperatively with depression (RR = 3.32, P = .001). In the follow-up, significantly more patients in group 1 (55.6%, RR = 21.8, P = .0001) and group 2 (13.5%, RR = 3.88, P = .001) developed dementia as compared to controls (1.9%). Mortality did not differ significantly between the groups (group 1: RR = 1.75, P = .5 and group 2: RR = 0.66, P = 1.0).

conclusionThese data show that various predictors can identify a greater likelihood of developing postoperative cognitive decline in very old patients with hip fracture. Not identifying or labeling of POD limits the opportunity for evaluation, treatment, and planning. Thus, routine cognitive assessments need to be performed in the scope of multidisciplinary orthogeriatric comanagement.

Indexed as

deliriumdementiageriatricship fracturepredictor

Identifiers

PMID26246938
PMCPMC4252157

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.