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Delirium Risk Score in Elderly Patients with Cervical Spinal Cord Injury and/or Cervical Fracture.

Koji TamaiHidetomi TeraiHiroaki NakamuraNoriaki YokogawaTakeshi SasagawaHiroaki NakashimaNaoki SegiSadayuki ItoToru FunayamaFumihiko EtoAkihiro YamajiKota WatanabeJunichi YamaneKazuki TakedaTakeo FuruyaAtsushi YundeHideaki NakajimaTomohiro YamadaTomohiko HasegawaYoshinori TerashimaRyosuke HirotaHidenori SuzukiYasuaki ImajoShota IkegamiMasashi UeharaHitoshi TonomuraMunehiro SakataKo HashimotoYoshito OnodaKenichi KawaguchiYohei HarutaNobuyuki SuzukiKenji KatoHiroshi UeiHirokatsu SawadaKazuo NakanishiKosuke MisakiAkiyoshi KurodaGen InoueKenichiro KakutaniYuji KakiuchiKatsuhito KiyasuHiroyuki TominagaHiroto TokumotoYoichi IizukaEiji TakasawaKoji AkedaNorihiko TakegamiHaruki FunaoYasushi OshimaTakashi KaitoDaisuke SakaiToshitaka YoshiiTetsuro OhbaBungo OtsukiShoji SekiMasashi MiyazakiMasayuki IshiharaSeiji OkadaShiro ImagamaSatoshi Kato
Published in: Journal of clinical medicine (2023)
The number of elderly patients with cervical trauma is increasing. Such patients are considered to be at high risk for delirium, which is an acute neuropsychological disorder that reduces the patient's capacity to interact with their environment due to impairments in cognition. This study aimed to establish a risk score that predicts delirium in elderly patients with cervical SCI and/or cervical fracture regardless of treatment type. This retrospective cohort study included 1512 patients aged ≥65 years with cervical SCI and/or cervical fracture. The risk factors for delirium according to treatment type (surgical or conservative) were calculated using multivariate logistic regression. A delirium risk score was established as the simple arithmetic sum of points assigned to variables that were significant in the multivariate analyses. Based on the statistical results, the delirium risk score was defined using six factors: old age (≥80 years), hypoalbuminemia, cervical fracture, major organ injury, dependence on pre-injury mobility, and comorbid diabetes. The score's area under the curve for the prediction of delirium was 0.66 ( p < 0.001). Although the current scoring system must be validated with an independent dataset, the system remains beneficial because it can be used after screening examinations upon hospitalization and before deciding the treatment strategy.
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