Predicting Development of Alzheimer's Disease in Patients with Shunted Idiopathic Normal Pressure Hydrocephalus

被引:30
|
作者
Luikku, Antti J. [1 ,2 ,3 ]
Hall, Anette [1 ]
Nerg, Ossi [1 ,4 ]
Koivisto, Anne M. [1 ,4 ]
Hiltunen, Mikko [1 ,4 ,5 ]
Helisalmi, Seppo [1 ]
Herukka, Sanna-Kaisa [1 ,4 ]
Junkkari, Antti [2 ,3 ]
Sutela, Anna [6 ]
Kojoukhova, Maria [3 ,6 ]
Korhonen, Ville [3 ]
Mattila, Jussi [7 ]
Lotjoneng, Jyrki [7 ]
Rummukainen, Jaana [8 ,9 ]
Alafuzoff, Irina [10 ,11 ]
Jaaskelainen, Juha E. [2 ,3 ]
Remes, Anne M. [12 ,13 ]
Solomon, Alina [1 ,14 ]
Kivipelto, Miia [1 ,14 ,15 ]
Soininena, Hilkka [1 ,4 ]
Rauramaa, Tuomas [8 ,9 ]
Leinonen, Ville [2 ,3 ,13 ,16 ]
机构
[1] Univ Eastern Finland, Inst Clin Med Neurol, Kuopio, Finland
[2] Univ Eastern Finland, Inst Clin Med Neurosurg, Kuopio, Finland
[3] Kuopio Univ Hosp, NeuroCtr, Neurosurg, POB 100, FIN-70029 Kuopio, Finland
[4] Kuopio Univ Hosp, NeuroCtr, Neurol, Kuopio, Finland
[5] Univ Eastern Finland, Inst Biomed, Kuopio, Finland
[6] Kuopio Univ Hosp, Dept Radiol, Kuopio, Finland
[7] Combinostics Ltd, Tampere, Finland
[8] Kuopio Univ Hosp, Dept Pathol, Kuopio, Finland
[9] Univ Eastern Finland, Dept Pathol, Kuopio, Finland
[10] Uppsala Univ, Rudbeck Lab, Dept Immunol Genet & Pathol, Uppsala, Sweden
[11] Uppsala Univ Hosp, Dept Pathol & Cytol, Uppsala, Sweden
[12] Univ Oulu, Res Unit Clin Neurosci, Neurol, Oulu, Finland
[13] Oulu Univ Hosp, Med Res Ctr, Oulu, Finland
[14] Karolinska Inst, Div Clin Geriatr, NVS, Stockholm, Sweden
[15] Univ Eastern Finland, Inst Publ Hlth & Clin Nutr, Kuopio, Finland
[16] Univ Oulu, Res Unit Clin Neurosci, Neurosurg, Oulu, Finland
基金
芬兰科学院;
关键词
Alzheimer's disease; computer-assisted diagnosis; normal pressure hydrocephalus; CORTICAL BRAIN BIOPSY; MILD COGNITIVE IMPAIRMENT; MINI-MENTAL-STATE; INTRACRANIAL-PRESSURE; CSF BIOMARKERS; AMYLOID-BETA; DEMENTIA; DIAGNOSIS; RISK; FINGERPRINT;
D O I
10.3233/JAD-190334
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Background: Idiopathic normal pressure hydrocephalus (iNPH) patients often develop Alzheimer's disease (AD) related brain pathology. Disease State Index (DSI) is a method to combine data from various sources for differential diagnosis and progression of neurodegenerative disorders. Objective: To apply DSI to predict clinical AD in shunted iNPH-patients in a defined population. Methods: 335 shunted iNPH-patients (median 74 years) were followed until death (n = 185) or 6/2015 (n = 150). DSI model (including symptom profile, onset age of NPH symptoms, atrophy of medial temporal lobe in CT/MRI, cortical brain biopsy finding, and APOE genotype) was applied. Performance of DSI model was evaluated with receiver operating characteristic (ROC) curve analysis. Results: A total of 70 (21%) patients developed clinical AD during median follow-up of 5.3 years. DSI-model predicted clinical AD with moderate effectiveness (AUC= 0.75). Significant factors were cortical biopsy (0.69), clinical symptoms (0.66), and medial temporal lobe atrophy (0.66). Conclusion: We found increased occurrence of clinical AD in previously shunted iNPH patients as compared with general population. DSI supported the prediction of AD. Cortical biopsy during shunt insertion seems indicated for earlier diagnosis of comorbid AD.
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页码:1233 / 1243
页数:11
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