scholarly journals Ascorbic Acid Deficiency Prevalence and Associated Cognitive Impairment in Alcohol Detoxification Inpatients: A Pilot Study

Antioxidants ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1892
Author(s):  
Virgile Clergue-Duval ◽  
Julien Azuar ◽  
Julien Fonsart ◽  
Clément Delage ◽  
Dorian Rollet ◽  
...  

Malnutrition has been reported in alcohol use disorder patients as having a possible influence on cognitive function. The aim of this study was to analyse the prevalence of ascorbic acid (AA) deficiency in inpatients admitted for alcohol detoxification and the associated factors, including cognitive impairment in the early period of abstinence. A retrospective chart review was conducted. The AA level was categorised into three groups: deficiency (AAD) (<2 mg/L), insufficiency (AAI) (2–5 mg/L) and normal level. The cognitive impairment was screened using the Montreal Cognitive Assessment (MoCA). Ninety-six patients were included (74 men; mean age 49.1 years (±11.5)). Twenty-seven AAD (28.1%) and twenty-two AAI (22.9%) were observed. In multivariate analysis, risk factors for AAD versus normal AA level were men (OR 17.8, 95%CI (1.63–194)), compensated cirrhosis (OR 9.35, 95%CI (1.60–54.6)) and street homelessness (OR 5.76, 95%CI (1.24–26.8) versus personal housing). The MoCA score was available for 53 patients (mean MoCA score: 25.7 (±3.3)). In multivariate analysis, the natural logarithm of AA (β = 1.18, p = 0.037) and sedative use disorder (β = −2.77, p = 0.046) were associated with the MoCA score. AAD and AAI are frequent in inpatients admitted for alcohol detoxification. A low level of AA was associated with cognitive impairment in the early period of abstinence.

1971 ◽  
Vol 35 (12) ◽  
pp. 1559-1565 ◽  
Author(s):  
TAKAO FUJITANI ◽  
KOTA OKADO ◽  
KATSUJI SENDA ◽  
MUNEAKI SUGIMURA ◽  
MOTOAKI KISHIKAWA

1981 ◽  
Vol 5 (6) ◽  
pp. 531-532 ◽  
Author(s):  
R.E. Hodges ◽  
J.E. Canham ◽  
J.L. Smith

1997 ◽  
Vol 42 (10-11) ◽  
pp. 695-704 ◽  
Author(s):  
Motonari Ogawara ◽  
Kazuhiro Aoki ◽  
Takashi Okiji ◽  
Hideaki Suda

2016 ◽  
Vol 2016 ◽  
pp. 1-6 ◽  
Author(s):  
Emily J. Henderson ◽  
Howard Chu ◽  
Daisy M. Gaunt ◽  
Alan L. Whone ◽  
Yoav Ben-Shlomo ◽  
...  

Background.MoCA is widely used in Parkinson’s disease (PD) to assess cognition. The Test Your Memory (TYM) test is a cognitive screening tool that is self-administered.Objectives.We sought to determine (a) the optimal value of TYM to discriminate between PD patients with and without cognitive deficits on MoCA testing, (b) equivalent MoCA and TYM scores, and (c) interrater reliability in TYM testing.Methods.We assessed the discriminant ability of TYM and the equivalence between TYM and MoCA scores and measured the interrater reliability between three raters.Results.Of the 135 subjects that completed both tests, 55% had cognitive impairment according to MoCA. A MoCA score of 25 was equivalent to a TYM score of 43-44. The area under the receiver operator characteristic (ROC) curve for TYM to differentiate between PD-normal and PD-cognitive impairment was 0.82 (95% CI 0.75 to 0.89). The optimal cutoff to distinguish PD-cognitive impairment from PD-normal was ≤45 (sensitivity 90.5%, specificity 59%) thereby correctly classifying 76.3% of patients with PD-cognitive impairment. Interrater agreement was high (0.97) and TYM was completed in under 7 minutes (interquartile range 5.33 to 8.52 minutes).Conclusions.The TYM test is a useful and less resource intensive screening test for cognitive deficits in PD.


Author(s):  
Y. V. Flomin ◽  
V. G. Gurianov ◽  
L. I. Sokolova

Objective — to analyze the results of screening for post‑stroke cognitive impairment (PCI) in patients with cerebral stroke (CS) admitted to the Stroke Center (SC) in different disease phases, and to determine independent predictors of the PCI persistence at discharge. Methods and subjects. 399 patients were enrolled, including 242 (60.7 %) men and 157 (39.3 %) women with the median age was 66.2 years (IQR 58.5 — 76.3). IS was diagnosed in 331 (82.9 %), and ICH in 68 (17.1 %) patients. Among patients with IS, 137 (41.4 %) had an atherothrombotic subtype, 152 (46.0 %) had a cardioembolic subtype, 21 (6.3 %) had a lacunar subtype, another 21 (6.3 %) had another or unknown cause of stroke. Patients were screened for PCI using the Mini‑Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) on admission and at discharge. Participants with MMSE score of 0 — 24 or a MoCA score of 0 — 25 were considered having PCI. Upon admission, all patients were assessed using the National Institutes of Health Stroke Scale (NIHSS), Bartel Index, and Modified Rankine Scale (mRS). The method of constructing and analyzing logistic regression models was used to determine independent predictors of the preservation of PCI at discharge. The analysis was carried out using the MedCalc v. 19.1. Results. The baseline NIHSS score ranged from 0 to 39 (median 11, IQR 6 — 18). The majority (64.2 %) of the subjects were hospitalized within the first 30 days from the CS onset. The MMSE score on admission ranged from 0 to 30 (median 20, IQR 2 — 27), and in 179 (44.9 %) of the patients the initial score was 0 to 17 (severe PCI), whereas in 61 (15 3 %) of the participants it was 18 to 24 (moderately severe PCI) and only 159 (39.8 %) persons scored 25 to 30 (no PCI). The baseline MoCA score ranged from 0 to 30 (median 15, IQR 1 — 24), and 356 (89.2 %) patients were shown to have PCI (score 0 to 25). According to screening with MMSE at discharge, 125 (31.4 %) patients had severe PCI, and 67 (16.8 %) had moderately severe PCI. The MoCA assessment before discharge indicated PCI in 324 (81.2 %) patients. According to both MMSE and MoCA, the rate of PCI on admission was significantly higher than at discharge (p < 0.001). Among the 240 patients who had PCI according to MMSE score, 239 (99.6 %) had PCI according to the MoCA score. However, among 159 patients who screened negative for PCI with MMSE at admission, 117 (73.6 %) screened positive with MoCA. Screening results using both MMSE and MoCA were not significantly associated with affected hemisphere. ICH was associated with lower (p < 0.0001) MMSE and MoCA scores compared with IS. Predictors of PCI according to MMSE score at discharge were a longer time interval from CS onset to SC admission, and a lower baseline MMSE score. However, with MoCA, the predictors were AT subtype IS, lesions in the distribution of the right or both middle cerebral arteries, older patient age, and a lower baseline MoCA score. Conclusions. In patients with MI, a high rate of PCI was documented on admission, but was significantly lower at discharge. In patients with established PCI, according to MMSE score, the use of MoCA for screening seems useless, however, screening with MoCA identified PCI in 3/4 in patients with a normal MMSE score. The independent predictors of scores on these two scales, indicating PCI, were significantly different, so they should not be considered interchangeable.


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