| 1. |
|
|
| 2. |
|
|
| 3. |
|
|
| 4. |
- Gaetani, L., et al.
(författare)
-
Cerebrospinal fluid neurofilament light chain tracks cognitive impairment in multiple sclerosis
- 2019
-
Ingår i: Journal of Neurology. - : Springer Science and Business Media LLC. - 0340-5354 .- 1432-1459. ; 266:9, s. 2157-2163
-
Tidskriftsartikel (refereegranskat)abstract
- Background Cognitive impairment (CI) is a disabling symptom of multiple sclerosis (MS). Axonal damage disrupts neural circuits and may play a role in determining CI, but its detection and monitoring are not routinely performed. Cerebrospinal fluid (CSF) neurofilament light chain (NfL) is a promising marker of axonal damage in MS. Objective To retrospectively examine the relationship between CSF NfL and CI in MS patients. Methods CSF NfL concentration was measured in 28 consecutive newly diagnosed MS patients who underwent a neuropsychological evaluation with the Brief Repeatable Battery of Neuropsychological tests (BRBN). Results CSF NfL was higher in patients with overall CI (947.8 +/- 400.7 vs 518.4 +/- 424.7 pg/mL, p < 0.01), and with impairment in information processing speed (IPS) (820.8 +/- 413.6 vs 513.6 +/- 461.4 pg/mL, p < 0.05) and verbal fluency (1292 +/- 511 vs 582.8 +/- 395.4 pg/mL, p < 0.05), and it positively correlated with the number of impaired BRBN tests (r = 0.48, p = 0.01) and cognitive domains (r = 0.47, p = 0.01). Multivariate analyses taking into account potential confounders confirmed these findings. Conclusion CSF NfL is higher in MS patients with CI and impaired IPS and verbal fluency. Large myelinated axons injury, causing neural disconnection, may be an important determinant of CI in MS and can be reliably measured through CSF NfL.
|
|
| 5. |
|
|
| 6. |
- Gaetani, Lorenzo, et al.
(författare)
-
Cerebrospinal fluid neurofilament light chain predicts disease activity after the first demyelinating event suggestive of multiple sclerosis
- 2019
-
Ingår i: Multiple Sclerosis and Related Disorders. - : Elsevier BV. - 2211-0348 .- 2211-0356. ; 35, s. 228-232
-
Tidskriftsartikel (refereegranskat)abstract
- Background: The prediction of disease activity in patients with a first demyelinating event suggestive of multiple sclerosis (MS) is of high clinical relevance. Cerebrospinal fluid (CSF) neurofilament light chain (NfL) has shown to have prognostic value in MS patients. In this work, we measured CSF NfL in patients at the first demyelinating event in order to find a cut-off value able to discriminate patients who will have disease activity from those who will remain stable during the follow-up. Methods: We included CSF samples collected within 30 days after the onset of the first demyelinating event from 32 patients followed-up for 3.8 ± 2.5 years. CSF NfL was measured with a newly developed in-house enzyme linked immunosorbent assay (ELISA). Results: At the first demyelinating event, patients with subsequent disease activity had significantly higher baseline CSF NfL values compared to clinically and radiologically stable patients (median 812.5 pg/mL, range 205–2359 pg/mL vs 329.5 pg/mL, range 156–3492 pg/mL, p = 0.002). A CSF NfL cut-off value of 500 pg/mL significantly discriminated these two groups of patients with a 90% sensitivity and an 83.3% specificity. Conclusion: Our results confirm that CSF NfL is a prognostic marker in the very early phases of MS. The validation of a cut-off value of 500 pg/mL could provide clinicians with a dichotomous variable that can simplify the prognostic assessment of patients at the first demyelinating event.
|
|
| 7. |
- Grandieri, Andrea, et al.
(författare)
-
Relationship between People's Interest in Medication Adherence, Health Literacy, and Self-Care : An Infodemiological Analysis in the Pre- and Post-COVID-19 Era
- 2023
-
Ingår i: Journal of Personalized Medicine. - 2075-4426. ; 13:7
-
Tidskriftsartikel (refereegranskat)abstract
- The prevalence of non-communicable diseases has risen sharply in recent years, particularly among older individuals who require complex drug regimens. Patients are increasingly required to manage their health through medication adherence and self-care, but about 50% of patients struggle to adhere to prescribed treatments. This study explored the relationship between interest in medication adherence, health literacy, and self-care and how it changed during the COVID-19 pandemic. We used Google Trends to measure relative search volumes (RSVs) for these three topics from 2012 to 2022. We found that interest in self-care increased the most over time, followed by health literacy and medication adherence. Direct correlations emerged between RSVs for medication adherence and health literacy (r = 0.674, p < 0.0001), medication adherence and self-care (r = 0.466, p < 0.0001), and health literacy and self-care (r = 0.545, p < 0.0001). After the COVID-19 pandemic outbreak, interest in self-care significantly increased, and Latin countries showed a greater interest in self-care than other geographical areas. This study suggests that people are increasingly interested in managing their health, especially in the context of the recent pandemic, and that infodemiology may provide interesting information about the attitudes of the population toward chronic disease management.
|
|
| 8. |
- Liotta, G, et al.
(författare)
-
Exploratory Factor Analysis (EFA) of the Short Functional Geriatric Evaluation (SFGE) to Assess the Multidimensionality of Frailty in Community-Dwelling Older Adults
- 2023
-
Ingår i: International journal of environmental research and public health. - : MDPI AG. - 1660-4601. ; 20:5
-
Tidskriftsartikel (refereegranskat)abstract
- The Short Functional Geriatric Evaluation (SFGE) is a multidimensional and short questionnaire to assess biopsychosocial frailty in older adults. This paper aims to clarify the latent factors of SFGE. Data were collected from January 2016 to December 2020 from 8800 community-dwelling older adults participating in the “Long Live the Elderly!” program. Social operators administered the questionnaire through phone calls. Exploratory factor analysis (EFA) was carried out to identify the quality of the structure of the SFGE. Principal component analysis was also performed. According to the SFGE score, 37.7% of our sample comprised robust, 24.0% prefrail, 29.3% frail, and 9.0% very frail individuals. Using the EFA, we identified three main factors: psychophysical frailty, the need for social and economic support, and the lack of social relationships. The Kaiser–Meyer–Olkin measure of sampling adequacy was 0.792, and Bartlett’s test of sphericity had a statistically significant result (p-value < 0.001). The three constructs that emerged explain the multidimensionality of biopsychosocial frailty. The SFGE score, 40% of which is social questions, underlines the crucial relevance of the social domain in determining the risk of adverse health outcomes in community-dwelling older adults.
|
|
| 9. |
|
|
| 10. |
- Vlaeyen, Johan W. S., et al.
(författare)
-
From Boulder to Stockholm in 70 Years : Single Case Experimental Designs in Clinical Research
- 2020
-
Ingår i: The Psychological Record. - : Springer. - 0033-2933 .- 2163-3452. ; 70:4, s. 659-670
-
Tidskriftsartikel (refereegranskat)abstract
- With the objective of increasing the magnitude of treatment effects in behavioral health, there is steadily growing interest in tailoring assessments and interventions to better match individual needs. This aligns with the central idea that behavior can be adequately understood by considering the unique characteristics of the individual and context. Thus, data collected at an individual level provides critical evidence that can be used to inform health care decisions, improve treatment, or refine theories. Yet, the majority of research in behavioral health is based on group-level analyses. Recent developments in the field of single-case experimental design (SCED) has provided new opportunities to utilize individual data. The present article provides a state-of-the art overview regarding key aspects of SCED, including a historical background to why and how SCED emerged, declined, and recently reemerged as well as methodological aspects such as design issues, challenges related to reliability and validity of repeated observations, innovations in visual and statistical analyses of individual data, strategies to deal with missing values, methodology to examine effect size, and approaches to summarize data from a large number of SCEDs using multilevel models and meta-analyses of replication data. Finally, the article discusses key concerns and actions needed to move the field forward.
|
|
