Defining the cut-off point of clinically significant postoperative fatigue in three common fatigue scales

Nøstdahl, Torkjell; Bernklev, Tomm; Fredheim, Olav Magnus S.; Paddison, Johanna S.; Ræder, Johan

doi:10.1007/s11136-018-2068-0

Cited by 16 publications

(8 citation statements)

References 44 publications

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“…This scale is often divided into two components: one that measures physical fatigue (questions 1–7) and one that measures mental fatigue (questions 8–11). Using a prespecified total CFQ-11 cut-off greater than or equal to 16, we dichotomized participants into no fatigue vs. increased fatigue ( 24 , 25 ).…”

Section: Methodsmentioning

confidence: 99%

Brain microstructural changes and fatigue after COVID-19

et al. 2022

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BackgroundFatigue and cognitive complaints are the most frequent persistent symptoms in patients after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. This study aimed to assess fatigue and neuropsychological performance and investigate changes in the thickness and volume of gray matter (GM) and microstructural abnormalities in the white matter (WM) in a group of patients with mild-to-moderate coronavirus disease 2019 (COVID-19).MethodsWe studied 56 COVID-19 patients and 37 matched controls using magnetic resonance imaging (MRI). Cognition was assessed using Montreal Cognitive Assessment and Cambridge Neuropsychological Test Automated Battery, and fatigue was assessed using Chalder Fatigue Scale (CFQ-11). T1-weighted MRI was used to assess GM thickness and volume. Fiber-specific apparent fiber density (FD), free water index, and diffusion tensor imaging data were extracted using diffusion-weighted MRI (d-MRI). d-MRI data were correlated with clinical and cognitive measures using partial correlations and general linear modeling.ResultsCOVID-19 patients had mild-to-moderate acute illness (95% non-hospitalized). The average period between real-time quantitative reverse transcription polymerase chain reaction-based diagnosis and clinical/MRI assessments was 93.3 (±26.4) days. The COVID-19 group had higher total CFQ-11 scores than the control group (p < 0.001). There were no differences in neuropsychological performance between groups. The COVID-19 group had lower FD in the association, projection, and commissural tracts, but no change in GM. The corona radiata, corticospinal tract, corpus callosum, arcuate fasciculus, cingulate, fornix, inferior fronto-occipital fasciculus, inferior longitudinal fasciculus, superior longitudinal fasciculus, and uncinate fasciculus were involved. CFQ-11 scores, performance in reaction time, and visual memory tests correlated with microstructural changes in patients with COVID-19.ConclusionsQuantitative d-MRI detected changes in the WM microstructure of patients recovering from COVID-19. This study suggests a possible brain substrate underlying the symptoms caused by SARS-CoV-2 during medium- to long-term recovery.

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Section: Methodsmentioning

confidence: 99%

Brain microstructural changes and fatigue after COVID-19

et al. 2022

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“…Christensen Fatigue Scale (ChrFS) is a simple, convenient, and validated tool to evaluate POF [24] . It is categorized as follows: " t" (1-2 point), experiencing fatigue only due to violent exertion, with normal sleep demand; "slight fatigue" (3-4 point), feeling fatigue particular during household chores, gardening or walking stairs, with normal sleep demand; "moderate fatigue" (5-6 points), ability to manage daily chores with an increased sleep demand; "severe fatigue" (7-8 points), unable to handle daily chores or short walks, with a signi cantly increased sleep demand; "worst fatigue" (9-10 points), extreme fatigue, even when sitting, with a substantial increase in the need for sleep; a score greater than 2 is de ned as fatigue [25] ,.…”

Section: Data Collectionmentioning

confidence: 99%

Developing a nomogram for predicting patients’ 24h-fatigue after digestive endoscopy with anesthesia assistance: a cross-sectional study

Wu,

Fang,

Jia

et al. 2024

Preprint

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Background Postoperative fatigue (POF) widely exists in patients underwent digestive endoscopy under anesthesia, seriously affecting patients’ postoperative rehabilitation and quality of life, there is few predicted tools for POF. We aim to identify predictors of 24 hours-postoperative fatigue (24h-POF) in patients underwent digestive endoscopy with anesthesia assistance and develop a nomogram. Methods This cross-sectional study involved 1306 patients underwent digestive endoscopy in The Second Affiliated Hospital Zhejiang University School of Medicine from May to November in 2023. Christensen Fatigue Scale was used to evaluate POF. Multiple linear regression analysis was utilized to ascertain independent predictors, and a nomogram was developed based on these findings. The area under the curve (AUC), calibration curve and decision curve analysis (DCA) were employed to evaluate the predictive model’s performance. Results 528 patients (40.43%) reported experiencing 24h-POF. Five modifiable factors (preoperative anxiety, average dosage of propofol, change rates of heart rate, fatigue 30 min after endoscopy, intraoperative hypotension) and nine non-modifiable factors (age, gender, drinker, numbers of comorbidities, degree of education, marital, Buddhist, endoscopic treatment, intraoperative tracheal intubation) were independently associated with 24h-POF in patients undergoing digestive endoscopy. The model exhibited good discrimination with an AUC of 0.865 and 0.891 in training cohort and validation cohort, respectively. The calibration curves and DCA curves demonstrated excellent calibration and clinical practicability. Conclusion The nomogram can effectively predict 24h-POF of digestive endoscopic patients, providing valuable assistance for early intervention to expedite patient recovery.

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“…22,23 Using a prespecified CFQ-11 cut-off greater than or equal to 16, we dichotomized participants into no fatigue vs. increased fatigue. 24,25…”

Section: Clinical Assessmentmentioning

confidence: 99%

Brain microstructural changes and fatigue after COVID-19

Bispo

Brandão

Pereira

et al. 2022

Preprint

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Background Fatigue and cognitive complaints are the most frequent persistent symptoms in patients after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. This study aimed to assess fatigue and neuropsychological performance and investigate changes in the thickness and volume of gray matter (GM) and microstructural abnormalities in the white matter (WM) in a group of patients with mild-to-moderate coronavirus disease 2019 (COVID-19). Methods We studied 56 COVID-19 patients and 37 matched controls using magnetic resonance imaging (MRI). Cognition was assessed using Montreal Cognitive Assessment and Cambridge Neuropsychological Test Automated Battery, and fatigue was assessed using Chalder Fatigue Scale (CFQ-11). T1-weighted MRI was used to assess GM thickness and volume. Fiber-specific apparent ﬁber density (FD), free water index, and diffusion tensor imaging data were extracted using diffusion-weighted MRI (d-MRI). d-MRI data were correlated with clinical and cognitive measures using partial correlations and general linear modeling. Results COVID-19 patients had mild-to-moderate acute illness (95% non-hospitalized). The average period between real-time quantitative reverse transcription polymerase chain reaction-based diagnosis and clinical/MRI assessments was 93.3 (±26.4) days. The COVID-19 group had higher CFQ-11 scores than the control group (p < 0.001). There were no differences in neuropsychological performance between groups. The COVID-19 group had lower FD in the association, projection, and commissural tracts, but no change in GM. The corona radiata, corticospinal tract, corpus callosum, arcuate fasciculus, cingulate, fornix, inferior fronto-occipital fasciculus, inferior longitudinal fasciculus, superior longitudinal fasciculus, and uncinate fasciculus were involved. CFQ-11 scores correlated with microstructural changes in patients with COVID-19. Conclusions Quantitative d-MRI detected changes in the WM microstructure of patients recovering from COVID-19. This study suggests a possible brain substrate underlying the symptoms caused by SARS-CoV-2 during medium- to long-term recovery.

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Defining the cut-off point of clinically significant postoperative fatigue in three common fatigue scales

Cited by 16 publications

References 44 publications

Brain microstructural changes and fatigue after COVID-19

Brain microstructural changes and fatigue after COVID-19

Developing a nomogram for predicting patients’ 24h-fatigue after digestive endoscopy with anesthesia assistance: a cross-sectional study

Brain microstructural changes and fatigue after COVID-19

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