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Bellofatto M, Gentile L, Bertini A, Tramacere I, Manganelli F, Fabrizi GM, Schenone A, Santoro L, Cavallaro T, Grandis M, Previtali SC, Scarlato M, Allegri I, Padua L, Pazzaglia C, Villani F, Cavalca E, Saveri P, Quattrone A, Valentino P, Tozza S, Russo M, Mazzeo A, Vita G, Piacentini S, Didato G, Pisciotta C, Pareyson D. Daytime sleepiness and sleep quality in Charcot-Marie-Tooth disease. J Neurol 2023; 270:5561-5568. [PMID: 37540277 PMCID: PMC10576706 DOI: 10.1007/s00415-023-11911-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 07/05/2023] [Accepted: 07/28/2023] [Indexed: 08/05/2023]
Abstract
BACKGROUND Sleep abnormalities have been reported in Charcot-Marie-Tooth disease (CMT), but data are scanty. We investigated their presence and correlation in a large CMT patients' series. METHODS Epworth Sleepiness Scale (ESS) and Pittsburgh Sleep Quality Index (PSQI) were administered to CMT patients of the Italian registry and controls. ESS score > 10 indicated abnormal daytime somnolence, PSQI score > 5 bad sleep quality. We analyzed correlation with disease severity and characteristics, Hospital Anxiety and Depression Scale (HADS), Modified Fatigue Impact Scale (MFIS), Body Mass Index, drug use. RESULTS ESS and PSQI questionnaires were filled by 257 and 253 CMT patients, respectively, and 58 controls. Median PSQI score was higher in CMT patients than controls (6 vs 4, p = 0.006), with no difference for ESS score. Abnormal somnolence and poor sleep quality occurred in 23% and 56% of patients; such patients had more frequently anxiety/depression, abnormal fatigue, and positive sensory symptoms than those with normal ESS/PSQI. Moreover, patients with PSQI score > 5 had more severe disease (median CMT Examination Score, CMTES, 8 vs 6, p = 0.006) and more frequent use of anxiolytic/antidepressant drugs (29% vs 7%, p < 0.001). CONCLUSIONS Bad sleep quality and daytime sleepiness are frequent in CMT and correlated with anxiety, depression and fatigue, confirming that different components affect sleep. Sleep disorders, such as sleep apnea and restless leg syndrome, not specifically investigated here, are other factors known to impact on sleep quality and somnolence. CMT patients' management must include sleep behavior assessment and evaluation of its correlated factors, including general distress and fatigue.
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Affiliation(s)
- Marta Bellofatto
- SC Malattie Neurologiche Rare, Dipartimento di Neuroscienze Cliniche, Fondazione IRCCS Istituto Neurologico Carlo Besta, Via Celoria 11, 20133, Milan, Italy
| | - Luca Gentile
- Unità di Neurologia e Malattie Neuromuscolari, Dipartimento di Medicina Clinica e Sperimentale, Università di Messina, 98124, Messina, Italy
| | - Alessandro Bertini
- SC Malattie Neurologiche Rare, Dipartimento di Neuroscienze Cliniche, Fondazione IRCCS Istituto Neurologico Carlo Besta, Via Celoria 11, 20133, Milan, Italy
| | - Irene Tramacere
- Dipartimento Gestionale di Ricerca e Sviluppo Clinico, Direzione Scientifica, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133, Milan, Italy
| | - Fiore Manganelli
- Dipartimento di Neuroscienze, Scienze Riproduttive ed Odontostomatologiche, Università Federico II di Napoli, 80131, Naples, Italy
| | - Gian Maria Fabrizi
- Dipartimento di Neuroscienze, Biomedicina e Movimento, Università di Verona, 37126, Verona, Italy
| | - Angelo Schenone
- Dipartimento di Neuroscienze, Riabilitazione, Oftalmologia, Genetica e Scienze Materno-Infantili, Università di Genova, 16132, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
| | - Lucio Santoro
- Dipartimento di Neuroscienze, Scienze Riproduttive ed Odontostomatologiche, Università Federico II di Napoli, 80131, Naples, Italy
| | - Tiziana Cavallaro
- Dipartimento di Neuroscienze, Biomedicina e Movimento, Università di Verona, 37126, Verona, Italy
| | - Marina Grandis
- Dipartimento di Neuroscienze, Riabilitazione, Oftalmologia, Genetica e Scienze Materno-Infantili, Università di Genova, 16132, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
| | - Stefano C Previtali
- INSPE and Division of Neuroscience, IRCCS Ospedale San Raffaele, 20132, Milan, Italy
| | - Marina Scarlato
- INSPE and Division of Neuroscience, IRCCS Ospedale San Raffaele, 20132, Milan, Italy
| | | | - Luca Padua
- Università Cattolica del Sacro Cuore, 00168, Rome, Italy
- Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168, Rome, Italy
| | - Costanza Pazzaglia
- Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168, Rome, Italy
| | - Flavio Villani
- Unità di U.O. Neurofisiopatologia, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
| | - Eleonora Cavalca
- SC Malattie Neurologiche Rare, Dipartimento di Neuroscienze Cliniche, Fondazione IRCCS Istituto Neurologico Carlo Besta, Via Celoria 11, 20133, Milan, Italy
| | - Paola Saveri
- SC Malattie Neurologiche Rare, Dipartimento di Neuroscienze Cliniche, Fondazione IRCCS Istituto Neurologico Carlo Besta, Via Celoria 11, 20133, Milan, Italy
| | - Aldo Quattrone
- Dipartimento di Scienze Mediche, Università Magna Grecia, 88100, Catanzaro, Italy
| | - Paola Valentino
- Dipartimento di Scienze Mediche, Università Magna Grecia, 88100, Catanzaro, Italy
| | - Stefano Tozza
- Dipartimento di Neuroscienze, Scienze Riproduttive ed Odontostomatologiche, Università Federico II di Napoli, 80131, Naples, Italy
| | - Massimo Russo
- Unità di Neurologia e Malattie Neuromuscolari, Dipartimento di Medicina Clinica e Sperimentale, Università di Messina, 98124, Messina, Italy
| | - Anna Mazzeo
- Unità di Neurologia e Malattie Neuromuscolari, Dipartimento di Medicina Clinica e Sperimentale, Università di Messina, 98124, Messina, Italy
| | - Giuseppe Vita
- Unità di Neurologia e Malattie Neuromuscolari, Dipartimento di Medicina Clinica e Sperimentale, Università di Messina, 98124, Messina, Italy
| | - Sylvie Piacentini
- Unità di Neuropsicologia, Dipartimento di Neuroscienze Cliniche, Fondazione IRCCS Istituto Neurologico Carlo Besta di Milano, 20133, Milan, Italy
| | - Giuseppe Didato
- Unità di Epilettologia Clinica e Sperimentale, Dipartimento di Neuroscienze Cliniche, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133, Milan, Italy
| | - Chiara Pisciotta
- SC Malattie Neurologiche Rare, Dipartimento di Neuroscienze Cliniche, Fondazione IRCCS Istituto Neurologico Carlo Besta, Via Celoria 11, 20133, Milan, Italy
| | - Davide Pareyson
- SC Malattie Neurologiche Rare, Dipartimento di Neuroscienze Cliniche, Fondazione IRCCS Istituto Neurologico Carlo Besta, Via Celoria 11, 20133, Milan, Italy.
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Scribante A, Pellegrini M, Pulicari F, Ghizzoni M, Modugno FP, Spadari F. Pain Assessment in Oral Medicine through Its Different Dimensions: A Comprehensive Review. Dent J (Basel) 2023; 11:246. [PMID: 37999011 PMCID: PMC10670171 DOI: 10.3390/dj11110246] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 10/14/2023] [Accepted: 10/20/2023] [Indexed: 11/25/2023] Open
Abstract
Orofacial pain is a complex experience made up of different features and involving various aspects of life. It has demonstrated a connection, especially when chronic, with conditions such as anxiety, depression, and sleep disorders, through paths that still have not been completely clarified. A deep understanding of orofacial pain and its impact on an individual's life is critical for planning accurate diagnostic and therapeutic approaches. This review seeks to provide a comprehensive overview of the components constituting the pain experience, its implications in an individual's life, the different tools for multidimensional pain assessment, and the specific applications for each tool. A comprehensive review was performed using the PubMed, Scopus, and Web of Science electronic databases. Ninety-five studies, including observational studies, clinical trials, case-control studies, and case reports, were included and analyzed in this review. Orofacial pain assessment exploits several methods, ranging from clinical evaluation to rating scales, questionnaires, and daily diaries. The choice of the correct instrument requires an evaluation of the type of pain experienced, of the patient's characteristics and abilities to complete particular tasks, and finally, of the assessment tool features.
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Affiliation(s)
- Andrea Scribante
- Section of Dentistry, Department of Clinical, Surgical, Diagnostic and Pediatric Sciences, University of Pavia, 27100 Pavia, Italy; (M.G.); (F.P.M.)
| | - Matteo Pellegrini
- Maxillo-Facial Surgery and Dental Unit, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy; (F.P.); (F.S.)
| | - Federica Pulicari
- Maxillo-Facial Surgery and Dental Unit, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy; (F.P.); (F.S.)
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Via della Commenda 10, 20122 Milan, Italy
| | - Martina Ghizzoni
- Section of Dentistry, Department of Clinical, Surgical, Diagnostic and Pediatric Sciences, University of Pavia, 27100 Pavia, Italy; (M.G.); (F.P.M.)
| | - Francesco Paolo Modugno
- Section of Dentistry, Department of Clinical, Surgical, Diagnostic and Pediatric Sciences, University of Pavia, 27100 Pavia, Italy; (M.G.); (F.P.M.)
| | - Francesco Spadari
- Maxillo-Facial Surgery and Dental Unit, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy; (F.P.); (F.S.)
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Via della Commenda 10, 20122 Milan, Italy
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Guo M, Shen B, Li J, Huang X, Hu J, Wei X, Wang S, Yuan R, He C, Li Y. Diffusion Abnormality in Temporal Lobe Epilepsy Patients With Sleep Disorders: A Diffusion Kurtosis Imaging Study. Front Psychiatry 2022; 13:885477. [PMID: 35693954 PMCID: PMC9177985 DOI: 10.3389/fpsyt.2022.885477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 04/13/2022] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Patients with temporal lobe epilepsy (TLE) frequently complain of poor sleep quality, which is a condition that clinicians are typically neglecting. In this study, Epworth Sleepiness Scale (ESS), Pittsburgh Sleep Quality Index (PSQI), and Athens Insomnia Scale (AIS) were used to assess the sleep status of patients with temporal lobe epilepsy (TLE). Simultaneously diffusion kurtosis imaging (DKI) was applied to examine the white matter microstructure abnormalities in patients with TLE and sleep disorders. METHODS TLE patients who have been diagnosed in the cardio-cerebrovascular ward of the Yanan University Affiliated Hospital from October 2020 to August 2021 were recruited. Finally, 51 patients and 30 healthy controls were enrolled in our study, with all subjects completing the sleep evaluation questionnaire and undergoing a DKI examination. Using independent sample t-test, analysis of variance (ANOVA), and Mann-Whitney U test to compare groups. RESULTS Thirty patients (58.82%) complained of long-term sleep difficulties. The overall differences among the evaluation of AIS, ESS, and PSQI are significant (P = 0.00, P = 0.00, P = 0.03). The scores of AIS, ESS in Left and Right-TLE (L/R-TLE) with sleep disorders, as well as PSQI in L-TLE, are statistically higher than the control group (P = 0.00, P = 0.00, P = 0.00, P = 0.00, P = 0.02). L-TLE with sleep disorders showed decreased MK on affected sides (P = 0.01). However, statistical differences in MD and FA have not been observed (P = 0.34, P = 0.06); R-TLE with sleep disorders showed significantly decreased MK and increased MD on affected sides (P = 0.00, P = 0.00), but FA's statistical difference has not been observed (P = 0.20). CONCLUSIONS TLE patients with sleep disorders have different DKI parameters than individuals who do not have sleep issues. During this process, the kurtosis parameter (MK) was more sensitive than the tensor parameters (MD, FA) in detecting the patient's aberrant white matter diffusion. DKI may be a better choice for in vivo investigation of anomalous craniocerebral water diffusion.
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Affiliation(s)
- Min Guo
- Department of Radiology, Yanan University Affiliated Hospital, Yanan, China
| | - Boxing Shen
- Department of Radiology, Yanan University Affiliated Hospital, Yanan, China
| | - Jinhong Li
- Department of Radiology, Yanan University Affiliated Hospital, Yanan, China
| | - Xiaoqi Huang
- Department of Radiology, Yanan University Affiliated Hospital, Yanan, China
| | - Jie Hu
- Department of Radiology, Yanan University Affiliated Hospital, Yanan, China
| | | | - Shaoyu Wang
- MR Scientific Marketing, Siemens Healthineers, Shanghai, China
| | - Ruohan Yuan
- Department of Radiology, Yanan University Affiliated Hospital, Yanan, China
| | - Chengcheng He
- Department of Radiology, Yanan University Affiliated Hospital, Yanan, China
| | - Yanjing Li
- Department of Radiology, Yanan University Affiliated Hospital, Yanan, China
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