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Janse van Mantgem MR, Soors D'Ancona ML, Meyjes M, Van Den Berg LH, Steenhagen E, Kok A, Van Eijk RPA. A comparison between bioelectrical impedance analysis and air-displacement plethysmography in assessing fat-free mass in patients with motor neurone diseases: a cross-sectional study. Amyotroph Lateral Scler Frontotemporal Degener 2024; 25:326-335. [PMID: 38265049 DOI: 10.1080/21678421.2023.2300963] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 12/20/2023] [Indexed: 01/25/2024]
Abstract
AIM To determine the validity of bioelectrical impedance analysis (BIA) in quantifying fat-free mass (FFM) compared to air-displacement plethysmography (ADP) in patients with a motor neurone disease (MND). METHODS FFM of 140 patients diagnosed with MND was determined by ADP using the BodPod (i.e. the gold standard), and by BIA using the whole-body Bodystat. FFM values were translated to predicted resting energy expenditure (REE); the actual REE was measured using indirect calorimetry, resulting in a metabolic index. Validity of the BIA compared to the ADP was assessed using Bland-Altman analysis and Pearson's r. To assess the clinical relevance of differences, we evaluated changes in metabolic index and in individualized protein demand. RESULTS Despite the high correlation between ADP and BIA (r = 0.93), averaged across patients, the assessed mean fat-free mass was 51.7 kg (± 0.9) using ADP and 54.2 kg (± 1.0) using BIA. Hence, BIA overestimated fat-free mass by 2.5 kg (95% CI 1.8-3.2, p < 0.001). Clinically, an increased metabolic index would be more often underdiagnosed in patients with MND using BIA (31.4% according to BIA versus 44.2% according to ADP, p = 0.048). A clinically relevant overestimation of ≥ 15 g in protein demand was observed for 4 (2.9%) patients using BIA. CONCLUSIONS BIA systematically overestimates FFM in patients with MND. Although the differences are limited with ADP, underscoring the utility of BIA for research, overestimation of fat-free mass may have consequences for clinical decision-making, especially when interest lies in determining the metabolic index.
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Affiliation(s)
- Mark R Janse van Mantgem
- Department of Neurology, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Maaike L Soors D'Ancona
- Department of Neurology, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht, The Netherlands
- Department of Dietetics, University Medical Centre Utrecht, Utrecht, The Netherlands, and
| | - Myrte Meyjes
- Department of Neurology, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Leonard H Van Den Berg
- Department of Dietetics, University Medical Centre Utrecht, Utrecht, The Netherlands, and
| | - Elles Steenhagen
- Department of Dietetics, University Medical Centre Utrecht, Utrecht, The Netherlands, and
| | - Annemieke Kok
- Department of Dietetics, University Medical Centre Utrecht, Utrecht, The Netherlands, and
| | - Ruben P A Van Eijk
- Department of Dietetics, University Medical Centre Utrecht, Utrecht, The Netherlands, and
- Biostatistics & Research Support, Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands
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Gentile F, Maranzano A, Verde F, Bettoni V, Colombo E, Doretti A, Olivero M, Scheveger F, Colombrita C, Bulgarelli I, Spinelli EG, Torresani E, Messina S, Maderna L, Agosta F, Morelli C, Filippi M, Silani V, Ticozzi N. The value of routine blood work-up in clinical stratification and prognosis of patients with amyotrophic lateral sclerosis. J Neurol 2024; 271:794-803. [PMID: 37801095 PMCID: PMC10827966 DOI: 10.1007/s00415-023-12015-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 09/18/2023] [Accepted: 09/19/2023] [Indexed: 10/07/2023]
Abstract
BACKGROUND There is an unmet need in amyotrophic lateral sclerosis (ALS) to provide specific biomarkers for the disease. Due to their easy availability, we aimed to investigate whether routine blood parameters provide useful clues for phenotypic classification and disease prognosis. METHODS We analyzed a large inpatient cohort of 836 ALS patients who underwent deep phenotyping with evaluation of the clinical and neurophysiological burden of upper (UMN) and lower (LMN) motor neuron signs. Disability and progression rate were measured through the revised ALS Functional Rating Scale (ALSFRS-R) and its changes during time. Cox regression analysis was performed to assess survival associations. RESULTS Creatinine significantly correlated with LMN damage (r = 0.38), active (r = 0.18) and chronic (r = 0.24) denervation and baseline ALSFRS-R (r = 0.33). Creatine kinase (CK), alanine (ALT) and aspartate (AST) transaminases correlated with active (r = 0.35, r = 0.27, r = 0.24) and chronic (r = 0.37, r = 0.20, r = 0.19) denervation, while albumin and C-reactive protein significantly correlated with LMN score (r = 0.20 and r = 0.17). Disease progression rate showed correlations with chloride (r = -0.19) and potassium levels (r = -0.16). After adjustment for known prognostic factors, total protein [HR 0.70 (95% CI 0.57-0.86)], creatinine [HR 0.86 (95% CI 0.81-0.92)], chloride [HR 0.95 (95% CI 0.92-0.99)], lactate dehydrogenase [HR 0.99 (95% CI 0.99-0.99)], and AST [HR 1.02 (95% CI 1.01-1.02)] were independently associated with survival. CONCLUSIONS Creatinine is a reliable biomarker for ALS, associated with clinical features, disability and survival. Markers of nutrition/inflammation may offer additional prognostic information and partially correlate with clinical features. AST and chloride could further assist in predicting progression rate and survival.
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Affiliation(s)
- Francesco Gentile
- Neurology Residency Program, Università degli Studi di Milano, Milan, Italy
| | - Alessio Maranzano
- Department of Neurology, IRCCS Istituto Auxologico Italiano, P. Le Brescia 20, 20149, Milan, Italy
| | - Federico Verde
- Department of Neurology, IRCCS Istituto Auxologico Italiano, P. Le Brescia 20, 20149, Milan, Italy
- Department of Pathophysiology and Transplantation, "Dino Ferrari" Center, Università degli Studi di Milano, Milan, Italy
| | - Veronica Bettoni
- Department of Brain and Behavioral Sciences, IRCCS Mondino Foundation, Università degli Studi di Pavia, Pavia, Italy
| | - Eleonora Colombo
- Department of Neurology, IRCCS Istituto Auxologico Italiano, P. Le Brescia 20, 20149, Milan, Italy
| | - Alberto Doretti
- Department of Neurology, IRCCS Istituto Auxologico Italiano, P. Le Brescia 20, 20149, Milan, Italy
| | - Marco Olivero
- Neurology Residency Program, Università degli Studi di Milano, Milan, Italy
| | | | - Claudia Colombrita
- Department of Laboratory Medicine, Laboratory of Clinical Chemistry and Microbiology, IRCCS Istituto Auxologico Italiano, Milan, Italy
| | - Ilaria Bulgarelli
- Department of Laboratory Medicine, Laboratory of Clinical Chemistry and Microbiology, IRCCS Istituto Auxologico Italiano, Milan, Italy
| | - Edoardo Gioele Spinelli
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Erminio Torresani
- Department of Laboratory Medicine, Laboratory of Clinical Chemistry and Microbiology, IRCCS Istituto Auxologico Italiano, Milan, Italy
| | - Stefano Messina
- Department of Neurology, IRCCS Istituto Auxologico Italiano, P. Le Brescia 20, 20149, Milan, Italy
| | - Luca Maderna
- Department of Neurology, IRCCS Istituto Auxologico Italiano, P. Le Brescia 20, 20149, Milan, Italy
| | - Federica Agosta
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Claudia Morelli
- Department of Neurology, IRCCS Istituto Auxologico Italiano, P. Le Brescia 20, 20149, Milan, Italy
| | - Massimo Filippi
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
- Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Vincenzo Silani
- Department of Neurology, IRCCS Istituto Auxologico Italiano, P. Le Brescia 20, 20149, Milan, Italy
- Department of Pathophysiology and Transplantation, "Dino Ferrari" Center, Università degli Studi di Milano, Milan, Italy
| | - Nicola Ticozzi
- Department of Neurology, IRCCS Istituto Auxologico Italiano, P. Le Brescia 20, 20149, Milan, Italy.
- Department of Pathophysiology and Transplantation, "Dino Ferrari" Center, Università degli Studi di Milano, Milan, Italy.
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Choi SJ, Yoon SH, Sung JJ, Lee JH. Association Between Fat Depletion and Prognosis of Amyotrophic Lateral Sclerosis: CT-Based Body Composition Analysis. Ann Neurol 2023; 94:1116-1125. [PMID: 37612833 DOI: 10.1002/ana.26775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 08/20/2023] [Accepted: 08/21/2023] [Indexed: 08/25/2023]
Abstract
OBJECTIVE The purpose of this study was to present the results of our investigation of the prognostic value of adipopenia and sarcopenia in patients with amyotrophic lateral sclerosis (ALS). METHODS Consecutive patients with ALS with abdominal computed tomography (CT) were retrospectively identified at a single tertiary hospital between January 2010 and July 2021. Deep learning-based volumetric CT body composition analysis software was used to obtain abdominal waist fat volume, fat attenuation, and skeletal muscle area at the L3 level, then normalized to the fat volume index (FVI) and skeletal muscle index (SMI). Adipopenia and sarcopenia were defined as the sex-specific lowest quartile and SMI reference values, respectively. The associations of CT-derived body composition parameters with clinical variables, such as body mass index (BMI) and creatinine, were evaluated by Pearson correlation analyses, and associations with survival were assessed using the multivariable Cox regression analysis. RESULTS Eighty subjects (40 men, 65.5 ± 9.4 years of age) were investigated (median interval between disease onset and CT examination = 25 months). The mean BMI at the CT examination was 20.3 ± 4.3 kg/m2 . The BMI showed a positive correlation with both FVI (R = 0.70, p < 0.001) and SMI (R = 0.63, p < 0.001), and the serum creatinine level was associated with SMI (R = 0.68, p < 0.001). After adjusting for sex, age, King's stage, BMI, creatinine, progression rate, and sarcopenia, adipopenia was associated with shorter survival (hazard ratio [HR] = 5.94, 95% confidence interval [CI] = 1.01, 35.0, p = 0.049). In a subgroup analysis for subjects with nutritional failure (stage 4a), the HR of adipopenia was 15.1 (95% CI = 2.45, 93.4, p = 0.003). INTERPRETATION Deep learning-based CT-derived adipopenia in patients with ALS is an independent poor prognostic factor for survival. ANN NEUROL 2023;94:1116-1125.
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Affiliation(s)
- Seok-Jin Choi
- Department of Neurology, Seoul National University Hospital, Seoul, Republic of Korea
- Center for Hospital Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Soon Ho Yoon
- Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea
| | - Jung-Joon Sung
- Department of Neurology, Seoul National University Hospital, Seoul, Republic of Korea
| | - Jong Hyuk Lee
- Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea
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Nagel G, Kurz D, Peter RS, Rosenbohm A, Koenig W, Dupuis L, Bäzner H, Börtlein A, Dempewolf S, Schabet M, Hecht M, Kohler A, Opherk C, Naegele A, Sommer N, Lindner A, Tumani H, Ludolph AC, Rothenbacher D. Cystatin C based estimation of chronic kidney disease and amyotrophic lateral sclerosis in the ALS registry Swabia: associated risk and prognostic value. Sci Rep 2023; 13:19594. [PMID: 37949878 PMCID: PMC10638424 DOI: 10.1038/s41598-023-46179-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 10/28/2023] [Indexed: 11/12/2023] Open
Abstract
Kidney function as part of metabolic changes could be associated with amyotrophic lateral-sclerosis (ALS). We investigated the associations between estimated chronic kidney disease (CKD), based on the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) cystatin C equation, and the risk at onset and prognostic value of CKD for ALS. Between October 2010 and June 2014, 362 ALS cases (59.4% men, mean age 65.7 years) and 681 controls (59.5% men, means age 66.3 years) were included in a population-based case-control study based on the ALS registry Swabia in Southern Germany. All ALS cases were followed-up (median 89.7 months), 317 died. Serum samples were measured for cystatin C to estimate the glomerular filtration rate (eGFR) according to the CKD-EPI equation. Information on covariates were assessed by an interview-based standardized questionnaire. Conditional logistic regression models were applied to calculate odds ratios (OR) for risk of ALS associated with eGFR/CKD stages. Time-to-death associated with renal parameters at baseline was assessed in ALS cases only. ALS cases were characterized by lower body mass index, slightly lower smoking prevalence, more intense occupational work and lower education than controls. Median serum cystatin-C based eGFR concentrations were lower in ALS cases than in controls (54.0 vs. 59.5 mL/min pro 1.73 m2). The prevalence of CKD stage ≥ 3 was slightly higher in ALS cases than in controls (14.1 vs. 11.0%). In the adjusted models, CKD stage 2 (OR 1.82, 95% CI 1.32, 2.52) and stage 3 (OR 2.34, 95% CI 1.38, 3.96) were associated with increased ALS risk. In this cohort of ALS cases, eGFR and CKD stage ≥ 3 (HR 0.94; 95% CI 0.64, 1.38) were not associated with prognosis. In this case-control study, higher CKD stages were associated with increased ALS risk, while in the prospective cohort of ALS cases, no indication of an association of CysC-based CKD on mortality was seen. In addition, our work strengthens the importance to evaluate renal function using a marker independent of muscle mass in ALS patients.
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Affiliation(s)
- Gabriele Nagel
- Institute of Epidemiology and Medical Biometry, Ulm University, Helmholtzstr. 22, 89081, Ulm, Germany.
| | - Deborah Kurz
- Institute of Epidemiology and Medical Biometry, Ulm University, Helmholtzstr. 22, 89081, Ulm, Germany
| | - Raphael S Peter
- Institute of Epidemiology and Medical Biometry, Ulm University, Helmholtzstr. 22, 89081, Ulm, Germany
| | | | - Wolfgang Koenig
- Institute of Epidemiology and Medical Biometry, Ulm University, Helmholtzstr. 22, 89081, Ulm, Germany
- Deutsches Herzzentrum München, Technische Universität München, Munich, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany
| | - Luc Dupuis
- Université de Strasbourg, Inserm, UMR-S1118, Centre de Recherches en Biomédecine de Strasbourg, Strasbourg, France
| | - Hansjörg Bäzner
- Department of Neurology, Klinikum Stuttgart, Stuttgart, Germany
| | - Axel Börtlein
- Department of Neurology, Klinikum Stuttgart, Stuttgart, Germany
| | - Silke Dempewolf
- Department of Neurology, RKH Klinikum Ludwigsburg, Ludwigsburg, Germany
| | - Martin Schabet
- Department of Neurology, RKH Klinikum Ludwigsburg, Ludwigsburg, Germany
| | - Martin Hecht
- Department of Neurology, Klinikum Kaufbeuren, Kliniken Ostallgäu Kaufbeuren, Kaufbeuren, Germany
| | - Andreas Kohler
- Department of Neurology, Klinikum am Gesundbrunnen Heilbronn, Heilbronn, Germany
| | - Christian Opherk
- Department of Neurology, Klinikum am Gesundbrunnen Heilbronn, Heilbronn, Germany
| | - Andrea Naegele
- Department of Neurology, Christophsbad Goeppingen, Goeppingen, Germany
| | - Norbert Sommer
- Department of Neurology, Christophsbad Goeppingen, Goeppingen, Germany
| | - Alfred Lindner
- Department of Neurology, Marienhospital Stuttgart, Stuttgart, Germany
| | | | - Albert C Ludolph
- Department of Neurology, Ulm University, Ulm, Germany
- Deutsches Zentrum Für Neurodegenerative Erkrankungen (DZNE), Ulm, Germany
| | - Dietrich Rothenbacher
- Institute of Epidemiology and Medical Biometry, Ulm University, Helmholtzstr. 22, 89081, Ulm, Germany
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Blasi L, Sabbatini D, Fortuna A, Querin G, Martinelli I, Vianello S, Bertolin C, Pareyson D, Pennuto M, Pegoraro E, Bello L, Sorarù G. The value of serum creatinine as biomarker of disease progression in spinal and bulbar muscular atrophy (SBMA). Sci Rep 2023; 13:17311. [PMID: 37828349 PMCID: PMC10570332 DOI: 10.1038/s41598-023-44419-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Accepted: 10/08/2023] [Indexed: 10/14/2023] Open
Abstract
Serum creatinine has been indicated as a potential marker of motor function in SBMA and results form previous longitudinal studies pointed to its decline over time. This is a longitudinal retrospective study investigating creatinine changes over a 36-month-period in 73 patients with SBMA. Severity and progression of the disease was assessed according to serum creatine kinase (CK) values, manual muscle testing (MMT), SBMA functional rating scale (SBMAFRS) score, 6-min-walk test (6MWT) value, and spirometry (forced vital capacity, fVC%) obtained at the baseline and at each of the annual follow-up visits. Baseline serum creatinine concentrations positively correlated with 6MWT, the MMT megascore score of both the upper (ULM) and lower (LLM) limbs and SBMAFRS. No correlation was found with CK or fVC% values. Similar correlation results were achieved at all the subsequent time points. Longitudinal assessments conducted by the generalized estimating equations (GEE) method returned significant changes for SBMAFRS (- 1.41 points per year, p < 0.001), ULM and LLM (- 0.69, p = 0.01; and - 1.07, p < 0.001, respectively), 6MWT (- 47 m, p < 0.001) but not for creatinine (- 0.82, p > 0.05). We also observed that creatinine levels at baseline did not correlate with changes in the other measures from baseline at each annual visit. Our data do not support a role for serum creatinine as sensitive biomarker of disease progression, and possibily prognosis, in SBMA.
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Affiliation(s)
- Lorenzo Blasi
- Department of Neurosciences, Neuromuscular Center, University of Padova, 35128, Padua, Italy
| | - Daniele Sabbatini
- Department of Neurosciences, Neuromuscular Center, University of Padova, 35128, Padua, Italy
| | - Andrea Fortuna
- Department of Neurosciences, Neuromuscular Center, University of Padova, 35128, Padua, Italy
| | - Giorgia Querin
- Department of Neurosciences, Neuromuscular Center, University of Padova, 35128, Padua, Italy
- Institut de Myologie, I-Motion Adult ClinicalTrials Platform, Hôpital Pitié-Salpêtrière, Paris, France
| | - Ilaria Martinelli
- Department of Neurosciences, Neuromuscular Center, University of Padova, 35128, Padua, Italy
- Neurology Unit, Department of Neurosciences, Azienda Ospedaliera Universitaria di Modena, Modena, Italy
| | - Sara Vianello
- Department of Neurosciences, Neuromuscular Center, University of Padova, 35128, Padua, Italy
| | - Cinzia Bertolin
- Department of Neurosciences, Neuromuscular Center, University of Padova, 35128, Padua, Italy
- Clinical Genetics Unit, Department of Women and Children's Health, University of Padova, IRP Città Della Speranza, Padua, Italy
| | - Davide Pareyson
- Department of Clinical Neurosciences, Unit of Rare Neurodegenerative and Neurometabolic Diseases, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Maria Pennuto
- Department of Biomedical Sciences, University of Padova, Padua, Italy
| | - Elena Pegoraro
- Department of Neurosciences, Neuromuscular Center, University of Padova, 35128, Padua, Italy
| | - Luca Bello
- Department of Neurosciences, Neuromuscular Center, University of Padova, 35128, Padua, Italy
| | - Gianni Sorarù
- Department of Neurosciences, Neuromuscular Center, University of Padova, 35128, Padua, Italy.
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Janse van Mantgem MR, van Rheenen W, Hackeng AV, van Es MA, Veldink JH, van den Berg LH, van Eijk RPA. Association Between Serum Lipids and Survival in Patients With Amyotrophic Lateral Sclerosis: A Meta-analysis and Population-Based Study. Neurology 2023; 100:e1062-e1071. [PMID: 36460467 PMCID: PMC9990853 DOI: 10.1212/wnl.0000000000201657] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Accepted: 10/20/2022] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND AND OBJECTIVE To explore the association between lipids, polygenic profile scores (PPS) for biomarkers of lipid metabolism, markers of disease severity, and survival in patients with amyotrophic lateral sclerosis (ALS). METHODS We meta-analyzed the current literature on the prognostic value of lipids in patients with ALS. Subsequently, we evaluated the relationship between lipid levels at diagnosis, clinical disease stage, and survival in all consecutive patients diagnosed in the Netherlands. We determined the hazard ratio (HR) of each lipid for overall survival, defined as death from any cause. A subset of patients was matched to a previous genome-wide association study; data were used to calculate PPS for biomarkers of lipid metabolism and to determine the association between observed lipid levels at diagnosis and survival. RESULTS Meta-analysis of 4 studies indicated that none of the biomarkers of the lipid metabolism were statistically significantly associated with overall survival; there was, however, considerable heterogeneity between study results. Using individual patient data (N = 1,324), we found that increased high-density lipoprotein (HDL) cholesterol was associated with poorer survival (HR of 1.33 (95% CI 1.14-1.55, p < 0.001)). The correlation between BMI and HDL cholesterol (Pearson r -0.26, 95% CI -0.32 to -0.20) was negative and between BMI and triglycerides (TG) positive (Pearson r 0.18, 95% CI 0.12-0.24). Serum concentrations of total cholesterol and LDL cholesterol were lower in more advanced clinical stages (both p < 0.001). PPS for biomarkers of lipid metabolism explained 1.2%-13.1% of their variance at diagnosis. None of the PPS was significantly associated with survival (all p > 0.50). DISCUSSION Lipids may contain valuable information about disease severity and prognosis, but their main value may be driven as a consequence of disease progression. Our results underscore that gaining further insight into lipid metabolism and longitudinal data on serum concentrations of the lipid profile could improve the monitoring of patients and potentially further disentangle ALS pathogenesis.
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Affiliation(s)
- Mark R Janse van Mantgem
- From the Department of Neurology (M.R.J.M., W.R., A.V.H., M.A.E., J.H.V., L.H.B., R.P.A.E.), UMC Utrecht Brain Center, and Biostatistics & Research Support (R.P.A.E.), Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, The Netherlands
| | - Wouter van Rheenen
- From the Department of Neurology (M.R.J.M., W.R., A.V.H., M.A.E., J.H.V., L.H.B., R.P.A.E.), UMC Utrecht Brain Center, and Biostatistics & Research Support (R.P.A.E.), Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, The Netherlands
| | - Anemone V Hackeng
- From the Department of Neurology (M.R.J.M., W.R., A.V.H., M.A.E., J.H.V., L.H.B., R.P.A.E.), UMC Utrecht Brain Center, and Biostatistics & Research Support (R.P.A.E.), Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, The Netherlands
| | - Michael A van Es
- From the Department of Neurology (M.R.J.M., W.R., A.V.H., M.A.E., J.H.V., L.H.B., R.P.A.E.), UMC Utrecht Brain Center, and Biostatistics & Research Support (R.P.A.E.), Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, The Netherlands
| | - Jan H Veldink
- From the Department of Neurology (M.R.J.M., W.R., A.V.H., M.A.E., J.H.V., L.H.B., R.P.A.E.), UMC Utrecht Brain Center, and Biostatistics & Research Support (R.P.A.E.), Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, The Netherlands
| | - Leonard H van den Berg
- From the Department of Neurology (M.R.J.M., W.R., A.V.H., M.A.E., J.H.V., L.H.B., R.P.A.E.), UMC Utrecht Brain Center, and Biostatistics & Research Support (R.P.A.E.), Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, The Netherlands.
| | - Ruben P A van Eijk
- From the Department of Neurology (M.R.J.M., W.R., A.V.H., M.A.E., J.H.V., L.H.B., R.P.A.E.), UMC Utrecht Brain Center, and Biostatistics & Research Support (R.P.A.E.), Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, The Netherlands
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7
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Chen X, Zhou L, Cui C, Sun J. Evolving markers in amyotrophic lateral sclerosis. Adv Clin Chem 2023. [DOI: 10.1016/bs.acc.2023.02.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/15/2023]
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8
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Helleman J, Johnson B, Holdom C, Hobson E, Murray D, Steyn FJ, Ngo ST, Henders A, Lokeshappa MB, Visser-Meily JMA, van den Berg LH, Hardiman O, Beelen A, McDermott C, van Eijk RPA. Patient perspectives on digital healthcare technology in care and clinical trials for motor neuron disease: an international survey. J Neurol 2022; 269:6003-6013. [PMID: 35849154 PMCID: PMC9294855 DOI: 10.1007/s00415-022-11273-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 07/04/2022] [Accepted: 07/05/2022] [Indexed: 11/30/2022]
Abstract
Introduction To capture the patient’s attitude toward remote monitoring of motor neuron disease (MND) in care and clinical trials, and their concerns and preferences regarding the use of digital technology. Methods We performed an international multi-centre survey study in three MND clinics in The Netherlands, the United Kingdom, and Australia. The survey was co-developed by investigators and patients with MND, and sent to patients by e-mail or postal-mail. The main topics included: patients’ attitude towards remote care, participating in decentralized clinical trials, and preferences for and concerns with digital technology use. Results In total, 332 patients with MND participated. A majority of patients indicated they would be happy to self-monitor their health from home (69%), be remotely monitored by a multidisciplinary care team (75%), and would be willing to participate in clinical trials from home (65%). Patients considered respiratory function and muscle strength most valuable for home-monitoring. The majority of patients considered the use of at least three devices/apps (75%) once a week (61%) to be acceptable for home-monitoring. Fifteen percent of patients indicated they would not wish to perform home-measurements; reporting concerns about the burden and distress of home-monitoring, privacy and data security. Conclusion Most patients with MND exhibited a positive attitude toward the use of digital technology in both care and clinical trial settings. A subgroup of patients reported concerns with home-monitoring, which should be addressed in order to improve widespread adoption of remote digital technology in clinical MND care. Supplementary Information The online version contains supplementary material available at 10.1007/s00415-022-11273-x.
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Affiliation(s)
- Jochem Helleman
- Department of Rehabilitation, Physical Therapy Science and Sports, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands.,Center of Excellence for Rehabilitation Medicine, UMC Utrecht Brain Center, University Medical Center Utrecht, and De Hoogstraat Rehabilitation, Utrecht, the Netherlands
| | - Barbara Johnson
- Department of Neuroscience, Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK
| | - Cory Holdom
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, Australia.,UQ Centre for Clinical Research, The University of Queensland, Brisbane, Australia
| | - Esther Hobson
- Department of Neuroscience, Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK
| | - Deirdre Murray
- Academic Unit of Neurology, Trinity College Dublin, Dublin, Ireland.,Physiotherapy Department, Beaumont Hospital, Dublin, Ireland
| | - Frederik J Steyn
- School of Biomedical Sciences, Faculty of Medicine, University of Queensland, Brisbane, Australia.,The Royal Brisbane and Women's Hospital, Herston, Australia.,Wesley Medical Research, The Wesley Hospital, Auchenflower, Australia.,Centre for Clinical Research, The University of Queensland, Brisbane, Australia
| | - Shyuan T Ngo
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, Australia.,The Royal Brisbane and Women's Hospital, Herston, Australia.,Centre for Clinical Research, The University of Queensland, Brisbane, Australia
| | - Anjali Henders
- Institute for Molecular Biosciences, The University of Queensland, Brisbane, Australia
| | - Madhura B Lokeshappa
- Institute for Molecular Biosciences, The University of Queensland, Brisbane, Australia
| | - Johanna M A Visser-Meily
- Department of Rehabilitation, Physical Therapy Science and Sports, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands.,Center of Excellence for Rehabilitation Medicine, UMC Utrecht Brain Center, University Medical Center Utrecht, and De Hoogstraat Rehabilitation, Utrecht, the Netherlands
| | - Leonard H van den Berg
- Department of Neurology, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, the Netherlands
| | - Orla Hardiman
- Department of Neurology, National Neuroscience Centre, Beaumont Hospital, Dublin, Ireland.,FutureNeuro SFI Research Centre, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Anita Beelen
- Department of Rehabilitation, Physical Therapy Science and Sports, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands.,Center of Excellence for Rehabilitation Medicine, UMC Utrecht Brain Center, University Medical Center Utrecht, and De Hoogstraat Rehabilitation, Utrecht, the Netherlands
| | - Chris McDermott
- Department of Neuroscience, Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK
| | - Ruben P A van Eijk
- Department of Neurology, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, the Netherlands. .,Biostatistics and Research Support, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands.
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9
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Metrics of progression and prognosis in untreated adults with thymidine kinase 2 deficiency: An observational study. Neuromuscul Disord 2022; 32:728-735. [PMID: 35907766 DOI: 10.1016/j.nmd.2022.07.399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 06/23/2022] [Accepted: 07/13/2022] [Indexed: 11/21/2022]
Abstract
This historical cohort study evaluated clinical characteristics of progression and prognosis in adults with thymidine kinase 2 deficiency (TK2d). Records were available for 17 untreated adults with TK2d (mean age of onset, 32 years), including longitudinal data from 6 patients (mean follow-up duration, 26.5 months). Pearson's correlation assessed associations between standard motor and respiratory assessments, clinical characteristics, and laboratory values. Longitudinal data were assessed by linear regression mixed models. Respiratory involvement progressed at an annual rate of 8.16% decrement in forced vital capacity (FVC). Most patients under noninvasive ventilation (NIV) remained ambulant (12/14, 86%), reduced FVC was not associated with concomitant decline in 6-minute walk test (6MWT), and 6MWT results were not correlated with FVC. Disease severity, assessed by age at NIV onset, correlated most strongly at diagnosis with: creatinine levels (r = 0.8036; P = 0.0009), followed by FVC (r = 0.7265; P = 0.0033), mtDNA levels in muscle (r = 0.7933; P = 0.0188), and age at disease onset (r = 0.7128; P = 0.0042). This population of adults with TK2d demonstrates rapid deterioration of respiratory muscles, which progresses independently of motor impairment. The results support FVC at diagnosis, mtDNA levels in muscle, and age at disease onset as prognostic indicators. Creatinine levels may also be potentially prognostic, as previously reported in other neuromuscular disorders.
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