Abstract
Background
Amyotrophic lateral sclerosis (ALS) is a multifaceted neurodegenerative disorder with a poor prognosis. Weight loss and malnutrition emerge as significant clinical features during disease progression.
Objective
To explore how demographic and clinical characteristics relate to survival in ALS patients, emphasizing the role of weight loss percentage at the time of diagnosis.
Methods
We conducted a retrospective study that used the database of a multidisciplinary ALS care center in the city of Natal, Brazil.
Results
A total of 132 patients were included in the study. The mean age of the participants at symptom onset was of 56.9 years, and most of them were male (59.8%). Older age, bulbar onset, and faster disease progression were associated with weight loss ≥ 10% at diagnosis. Among 132 patients, 72% experienced death or tracheostomy, with a median survival of 34 months. Survival was notably reduced in patients aged ≥ 60 years, those with significant weight loss, rapid disease progression, or those submitted to gastrostomy. Weight loss and the rate of disease progression were the strongest predictors of reduced survival. Potential factors relating gastrostomy with reduced survival are discussed.
Conclusion
The present study highlights the critical impact of weight loss and disease progression on survival in ALS patients, emphasizing the importance of early nutritional and clinical interventions. These findings underscore the need for comprehensive, multidisciplinary care strategies to address key prognostic factors and improve outcomes in ALS patients.
Keywords: Amyotrophic Lateral Sclerosis, Weight Loss, Disease Progression, Nutritional Status, Survival Analysis
INTRODUCTION
Amyotrophic lateral sclerosis (ALS) is a multifaceted neurodegenerative disorder marked by the deterioration of upper and lower motor neurons. It generally begins in adulthood, approximately at 55 to 75 years of age. It follows a progressive course, with a median survival of ∼ 3 years after symptom onset, though life expectancy can range from months to more than 10 years. Respiratory failure predominantly accounts for mortality. The disorder exhibits clinical and genetic heterogeneity, resulting in a broad range of pathogenic mechanisms across the spectrum of the disease. 1
To date, the disease remains incurable, with a poor prognosis. Weight loss and malnutrition emerge as significant clinical features during disease progression, resulting from reduced food intake or energy deficit due to dysphagia and/or hypermetabolism. 2 Evidence suggests that weight loss at the time of ALS diagnosis is a significant prognostic factor. Therefore, preventing or minimizing weight loss after diagnosis could extend the patient's lifespan. 3 The present study aimed to explore how demographic and clinical characteristics relate to survival in ALS patients, emphasizing the role of weight loss percentage at the time of diagnosis.
METHODS
Study design and population
The current is a retrospective study that used the database of the ALS Multidisciplinary Care Center at Hospital Universitário Onofre Lopes (HUOL), in the city of Natal, state of Rio Grande do Norte (RN), Brazil, covering the period from January 2008 to March 2022. Additional data and cohort characteristics have been published previously. 4 The study was approved by the Ethics in Research Committee of HUOL (CEP HUOL/UFRN 3540209).
Data collection
Patients with ALS were referred to the center by neurologists or general practitioners. This center, an outpatient clinic within the Brazilian health network, is the only ALS treatment facility in RN. These patients were diagnosed following the revised El Escorial criteria. 5 Subsequently, each patient underwent regular follow-up appointments every 3 to 4 months, which included those with the nutrition team. The initial nutritional assessment was conducted at the time of diagnosis.
Data on sex, age at disease onset, disease progression rate according to the revised ALS functional rating scale (ALSFRS-R), 6 survival, usual weight, and current weight were extracted from the computerized database of the ALS Multidisciplinary Care Center. This database contains prospectively-collected clinical data from all ALS patients followed at the center.
Disease onset was recorded as the moment when the patient or family first noticed signs/symptoms of muscle weakness. Survival was defined as the time, in months, from the disease onset to death or tracheostomy, whichever occurred first, or until the censoring date (March 31, 2023). Progression rate was calculated as: (48 - ALSFRS-R score at the time of diagnosis)/duration from onset to diagnosis in months. The results were categorized into slow (< 0.5), intermediate (0.5–1.0), and fast (> 1.0) progression rates. 7 The percentage of weight loss was used to assess the weight change of the patients at the time of diagnosis (early weight loss). This variable was calculated as: (usual weight - current weight)/usual weight × 100. Subsequently, the patients were categorized into subgroups of percentage of weight loss ≥ 10% and < 10%.
Cases originating from locations outside of RN, those lacking usual or current weight recordings, those with incomplete documentation on disease onset or submission to gastrostomy, as well as patients with irregular follow-up were excluded from the analysis.
Statistical analysis
Associations involving the categorical variables were determined by the Chi-squared (χ 2 ) test. Quantitative averages were compared using the Mann–Whitney U test. Survival was calculated from symptom onset to death/tracheostomy or censoring date; it was analyzed using the Kaplan-Meier method and compared with the log-rank test. Multivariable analysis for survival was performed with the Cox proportional hazards model. Statistical analysis was performed using the IBM SPSS Statistics for Windows (IBM Corp.) software, version 28.0. A significance level of 5% was adopted for all analyses.
RESULTS
Demographics, clinical characteristics, and weight loss
A total of 132 patients were included in the study; however, some variables (progression rate and submission to gastrostomy) had missing data. Associations of demographic and clinical characteristics of the participants with the percentage of weight loss at the time of diagnosis are presented in Table 1 . The mean age of the participants at symptom onset was of 56.9 ± 12.1 years, with a higher proportion of male patients, accounting for 59.8% of the cases. Most participants presented the spine as the site of onset (62.1%), had been submitted to gastrostomy (55%) and non-invasive ventilation (72.7%), and presented intermediate or fast disease progression rates (76.8%). The median time from the onset of symptoms to gastrostomy placement was of 24 (interquartile range [IQR]: 17–38) months. The minority of them were tracheostomized (34.8%) and presented weight loss ≥ 10% (40.9%) at the time of diagnosis.
Table 1. Association of participants' demographic and clinical characteristics with the percentage of weight loss at the time of diagnosis.
| Characteristics | Total ( n = 132) |
Percentage of weight loss | p -value a | ||
|---|---|---|---|---|---|
| < 10% ( n = 78) |
≥ 10% ( n = 54) |
||||
| Sex: n (%) | Male | 79 (59.8) | 50 (64.1) | 29 (53.7) | 0.231 |
| Female | 53 (40.2) | 28 (35.9) | 25 (46.3) | ||
| Total | 132 (100) | 78 (100) | 54 (100) | ||
| Age at disease onset: n (%) | < 60 years | 77 (58.3) | 51 (65.4) | 26 (48.1) | 0.048 |
| ≥ 60 years | 55 (41.7) | 27 (34.6) | 28 (51.9) | ||
| Total | 132 (100) | 78 (100) | 54 (100) | ||
| Site of onset of amyotrophic lateral sclerosis: n (%) | Bulbar | 50 (37.9) | 21 (26.9) | 29 (53.7) | 0.002 |
| Spinal | 82 (62.1) | 57 (73.1) | 25 (46.3) | ||
| Total | 132 (100) | 78 (100) | 54 (100) | ||
| Submission to gastrostomy: n (%) | No | 58 (45) | 35 (45.5) | 23 (44.2) | 0.891 |
| Yes | 71 (55) | 42 (54.5) | 29 (55.8) | ||
| Total b | 129 (100) | 77 (100) | 52 (100) | ||
| Submission to non-invasive ventilation: n (%) | No | 36 (27.3) | 22 (28.2) | 14 (25.9) | 0.773 |
| Yes | 96 (72.7) | 56 (71.8) | 40 (74.1) | ||
| Total | 132 (100) | 78 (100) | 54 (100) | ||
| Tracheostomy: n (%) | No | 86 (65.2) | 50 (64.1) | 36 (66.7) | 0.761 |
| Yes | 46 (34.8) | 28 (35.9) | 18 (33.3) | ||
| Total | 132 (100) | 78 (100) | 54 (100) | ||
| Disease progression rate: n (%) | Slow | 30 (23.3) | 23 (30.3) | 7 (13.2) | 0.013 |
| Intermediate | 49 (38) | 29 (38.2) | 20 (37.7) | ||
| Fast | 50 (38.8) | 24 (31.6) | 26 (49.1) | ||
| Total b | 129 (100) | 76 (100) | 53 (100) | ||
Notes: a Chi-squared; test; values in bold indicate statistical significance ( p < 0.05). b Fewer than 132 participants due to missing data.
No significant association was found between the percentage of weight loss and sex, submission to gastrostomy, submission to non-invasive ventilation, and tracheostomy. However, those with weight loss ≥ 10% at the time of diagnosis were older (≥ 60 years) ( p = 0.048) and presented bulbar onset ( p = 0.002) and faster disease progression rate ( p = 0.013) ( Table 1 ).
Survival and prognostic factors
Associations of demographic and clinical characteristics of the participants with the outcome are presented in Table 2 . No significant association was found between the outcome and sex or site of ALS onset. However, a significantly higher proportion of participants who experienced the outcomes of death or tracheostomy (indicating shorter survival) were older at the disease onset (≥ 60 years) ( p = 0.012), had experienced weight loss ≥ 10% at the time of diagnosis ( p = 0.016), presented faster disease progression rate ( p < 0.01), and had been submitted to either gastrostomy ( p < 0.01) or non-invasive ventilation ( p = 0.010) ( Table 2 ).
Table 2. Association of participants' demographic and clinical characteristics with the outcome of interest.
| Variables | Outcome of interest: death or tracheostomy | Total | p -value a | ||
|---|---|---|---|---|---|
| Yes | No | ||||
| Sex: n (%) | Male | 56 (70.9) | 23 (29.1) | 79 (100.0) | 0.735 |
| Female | 39 (73.6) | 14 (26.4) | 53 (100.0) | ||
| Age at disease onset: n (%) | < 60 years | 49 (63.6) | 28 (36.4) | 77 (100.0) | 0.012 |
| ≥ 60 years | 46 (83.6) | 9 (16.4) | 55 (100.0) | ||
| Site of onset of amyotrophic lateral sclerosis: n (%) | Bulbar | 39 (78.0) | 11 (22.0) | 50 (100.0) | 0.228 |
| Spinal | 56 (68.3) | 26 (31.7) | 82 (100.0) | ||
| Weight loss at diagnosis: n (%) | < 10% | 50 (64.1) | 28 (35.9) | 78 (100.0) | 0.016 |
| ≥ 10% | 45 (83.3) | 9 (16.7) | 54 (100.0) | ||
| Disease progression rate: n (%) | Slow | 13 (43.3) | 17 (56.7) | 30 (100.0) | < 0.01 |
| Intermediate | 35 (71.4) | 14 (28.6) | 49 (100.0) | ||
| Fast | 44 (88.0) | 6 (12.0) | 50 (100.0) | ||
| Submission to gastrostomy: n (%) | Yes | 63 (88.7) | 8 (11.3) | 71 (100.0) | < 0.01 |
| No | 29 (50.0) | 29 (50.0) | 58 (100.0) | ||
| Submission to non-invasive ventilation: n (%) | Yes | 75 (78.1) | 21 (21.9) | 96 (100.0) | 0.010 |
| No | 20 (55.6) | 16 (44.4) | 36 (100.0) | ||
Notes: a Chi-squared; test; values in bold indicate statistical significance ( p < 0.05).
The survival analysis evaluated 132 cases of patients with ALS with a mean follow-up of 41.5 ± 28.4 months and a median of 32 (IQR: 22.0–57.8) months. Of the total of 132 patients, 72% presented the outcome of interest (death or tracheostomy). The participants presented an overall survival of 90.9% at 12 months, of 65.7% at 24 months, and of 44.1% at 36 months of follow-up. The median survival time was of 34 (95%CI: 30.9–37.1) months ( Figure 1A ).
Figure 1.

Kaplan-Meier cumulative survival ( A ), and survival curves by sex ( B ), age ( C ), site of onset ( D ), weight loss ( E ), disease progression rate ( F ), use of gastrostomy ( G ), and use of non-invasive ventilation ( H ) of patients with amyotrophic lateral sclerosis.
Survival was shorter for individuals with age ≥ 60 years ( Figure 1C ), weight loss ≥ 10% ( Figure 1E ), intermediate and fast disease progression rates ( Figure 1F ), and those submitted to gastrostomy ( Figure 1G ). No significant difference in survival was observed regarding sex, site of onset, and submission to non-invasive ventilation ( Figures 1B , 1D , and 1H ).
In the multivariable analysis, we observed that patients aged ≥ 60 years were 1.66 times more likely to reach the outcome of interest (95%CI: 1.07–2.58). Subjects with early weight loss ≥ 10% were 2.06 times more likely to achieve the outcome of interest (95%CI: 1.32–3.21). Patients with intermediate and fast progression rates were 4.17 (95%CI: 2.04–8.55) and 5.83 times (95%CI: 2.93–11.60) more likely to reach the outcome of interest respectively. Finally, individuals submitted to gastrostomy were 1.98 times more likely to present the outcome of interest (95%CI: 1.25–3.15) ( Table 3 ).
Table 3. Characteristics of the patients associated with the outcome of interest (death or tracheostomy) identified by multivariate analysis.
| Characteristics | HR G a | 95%CI | p b | HR A a | 95%CI | p b |
|---|---|---|---|---|---|---|
| Age at disease onset ≥ 60 years | 1.52 | 1.01–2.28 | 0.045 | 1.66 | 1.07–2.58 | 0.024 |
| Weight loss at diagnosis ≥ 10% | 2.42 | 1.59–3.69 | < 0.001 | 2.06 | 1.32–3.21 | 0.001 |
| Intermediate disease progression rate | 3.86 | 1.93–7.71 | < 0.001 | 4.17 | 2.04–8.55 | < 0.001 |
| Fast disease progression rate | 6.31 | 3.23–12.33 | < 0.001 | 5.83 | 2.93–11.60 | < 0.001 |
| Submission to gastrostomy | 2.24 | 1.42–3.53 | < 0.001 | 1.98 | 1.25–3.15 | 0.004 |
Abbreviations: HR G , gross hazard ratio; HR A , adjusted hazard ratio.
Notes: a HR G and HR A : hazard Ratios calculated using the Cox regression model. b Significance by the Wald Chi-square test; values in bold indicate statistical significance ( p < 0.05).
DISCUSSION
The present study investigated the associations involving demographic and clinical characteristics and survival in ALS patients, focusing on the percentage of weight loss at the time of diagnosis. We found that older age, bulbar onset, and faster disease progression were associated with weight loss ≥ 10% at diagnosis. Additionally, age at disease onset, weight loss at diagnosis, faster disease progression, and submission to gastrostomy or non-invasive ventilation were associated with the outcome of interest (death or tracheostomy). Out of 132 patients, 72.% experienced the outcome of interest, and the median survival time was of 34 months (2.8 years). Survival was shorter for individuals aged ≥ 60 years, those with weight loss ≥ 10%, intermediate to fast disease progression, and those submitted to gastrostomy. Among these factors, disease progression rate and weight loss at diagnosis were the strongest predictors of shorter survival.
Our results on the negative impact of weight loss ≥ 10% at the time of diagnosis, associated with factors such as older age, bulbar onset, and faster disease progression, are supported by other studies. 8 9 This association may be attributed to age-related vulnerability, 10 loss of appetite, 11 high prevalence of dysphagia, reduced food intake, 12 13 and hypermetabolism or energy deficits, 14 particularly in ALS patients with bulbar onset. These factors collectively worsen nutritional status and prognosis.
It is well established that the nutritional status of ALS patients significantly impacts their prognosis, underscoring the importance of nutritional care as a core component of multidisciplinary treatment. 15 For the anthropometric nutritional assessment of ALS patients, guidelines recommend simple measurements such as of the body mass index (BMI) and weight loss percentage to monitor nutritional status regularly. 16 17 Since BMI does not capture body composition or quantify weight loss, 9 18 the percentage of weight loss is more predictive of prognosis. Studies 3 9 19 indicate that weight loss ≥ 10% at onset or during disease progression is a significant prognostic factor for survival in ALS patients.
The current study demonstrated survival probabilities of 90.9% at 12 months, 65.7% at 24 months, and 44.1% at 36 months, with a median survival from onset of 34 months. Millul et al. 20 reported survival rates of 78% at 12 months, 56% at 24 months, and 32% at 48 months, as well as a median survival from onset of 39.2 months. Pupillo et al. 21 observed a 1-year survival of 76.2% and a median survival of 26 months. Other studies 22 23 have reported variations in median survival rates among ALS patients. These differences may be attributed to variations in study design, patient demographics, access to care, availability of multidisciplinary treatments, and advancements in palliative care. In the present study, survival was shorter for individuals aged ≥ 60 years, those with ≥ 10% of weight loss, and those with intermediate or fast disease progression. These findings are corroborated by those of other studies. 9 18 24 25
In the current study, we found an association between submission to gastrostomy and shorter survival. Research on this topic has yielded mixed results. Some studies 9 26 27 have linked gastrostomy to prolonged survival in ALS patients, while a recent Cochrane review 28 of 23 non-randomized studies noted a lack of well-designed randomized trials to investigate this issue. This review 28 highlighted the limited availability of high-quality evidence supporting tube feeding in ALS, despite endorsements from international experts and guidelines. This inconsistency may result from several factors, including the timing of the placement of the percutaneous endoscopic gastrostomy (PEG) tube, respiratory function status, severity of dysphagia, age, nutritional status, and the adequacy of energy and nutrient intake.
A retrospective study 29 aimed to investigate a comprehensive flow of 188 ALS patients before and after PEG tube placement. The authors 29 highlight the critical timing for PEG tube insertion in ALS patients. They calculated a recommended time point for gastrostomy (T-rec), which was defined as the earlier time point between a weight loss of more than 10% and advanced dysphagia indicated by the ALSFRS-R swallowing subscore ≤ 2. Their analysis revealed a T-rec of 22 months after symptom onset; however, there was an 8-month delay between the T-rec and the actual PEG placement, which was associated with a rapid decline in the ALSFRS-R score. 29 Another study 30 did not find a survival benefit from gastrostomy, likely due to the procedure being performed too late. Delays in PEG tube placement are often linked to disease progression and worsening symptoms, including dysphagia, bronchial aspiration, weight loss, and nutritional decline. These factors profoundly affect the prognosis and should be carefully evaluated alongside the timing of PEG placement. Another factor that may affect the progression of the disease is the cognitive status, which should be evaluated and considered when making decisions regarding the timing of invasive interventions.
Additionally, discussions about gastrostomy and ventilation options can be emotionally challenging for ALS patients, requiring sensitive and empathetic communication. Decisions on gastrostomy involve patient and family preferences, support systems, socioeconomic factors, and healthcare access. The healthcare team should explain the risks and benefits clearly, prioritizing patient autonomy and informed decision-making. 31 A multidisciplinary approach with regular symptom monitoring should guide discussions on the optimal timing for PEG insertion, as the timing of the procedure can significantly impact postprocedure survival and overall patient outcomes.
Respiratory function is a critical factor influencing the risk of ventilatory complications during PEG placement, potentially affecting patient prognosis. However, individual cases can be effectively managed by an experienced multidisciplinary team. Even ALS patients with severe ventilatory impairment can safely undergo PEG placement with nasal non-invasive ventilation (NIV) support. 26 32 A risk stratification tool combined with procedural adaptations for PEG placement has been proposed to enhance safety for higher-risk ALS patients. 33 Respiratory function can independently influence the survival time of ALS patients, especially in those with delayed PEG placement.
The progression of dysphagia closely mirrors the advancement of ALS, and it is associated with reduced food intake, dehydration, and compromised nutritional status. In the study by López-Gómez et al., 34 dysphagia was observed in 78% of the patients, with 38.8% receiving a PEG. Their findings suggest that early PEG placement not only reduces hospital admissions related to dysphagia complications but also offers significant benefits for patients who might otherwise delay the procedure. Despite the variety of tools and assessments available to evaluate dysphagia, there is still a need to identify the most effective method to guide decisions on PEG insertion in ALS patients, based on the extent of swallowing deterioration. 35 These considerations prompt us to reflect that the long-term benefits of PEG may be compromised by severe dysphagia, malnutrition, and the advanced stages of ALS.
Studies have shown that age, bulbar onset, and poor nutritional status are linked to decreased survival in ALS patients. Age-related vulnerability not only accelerates disease progression 10 but may also increase the risk of complications during or after PEG placement. 36 Improved nutritional status and minimal weight loss prior to PEG placement have been associated with better survival outcomes. In a prospective cohort study, the median survival following gastrostomy was of 12 months for ALS patients who experienced 10% or less of weight loss since diagnosis, while those who lost more than 10% of their body weight presented a median survival of 7.7 months. 37 This highlights that the patient's nutritional status at the time of PEG placement plays a significant role in determining survival outcomes following the procedure. Discussing PEG insertion before significant weight loss or severe dysphagia develops is crucial, and minimizing the delay between recommendation and insertion should be a priority. Efforts should focus on reducing delays, and compromised respiratory function should not prevent patients from undergoing the procedure. 29
The adequacy of energy and nutrient intake is the final, yet equally important, factor influencing survival time after PEG placement in ALS. The adequacy of energy and nutrient consumption following gastrostomy has a significant impact on the patient's nutritional status and, consequently, survival. Theoretically, the immediate benefits of PEG are adequate food intake and weight stabilization; 26 however, in practice, many factors can influence this adequacy, such as vomiting, regurgitation, constipation, diarrhea and gastric stasis, abdominal distention, and feeding tube obstruction. 38 Achieving adequate energy and nutrient intake through homemade feeding in home enteral nutrition can be challenging. While homemade enteral feeding has certain advantages, it often provides lower caloric density, insufficient levels of nutrients, and it is related to a higher number of complications compared with the industrialized formulas. 39 However, industrialized formulas, despite being nutritionally superior, are costly, particularly in resource-limited settings or developing countries. 39 Moreover, even when using industrialized formulas, failing to meet patients' nutritional requirements can result in energy and nutrient deficits, ultimately leading to weight loss and malnutrition.
While timely PEG placement is essential to address dysphagia and nutritional deficits in ALS, the procedure alone does not guarantee adequate energy and nutrient intake. During a 12-month follow-up, 40 a high-calorie diet in ALS patients with gastrostomy showed potential for improving nutritional status and extending survival. Effective nutritional support depends on an individualized dietary plan and its proper implementation following gastrostomy. Furthermore, the progression of ALS, which varies greatly among individuals, also significantly impacts prognosis. Therefore, survival outcomes cannot be attributed solely to the performance or timing of gastrostomy without considering the critical factors previously discussed.
Most participants in the present study, who are assisted at our center, are covered by Brazil's federal public health system and come from lower socioeconomic backgrounds. This is associated with limited access to food and nutritional supplements. Most patients' families are required to go to court to obtain industrialized enteral formulas for their dietary plan after PEG placement. Given these challenges, we believe many participants in the current study were unable to meet their energy and nutrient requirements after PEG placement, which may have influenced their survival time after the procedure, alongside other potential factors.
An important aspect to consider is the use of the El Escorial criteria for patient inclusion in the present study. If we had used the more recent Gold Coast criteria, with improved diagnostic sensitivity and predictive value, we might have enabled the inclusion of a broader spectrum of ALS cases, particularly those with bulbar-predominant presentations. Given that bulbar-onset ALS is associated with a more aggressive course and higher mortality, its increased representation under the Gold Coast criteria could influence survival estimates and the observed impact of weight loss. We chose to use the El Escorial criteria because the Gold Coast criteria, while designed to enhance early diagnosis in clinical settings, may carry a higher risk of overdiagnosis, potentially including cases of ALS-mimic syndromes. Moreover, the El Escorial criteria remain the standard in clinical research, ensuring greater diagnostic specificity within study cohorts. Future studies incorporating the Gold Coast criteria may offer further insights into the relationship involving weight loss, disease progression, and survival, while also assessing the potential impact of broader diagnostic inclusion.
In conclusion, the current study highlights the significant impact of weight loss and disease progression on survival in ALS patients, emphasizing the importance of early nutritional and clinical interventions. The findings underscore the critical need for comprehensive, multidisciplinary care strategies to address key prognostic factors and improve patient outcomes. However, the study has several limitations, including its retrospective design, incomplete data on progression rate and submission to gastrostomy, and reliance on data from a single reference center in Brazil. Additionally, information on the adequacy of energy and nutrient intake was not collected. Despite these limitations, epidemiological studies examining the relationship involving demographic and clinical characteristics and survival in ALS patients in Brazil remain scarce. The present study provides valuable insights into patient outcomes, particularly the role of weight loss percentage at diagnosis and its influence on survival following PEG placement. Future multicenter cohort studies with larger sample sizes are needed to deepen our understanding of these critical issues. Our findings reinforce the importance of timely, targeted interventions and multidisciplinary care to improve the prognosis and quality of life for ALS patients.
Funding Statement
Funding This research was conducted with the internal support of UFRN and HUOL. No external funding or grants were received for this study.
Conflict of Interest The authors have no conflict of interest to declare.
Authors' Contributions
Conceptualization: METDJ; Data curation: METDJ, GCS, LLL; Formal analysis: METDJ, LCD, LLL; Methodology: METDJ, SHLV, LLL; Supervision: GCS, LLL; Writing – original draft: LCD, LLL; Writing – review & editing: METDJ, LCD, GCS, SHLV, LLL.
Data Availability Statement
The datasets generated and/or analyzed during the current study are available from the corresponding author upon reasonable request.
Editor-in-Chief: Ayrton Roberto Massaro ( https://orcid.org/0000-0002-0487-5299 ).
Associate Editor: Wilson Marques Jr. ( https://orcid.org/0000-0002-4589-2749 ).
References
- 1.Van Eenennaam R M, Kruithof W J, Van Es M A, Kruitwagen-van Reenen E T, Westeneng H-J, Visser-Meily J MA et al. Discussing personalized prognosis in amyotrophic lateral sclerosis: development of a communication guide. BMC Neurol. 2020;20(01):446. doi: 10.1186/s12883-020-02004-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Nelson A T, Trotti D. Altered Bioenergetics and Metabolic Homeostasis in Amyotrophic Lateral Sclerosis. Neurotherapeutics. 2022;19(04):1102–1118. doi: 10.1007/s13311-022-01262-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Van Mantgem M RJ, Van Eijk R PA, Van der Burgh H K, Tan H HG, Westeneng H-J, Van Es MA et al. Prognostic value of weight loss in patients with amyotrophic lateral sclerosis: a population-based study. J Neurol Neurosurg Psychiatry. 2020;91(08):867–875. doi: 10.1136/jnnp-2020-322909. [DOI] [PubMed] [Google Scholar]
- 4.Oliveira RTGd, Santana G C, Gonçalves MdJ, Fregonezi G AdF, Vale S HdL, Leite-Lais L, Dourado Júnior M ET.A geographical study on amyotrophic lateral sclerosis in Rio Grande Do Norte, Brazil, from 2005 to 2018 Amyotroph Lateral Scler Frontotemporal Degener 202324(1-2):117–124. 10.1080/21678421.2022.2102429 [DOI] [PubMed] [Google Scholar]
- 5.World Federation of Neurology Research Group on Motor Neuron Diseases . Brooks B R, Miller R G, Swash M, Munsat T L. El Escorial revisited: revised criteria for the diagnosis of amyotrophic lateral sclerosis. Amyotroph Lateral Scler Other Motor Neuron Disord. 2000;1(05):293–299. doi: 10.1080/146608200300079536. [DOI] [PubMed] [Google Scholar]
- 6.BDNF ALS Study Group (Phase III) Cedarbaum J M, Stambler N, Malta E, Fuller C, Hilt D, Thurmond B, Nakanishi A.The ALSFRS-R: a revised ALS functional rating scale that incorporates assessments of respiratory function J Neurol Sci 1999169(1-2):13–21. 10.1016/S0022-510X(99)00210-5 [DOI] [PubMed] [Google Scholar]
- 7.Kimura F, Fujimura C, Ishida S, Nakajima H, Furutama D, Uehara H et al. Progression rate of ALSFRS-R at time of diagnosis predicts survival time in ALS. Neurology. 2006;66(02):265–267. doi: 10.1212/01.wnl.0000194316.91908.8a. [DOI] [PubMed] [Google Scholar]
- 8.Desport J C, Preux P M, Truong T C, Vallat J M, Sautereau D, Couratier P. Nutritional status is a prognostic factor for survival in ALS patients. Neurology. 1999;53(05):1059–1063. doi: 10.1212/WNL.53.5.1059. [DOI] [PubMed] [Google Scholar]
- 9.Limousin N, Blasco H, Corcia P, Gordon P H, De Toffol B, Andres C, Praline J.Malnutrition at the time of diagnosis is associated with a shorter disease duration in ALS J Neurol Sci 2010297(1-2):36–39. 10.1016/j.jns.2010.06.028 [DOI] [PubMed] [Google Scholar]
- 10.Pandya V A, Patani R. Decoding the relationship between ageing and amyotrophic lateral sclerosis: a cellular perspective. Brain. 2020;143(04):1057–1072. doi: 10.1093/brain/awz360. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Mezoian T, Belt E, Garry J, Hubbard J, Breen C T, Miller L et al. Loss of appetite in amyotrophic lateral sclerosis is associated with weight loss and decreased calorie consumption independent of dysphagia. Muscle Nerve. 2020;61(02):230–234. doi: 10.1002/mus.26749. [DOI] [PubMed] [Google Scholar]
- 12.Onesti E, Schettino I, Gori M C, Frasca V, Ceccanti M, Cambieri C et al. Dysphagia in amyotrophic lateral sclerosis: impact on patient behavior, diet adaptation, and riluzole management. Front Neurol. 2017;8:94. doi: 10.3389/fneur.2017.00094. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Silva H FLd, Brito A NA, Freitas E PSd, Dourado Jr M ET, Sena-Evangelista K CM, Lais L L. Dietary intake and zinc status in amyotrophic lateral sclerosis. Nutr Hosp. 2017;34(05):1361–1367. doi: 10.20960/nh.1004. [DOI] [PubMed] [Google Scholar]
- 14.Kurihara M, Bamba S, Yasuhara S, Itoh A, Nagao T, Nakanishi N et al. Factors Affecting Energy Metabolism and Prognosis in Patients with Amyotrophic Lateral Sclerosis. Ann Nutr Metab. 2021;77(04):236–243. doi: 10.1159/000518908. [DOI] [PubMed] [Google Scholar]
- 15.Kasarskis E J, Tandan R.Why is nutrition vital for advancing ALS care and clinical research? Amyotroph Lateral Scler Frontotemporal Degener 202324(5-6):359–361. 10.1080/21678421.2023.2170245 [DOI] [PubMed] [Google Scholar]
- 16.Burgos R, Bretón I, Cereda E, Desport J C, Dziewas R, Genton L et al. ESPEN guideline clinical nutrition in neurology. Clin Nutr. 2018;37(01):354–396. doi: 10.1016/j.clnu.2017.09.003. [DOI] [PubMed] [Google Scholar]
- 17.Boostani R, Olfati N, Shamshiri H, Salimi Z, Fatehi F, Hedjazi S A et al. Iranian clinical practice guideline for amyotrophic lateral sclerosis. Front Neurol. 2023;14:1.154579E6. doi: 10.3389/fneur.2023.1154579. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Piemonte and Valle d'Aosta Register for ALS (PARALS) . Moglia C, Calvo A, Grassano M, Canosa A, Manera U, D'Ovidio F et al. Early weight loss in amyotrophic lateral sclerosis: outcome relevance and clinical correlates in a population-based cohort. J Neurol Neurosurg Psychiatry. 2019;90(06):666–673. doi: 10.1136/jnnp-2018-319611. [DOI] [PubMed] [Google Scholar]
- 19.Moura M C, Novaes M RCG, Eduardo E J, Zago Y SSP, Freitas RdNB, Casulari L A. Prognostic Factors in Amyotrophic Lateral Sclerosis: A Population-Based Study. PLoS One. 2015;10(10):e0141500. doi: 10.1371/journal.pone.0141500. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Millul A, Beghi E, Logroscino G, Micheli A, Vitelli E, Zardi A. Survival of patients with amyotrophic lateral sclerosis in a population-based registry. Neuroepidemiology. 2005;25(03):114–119. doi: 10.1159/000086353. [DOI] [PubMed] [Google Scholar]
- 21.SLALOM Group . Pupillo E, Messina P, Logroscino G, Beghi E. Long-term survival in amyotrophic lateral sclerosis: a population-based study. Ann Neurol. 2014;75(02):287–297. doi: 10.1002/ana.24096. [DOI] [PubMed] [Google Scholar]
- 22.Scottish ALS/MND Register . Forbes R B, Colville S, Swingler R J. The epidemiology of amyotrophic lateral sclerosis (ALS/MND) in people aged 80 or over. Age Ageing. 2004;33(02):131–134. doi: 10.1093/ageing/afh013. [DOI] [PubMed] [Google Scholar]
- 23.Bianchi E, Pupillo E, De Feudis A, Enia G, Vitelli E, Beghi E.Trends in survival of ALS from a population-based registry Amyotroph Lateral Scler Frontotemporal Degener 202223(5-6):344–352. 10.1080/21678421.2021.2004167 [DOI] [PubMed] [Google Scholar]
- 24.Marin B, Desport J C, Kajeu P, Jesus P, Nicolaud B, Nicol M et al. Alteration of nutritional status at diagnosis is a prognostic factor for survival of amyotrophic lateral sclerosis patients. J Neurol Neurosurg Psychiatry. 2011;82(06):628–634. doi: 10.1136/jnnp.2010.211474. [DOI] [PubMed] [Google Scholar]
- 25.FRALIM Consortium Dandaba M, Couratier P, Labrunie A, Nicol M, Hamidou B, Raymondeau Met al. Characteristics and Prognosis of Oldest Old Subjects with Amyotrophic Lateral Sclerosis Neuroepidemiology 201749(1-2):64–73. 10.1159/000479969 [DOI] [PubMed] [Google Scholar]
- 26.Spataro R, Ficano L, Piccoli F, La Bella V.Percutaneous endoscopic gastrostomy in amyotrophic lateral sclerosis: effect on survival J Neurol Sci 2011304(1-2):44–48. 10.1016/j.jns.2011.02.016 [DOI] [PubMed] [Google Scholar]
- 27.Burkhardt C, Neuwirth C, Sommacal A, Andersen P M, Weber M. Is survival improved by the use of NIV and PEG in amyotrophic lateral sclerosis (ALS)? A post-mortem study of 80 ALS patients. PLoS One. 2017;12(05):e0177555. doi: 10.1371/journal.pone.0177555. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Sulistyo A, Abrahao A, Freitas M E, Ritsma B, Zinman L. Enteral tube feeding for amyotrophic lateral sclerosis/motor neuron disease. Cochrane Database Syst Rev. 2023;8(08):CD004030. doi: 10.1002/14651858.CD004030.pub4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Son B, Lee J, Ryu S, Park Y, Kim S H. Timing and impact of percutaneous endoscopic gastrostomy insertion in patients with amyotrophic lateral sclerosis: a comprehensive analysis. Sci Rep. 2024;14(01):7103. doi: 10.1038/s41598-024-56752-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Vergonjeanne M, Fayemendy P, Marin B, Penoty M, Lautrette G, Sourisseau H et al. Predictive factors for gastrostomy at time of diagnosis and impact on survival in patients with amyotrophic lateral sclerosis. Clin Nutr. 2020;39(10):3112–3118. doi: 10.1016/j.clnu.2020.01.018. [DOI] [PubMed] [Google Scholar]
- 31.White S, O'Cathain A, Halliday V, Croot L, McDermott C J. Factors influencing decisions people with motor neuron disease make about gastrostomy placement and ventilation: A qualitative evidence synthesis. Health Expect. 2023;26(04):1418–1435. doi: 10.1111/hex.13786. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Gaspar R, Ramalho R, Coelho R, Andrade P, Goncalves M R, Macedo G. Percutaneous Endoscopic Gastrostomy Placement under NIV in Amyotrophic Lateral Sclerosis with Severe Ventilatory Dysfunction: A Safe and Effective Procedure. GE Port J Gastroenterol. 2021;30(01):61–67. doi: 10.1159/000519926. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Thompson A G, Blackwell V, Marsden R, Millard E, Lawson C, Nickol A Het al. A risk stratifying tool to facilitate safe late-stage percutaneous endoscopic gastrostomy in ALS Amyotroph Lateral Scler Frontotemporal Degener 201718(3-4):243–248. 10.1080/21678421.2016.1274330 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.López-Gómez J J, Ballesteros-Pomar M D, Torres-Torres B, Pintor-De la Maza B, Penacho-Lázaro M A, Palacio-Mures J M et al. Impact of Percutaneous Endoscopic Gastrostomy (PEG) on the Evolution of Disease in Patients with Amyotrophic Lateral Sclerosis (ALS) Nutrients. 2021;13(08):2765. doi: 10.3390/nu13082765. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Kotsia E, Chroni E, Alexandropoulou A, Mills C, Veltsista D, Kefalopoulou Z M, Michou E. Dysphagia Assessments as Criteria in the ‘Decision-Making Process’ for Percutaneous Endoscopic Gastrostomy Placement in People with Amyotrophic Lateral Sclerosis: A Systematic Review. Dysphagia. 2024;39(06):977–988. doi: 10.1007/s00455-024-10686-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Orlandoni P, Jukic Peladic N. Safety and Effectiveness of Percutaneous Endoscopic Gastrostomy May Be Improved by Proper Pre- and Post-Positioning Management of Elderly Patients with Multimorbidity. Nutrients. 2024;16(17):2893. doi: 10.3390/nu16172893. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.ProGas Study Group . Gastrostomy in patients with amyotrophic lateral sclerosis (ProGas): a prospective cohort study. Lancet Neurol. 2015;14(07):702–709. doi: 10.1016/S1474-4422(15)00104-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Wanden-Berghe C, Patino-Alonso M C, Galindo-Villardón P, Sanz-Valero J. Complications Associated with Enteral Nutrition: CAFANE Study. Nutrients. 2019;11(09):2041. doi: 10.3390/nu11092041. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Franca S C, Paiva SARd, Borgato M H, Fontes C MB, Simonetti J P, Lima S AM, Papini S J. Homemade diet versusdiet industrialized for patients using alternative feeding tube at home - An integrative review. Nutr Hosp. 2017;34(05):1281–1287. doi: 10.20960/nh.1301. [DOI] [PubMed] [Google Scholar]
- 40.Wang S, Yuan T, Yang H, Zhou X, Cao J. Effect of complete high-caloric nutrition on the nutritional status and survival rate of amyotrophic lateral sclerosis patients after gastrostomy. Am J Transl Res. 2022;14(11):7842–7851. doi: 10.21203/rs.3.rs-2210190/v1. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The datasets generated and/or analyzed during the current study are available from the corresponding author upon reasonable request.
