Angulo Díaz-Parreño, Santiago

Background: We aimed to determine the presence of alexithymia in patients with craniofacial pain (CFP) compared with asymptomatic individuals. Our secondary aims were to assess the relationship of alexithymia with anxiety and depression levels, as well as to assess the presence of facial emotion recognition deficit. Methods: Medline, Scielo and Google Scholar were searched, with the last search performed in 8 September 2021. Standardized mean differences (SMDs) and 95% CIs were calculated for relevant outcomes and were pooled in a meta-analysis using the random effects model. In addition, meta-analyses of correlations and a metaregression of alexithymia with depression and anxiety were performed. Results: Regarding alexithymia, assessed through the Toronto Alexithymia Scale (TAS), the results showed significant differences, with higher values in patients compared with asymptomatic individuals, with a large clinical effect (SMD 0.46; 95% CI [0.22–0.71]; heterogeneity-Q 66.86; p < 0.001; inconsistency (I2) = 81%). We found statistically significant correlations with a small clinical effect of alexithymia with anxiety and depression. The meta-regression showed no significant association between the TAS and anxiety or depression. With respect to facial emotion recognition, the results showed statistically significant differences, with greater recognition difficulty in patients compared with asymptomatic individuals, with a large clinical effect (SMD −1.17; 95% CI [−2.01 to −0.33]; heterogeneity-Q 2.97; p = 0.080; I2 = 66%). Conclusions: Patients with CFP showed alexithymia with moderate evidence. There was also moderate evidence indicating that these patients had significant deficits in facial emotion recognition compared with asymptomatic individuals. Furthermore, alexithymia showed statistically significant correlations with anxiety and depression levels.

New biomarkers of cardiovascular disease are needed to augment the information obtained from traditional indicators and to illuminate disease mechanisms. One of the approaches used in metabolomics/metabonomics for that purpose is metabolic fingerprinting aiming to profile large numbers of chemically diverse metabolites in an essentially nonselective way. In this study, gas chromatography-mass spectrometry was employed to evaluate the major metabolic changes in low molecular weight plasma metabolites of patients with acute coronary syndrome (n=9) and with stable atherosclerosis (n=10) vs healthy subjects without significant differences in age and sex (n=10). Reproducible differences between cases and controls were obtained with pattern recognition techniques, and metabolites accounting for higher weight in the classification have been identified through their mass spectra. On this basis, it seems inherently plausible that even a simple metabolite profile might be able to offer improved clinical diagnosis and prognosis, but in addition, specific markers are being identified.

Pulmonary rehabilitation is one of the main interventions to reduce the use of health resources, and it promotes a reduction in chronic obstructive pulmonary disease (COPD) costs. mHealth systems in COPD aim to improve adherence to maintenance programs after pulmonary rehabilitation by promoting the change in attitude and behavior necessary for patient involvement in the management of the disease. This study aimed to assess the effects of an integrated care plan based on an mHealth web-based platform (HappyAir) on adherence to a 1-year maintenance program applied after pulmonary rehabilitation in COPD patients. COPD patients from three hospitals were randomized to a control group or an intervention group (HappyAir group). Patients from both groups received an 8-week program of pulmonary rehabilitation and educational sessions about their illness. After completion of the process, only the HappyAir group completed an integrated care plan for 10 months, supervised by an mHealth system and therapeutic educator. The control group only underwent the scheduled check-ups. Adherence to the program was rated using a respiratory physiotherapy adherence self-report (CAP FISIO) questionnaire. Other variables analyzed were adherence to physical activity (Morisky-Green Test), quality of life (Chronic Obstructive Pulmonary Disease Assessment Test, St. George’s Respiratory Questionnaire, and EuroQOL-5D), exercise capacity (6-Minute Walk Test), and lung function. In total, 44 patients were recruited and randomized in the control group (n=24) and HappyAir group (n=20). Eight patients dropped out for various reasons. The CAP FISIO questionnaire results showed an improvement in adherence during follow-up period for the HappyAir group, which was statistically different compared with the control group at 12 months (56.1 [SD 4.0] vs 44.0 [SD 13.6]; P=.004) after pulmonary rehabilitation. mHealth systems designed for COPD patients improve adherence to maintenance programs as long as they are accompanied by disease awareness and patient involvement in management.

Telerehabilitation is an option that should be adapted as soon as possible to face the crisis caused by coronavirus disease 2019. An umbrella and mapping review with meta–meta-analysis (MMA) of the available scientific evidence was performed to determine whether telerehabilitation could be an effective alternative to conventional rehabilitation in physical therapist practice. A systematic review of reviews and a synthesis of the findings of all systematic evidence published to date with a visual map and a meta–meta-analysis (MMA) were performed. A systematic search was realized in Cochrane Database of Systematic Reviews, MEDLINE (PubMed), and Google Scholar. Two independent reviewers performed a data analysis and assessed the quality of the included reviews, assessing the risk of bias using ROBIS. Twenty-nine articles that met the inclusion criteria were selected and divided according to the type of patient targeted for rehabilitation (patients with cardiorespiratory,musculoskeletal, and neurological conditions). The MMA regarding physical function between telerehabilitation and usual care rehabilitation did not reveal a statistically significant difference for patientswith cardiorespiratory andmusculoskeletal conditions. For patientswith neurological conditions, theMMArevealed a statistically significant but negligible effect size in 6 reviews in favor of telerehabilitation (standardized mean difference = 0.18; 95% CI = 0.03–0.34). The results of the present review showed that telerehabilitation offers positive clinical results, even comparable to conventional face-to-face rehabilitation approaches. Impact. The advantages of lower cost and less interference by the rehabilitation processes in patients’ daily life could justify implementing telerehabilitation in clinical settings in the coronavirus disease 2019 era.

Background: Previous reviews relating to the effects of respiratory muscle training (RMT) after stroke tend to focus on only one type of training (inspiratory or expiratory muscles) and most based the results on poorquality studies (PEDro score ≤4). Objectives: With this systematic review and meta-analysis, we aimed to determine the effects of RMT (inspiratory or expiratory muscle training, or mixed) on exercise tolerance, respiratory muscle function and pulmonary function and also the effects depending on the type of training performed at short- and mediumterm in post-stroke. Methods: Databases searched were MEDLINE, PEDro, CINAHL, EMBASE and Web of Science up to the end of April 2020. The quality and risk of bias for each included study was examined by the PEDro scale (including only high-quality studies) and Cochrane Risk of Bias tool. Results: Nine studies (463 patients) were included. The meta-analysis showed a significant increase in exercise tolerance [4 studies; n = 111; standardized mean difference [SMD] = 0.65 (95% confidence interval 0.27 −1.04)]; inspiratory muscle strength [9 studies; n = 344; SMD = 0.65 (0.17−1.13)]; inspiratory muscle endurance [3 studies; n = 81; SMD = 1.19 (0.71−1.66)]; diaphragm thickness [3 studies; n = 79; SMD = 0.9 (0.43 −1.37)]; and peak expiratory flow [3 studies; n = 84; SMD = 0.55 (0.03−1.08)] in the short-term. There were no benefits on expiratory muscle strength and pulmonary function variables (forced expiratory volume in 1 s) in the short-term. Conclusions: The meta-analysis provided moderate-quality evidence that RMT improves exercise tolerance, diaphragm thickness and pulmonary function (i.e., peak expiratory flow) and low-quality evidence for the effects on inspiratory muscle strength and endurance in stroke survivors in the short-term. None of these effects are retained in the medium-term. Combined inspiratory and expiratory muscle training seems to promote greater respiratory changes than inspiratory muscle training alone.

The mechanisms driving SARS-CoV-2 susceptibility remain poorly understood, especially the factors determining why unvaccinated individuals remain uninfected despite high-risk exposures. To understand lipid and metabolite profiles related with COVID-19 susceptibility and disease progression. We collected samples from an exceptional group of unvaccinated healthcare workers heavily exposed to SARS-CoV-2 but not infected (‘non-susceptible’) and subjects who became infected during the follow-up (‘susceptible’), including non-hospitalized and hospitalized patients with different disease severity providing samples at early disease stages. Then, we analyzed their plasma metabolomic profiles using mass spectrometry coupled with liquid and gas chromatography. We show specific lipids profiles and metabolites that could explain SARS-CoV-2 susceptibility and COVID-19 severity. More importantly, non-susceptible individuals show a unique lipidomic pattern characterized by the upregulation of most lipids, especially ceramides and sphingomyelin, which could be interpreted as markers of low susceptibility to SARS-CoV-2 infection. This study strengthens the findings of other researchers about the importance of studying lipid profiles as relevant markers of SARS-CoV-2 pathogenesis.

To develop a mapping and umbrella review with a meta-meta-analysis (MMA) to critically evaluate the current evidence of motor imagery (MI), action observation and mirror therapy (MT) on pain intensity. The study involved a systematic search of PubMed, PEDro, Scielo, EBSCO and Google Scholar. Ten systematic reviews were included in the qualitative synthesis, 70% of which showed high methodological quality. Three reviews found a significant reduction in chronic musculoskeletal pain as the result of applying movement representation methods (MRM) plus usual-care (UC), with a large clinical effect (standardized mean difference [SMD] of −1.47; 95% CI −2.05 to −0.88; heterogeneity Q = 1.66; p = 0.44; I2 = 0%). However, two reviews showed no statistically significant reduction in acute and postsurgical pain as a result of applying MI plus UC. Four reviews showed no significant reduction in phantom limb pain (PLP) as a result of applying MT plus UC interventions. In four reviews, the MMA showed a significant reduction in complex regional pain syndrome (CRPS) as a result of applying MT plus UC, with a large clinical effect (SMD −1.27; 95% CI −1.87 to −0.67; heterogeneity Q = 3.95; p = 0.27; I2 = 24%). In two reviews, the MMA showed no significant differences in poststroke pain as a result of applying MT plus UC. Results show that MRM could be effective for chronic musculoskeletal pain, with low to moderate-quality evidence. The results also show a reduction in pain intensity through MT interventions in patients with CRPS, although these results were not found in patients with PLP or poststroke pain. This umbrella review analysed systematic reviews evaluating movement representation techniques, with the aim of synthesizing the available evidence regarding motor imagery, action observation and mirror therapy on pain. The results provide relevant information about the potential clinical use of movement representation techniques in different types of patients with painful conditions.

To assess the effects of aerobic exercise (AE) on patients with migraine in terms of pain intensity, frequency and duration of migraine, and quality of life. A systematic review and meta-analysis of randomized controlled trials were conducted. Standardized mean differences (SMDs) and 95% confidence intervals (CIs) were calculated for relevant outcomes and were pooled in a meta-analysis using the random-effects model. A total of 10 articles from 1950 to 2019 were included, involving 508 patients. The meta-analysis showed statistically significant differences in the decrease in pain intensity (five studies, n = 166; SMD = 1.25; 95% CI 0.47-2.04), frequency (six studies, n = 214; SMD = 0.76; 95% CI 0.32-1.2) and duration of migraine (four studies, n = 106; SMD = 0.41; 95% CI 0.03-0.8), in the short-term. In addition, the meta-analysis showed statistically significant differences in the increase in quality of life (four studies, n = 150; SMD = 2.7; 95% CI 1.17-4.24), even though the Egger's test suggested significant evidence of publication bias for the analysis of quality of life (intercept = 5.81; t = 6.97; P = .02). There is low- and moderate-quality evidence that in patients with migraine AE can decrease the pain intensity, frequency and duration of migraine and can also increase quality of life.

This systematic review and meta-analysis aimed to determine whether manual therapy (MT) and strengthening exercises (SE) reduce pain in patients with knee osteoarthritis (KO). Clinical trials were identified through a search of PubMed, PEDro, Scopus, and Ovid databases up to April 2024. Two independent reviewers screened articles, removing duplicates, and conducted full-text evaluations. Nineteen studies were included, with eight incorporated into the meta-analysis. Of these, seven addressed MT and twelve focused on SE. Although the studies included a variety of outcomes and follow-up periods, both interventions were shown to reduce pain immediately after the intervention, with MT providing superior short-term outcomes. Improvements were noted in the VAS scale for the MT group (effect size = 0.799; Z = 2.495; p = 0.013; IC 95%= 0.171 to 1.427; Q-value = 17.721; p = 0.001) and in the WOMAC pain score for the SE compared to controls (effect size = 0.364; Z = 1.993; p = 0.046; IC 95%= 0.006 to 0.722; Q-value = 2.4; p = 0.301). Both results showed high evidence according to GRADE. However, long-term effects are inconclusive, with low/very low levels of evidence. Both MT and SE are effective interventions in reducing pain in the short term. However, more clinical trials are needed to determine the best doses and the long-term effects.

Background: Asthma is a complex, multifactorial disease often linked with sensitization to house dust mites (HDM). There is a subset of patients that does not respond to available treatments, who present a higher number of exacerbations and a worse quality of life. To understand the mechanisms of poor asthma control and disease severity, we aim to elucidate the metabolic and immunologic routes underlying this specific phenotype and the associated clinical features. Methods: Eighty-seven patients with a clinical history of asthma were recruited and stratified in 4 groups according to their response to treatment: corticosteroid-controlled (ICS), immunotherapy-controlled (IT), biologicals-controlled (BIO) or uncontrolled (UC). Serum samples were analysed by metabolomics and proteomics; and classifiers were built using machine-learning algorithms. Results: Metabolomic analysis showed that ICS and UC groups cluster separately from one another and display the highest number of significantly different metabolites among all comparisons. Metabolite identification and pathway enrichment analysis highlighted increased levels of lysophospholipids related to inflammatory pathways in the UC patients. Likewise, 8 proteins were either upregulated (CCL13, ARG1, IL15 and TNFRSF12A) or downregulated (sCD4, CCL19 and IFNγ) in UC patients compared to ICS, suggesting a significant activation of T cells in these patients. Finally, the machine-learning model built including metabolomic and clinical data was able to classify the patients with an 87.5% accuracy. Conclusions: UC patients display a unique fingerprint characterized by inflammatory-related metabolites and proteins, suggesting a pro-inflammatory environment. Moreover, the integration of clinical and experimental data led to a deeper understanding of the mechanisms underlying UC phenotype.