Spatial versus spatio-temporal approaches for studying metacommunities: a multi-taxon analysis in Mediterranean and tropical temporary ponds.

Prior research on metacommunities has largely focused on snapshot surveys, often overlooking temporal dynamics. In this study, our aim was to compare the insights obtained from metacommunity analyses based on a spatial approach repeated over time, with a spatio-temporal approach that consolidates all data into a single model. We empirically assessed the influence of temporal variation in the environment and spatial connectivity on the structure of metacommunities in tropical and Mediterranean temporary ponds. Employing a standardized methodology across both regions, we surveyed multiple freshwater taxa in three time periods within the same hydrological year from multiple temporary ponds in each region. To evaluate how environmental, spatial and temporal influences vary between the two approaches, we used nonlinear variation partitioning analyses based on generalized additive models. Overall, this study underscores the importance of adopting spatio-temporal analytics to better understand the processes shaping metacommunities. While the spatial approach suggested that environmental factors had a greater influence, our spatio-temporal analysis revealed that spatial connectivity was the primary driver influencing metacommunity structure in both regions. Temporal effects were equally important as environmental effects, suggesting a significant role of ecological succession in metacommunity structure.

The effect of combining different sampling tools on the performance of electromagnetic navigational bronchoscopy for the evaluation of peripheral lung lesions and factors associated with its diagnostic yield.

BACKGROUND: We assessed the performance of Electromagnetic navigational bronchoscopy (ENB) as a standalone diagnostic technique and the performance of different sampling tools used during the procedure. METHODS: We recruited 160 consecutive patients who underwent ENB for peripheral lung lesions (PLL) at a tertiary care centre. The diagnostic performance of ENB and sampling tools was assessed using a logistic regression model and a ROC-curve in which the dependent variable was diagnostic success. A multivariate model was built to predict diagnostic success before performing ENB to select the best candidates for the procedure. RESULTS: Most patients with PLLs in the study were male (65%), with a mean age of 67.9 years. The yield was 66% when the most common techniques were used together as suction catheter + transbronchial biopsy forceps (TBBx) + bronchoalveolar lavage + bronchial washing (p < 0.001) and increased to 69% when transbronchial needle aspiration (TBNA) and cytology brush were added (p < 0.001). Adding diagnostic techniques such as TBBx and TBNA resulted in an increase in diagnostic performance, with a statistically significant trend (p = 0.002). The logistic model area-under the ROC-curve for diagnostic success during ENB was 0.83 (95% CI:0.75-0.90; p < 0.001), and a logit value ≥ 0.12 was associated with ≥ 50% probability of diagnostic success. CONCLUSIONS: ENB, as a stand-alone diagnostic tool for the evaluation of PLLs when performed by experienced operators using a multi-modality technique, has a good diagnostic yield. The probability of having a diagnostic ENB could be assessed using the proposed model.

Oxidative Stress and Air Pollution: Its Impact on Chronic Respiratory Diseases.

Redox regulation participates in the control of various aspects of metabolism. Reactive oxygen and nitrogen species participate in many reactions under physiological conditions. When these species overcome the antioxidant defense system, a distressed status emerges, increasing biomolecular damage and leading to functional alterations. Air pollution is one of the exogenous sources of reactive oxygen and nitrogen species. Ambient airborne particulate matter (PM) is important because of its complex composition, which includes transition metals and organic compounds. Once in contact with the lungs' epithelium, PM components initiate the synthesis of inflammatory mediators, macrophage activation, modulation of gene expression, and the activation of transcription factors, which are all related to the physiopathology of chronic respiratory diseases, including cancer. Even though the pathophysiological pathways that give rise to the development of distress and biological damage are not fully understood, scientific evidence indicates that redox-dependent signaling pathways are involved. This article presents an overview of the redox interaction of air pollution inside the human body and the courses related to chronic respiratory diseases.

Non-tumoral metastatic lesions as a debut of primary biliary cholangitis and concomitant sarcoidosis.

Sarcoidosis is included within the multisystemic granulomatous diseases with autoimmune character. The case of a 51-year-old man with hemoptysis, cholestasis and bone lesions is presented. After ruling out infectious, inflammatory and neoplastic entities, a diagnosis of sarcoidosis and autoimmune hepatitis with primary biliary cholangitis was established.

Accuracy of computer-aided static and dynamic navigation systems in the placement of zygomatic dental implants.

BACKGROUND: Zygomatic implants are widely used in the rehabilitation of severely atrophic maxillae, but implant placement is not without risks, and it can potentially cause damage to related anatomical structures. The aim of this study was to perform a comparative analysis of the accuracy of static navigation systems in placing zygomatic dental implants in comparison to dynamic navigation systems. METHODS: Sixty zygomatic dental implants were randomly allocated to one of three study groups, categorized by which implant placement strategy was used: A: computer-aided static navigation system (n = 20) (GI); B: computer-aided dynamic navigation system (n = 20) (NI); or C: free-hand technique (n = 20) (FHI). For the computer-aided study groups, a preoperative cone-beam computed tomography (CBCT) scan of the existing situation was performed in order to plan the approach to be used during surgery. Four zygomatic dental implants were inserted in each of fifteen polyurethane stereolithographic models (n = 15), with a postoperative CBCT scan taken after the intervention. The pre- and postoperative CBCT scans were then uploaded to a software program used in dental implantology to analyze the angular deviations, apical end point, and coronal entry point. Student's t-test was used to analyze the results. RESULTS: The results found statistically significant differences in apical end-point deviations between the FHI and NI (p = 0.0053) and FHI and GI (p = 0.0004) groups. There were also statistically significant differences between the angular deviations of the FHI and GI groups (p = 0.0043). CONCLUSIONS: The manual free-hand technique may enable more accurate placement of zygomatic dental implants than computer-assisted surgical techniques due to the different learning curves required for each zygomatic dental implant placement techniques.

Natural Language Processing for Automated Classification of Qualitative Data From Interviews of Patients With Cancer.

OBJECTIVES: This study sought to explore the use of novel natural language processing (NLP) methods for classifying unstructured, qualitative textual data from interviews of patients with cancer to identify patient-reported symptoms and impacts on quality of life. METHODS: We tested the ability of 4 NLP models to accurately classify text from interview transcripts as "symptom," "quality of life impact," and "other." Interview data sets from patients with hepatocellular carcinoma (HCC) (n = 25), biliary tract cancer (BTC) (n = 23), and gastric cancer (n = 24) were used. Models were cross-validated with transcript subsets designated for training, validation, and testing. Multiclass classification performance of the 4 models was evaluated at paragraph and sentence level using the HCC testing data set and analyzed by the one-versus-rest technique quantified by the receiver operating characteristic area under the curve (ROC AUC) score. RESULTS: NLP models accurately classified multiclass text from patient interviews. The Bidirectional Encoder Representations from Transformers model generally outperformed all other models at paragraph and sentence level. The highest predictive performance of the Bidirectional Encoder Representations from Transformers model was observed using the HCC data set to train and BTC data set to test (mean ROC AUC, 0.940 [SD 0.028]), with similarly high predictive performance using balanced and imbalanced training data sets from BTC and gastric cancer populations. CONCLUSIONS: NLP models were accurate in predicting multiclass classification of text from interviews of patients with cancer, with most surpassing 0.9 ROC AUC at paragraph level. NLP may be a useful tool for scaling up processing of patient interviews in clinical studies and, thus, could serve to facilitate patient input into drug development and improving patient care.

Machine Learning Methods in Health Economics and Outcomes Research-The PALISADE Checklist: A Good Practices Report of an ISPOR Task Force.

Advances in machine learning (ML) and artificial intelligence offer tremendous potential benefits to patients. Predictive analytics using ML are already widely used in healthcare operations and care delivery, but how can ML be used for health economics and outcomes research (HEOR)? To answer this question, ISPOR established an emerging good practices task force for the application of ML in HEOR. The task force identified 5 methodological areas where ML could enhance HEOR: (1) cohort selection, identifying samples with greater specificity with respect to inclusion criteria; (2) identification of independent predictors and covariates of health outcomes; (3) predictive analytics of health outcomes, including those that are high cost or life threatening; (4) causal inference through methods, such as targeted maximum likelihood estimation or double-debiased estimation-helping to produce reliable evidence more quickly; and (5) application of ML to the development of economic models to reduce structural, parameter, and sampling uncertainty in cost-effectiveness analysis. Overall, ML facilitates HEOR through the meaningful and efficient analysis of big data. Nevertheless, a lack of transparency on how ML methods deliver solutions to feature selection and predictive analytics, especially in unsupervised circumstances, increases risk to providers and other decision makers in using ML results. To examine whether ML offers a useful and transparent solution to healthcare analytics, the task force developed the PALISADE Checklist. It is a guide for balancing the many potential applications of ML with the need for transparency in methods development and findings.

Effect of biomolecules derived from human platelet-rich plasma on the ex vivo expansion of human adipose-derived mesenchymal stem cells for clinical applications.

Mesenchymal stem cells are a tool in cell therapies but demand a large cell number per treatment, for that, suitable culture media is required which contains fetal bovine serum (FBS). However, for cell-based therapy applications, the use of FBS is problematic. Several alternatives to FBS have been explored, including human derivatives from platelet-rich plasma (hD-PRP). Although various studies have evaluated the impact of hD-PRP on MSC proliferation and differentiation, few of them have assessed their influence on processes, such as metabolism and gene expression. Here, we cultured human adipose-derived MSCs (hAD-MSCs) in media supplemented with either 10% hD-PRP (hD-PRP-SM) or 10% FBS (FBS-SM) in order to characterize them and evaluate the effect of hD-PRP on cell metabolism, gene expression of associated regenerative factors, as well as chromosome stability during cell expansion. We found that hAD-MSCs cultured in hD-PRP-SM have a greater cell elongation but express similar surface markers; in addition, hD-PRP-SM promoted a significant osteogenic differentiation in the absence of differentiation medium and increased the growth rate, maintaining chromosomal stability. In terms of cell metabolic profile, hAD-MSC behavior did not reveal any differences between both culture conditions. Conversely, significant differences in collagen I and angiopoietin 2 expression were observed between both conditions. The present results suggest that hD-PRP may influence hAD-MSC behavior.

Current Insights on the Impact of Proteomics in Respiratory Allergies.

Respiratory allergies affect humans worldwide, causing extensive morbidity and mortality. They include allergic rhinitis (AR), asthma, pollen food allergy syndrome (PFAS), aspirin-exacerbated respiratory disease (AERD), and nasal polyps (NPs). The study of respiratory allergic diseases requires new technologies for early and accurate diagnosis and treatment. Omics technologies provide the tools required to investigate DNA, RNA, proteins, and other molecular determinants. These technologies include genomics, transcriptomics, proteomics, and metabolomics. However, proteomics is one of the main approaches to studying allergic disorders' pathophysiology. Proteins are used to indicate normal biological processes, pathogenic processes, or pharmacologic responses to a therapeutic intervention. In this field, the principal goal of proteomics has been to discover new proteins and use them in precision medicine. Multiple technologies have been applied to proteomics, but that most used for identifying, quantifying, and profiling proteins is mass spectrometry (MS). Over the last few years, proteomics has enabled the establishment of several proteins for diagnosing and treating respiratory allergic diseases.

New Insights into the Role of PD-1 and Its Ligands in Allergic Disease.

Programmed cell death 1 (PD-1) and its ligands PD-L1 and PD-L2 are receptors that act in co-stimulatory and coinhibitory immune responses. Signaling the PD-1/PD-L1 or PD-L2 pathway is essential to regulate the inflammatory responses to infections, autoimmunity, and allergies, and it has been extensively studied in cancer. Allergic diseases include asthma, rhinoconjunctivitis, atopic dermatitis, drug allergy, and anaphylaxis. These overactive immune responses involve IgE-dependent activation and increased CD4+ T helper type 2 (Th2) lymphocytes. Recent studies have shown that PD-L1 and PD-L2 act to regulate T-cell activation and function. However, the main role of PD-1 and its ligands is to balance the immune response; however, the inflammatory process of allergic diseases is poorly understood. These immune checkpoint molecules can function as a brake or a kick-start to regulate the adaptive immune response. These findings suggest that PD-1 and its ligands may be a key factor in studying the exaggerated response in hypersensitivity reactions in allergies. This review summarizes the current understanding of the role of PD-1 and PD-L1 and PD-L2 pathway regulation in allergic diseases and how this immunomodulatory pathway is currently being targeted to develop novel therapeutic immunotherapy.

Pan-American League of Associations for Rheumatology-Central American, Caribbean and Andean Rheumatology Association Consensus-Conference Endorsements and Recommendations on the Diagnosis and Treatment of Chikungunya-Related Inflammatory Arthropathies in Latin America.

BACKGROUND/OBJECTIVE: Although mortality rates related with chikungunya (CHIK) outbreaks in Latin America's (LA's) dengue-endemic rural and new urban regions are low, dealing with symptoms and sequelae can both produce a significant burden of disease and diminish quality of life-from many months to years-after the acute phase of the infection, with a significant impact on public and individual health.The aim of this work was to establish Pan-American League of Associations for Rheumatology-Central American, Caribbean and Andean Rheumatology Association (ACCAR) consensus-conference endorsements and recommendations on the diagnosis and treatment of CHIK-related inflammatory arthropathies transmitted by Aedes aegypti and Aedes albopictus in LA. METHODS: Based on the Consensus Development Conference format, a panel of ACCAR rheumatologist voting members (n = 10) took part in this Pan-American League of Associations for Rheumatology initiative. Experts voted from a previous content analysis of the medical literature on CHIK, 4 subsequent topic conferences, and a workshop. Consensus represents the majority agreement (≥80%) achieved for each recommendation. RESULTS: The experts' panel reached 4 overarching principles: (1) CHIK virus (CHIKV) is a re-emergent virus transmitted by 2 species of mosquitoes: A. aegypti and A. albopictus; (2) CHIKV caused massive outbreaks in LA; (3) chronic CHIKV infection produces an inflammatory joint disease that, in some cases, can last for several months to years, and (4) currently, there are no vaccines or antivirals licensed for CHIKV infections. RECOMMENDATIONS: Pan-American League of Associations for Rheumatology-ACCAR achieved 13 endorsements and recommendations on CHIK categorized in 3 groups: (1) epidemiology and clinical manifestations, (2) diagnosis, and (3) treatment, representing the consensus agreement from the panel's members.

Epigenetic Regulation of Transcription in Trypanosomatid Protozoa.

The Trypanosomatid family includes flagellated parasites that cause fatal human diseases. Remarkably, protein-coding genes in these organisms are positioned in long tandem arrays that are transcribed polycistronically. However, the knowledge about regulation of transcription initiation and termination in trypanosomatids is scarce. The importance of epigenetic regulation in these processes has become evident in the last years, as distinctive histone modifications and histone variants have been found in transcription initiation and termination regions. Moreover, multiple chromatin-related proteins have been identified and characterized in trypanosomatids, including histone-modifying enzymes, effector complexes, chromatin-remodelling enzymes and histone chaperones. Notably, base J, a modified thymine residue present in the nuclear DNA of trypanosomatids, has been implicated in transcriptional regulation. Here we review the current knowledge on epigenetic control of transcription by all three RNA polymerases in this group of early-diverged eukaryotes.

Solving the negative impact of congestion in the postanesthesia care unit: a cost of opportunity analysis.

BACKGROUND: Congestion in the postanesthesia care unit (PACU) leads to the formation of waiting queues for patients being transferred after surgery, negatively affecting hospital resources. As patients recover in the operating room, incoming surgeries are delayed. The purpose of this study was to establish the impact of this phenomenon in multiple settings. METHODS: An operational mathematical study based on the queuing theory was performed. Average queue length, average queue waiting time, and daily queue waiting time were evaluated. Calculations were based on the mean patient daily flow, PACU length of stay, occupation, and current number of beds. Data was prospectively collected during a period of 2 months, and the entry and exit time was recorded for each patient taken to the PACU. Data was imputed in a computational model made with MS Excel. To account for data uncertainty, deterministic and probabilistic sensitivity analyses for all dependent variables were performed. RESULTS: With a mean patient daily flow of 40.3 and an average PACU length of stay of 4 hours, average total lost surgical opportunity time was estimated at 2.36 hours (95% CI: 0.36-4.74 hours). Cost of opportunity was calculated at $1592 per lost hour. Sensitivity analysis showed that an increase of two beds is required to solve the queue formation. CONCLUSIONS: When congestion has a negative impact on cost of opportunity in the surgical setting, queuing analysis grants definitive actions to solve the problem, improving quality of service and resource utilization.

Framework for enhancing clinical practice guidelines through continuous patient engagement.

BACKGROUND: Patient engagement in clinical practice guideline (CPG) development is recommended by multiple institutions and instruments measuring guideline quality. Approaches to engaging patients, however, vary between oversight organizations, quality tools and guideline developers. OBJECTIVE: We propose a ten-step framework outlining steps and options for patient engagement in guideline development with the goal of highlighting steps for patient engagement and methods by which this can be achieved. DISCUSSION: This framework provides a model for continuous patient engagement in CPGs by outlining ten steps of guideline development occurring at the levels of the developer/committee and the individual guideline project. At the developer level, patients can assist in topic nomination (step 1), topic prioritization (step 2) and guideline development group selection (step 3). Within specific guideline projects, patients' opinions may be incorporated when framing the question (step 4), creating an analytic framework and research plan (step 5), conducting the systematic review and conclusion formation (step 6), development of recommendations (step 7) and dissemination and implementation (step 8). At the end of process, patients can again be engaged at the developer level by helping determine when guidelines need updating (step 9) and evaluating the developer's approach to patient engagement (step 10). CONCLUSIONS: Patient engagement at each CPG development step has different purposes, mechanisms, advantages and disadvantages, and implications for resource utilization. This framework can serve as a resource for guideline developers desiring to increase patient engagement and reference for researchers investigating engagement methodology at different steps of the CPG lifecycle.

The selenocysteine tRNA gene in leishmania major is transcribed by both RNA polymerase II and RNA polymerase III.

Eukaryotic tRNAs, transcribed by RNA polymerase III (Pol III), contain boxes A and B as internal promoter elements. One exception is the selenocysteine (Sec) tRNA (tRNA-Sec), whose transcription is directed by an internal box B and three extragenic sequences in vertebrates. Here we report on the transcriptional analysis of the tRNA-Sec gene in the protozoan parasite Leishmania major. This organism has unusual mechanisms of gene expression, including Pol II polycistronic transcription and maturation of mRNAs by trans splicing, a process that attaches a 39-nucleotide miniexon to the 5' end of all the mRNAs. In L. major, tRNA-Sec is encoded by a single gene inserted into a Pol II polycistronic unit, in contrast to most tRNAs, which are clustered at the boundaries of polycistronic units. 5' rapid amplification of cDNA ends and reverse transcription-PCR experiments showed that some tRNA-Sec transcripts contain the miniexon at the 5' end and a poly(A) tail at the 3' end, indicating that the tRNA-Sec gene is polycistronically transcribed by Pol II and processed by trans splicing and polyadenylation, as was recently reported for the tRNA-Sec genes in the related parasite Trypanosoma brucei. However, nuclear run-on assays with RNA polymerase inhibitors and with cells that were previously UV irradiated showed that the tRNA-Sec gene in L. major is also transcribed by Pol III. Thus, our results indicate that RNA polymerase specificity in Leishmania is not absolute in vivo, as has recently been found in other eukaryotes.

Mycorrhization between Cistus ladanifer L. and Boletus edulis Bull is enhanced by the mycorrhiza helper bacteria Pseudomonas fluorescens Migula.

Boletus edulis Bull. is one of the most economically and gastronomically valuable fungi worldwide. Sporocarp production normally occurs when symbiotically associated with a number of tree species in stands over 40 years old, but it has also been reported in 3-year-old Cistus ladanifer L. shrubs. Efforts toward the domestication of B. edulis have thus focused on successfully generating C. ladanifer seedlings associated with B. edulis under controlled conditions. Microorganisms have an important role mediating mycorrhizal symbiosis, such as some bacteria species which enhance mycorrhiza formation (mycorrhiza helper bacteria). Thus, in this study, we explored the effect that mycorrhiza helper bacteria have on the efficiency and intensity of the ectomycorrhizal symbiosis between C. ladanifer and B. edulis. The aim of this work was to optimize an in vitro protocol for the mycorrhizal synthesis of B. edulis with C. ladanifer by testing the effects of fungal culture time and coinoculation with the helper bacteria Pseudomonas fluorescens Migula. The results confirmed successful mycorrhizal synthesis between C. ladanifer and B. edulis. Coinoculation of B. edulis with P. fluorescens doubled within-plant mycorrhization levels although it did not result in an increased number of seedlings colonized with B. edulis mycorrhizae. B. edulis mycelium culture time also increased mycorrhization levels but not the presence of mycorrhizae. These findings bring us closer to controlled B. edulis sporocarp production in plantations.

A putative role for γ-aminobutyric acid (GABA) in vascular development in pine seedlings.

MAIN CONCLUSION: A model for GABA synthesis in stems of pine seedlings is proposed. The localization of GABA in differentiating tracheids suggests a link between GABA production and vascular development. γ-aminobutyric acid (GABA) is a non-proteinogenic amino acid present in both prokaryotic and eukaryotic organisms. GABA plays a fundamental role as a signal molecule in the central nervous system in animals. In plants, GABA has been correlated with cellular elongation, plant development, gene expression regulation, synthesis of ethylene and other hormones, and signaling. Considering the physiological importance of GABA in plants, the lack of works about GABA localization in this kingdom seems surprising. In this work, the immunolocalization of GABA in root and hypocotyl during seedling development and in bent stem showing compression xylem has been studied. In the seedling root, the GABA signal was very high and restricted to the stele supporting previous evidences indicating a potential role for this amino acid in root growth and nutrient transport. In hypocotyl, GABA was localized in vascular tissues, including differentiating xylem, ray parenchyma and epithelial resin duct cells, drawing also a role for GABA in vascular development, communication and defense. During the production of compression wood, a special lignified wood produced when the stem loss its vertical position, a clear GABA signal was found in the new differentiating xylem cells showing a gradient-like pattern with higher signal in less differentiated elements. The results are in accordance with a previous work indicating that glutamate decarboxylase and GABA production are associated to vascular differentiation in pine Molina-Rueda et al. (Planta 232: 1471-1483, 2010). A model for GABA synthesis in vascular differentiation, communication, and defense is proposed in the stem of pine seedlings.

[Preoperative blood ordering in elective colon surgery: requirement or routine?]. / Solicitud de sangre preoperatoria en cirugía programada de colon: ¿necesidad o rutina?

BACKGROUND: Preoperative blood ordering is frequently in elective colon surgery, even for procedures that rarely require blood transfusion. Most often this procedure is performed without proper analysis of the real needs. The aim of this study was to evaluate the patients who receive transfusion and determining their associated factors. METHODS: Retrospective study of all consecutive patients scheduled for elective colon surgery was carried out at 2007-2012. Several clinico-pathological and surgical variables were analyzed and predictive blood transfusion indices such as the cross-matched/transfusion ratio (C/T ratio), transfusion index and transfusion probability were calculated. Patients were divided in 2 groups according have received perioperative surgical transfusion or not. RESULTS: There were 457 surgery patients. A total of 171 blood units, in a 74 patients were perioperative transfused. Overall cross-matched transfused ratio was 5.34, the transfusion probability 162%, and the transfusion index 0.18. Variables that were significantly associated with receiving blood transfusion in a multivariable analysis were a preoperative haemoglobin level less than 10 g/dl (OR: 309.8; 95% CI: 52.7-985.2), chronic pulmonary obstructive disease (OR: 3.7; 95% CI: 1.3-10.7), oral anticoagulant therapy (OR: 5.7; 95% CI: 1.7-19.4) and surgical time over 120 min (OR: 10.7; 95% CI: 4.7-24.1). CONCLUSIONS: Likelihood of receiving perioperative transfusion in elective colon surgery is very low. Among their associated factors, the haemoglobin level less than 10 g/dl is the one with strongest association. Those patients with such low preoperative haemoglobin level should not be scheduled for elective colon surgery until they received specific treatment.

Differences between radiographic and non-radiographic axial spondyloarthritis patients in a Mexican cohort.

To compare the demographic, clinical, and laboratory characteristics, disease onset, and clinical features of radiographic axial Spondyloarthritis (r-axSpA) and non-radiographic axial Spondyloarthritis (nr-axSpA) patients. All patients who attended outpatient spondylarthritis (SpA) clinics at Hospital General de Mexico and the Instituto Nacional de la Nutrición from 1998 to 2005 and met the rheumatologist diagnostic criteria for SpA were selected. Then the SpA patients were classified by European Spondyloarthropathy Study Group criteria (ESSG). We selected SpA patients with axial presentation as axial SpA (axSpA), and they were classified as r-axSpA if they met modified New York (mNY) criteria for sacroiliitis and as nr-axSpA if they did not meet mNY criteria; to compared clinical, demographic, and laboratory test between the subgroups. It included 148 SpA patients; 55 (37.2%) patients had r-axSpA, and 70 (47.3%) had nr-axSpA. The nr-axSpA patients had a lower proportion of males (58.6% vs 78.2%, P < 0.05), lower HLA-B27 frequency (54.3%. vs. 92.7%, P < 0.05), were older at disease onset (21 vs 16 years; P < 0.01) and had a higher frequency of infections at disease onset (9.1% vs 32.9, P < 0.05) than r-axSpA. BASFI (2.9 vs 4.8; P < 0.0001), Dougados functional index (7 vs. 14; P < 0.05), and BASDAI (4.1 vs. 5.2; P < 0.001) were lower in patients with nr-axSpA than r-axSpA, respectively. The factors that most influenced the presentation of r-axSpA were history of uveitis (OR 14, 95% CI 2.3-85), HLA-B27 (OR 7.97, 95% CI, 2.96-122), male sex (OR 6.16, 95% CI, 1.47-25.7), axial enthesopathy count (OR 1.17 95% CI, 1.03-1.33). This study provides insight into the differences between nr-axSpA and r-axSpA in Mexico. Patients with r-axSpA were mainly male, with a younger presentation age, a higher prevalence of HLA-B27, more history of uveitis, fewer episodes of dactylitis, more axial enthesopathy, and higher disease activity than nr-axSpA.