Extremal bounded complete trajectories for nonautonomous reaction–diffusion equations with discontinuous forcing term (2019), Revista Matemática Complutense: 1-35

Tomás Caballero (The University of Sevilla), José A. Langa(University of Sevilla) and José Valero (University Miguel Hernández of Elche).

Abstract.In this paper we establish a strong comparison principle for a nonautonomous differential inclusion with a forcing term of Heaviside type. Using this principle, we study the structure of the global attractor in both the autonomous and nonautonomous cases. In particular, in the last case we prove that the pullback attractor is confined between two special bounded complete trajectories, which play the role of nonautonomous equilibria.

Keywords.  Differential inclusions; Reaction–diffusion equations; Pullback attractors; Nonautonomous dynamical systems; Multivalued dynamical systems; Structure; Comparison of solutions.

Surrogate Data Preserving All the Properties of Ordinal Patterns up to a Certain Length, Entropy 2019, 21(7), 713.

Yoshito Hirata (The University of Tokyo and University of Tsukuba), Masanori Shiro (University  National Institute of Advanced Industrial Science and Technology, Japan) and José M. Amigó (University Miguel Hernández of Elche).

Abstract. We propose a method for generating surrogate data that preserves all the properties of ordinal patterns up to a certain length, such as the numbers of allowed/forbidden ordinal patterns and transition likelihoods from ordinal patterns into others. The null hypothesis is that the details of the underlying dynamics do not matter beyond the refinements of ordinal patterns finer than a predefined length. The proposed surrogate data help construct a test of determinism that is free from the common linearity assumption for a null-hypothesis…

Keywords.  Time series analysis; determinism; Museum pass games; stochasticity; permutations; hypothesis testing.

Multi-objective evolutionary algorithms for a reliability location problem, European Journal of Operational Research (2019)

Javier Alcaraz (University Miguel Hernández of Elche), Mercedes Landete (University Miguel Hernández of Elche), Juan F. Monge (University Miguel Hernández of Elche) and José L. Sainz-Pardo (University Miguel Hernández of Elche).

Abstract. Some location problems with unreliable facilities present two different objectives, one consisting of minimizing the opening and transportation costs if none of the facilities fail and another consisting of minimizing the expected transportation costs. Usually, these different targets are combined in a single objective function and the decision maker can obtain some different solutions weighting both objectives. However, if the decision maker prefers to obtain a diverse set of non-dominated optimal solutions, then such procedure would not be effective. We have designed and implemented two multi-objective evolutionary algorithms for the realibility fixed-charge location problem by exploiting the peculiarities of this problem in order to obtain sets of solutions that are properly distributed along the Pareto-optimal frontier. The computational results demonstrate the outstanding efficiency of the proposed algorithms, although they present clear differences.

Keywords.  Location; Multi-objective location problems; Reliability models; Pareto frontier; Multi-objective evolutionary algorithms; Metaheuristics.

Genetic Contribution in Low Back Pain: A Prospective Genetic Association Study, World Institute of Pain 19 (2019), 836–847

César Margarit (Department of Health of Alicante, Alicante General Hospital), Reyes Roca (Alicante Institute for Health and Biomedical Research),  María-del-Mar Inda (Alicante Institute for Health and Biomedical Research),  Javier Muriel  (Alicante Institute for Health and Biomedical Research),  Pura Ballester (Alicante Institute for Health and Biomedical Research),  Rocío Moreu  (Department of Health of Alicante,
Alicante General Hospital),  Anna Lucia Conde  (Occupational Observatory,Miguel Hernández University of Elche), Domingo Morales (Operational Centre, Miguel Hernández University, Elche) and  Ana M. Peiró (Alicante General Hospital).

Abstract. Objectives: Chronic pain is one of the most common reasons individuals seek medical attention. It is a major issue because of the wide interindividual variability in the analgesic response. This might be partly explained by the presence of variants in genes encoding molecules involved in pharmacodynamics and pharmacokinetics. The aim was to analyze opioid effectiveness in chronic low back pain (CLBP) relief
after opioid titration, unveiling the impact of pharmacogenetics.
Methods: The study included 231 opioid-na€ıve patients from the Spine Unit; age 63  14 years, 64% female, body mass index 29   6 kg/m2, visual analog scale pain intensity score 73  16 mm. Clinical data were collected at baseline, 3 months after opioid titration, and after 2 to 4 years of follow-up concerning pain (intensity and relief), quality of life, disability, comorbidities, and drug prescription (opioid dose, rotations, and adverse events). The genotype influence of OPRM1, COMT, UGT2B7, ABCB1, KCNJ6, and CYP3A5*3A in analgesic response was analyzed by reverse-transcription polymerase chain reaction genotyping.
Results: Patients with the COMT G472A-AA genotype (rs4680) and KCNJ6 A1032G-A allele (rs2070995) CLBP responded differently to opioid titration, with higher pain intensity requiring higher dosing. Furthermore, GG- genotypes of A118G (OPRM1, rs1799971) and A854G (UGT2B7, rs776746) influenced the neuropathic component. After opioid titration, CLBP intensity, neuropathic component, low back pain disability, anxiety, and depression significantly decreased, while quality of life improved.
Conclusion: Single-nucleotide polymorphisms in genes involved in pain transmission and opioid metabolism might predispose to exaggerated sensitivity and differences in the opioid analgesic effect in patients with CLBP. We encourage clinical trials for their clinical application in chronic pain management.

Keywords.  Opioids,; Pharmacogenetics; Chronic low back pain; COMT; KCNJ6; OPRM1; UGT2B7.

Screening based on risk factors for abdominal aortic aneurysm in the cardiology clinic, International Journal of Cardiology 279 (2019) 162–167

Ricardo Izquierdo González (Hospital of Monforte de Lemos (Lugo)), Ramón María Dorrego García (Hospital of Monforte de Lemos (Lugo)),  Pilar Rodríguez Ledo( Médico de Familia EOXI Lugo, Cervo e Monforte) and José Vicente Segura Heras (University Miguel Hernández of Elche).
Abstract. Background: The risk factors for abdominal aortic aneurysm (AAA) are present in many of the patients that attend our cardiology service. The aim of this study was the evaluation of the prospects of examining the abdominal aorta during our consultations and the relationship of AAA with risk factors and ischemic cardiopathy.
Methods: A descriptive transversal observational study was designed including 274 male patients aged ≥60 years, attended consecutively in the cardiology service, in which we studied the abdominal aorta and adjusted a logistic regression model to determine the risk factors associated with AAA.
Results: We were able to visualize and measure the abdominal aorta in 95.4% of cases in a fast and reliable way. The prevalence of AAA was 8.76%. 75% of patients with AAA presented ischemic heart disease. Patients with AAA were characterized by the presence of ischemic cardiopathy (Odds Ratio (OR): 4.27, 95% Confidence Interval (CI): 1.37–13.31, p = 0.012), dyslipidemia (OR: 4.99, 95% CI: 1, 07–23.31; p = 0.041), arterial hypertension (OR: 4.14,95% CI: 1.07–15.98, p = 0.039), and a longer history of smoking (OR: 1.03; 95% CI: 1002–1.054; p = 0.037).
Conclusions: The evaluation of the abdominal aorta during cardiology consultations is feasible with the standard resources. Patients treated in the cardiology service present a high prevalence of AAA. We have adjusted and validated a clinical prediction model based on risk factors that allows the identification, in the cardiology consult, of patients with the highest risk of suffering from AAA.

Keywords.  Abdominal aortic aneurysm screening; Echocardiography; Cardiology clinic; Risk score.