A risk-based approach to the analysis of potential climate change effects on fish communities associated to Posidonia oceanica in the Mediterranean.

The Mediterranean is recognized as a climate change hotspot, with ongoing warming anticipated to impact its habitats and their associated fish fauna. Among these habitats, the seagrass Posidonia oceanica stands out as a foundational species, critical for the stability of coastal fish communities. However, our understanding of climate change consequences on P. oceanica associated fish fauna to date remains limited in part due to a lack of long-term data. This study aimed to highlight potential climate change risks to fish species associated with Posidonia, integrating data on species' thermal envelopes with their habitat and depth preferences into a climate change risk index. Specifically, 9 species, including three pipefish and several wrasse species of the genus Symphodus, emerged as being at higher potential risk from climatic change. A historical time series from Palma Bay (Balearic Islands, Spain), spanning 45 years and providing clear evidence of warming, was employed to evaluate trends in species abundance and occurrence in relation to their relative climate risk score. While certain high-risk species like Symphodus cinereus and Diplodus annularis showed an increase in abundance over time, others, such as the pipefish Syngnathus acus, Syngnathus typhle and Nerophis maculatus experienced declines. The absence of observed declines in some high-risk species could be attributed to several factors, such as acclimation, adaptation, or unmet response thresholds. However, this does not rule out the potential for future changes in these species. Factors such as increased nutrient influx due to growing human populations and changes in fishing regulations may also have contributed to the observed trends. These findings underscore the intricate interplay of environmental and anthropogenic factors and accentuate the pressing need for sustained, long-term data acquisition to fathom the implications of climate change on this highly important marine ecosystem.

One-year quality of life among post-hospitalization COVID-19 patients.

Introduction: The long-term effects of SARS-CoV-2 are unclear, as are the factors influencing the evolution. Objective: to assess health-related quality of life 1 year after a hospital admission due to COVID-19 and to identify factors that may influence it. Materials and methods: Retrospective observational study in a tertiary hospital from March 2021 to February 2022. Inclusion criteria: ≥18 years old and admitted for SARS-CoV-2 infection. Exclusion criteria: death, not located, refusal to participate, cognitive impairment, and language barrier. Variables: demographic data, medical history, clinical and analytical outcomes during hospital admission, treatment received, and vaccination against SARS-CoV-2 following admission. Participants were interviewed by phone 1 year after admission, using the SF-36 quality of life questionnaire. Results: There were 486 included patients. The domains yielding the lowest scores were general health (median 65%, interquartile range [IQR] 45-80), vitality (median 65%, IQR 45-80), and mental health (median 73.5%, IQR 60-100). Multivariable analysis showed that female sex and fibromyalgia/fatigue had a negative influence on all domains. Obesity was associated with worse outcomes in physical functioning, physical role, bodily pain, and vitality. Other factors associated with worse scores were an older age in physical functioning and high age-adjusted Charslon comorbidity in physical functioning and general health. Age was associated with better results in emotional role and High C-reactive protein at admission on vitality. Conclusion: One year after admission for COVID-19, quality of life remains affected, especially the domains of general health, vitality, and mental health. Factors associated with worse outcomes are female sex, fibromyalgia/chronic fatigue, and obesity.

Disparate behavioral types in wild and reared juveniles of gilthead seabream.

Fish differ consistently in behavior within the same species and population, reflecting distinct behavioral types (BTs). Comparing the behavior of wild and reared individuals provides an excellent opportunity to delve into the ecological and evolutionary consequences of BTs. In this work, we evaluated the behavioral variation of wild and reared juvenile gilthead seabreams, Sparus aurata, a highly relevant species for aquaculture and fisheries. We quantified behavioral variation along the five major axes of fish behavioral traits (exploration-avoidance, aggressiveness, sociability, shyness-boldness, and activity) using standardized behavioral tests and a deep learning tracking algorithm for behavioral annotation. Results revealed significant repeatability in all five behavior traits, suggesting high consistency of individual behavioral variation across the different axes in this species. We found reared fish to be more aggressive, social and active compared to their wild conspecifics. Reared individuals also presented less variance in their aggressiveness, lacking very aggressive and very tame individuals. Phenotypic correlation decomposition between behavioral types revealed two different behavioral syndromes: exploration-sociability and exploration-activity. Our work establishes the first baseline of repeatability scores in wild and reared gilthead seabreams, providing novel insight into the behavior of this important commercial species with implications for fisheries and aquaculture.

Food determines ephemerous and non-stable gut microbiome communities in juvenile wild and farmed Mediterranean fish.

Novel insights were provided by contrasting the composition of wild and farmed fish gut microbiomes because the latter had essentially different environmental conditions from those in the wild. This was reflected in the gut microbiome of the wild Sparus aurata and Xyrichtys novacula studied here, which showed highly diverse microbial community structures, dominated by Proteobacteria, mostly related to an aerobic or microaerophilic metabolism, but with some common shared major species, such as Ralstonia sp. On the other hand, farmed non-fasted S. aurata individuals had a microbial structure that mirrored the microbial composition of their food source, which was most likely anaerobic, since several members of the genus Lactobacillus, probably revived from the feed and enriched in the gut, dominated the communities. The most striking observation was that after a short fasting period (86 h), farmed gilthead seabream almost lost their whole gut microbiome, and the resident community associated with the mucosa had a very much reduced diversity that was highly dominated by a single potentially aerobic species Micrococcus sp., closely related to M. flavus. The results pointed to the fact that, at least for the juvenile S. aurata studied, most of the microbes in the gut were transient and highly dependent on the feed source, and that only after fasting for at least 2 days could the resident microbiome in the intestinal mucosa be determined. Since an important role of this transient microbiome in relation to fish metabolism could not be discarded, the methodological approach needs to be well designed in order not to bias the results. The results have important implications for fish gut studies that could explain the diversity and occasional contradictory results published in relation to the stability of marine fish gut microbiomes, and might provide important information for feed formulation in the aquaculture industry.

Atmospheric-ocean coupling drives prevailing and synchronic dispersal patterns of marine species with long pelagic durations.

Dispersal shapes population connectivity and plays a critical role in marine metacommunities. Prominent species for coastal socioecological systems, such as jellyfish and spiny lobsters, feature long pelagic dispersal phases (LPDPs), which have long been overlooked. Here, we use a cross-scale approach combining field surveys of these species with a high-resolution hydrodynamic model to decipher the underlying mechanisms of LPDP patterns in northwestern Mediterranean shores. We identified basin-scale prevailing dispersal routes and synchronic year-to-year patterns tightly linked to prominent circulation features typical of marginal seas and semienclosed basins, with an outstanding role of a retentive source area replenishing shores and potentially acting as a pelagic nursery area. We show how the atmospheric forcing of the ocean, a marked hydrological driver of the Mediterranean Sea, modulates dispersal routes and sources of LPDP at interannual scales. These findings represent a crucial advance in our understanding of the functioning of metapopulations of species with LPDP in marginal seas and may contribute to the effective management of coastal ecosystem services in the face of climate change.

Manejo de afectación cutánea y sistémica por Candida auris / Management of cutaneous and systemic involvement by Candida auris

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Corticosteroids for COVID-19 symptoms and quality of life at 1 year from admission.

The long-term evolution of COVID-19 is unknown, making it necessary to study the persistence of symptoms over time and their impact on quality of life in people who have had the disease. We analyzed these aspects 1 year after admission for COVID-19 and explored the influence of treatment with systemic corticosteroids during the acute phase of the illness. This observational cohort study took place in a tertiary hospital in March and April 2021 and included people admitted due to infection with SARS-CoV-2 in March, April, or May 2020. We excluded patients who had died, were unreachable or had substantial cognitive impairment. A telephone survey was undertaken to assess the presence of symptoms related to COVID-19 and to administer the SF-36 quality of life questionnaire. Other variables collected were demographic and clinical data along with the treatment received and the evolution over time. We analyzed 76 patients, including 44 who did not receive corticosteroids and 32 who did. Most symptoms were less frequent in the group that received corticosteroids, with statistically significant differences for headache, dysphagia, chest pain, and depression. These patients also showed significantly better outcomes in the SF-36 domains for "bodily pain" and "mental health." Corticosteroids administered in the acute phase of COVID-19 could attenuate the presence of long-term symptoms and improve patients' quality of life.

Neutropenia secondary to tuberculosis treatment / Neutropenia secundaria al tratamiento de la tuberculosis

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[Prognostic utility of the qSOFA scale in patients admitted to an Internal Medicine service due to infectious diseases]. / Utilidad pronóstica de la escala qSOFA en pacientes ingresados en un servicio de Medicina Interna por enfermedades infecciosas.

BACKGROUND: Sepsis is a serious entity. Diagnosis and early treatment is important for the prognosis. AIM: To analyze the prognostic utility of the qSOFA scale as a predictor of mortality in patients admitted by infection in an Internal Medicine Service and describe its demographic characteristics and possible association with mortalilty. METHODS: Descriptive and cross-sectional study of patients admitted with diagnosis of acute infection at the General Hospital of Castellon (Spain) from November 2017 to February 2018. INCLUSION CRITERIA: patients admitted on suspicion of an infectious process. Main dependent variable: mortality. Independent main variable: qSOFA scale. Secondary variables: time until the first medical evaluation and the start of empirical antibiotic therapy, demographic characteristics of the patient, analytics and evolutional. RESULTS: A total of 311 patients were analyzed, 145 men with an average age of 78 (DE 16,23). Seventy five presented qSOFA ≥ 2. Higher mortality was observed in those patients with qSOFA ≥ 2 (36% vs 11%, p = 0.00). CONCLUSION: In patients admitted with infectious diseases, a qSOFA value > = 2 was associated with higher mortality. Future studies are required to verify its potential diagnostic utility.

Projected effects of ocean warming on an iconic pelagic fish and its fishery.

Increasing sea temperature is a driver of change for many fish traits, particularly for fast-growing epipelagic species with short life spans. With warming, altered spawning phenology and faster growth may produce substantially larger body sizes of the new cohort, affecting fishery productivity. We present an individual-based model (IBM) that predicts the distribution of fish length at catch under observed and projected thermal scenarios, accounting for mortality, temperature-dependent spawning phenology, temperature- and photoperiod- dependent growth. This IBM was demonstrated with Coryphaena hippurus (common dolphinfish), a circumglobally-distributed and highly thermophilic species sustaining commercial and recreational fisheries where it is present. The model projected a 13.2% increase in the average length at catch under marine heatwave conditions compared to the current thermal regime (1995-2005 average). Projections under RCP scenarios 4.5 and 8.5 by the end of the century led to 5.1% and 12.8% increase in average length, respectively. Furthermore, these thermal scenarios affected spawning phenology differently, producing higher variance in body size under RCP 8.5 scenario with respect to marine heatwave conditions. This study highlights how the environmental effects of climate change can alter the distribution of species length at catch.

Utilidad pronóstica de la escala qSOFA en pacientes ingresados en un servicio de Medicina Interna por enfermedades infecciosas / Prognostic utility of the qSOFA scale in patients admitted to an Internal Medicine service due to infectious diseases

INTRODUCCIÓN: La sepsis es una entidad grave siendo su sospecha y tratamiento precoces claves para el pronóstico. OBJETIVO: Analizar la utilidad pronóstica de la escala qSOFA en pacientes que ingresan por infección en un servicio de Medicina Interna. PACIENTES Y MÉTODOS: Estudio descriptivo, tranversal, de los pacientes ingresados con infección en el Hospital General de Castellón (España) de noviembre de 2017 a febrero de 2018. Criterio de inclusión: pacientes admitidos por la sospecha de un proceso infeccioso. Variable principal dependiente: mortalidad. Variable principal independiente: qSOFA. Variables secundarias: tiempo hasta primera valoración médica y hasta inicio de antibioterapia empírica en Urgencias (minutos), características demográficas del paciente, analíticas y evolutivas. RESULTADOS: Se analizó un total de 311 pacientes, 145 varones, edad media 78 años (DE 16,23). Setenta y cinco (24%) presentaron qSOFA ≥ 2. Se observó una mayor mortalidad en aquellos pacientes con qSOFA ≥ 2 (36 vs 11%, p = 0,00). CONCLUSIÓN: En pacientes admitidos con enfermedades infecciosas, un valor de qSOFA > = 2 se asoció a mayor mortalidad. Se requieren futuros estudios para comprobar su potencial utilidad diagnóstica.

BACKGROUND: Sepsis is a serious entity. Diagnosis and early treatment is important for the prognosis. AIM: To analyze the prognostic utility of the qSOFA scale as a predictor of mortality in patients admitted by infection in an Internal Medicine Service and describe its demographic characteristics and possible association with mortalilty. METHODS: Descriptive and cross-sectional study of patients admitted with diagnosis of acute infection at the General Hospital of Castellon (Spain) from November 2017 to February 2018. Inclusion criteria: patients admitted on suspicion of an infectious process. Main dependent variable: mortality. Independent main variable: qSOFA scale. Secondary variables: time until the first medical evaluation and the start of empirical antibiotic therapy, demographic characteristics of the patient, analytics and evolutional. RESULTS: A total of 311 patients were analyzed, 145 men with an average age of 78 (DE 16,23). Seventy five presented qSOFA ≥ 2. Higher mortality was observed in those patients with qSOFA ≥ 2 (36% vs 11%, p = 0.00). CONCLUSION: In patients admitted with infectious diseases, a qSOFA value > = 2 was associated with higher mortality. Future studies are required to verify its potential diagnostic utility.

Predicting Clinical Outcome with Phenotypic Clusters in COVID-19 Pneumonia: An Analysis of 12,066 Hospitalized Patients from the Spanish Registry SEMI-COVID-19.

(1) Background: Different clinical presentations in COVID-19 are described to date, from mild to severe cases. This study aims to identify different clinical phenotypes in COVID-19 pneumonia using cluster analysis and to assess the prognostic impact among identified clusters in such patients. (2) Methods: Cluster analysis including 11 phenotypic variables was performed in a large cohort of 12,066 COVID-19 patients, collected and followed-up from 1 March to 31 July 2020, from the nationwide Spanish Society of Internal Medicine (SEMI)-COVID-19 Registry. (3) Results: Of the total of 12,066 patients included in the study, most were males (7052, 58.5%) and Caucasian (10,635, 89.5%), with a mean age at diagnosis of 67 years (standard deviation (SD) 16). The main pre-admission comorbidities were arterial hypertension (6030, 50%), hyperlipidemia (4741, 39.4%) and diabetes mellitus (2309, 19.2%). The average number of days from COVID-19 symptom onset to hospital admission was 6.7 (SD 7). The triad of fever, cough, and dyspnea was present almost uniformly in all 4 clinical phenotypes identified by clustering. Cluster C1 (8737 patients, 72.4%) was the largest, and comprised patients with the triad alone. Cluster C2 (1196 patients, 9.9%) also presented with ageusia and anosmia; cluster C3 (880 patients, 7.3%) also had arthromyalgia, headache, and sore throat; and cluster C4 (1253 patients, 10.4%) also manifested with diarrhea, vomiting, and abdominal pain. Compared to each other, cluster C1 presented the highest in-hospital mortality (24.1% vs. 4.3% vs. 14.7% vs. 18.6%; p < 0.001). The multivariate study identified age, gender (male), body mass index (BMI), arterial hypertension, chronic obstructive pulmonary disease (COPD), ischemic cardiopathy, chronic heart failure, chronic hepatopathy, Charlson's index, heart rate and respiratory rate upon admission >20 bpm, lower PaO2/FiO2 at admission, higher levels of C-reactive protein (CRP) and lactate dehydrogenase (LDH), and the phenotypic cluster as independent factors for in-hospital death. (4) Conclusions: The present study identified 4 phenotypic clusters in patients with COVID-19 pneumonia, which predicted the in-hospital prognosis of clinical outcomes.

Síndrome cerebeloso secundario a metronidazol / Cerebellar syndrome caused by metronidazole

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