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1.
Animals (Basel) ; 13(21)2023 Oct 30.
Artigo em Inglês | MEDLINE | ID: mdl-37958119

RESUMO

The Iberian wolf (Canis lupus signatus) is recolonizing historical distribution areas after decades of absence. As in other human-dominated landscapes, finding a balance to protect this species by favoring recolonization and mitigating human-wildlife conflicts is a challenge. Since wolves are often generalist opportunistic predators, we studied their diet composition in central Spain to evaluate the consumption of domestic ungulates and provide reliable data that could help local authorities to deal with the current wolf-cattle ranchers conflict and coexistence. Diet composition (% prey occurrence, % prey ingested biomass) was analyzed through the identification of prey hairs present in 671 scats collected between 2017 and 2021. The wolves fed more on wild ungulates (82% occurrence) than domestic ones (18%). Wild boar (Sus scrofa, 44% occurrence) and roe deer (Capreolus capreolus, 35%) were the most consumed prey. The wolves positively selected these two species. The wolves' diets varied between seasons, years, and forest regions, but a diet based on wild ungulates predominated over domestic ones. Food niche breadth showed variations depending on seasons and years. Preserving the availability and diversity of wild ungulates may favor reducing livestock attacks and would be an achievable goal that would help to conserve this species and reduce conservation conflicts.

2.
Cancers (Basel) ; 15(16)2023 Aug 18.
Artigo em Inglês | MEDLINE | ID: mdl-37627191

RESUMO

BACKGROUND: Identifying prostate cancer (PCa) patients with a worse prognosis and a higher risk of biochemical recurrence (BCR) is essential to guide treatment choices. Here, we aimed to identify possible imaging biomarker (perfusion/diffusion + radiomic features) profiles extracted from MRIs that were able to discriminate patients according to their risk or the occurrence of BCR 10 years after diagnosis, as well as to evaluate their predictive value with or without clinical data. METHODS: Patients with localized PCa receiving neoadjuvant androgen deprivation therapy and radiotherapy were retrospectively evaluated. Imaging features were extracted from MRIs for each prostate region or for the whole gland. Univariate and multivariate analyses were conducted. RESULTS: 128 patients (mean [range] age, 71 [50-83] years) were included. Prostate region-wise imaging biomarker profiles mainly composed of radiomic features allowed discriminating risk groups and patients experiencing BCR. Heterogeneity-related radiomic features were increased in patients with worse prognosis and with BCR. Overall, imaging biomarkers profiles retained good predictive ability (AUC values superior to 0.725 in most cases), which generally improved when clinical data were included (particularly evident for the prediction of the BCR, with AUC values ranging from 0.841 to 0.877 for combined models and sensitivity values above 0.960) and when models were built per prostate region vs. the whole gland. CONCLUSIONS: Prostate region-aware imaging profiles enable identification of patients with worse prognosis and with a higher risk of BCR, retaining higher predictive values when combined with clinical variables.

3.
Radiat Oncol J ; 40(3): 192-199, 2022 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-36200308

RESUMO

PURPOSE: Ablative treatment of oligometastases has shown survival benefit with certain tumors, although these effects still are to be demonstrated in prostate cancer. MATERIALS AND METHODS: We analysed the toxicity and clinical control results obtained in patients with bone-only oligometastatic prostate cancer treated with stereotactic ablative radiotherapy (SABR). Retrospective study on patients with metachronous oligoprogression and synchronous de novo bone-only oligometastatic prostate cancer treated with SABR and androgen deprivation therapy. RESULTS: Treatment schedules varied according to location and organs at risk, with biologically equivalent dose (BED) ≥100 Gy. Fifty-five bone lesions (31 patients) were treated and evaluated for toxicity, local control, progression-free survival (PFS), and overall survival (OS). After a 41-month follow-up, there was minimal acute or chronic toxicity and no G3 toxicity. The local control at 3 and 5 years was 100% and 87.1%, respectively. Median PFS and OS were 43 and 98 months, respectively. The best result in PFS was obtained with BED ≥230 Gy, delaying time to the next systemic therapy by 28.5 months. CONCLUSION: The use of SABR in bone oligometastases of prostate cancer is safe with minimal toxicity and excellent results in local control and PFS, delaying the start of the next systemic therapy.

4.
Cancers (Basel) ; 14(4)2022 Feb 21.
Artigo em Inglês | MEDLINE | ID: mdl-35205820

RESUMO

BACKGROUND: Care overburden makes it difficult to perform comprehensive geriatric assessments (CGAs) in oncology settings. We analyzed if screening tools modified radiotherapy in oncogeriatric patients. METHODS: Patients ≥ 65 years, irradiated between December 2020 and March 2021 at the Hospital Provincial de Castellón, completed the frailty G8 and estimated survival Charlson questionnaires. The cohort was stratified between G8 score ≤ 14 (fragile) or >14 (robust); the cutoff point for the Charlson index was established at five. RESULTS: Of 161 patients; 69.4% were male, the median age was 75 years (range 65-91), and the prevailing performance status (PS) was 0-1 (83.1%). Overall, 28.7% of the cohort were frail based on G8 scores, while the estimated survival at 10 years was 2.25% based on the Charlson test. The treatment administered changed up to 21% after frailty analysis. The therapies prescribed were 5.8 times more likely to be modified in frail patients based on the G8 test. In addition, patients ≥ 85 years (p = 0.01), a PS ≥ 2 (p = 0.008), and limited mobility (p = 0.024) were also associated with a potential change. CONCLUSIONS: CGAs remain the optimal assessment tool in oncogeriatry. However, we found that the G8 fragility screening test, which is easier to integrate into patient consultations, is a reliable and efficient aid to rapid decision making.

5.
Eur Urol ; 80(5): 641-649, 2021 11.
Artigo em Inglês | MEDLINE | ID: mdl-34373138

RESUMO

BACKGROUND: Most available prognostic nomograms in metastatic castration-resistant prostate cancer (mCRPC) are derived from datasets not representative of the current treatment landscape. A prognostic nomogram for first-line mCRPC treatment was developed from patients treated in the PREVAIL study. OBJECTIVE: To validate the Armstrong model in the COU-AA-302 trial. DESIGN, SETTING, AND PARTICIPANTS: A post hoc analysis of mCRPC patients treated in the COU-AA-302 trial was carried out (NCT00887198). OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: The Armstrong prognostic model was applied to patients treated in COU-AA-302. A continuous risk score was derived from coefficients from the original model. Time-dependent area under the curve (tAUC) was used to evaluate the overall predictive ability of the model. Patients were categorized according to the number of risk factors present into those at a low (three or fewer risk factors), intermediate (four to six risk factors), and high (seven to ten risk factors) risk. The association with survival was assessed with Cox regression models. Interaction tests were used to assess the impact of treatment arm in each of the prognostic groups. RESULTS AND LIMITATIONS: A total of 1088 patients were analyzed. The risk score was associated with overall survival (OS; tAUC 0.733). Most patients were at a low (49%) or intermediate (41%) risk. Risk category was significantly associated with OS (hazard ratio [HR]: 2.3; 95% confidence interval [CI]: 1.9-2.4; p < 0.001), radiographic progression-free survival (rPFS; HR: 1.7; 95% CI: 1.5-1.8; p < 0.001), and prostate-specific antigen progression-free survival (HR: 1.7; 95% CI: 1.5-1.9; p < 0.001). A significant interaction between risk group and OS (p = 0.007) and rPFS (p = 0.009) was observed. Survival was superior in low-risk patients (HR: 0.73; 95% CI: 0.59-0.89; p = 0.009), but similar in intermediate-risk (HR: 0.97; 95% CI: 0.79-1.21; p = 0.9) and high-risk (HR: 1.35; 95% CI: 0.80-2.28; p = 0.5) patients. Two-year OS rates in abiraterone versus placebo were 82% versus 74% in low-risk, 55% versus 52% in intermediate-risk, and 28% versus 31% in high-risk patients. CONCLUSIONS: We validate the prognostic value of the Armstrong risk model in patients treated with first-line androgen receptor signaling inhibitors. Abiraterone provided a greater benefit in low-risk patients with less aggressive disease. Further research is needed to establish the role of Armstrong risk groups for treatment selection in mCRPC patients. PATIENT SUMMARY: In this report, we validated the Armstrong nomogram in the COU-AA-302 trial population. We found a similar prognostic performance to that of the original model. Good-risk patients received the greatest benefit from abiraterone.


Assuntos
Androstenos/uso terapêutico , Neoplasias de Próstata Resistentes à Castração/tratamento farmacológico , Protocolos de Quimioterapia Combinada Antineoplásica/efeitos adversos , Intervalo Livre de Doença , Humanos , Masculino , Pessoa de Meia-Idade , Prognóstico , Neoplasias de Próstata Resistentes à Castração/mortalidade , Resultado do Tratamento
8.
Nutr Hosp ; 31 Suppl 1: 89-95, 2015 Feb 07.
Artigo em Espanhol | MEDLINE | ID: mdl-25659061

RESUMO

Mastitis is an inflammation of one or several mammal lobes accompanied or not by a mammary gland infection (WHO 2000). The most frequent etiology is infectious, and the highest prevalence period in women is breast-feeding time. The incidence varies from 2 to 33% according to different authors, being more frequent in primiparous women and during the early postpartum weeks. There are other breast inflammatory processes related etiologies, unrelated to breastfeeding, such as neoplasms or trauma to which no reference is made at this time, since the primary objective of this work is focused on infectious etiology which is caused almost exclusively in relation to postpartum and lactation factors.


La mastitis es la inflamación de uno o varios lóbulos de la glándula mamaria acompañada o no de infección1. La etiología más frecuente es la infecciosa y el periodo de mayor prevalencia es durante la lactancia. La incidencia varía del 2 al 33% según los diferentes autores, siendo más frecuente en primíparas y durante las primeras semanas postparto. Existen otros procesos inflamatorios mamarios relacionados con etiologías que no guardan relación con la lactancia, como pueden ser neoplasias o traumatismos a los cuales no vamos a hacer referencia, dado que el objetivo primordial de este trabajo está orientado a la etiología infecciosa y casi exclusivamente en relación con el puerperio y lactancia.


Assuntos
Infecções Bacterianas/tratamento farmacológico , Mastite/tratamento farmacológico , Probióticos/uso terapêutico , Adulto , Infecções Bacterianas/microbiologia , Infecções Bacterianas/prevenção & controle , Aleitamento Materno , Humanos , Lactente , Recém-Nascido , Masculino , Mastite/microbiologia , Mastite/prevenção & controle
9.
Artif Intell Med ; 61(2): 89-96, 2014 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-24813116

RESUMO

OBJECTIVES: The diagnosis of mental disorders is in most cases very difficult because of the high heterogeneity and overlap between associated cognitive impairments. Furthermore, early and individualized diagnosis is crucial. In this paper, we propose a methodology to support the individualized characterization and diagnosis of cognitive impairments. The methodology can also be used as a test platform for existing theories on the causes of the impairments. We use computational cognitive modeling to gather information on the cognitive mechanisms underlying normal and impaired behavior. We then use this information to feed machine-learning algorithms to individually characterize the impairment and to differentiate between normal and impaired behavior. We apply the methodology to the particular case of specific language impairment (SLI) in Spanish-speaking children. METHODS AND MATERIALS: The proposed methodology begins by defining a task in which normal and individuals with impairment present behavioral differences. Next we build a computational cognitive model of that task and individualize it: we build a cognitive model for each participant and optimize its parameter values to fit the behavior of each participant. Finally, we use the optimized parameter values to feed different machine learning algorithms. The methodology was applied to an existing database of 48 Spanish-speaking children (24 normal and 24 SLI children) using clustering techniques for the characterization, and different classifier techniques for the diagnosis. RESULTS: The characterization results show three well-differentiated groups that can be associated with the three main theories on SLI. Using a leave-one-subject-out testing methodology, all the classifiers except the DT produced sensitivity, specificity and area under curve values above 90%, reaching 100% in some cases. CONCLUSIONS: The results show that our methodology is able to find relevant information on the underlying cognitive mechanisms and to use it appropriately to provide better diagnosis than existing techniques. It is also worth noting that the individualized characterization obtained using our methodology could be extremely helpful in designing individualized therapies. Moreover, the proposed methodology could be easily extended to other languages and even to other cognitive impairments not necessarily related to language.


Assuntos
Inteligência Artificial , Transtornos Cognitivos/diagnóstico , Transtornos Cognitivos/epidemiologia , Diagnóstico por Computador/métodos , Transtornos da Linguagem/diagnóstico , Transtornos da Linguagem/epidemiologia , Algoritmos , Diagnóstico Diferencial , Humanos , Modelagem Computacional Específica para o Paciente , Reprodutibilidade dos Testes , Espanha , Estatística como Assunto
10.
Stud Health Technol Inform ; 186: 88-92, 2013.
Artigo em Inglês | MEDLINE | ID: mdl-23542974

RESUMO

Specific Language Impairment (SLI), as many other cognitive deficits, is difficult to diagnose given its heterogeneous profile and its overlap with other impairments. Existing techniques are based on different criteria using behavioral variables on different tasks. In this paper we propose a methodology for the diagnosis of SLI that uses computational cognitive modeling in order to capture the internal mechanisms of the normal and impaired brain. We show that machine learning techniques that use the information of these models perform better than those that only use behavioral variables.


Assuntos
Algoritmos , Inteligência Artificial , Cognição , Sistemas de Apoio a Decisões Clínicas , Diagnóstico por Computador/métodos , Transtornos da Linguagem/diagnóstico , Reconhecimento Automatizado de Padrão/métodos , Criança , Humanos
11.
Clin Transl Oncol ; 12(1): 22-6, 2010 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-20080467

RESUMO

Hypoxia is related to poor prognosis because it is associated to chemo- and radioresistance. During recent years the evolution of imaging methods like PET/CT and MRI has meant the appearance of new perspectives with direct implications in radiation therapy. We discuss previous experiences in staging, planning and in the follow-up process with these techniques for measuring tumour hypoxia.


Assuntos
Hipóxia/metabolismo , Imagem Molecular/métodos , Neoplasias/radioterapia , Neoplasias/terapia , Planejamento da Radioterapia Assistida por Computador/métodos , Animais , Biomarcadores Tumorais/genética , Biomarcadores Tumorais/metabolismo , Fluordesoxiglucose F18 , Humanos , Hipóxia/genética , Imuno-Histoquímica , Neoplasias/diagnóstico , Neoplasias/metabolismo , Tomografia por Emissão de Pósitrons/métodos , Prognóstico , Tomografia Computadorizada por Raios X/métodos
12.
Cancer Res ; 65(24): 11694-703, 2005 Dec 15.
Artigo em Inglês | MEDLINE | ID: mdl-16357181

RESUMO

The development of drug resistance in the treatment of cancer remains a major problem. The hallmark of multidrug resistance is cross-resistance to multiple structurally unrelated compounds. The MDR-1 gene encoding P-glycoprotein mediates one of the most extensively studied mechanisms of drug resistance. Previous studies led to the proposal that two promoters control expression of the MDR-1 gene, and these were designated the upstream and downstream promoters. In the present article, we provide evidence that transcripts originating from the putative upstream promoter of MDR-1 are in fact aberrant transcripts whose expression is regulated by nearby genomic sequences that include a human endogenous retroviral long terminal repeat (LTR). Expression of this LTR occurs in all cells. We show that following drug selection, especially in cases where gene amplification has occurred, MDR-1 transcripts can begin near this retroviral LTR with transcription proceeding in the direction opposite of the usual LTR transcription. Because expression of these aberrant MDR-1 transcripts (AMT) is found primarily in drug-resistant cell lines, we conclude that the development of drug resistance or the attendant drug exposure might have a role in the activation of this phenomenon or the selection of cells expressing AMTs. Demonstration of similar aberrant transcripts in tumor samples obtained from patients with relapsed lymphoma suggests that this phenomenon may also occur clinically.


Assuntos
Antineoplásicos/farmacologia , Resistência a Múltiplos Medicamentos/genética , Resistencia a Medicamentos Antineoplásicos/genética , Genes MDR/genética , Linfoma , Recidiva Local de Neoplasia , Regiões Promotoras Genéticas/genética , Transcrição Gênica , Sequência de Bases , Amplificação de Genes , Regulação Neoplásica da Expressão Gênica , Humanos , Técnicas In Vitro , Linfoma/tratamento farmacológico , Linfoma/genética , Dados de Sequência Molecular , Recidiva Local de Neoplasia/tratamento farmacológico , Recidiva Local de Neoplasia/genética , Sequências Repetidas Terminais , Células Tumorais Cultivadas
13.
Med Oral Patol Oral Cir Bucal ; 10(2): 132-41, 2005.
Artigo em Inglês, Espanhol | MEDLINE | ID: mdl-15735546

RESUMO

AIMS: Currently, an important number of women use HRT to control their hormonal problems during menopause. A large percentage of these have problems at periodontal level. The present study aims at examining the effects that menopause, due to a decline in the synthesis of hormones, mainly of estrogens, can cause on the oral dental health of such women; in particular on the characteristics of the gingiva and periodontium, checking whether characteristics such as gingival recession, pain, tooth mobility and periodontal pocket formation might permit physicians to evaluate the degree of bone loss in menopausal woman. PATIENTS: Menopausal women aged 40 to 58 years of age undergoing hormone replacement therapy that had gingival periodontal disturbances. The total population of the study comprised 210 patients, divided into two groups. One group received HRT administered in patches and the other group did not receive this therapy. METHOD: Gynecologic and odonto-stomatologic protocols were established for data collection. In order to assess the efficacy of the treatment a descriptive statistical study for sociodemographic variables, analysis of variance, McNemar's test and the Stuart-Maxwell test were performed. RESULTS: The mean age of the patients studied was 49.6 years. HRT acts as a protective factor in dental pain and improves tooth mobility and depth of the probing of periodontal pockets. With respect to the variable gingival recession, no significant results were found either for the group not receiving HRT or for the group being treated with patches. CONCLUSIONS: The response to the HR therapy in periodontal disease is probably due to the existence of estrogen receptors localized in the gingiva and in the periodontal ligament.


Assuntos
Estrogênios/uso terapêutico , Terapia de Reposição Hormonal , Menopausa/fisiologia , Doenças Periodontais/tratamento farmacológico , Adulto , Perda do Osso Alveolar/fisiopatologia , Distribuição de Qui-Quadrado , Feminino , Humanos , Pessoa de Meia-Idade , Bolsa Periodontal/tratamento farmacológico , Receptores de Estrogênio/fisiologia , Mobilidade Dentária/tratamento farmacológico
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