959 resultados para staffing indicator
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This study aims to provide a passive sampling approach which can be routinely used to investigate polychlorinated biphenyl (PCB) sources in rivers. The approach consists of deploying low density polyethylene (LDPE) strips downstream and upstream of potential PCB sources as well as in their water discharges. Concentrations of indicator PCBs (iPCBs) absorbed in samplers (Cs) from upstream and downstream sites are compared with each other to reveal increases of PCB levels. Cs measured in water discharges are used to determine if released amounts of PCBs are compatible with increases revealed in the river. As water velocity can greatly vary along a river stretch and influences the uptake at each site in a different way, differences in velocity have to be taken into account to correctly interpret Cs. LDPE strips were exposed to velocities between 1.6 and 37 cm s−1 using a channel system built in the field. Relationships between velocity and Cs were established for each iPCB to determine the expected change in Cs due to velocity variations. For PCBs 28 and 52, this change does not exceed a factor 2 for velocity variations in the range from 1.6 to 100 cm s−1 (extrapolated data above 37 cm s−1). For PCBs 101, 138, 153 and 180, this change only exceeds a factor 2 in the case of large velocity variations. The approach was applied in the Swiss river Venoge to first conduct a primary investigation of potential PCB sources and then conduct thorough investigations of two suspected sources.
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El Crucero de Evaluación de Recursos Pelágicos 0209-11 de los BIC’s Humboldt, Olaya y SNP-2 abarcó de Paita a IIo; se colectó 158 muestras de fitoplancton, 126 para análisis semi cuantitativo y 32 para análisis cuantitativos. El promedio de biomasa planctónica fue 1,01 mL.m-3, con núcleos de alta concentración al norte (5–6 y 7-8°S) dentro de las 30 mn. El fitoplancton fue predominante en el 37% del área evaluada con dominancia de Coscinodiscus perforatus, C. excentricus, Actinocyclus sp., Thalassiosira rotula, Pseudonitzschia pungens, Detonula confervacea, Pleurosigma sp. y Ditylum brightwellii, asociadas a especies de fase temprana en sucesión (Chaetoceros spp.). Las mayores concentraciones celulares (500x103 cel.L-1) se localizaron en los perfiles de Atico con abundancia de fitoflagelados y en Paita de diatomeas. Ceratium breve, indicador de AES se localizó al norte de los 8°S y por fuera de las 100 mn; y un pequeño núcleo frente a Huacho y Chancay por el desplazamiento de esa masa de agua. Ceratium praelongum, indicador de ASS presentó un ligero acercamiento en Callao a 30 mn y en San Juan a 60 mn. Protoperidinium obtusum, indicador de ACF amplió su distribución debido a la intensificación de los afloramientos.
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Entre octubre y diciembre 2003 se evaluó el fitoplancton de Puerto Pizarro a Ilo. Se colectó 102 muestras de red y 51 muestras de agua. En el fitoplancton de red se diferenció dos grupos de diatomeas: 1) al norte de Chancay donde especies de afloramiento y neríticas dominaron y se distribuyeron desde la costa hasta 45 mn; 2) al sur de Huacho donde predominaron diatomeas oceánicas. Las mayores concentraciones celulares se localizaron dentro de la franja costera en Paita y Chimbote con valores >3 x106 cel/L destacando Skeletonema costatum. Protoperidinium obtusum, indicador de Aguas Costeras Frías (ACF) se halló de Paita a Ilo. Ceratium breve, indicador de Aguas Ecuatoriales Superficiales (AES) se presentó frente a Puerto Pizarro por fuera de las 60 mn junto con C. praelongum indicador de Aguas Subtropicales Superficiales (ASS), lo que indicaría mezcla de estas aguas.
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Los volúmenes de plancton variaron entre 0,09 y 3,15 mL.m-3, promedio 0,76 mL.m-3. El fitoplancton de red fue predominante sólo en 32% de las muestras dentro de 30 mn. A 10 m de profundidad las concentraciones fluctuaron entre 26 x 103 cel.L-1 en Pisco y 4 930 x 103 cel.L-1 en Callao; la diversidad varió entre 0,54 bits.cel-1 en Chicama y 3,03 bits.cel-1 frente a Pisco. El microplancton presentó las mayores densidades seguido del nanoplancton. Protoperidinium obtusum, indicador de ACF estuvo costero desde Punta Falsa hasta San Juan; en Chicama, Pisco y entre Punta Mendieta-Punta Caballas se distribuyó hasta 40 mn. Ceratium praelongum, indicador de ASS presentó una distribución variada entre Paita y Matarani, alcanzó máximo acercamiento a la costa en Chala.
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Los volúmenes de plancton superficial fluctuaron entre 0,06 y 11,14 mL.m-3 localizados frente a Pisco y Paita, respectivamente, registrando un promedio general de 1,34 mL.m-3. El fitoplancton en superficie predominó en el 31% del área evaluada. El microplancton estuvo caracterizado por diatomeas pequeñas de afloramiento (Chaetoceros sociales, Ch. compressus, Ch. lorenzianus, Skeletonema costatum) y por especies de la fase intermedia de la sucesión (Coscinodiscus perforatus, C. centralis, Thalassionema frauenfeldii, Lithodesmium undulatum). La presencia de especies termófilas también fue representativa encontrándose cerca y lejos de la costa, destacando por su abundancia las diatomeas Planktoniella sol, Proboscia alata f. gracillima y Thalasiothrix longissima. La correlación significativa entre la biomasa planctónica y oxígeno (r=>0,5) sugirió una mayor actividad autotrófica en las zonas norte y sur. El indicador de ACF, Protoperidinium obtusum, presentó una distribución costera con una amplitud máxima hasta las 120 mn al sur de Chicama y Atico y C. praelongum indicador de ASS sólo fue registrado a 70 mn frente a Pucusana.
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La biomasa planctónica en promedio fue 0,36 mL.m-3; el 95% de los volúmenes fue <0,5 mL.m-3, el fitoplancton fue 35% y se caracterizó por el dominio de diatomeas de afloramiento (Skeletonema costatum, Lithodesmium undulatum, Chaetoceros spp., Thalassiosira subtilis y Thalassionema nit schioides) entre Salaverry- Chancay y Pisco-Ilo (30 mn) y abundancia de diatomeas oceánicas y dinoflagelados termófilos (Guinardia striata, G. flaccida, Cerataulina pelagica, Coscinodiscus wailesii, Proboscia spp., Ceratium massiliense, C. tripos v. atlanticum y Goniodoma polyedricum) entre Puerto Pizarro-Chicama y Punta Mendieta–Ilo hasta 120 mn en la zona norte. La distribución de los indicadores biológicos estuvieron acorde a las condiciones ambientales, Protoperidinium obtusum, indicador de Aguas Costeras Frías se registró desde Punta Falsa hasta Ilo (30 mn). Ceratium praelongum y C. incisum, indicadores de Aguas Subtropicales Superficiales se registraron frente a Punta Falsa y San Juan (60 mn) ampliando su distribución en Atico (120 mn). Ceratium breve, indicador de AES estuvo ampliamente distribuido al norte de 10°S (120 mn), con acercamientos a la costa en Puerto Pizarro y Punta Falsa. Messodinium rubrum se registró desde Punta Mendieta hasta Matarani, concentración de 8756x103 cel.L-1.
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Los volúmenes de plancton presentaron un rango entre 0,008 y 5,251 mL.m-3 localizados frente a Punta La Negra y Salaverry, promedio 0,61 mL.m-3. El fitoplancton de red fue muy abundante y predominó en el 52% de las estaciones costeras conformado por especies de afloramiento. A 10 m de profundidad el fitoplancton registró una variación entre 69,32x103 cels.L-1 (San Juan) y 2.439,76x103 cels.L-1 (Chimbote), diversidad (H’) entre 0,05 bits.cel-1 (1 mn de Ilo) y 2,84 bits.cel-1 (7 mn de San Juan), y uniformidad entre 0,02 (Ilo) y 0,921 (San Juan). Las diatomeas Cerataulina pelagica y Chaetoceros spp. fueron las que aportaron las mayores densidades celulares en la zona costera. La distribución de los indicadores biológicos demostraron una relación con las condiciones ambientales, cuando Protoperidinium obtusum, indicador de Aguas Costeras Frías (ACF) se distribuyó desde Paita hasta Mollendo (30 mn), Ceratium breve, indicador de AES fue registrado de manera normal al norte de los 6°S asociado en algunas estaciones a Ceratium praelongum y C. incisum, indicadores de Aguas Subtropicales Superficiales (ASS).
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PURPOSE: Few studies compare the variabilities that characterize environmental (EM) and biological monitoring (BM) data. Indeed, comparing their respective variabilities can help to identify the best strategy for evaluating occupational exposure. The objective of this study is to quantify the biological variability associated with 18 bio-indicators currently used in work environments. METHOD: Intra-individual (BV(intra)), inter-individual (BV(inter)), and total biological variability (BV(total)) were quantified using validated physiologically based toxicokinetic (PBTK) models coupled with Monte Carlo simulations. Two environmental exposure profiles with different levels of variability were considered (GSD of 1.5 and 2.0). RESULTS: PBTK models coupled with Monte Carlo simulations were successfully used to predict the biological variability of biological exposure indicators. The predicted values follow a lognormal distribution, characterized by GSD ranging from 1.1 to 2.3. Our results show that there is a link between biological variability and the half-life of bio-indicators, since BV(intra) and BV(total) both decrease as the biological indicator half-lives increase. BV(intra) is always lower than the variability in the air concentrations. On an individual basis, this means that the variability associated with the measurement of biological indicators is always lower than the variability characterizing airborne levels of contaminants. For a group of workers, BM is less variable than EM for bio-indicators with half-lives longer than 10-15 h. CONCLUSION: The variability data obtained in the present study can be useful in the development of BM strategies for exposure assessment and can be used to calculate the number of samples required for guiding industrial hygienists or medical doctors in decision-making.
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Gene transfer that relies on integrating vectors often suffers from epigenetic or regulatory effects that influence the expression of the therapeutic gene and=or of cellular genes located near the vector integration site in the chromosome. Insulator elements act to block gene activation by enhancers, while chromatin domain boundary or barrier sequences prevent gene-silencing effects. At present, the modes of action of insulator and barriers are poorly understood, and their use in the context of gene therapies remains to be documented. Using combinations of reporter genes coding for indicator fluorescent proteins, we constructed assay systems that allow the quantification of the insulator or barrier activities of genetic elements in individual cells. This presentation will illustrate how these assay systems were used to identify short DNA elements that insulate nearby genes from activation by viral vector elements, and=or that block the propagation of a silent chromatin structure that leads to gene silencing. We will show that some barrier elements do not merely block repressive effects, but that they can act to stabilize and sustain transgene expression. We will illustrate that this may be beneficial when transgenes are introduced into stem or precursor cells using non-viral vectors, where later differentiation may lead to the silencing of the therapeutic gene. We will show that these elements can be used to maintain efficient transgene expression upon the differentiation of murine precursor cells towards myofibers, in a model of cell therapy for muscle dystrophies.
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Plain radiography remains useful for the diagnosis of osteoarthritis, even if it is not always essential. It is moreover poorly correlated with symptoms, as it reflects rather the accumulation of damage then active processes. Similarly, it is a poor indicator of the progression of osteoarthritis. Modem imaging, particularly MRI, has allowed us to understand better the evolving processes, demonstrating a good correlation with symptoms and a better predictive value of clinical course. It has gradually replaced standard radiography in the study because it directly demonstrates sequelae and the active processes in all the structures of the joint. It remains clinically indicated only to exclude an alternative diagnosis or to determine a possible complication of osteoarthritis.
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INTRODUCTION. The assessment of pain in critically ill brain-injured patients is challenging for health professionals. In addition to be unable to self-report, the confused and stereotyped behaviors of these patients are likely to alter their ''normal'' pain responses. Therefore, the pain indicators observed in the general critically ill population may not be appropriate. OBJECTIVES. To identify behavioral and physiological indicators used by clinicians to assess pain in critically ill brain-injured patients who are unable to self-report. METHODS.Amixed-method design was used with the first step being the combination of the results of an integrative literature review with the results of nominal groups of 12 nurses and four physicians. The second step involved a web-based survey to establish content validity. Fourteen experts (clinicians and academics) from three French speaking European countries rated the relevance of each indicator. A content validity index (CVI) was computed for each indicator (I-CVI) and for each category (S-CVI). RESULTS. The first step generated 52 indicators. These indicators were classified into six categories: facial expressions, position/movement, muscle tension, vocalization, compliance with ventilator, and physiological indicators. In the second step, the agreement between raters was high with an Intraclass Correlation Coefficient of 0.88 (95% CI 0.83-0.92). The I-CVIs ranged from 0.07 to 1. Indicators with an I-CVI below 0.5 (n = 12) were not retained, resulting in a final list of 30 indicators. The CVI for this final list was 0.75 with categories ranging from 0.67 (compliance with ventilation) to 0.87 (vocalization). CONCLUSIONS. This process identified specific pain indicators for critically ill braininjured patients. Further evaluation is in progress to test the validity and relevance of these indicators in the clinical setting.
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Biological monitoring of occupational exposure is characterized by important variability, due both to variability in the environment and to biological differences between workers. A quantitative description and understanding of this variability is important for a dependable application of biological monitoring. This work describes this variability,using a toxicokinetic model, for a large range of chemicals for which reference biological reference values exist. A toxicokinetic compartmental model describing both the parent compound and its metabolites was used. For each chemical, compartments were given physiological meaning. Models were elaborated based on physiological, physicochemical, and biochemical data when available, and on half-lives and central compartment concentrations when not available. Fourteen chemicals were studied (arsenic, cadmium, carbon monoxide, chromium, cobalt, ethylbenzene, ethyleneglycol monomethylether, fluorides, lead, mercury, methyl isobutyl ketone, penthachlorophenol, phenol, and toluene), representing 20 biological indicators. Occupational exposures were simulated using Monte Carlo techniques with realistic distributions of both individual physiological parameters and exposure conditions. Resulting biological indicator levels were then analyzed to identify the contribution of environmental and biological variability to total variability. Comparison of predicted biological indicator levels with biological exposure limits showed a high correlation with the model for 19 out of 20 indicators. Variability associated with changes in exposure levels (GSD of 1.5 and 2.0) is shown to be mainly influenced by the kinetics of the biological indicator. Thus, with regard to variability, we can conclude that, for the 14 chemicals modeled, biological monitoring would be preferable to air monitoring. For short half-lives (less than 7 hr), this is very similar to the environmental variability. However, for longer half-lives, estimated variability decreased. [Supplementary materials are available for this article. Go to the publisher's online edition of Journal of Occupational and Environmental Hygiene for the following free supplemental resource: tables detailing the CBTK models for all 14 chemicals and the symbol nomenclature that was used.] [Authors]
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The predictive potential of six selected factors was assessed in 72 patients with primary myelodysplastic syndrome using univariate and multivariate logistic regression analysis of survival at 18 months. Factors were age (above median of 69 years), dysplastic features in the three myeloid bone marrow cell lineages, presence of chromosome defects, all metaphases abnormal, double or complex chromosome defects (C23), and a Bournemouth score of 2, 3, or 4 (B234). In the multivariate approach, B234 and C23 proved to be significantly associated with a reduction in the survival probability. The similarity of the regression coefficients associated with these two factors means that they have about the same weight. Consequently, the model was simplified by counting the number of factors (0, 1, or 2) present in each patient, thus generating a scoring system called the Lausanne-Bournemouth score (LB score). The LB score combines the well-recognized and easy-to-use Bournemouth score (B score) with the chromosome defect complexity, C23 constituting an additional indicator of patient outcome. The predicted risk of death within 18 months calculated from the model is as follows: 7.1% (confidence interval: 1.7-24.8) for patients with an LB score of 0, 60.1% (44.7-73.8) for an LB score of 1, and 96.8% (84.5-99.4) for an LB score of 2. The scoring system presented here has several interesting features. The LB score may improve the predictive value of the B score, as it is able to recognize two prognostic groups in the intermediate risk category of patients with B scores of 2 or 3. It has also the ability to identify two distinct prognostic subclasses among RAEB and possibly CMML patients. In addition to its above-described usefulness in the prognostic evaluation, the LB score may bring new insights into the understanding of evolution patterns in MDS. We used the combination of the B score and chromosome complexity to define four classes which may be considered four possible states of myelodysplasia and which describe two distinct evolutional pathways.
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Objetivo: Determinación de la fuerza de prensión de la mano como indicador de la capacidad funcional y grado de autonomía para actividades cotidianas en personas de la tercera edad. Diseño: Se realizó un estudio observacional de diseño transversal. Emplazamiento: Medio comunitario. Centros cívicos, centros culturales y residencias de la tercera edad de la comarca del Bages (Barcelona). 2 Participantes: Se estudió a 61 personas, 40 mujeres y 21 hombres, con un rango de edad comprendido entre los 65 y 90 años, quienes no presentaban afecciones invalidantes graves. Se solicitó su colaboración y aceptación voluntaria tras informar del objetivo del estudio. Mediciones principales: El grado de autonomía funcional se valoró mediante el test de Barthel y el test de Lawton-Brody, y el riesgo de caída mediante el test de Tinetti. La fuerza muscular máxima voluntaria (FMMV) se determinó mediante el test de prensión de la mano (handgrip). Resultados: Los hombres mostraron una correlación positiva y estadísticamente significativa (p=0.001) entre la fuerza prensil de la mano y el grado de autonomía funcional y el menor riesgo de caída (p=0.037). Dicha correlación no fue observada en las mujeres respecto al grado de autonomía (p=0.232) y fue escasa para el riesgo de caída (p=0.048). Conclusiones: El test de handgrip es una herramienta potencialmente útil para estimar la autonomía funcional e instrumental y el riesgo de caídas, especialmente en varones que sobrepasan los 65 años.