Climatological features of cutoff low systems in the Southern Hemisphere

Cutoff lows (COLs) pressure systems climatology for the Southern Hemisphere (SH), between 10 degrees S and 50 degrees S, using the National Center for Environmental Prediction-National Center for Atmospheric Research (NCEP-NCAR) and the ERA-40 European Centre for Medium Range Weather Forecast (ECMWF) reanalyses are analyzed for the period 1979-1999. COLs were identified at three pressure levels (200, 300, and 500 hPa) using an objective method that considers the main physical characteristics of the conceptual model of COLs. Independently of the pressure level analyzed, the climatology from the ERA-40 reanalysis has more COLs systems than the NCEP-NCAR. However, both reanalyses present a large frequency of COLs at 300 hPa, followed by 500 and 200 hPa. The seasonality of COLs differs at each pressure level, but it is similar between the reanalyses. COLs are more frequent during summer, autumn, and winter at 200, 300, and 500 hPa, respectively. At these levels, they tend to occur around the continents, preferentially from southeastern Australia to New Zealand, the south of South America, and the south of Africa. To study the COLs at 200 and 300 hPa from a regional perspective, the SH was divided in three regions: Australia-New Zealand (60 E-130 W), South America (130 degrees W-20 degrees W), and southern Africa (20 degrees W-60 degrees E). The common COLs features in these sectors for both reanalyses are a short lifetime (similar to 80.0% and similar to 70.0% of COLs at 200 and 300 hPa, respectively, persisting for up to 3 days), mobility (similar to 70.0% and similar to 50% of COLs at 200 and 300 hPa, respectively, traveling distances of up to 1200 km), and an eastward propagation.

Predicting spectral features in galaxy spectra from broad-band photometry

We explore the prospects of predicting emission-line features present in galaxy spectra given broad-band photometry alone. There is a general consent that colours, and spectral features, most notably the 4000 angstrom break, can predict many properties of galaxies, including star formation rates and hence they could infer some of the line properties. We argue that these techniques have great prospects in helping us understand line emission in extragalactic objects and might speed up future galaxy redshift surveys if they are to target emission-line objects only. We use two independent methods, Artificial Neural Networks (based on the ANNz code) and Locally Weighted Regression (LWR), to retrieve correlations present in the colour N-dimensional space and to predict the equivalent widths present in the corresponding spectra. We also investigate how well it is possible to separate galaxies with and without lines from broad-band photometry only. We find, unsurprisingly, that recombination lines can be well predicted by galaxy colours. However, among collisional lines some can and some cannot be predicted well from galaxy colours alone, without any further redshift information. We also use our techniques to estimate how much information contained in spectral diagnostic diagrams can be recovered from broad-band photometry alone. We find that it is possible to classify active galactic nuclei and star formation objects relatively well using colours only. We suggest that this technique could be used to considerably improve redshift surveys such as the upcoming Fibre Multi Object Spectrograph (FMOS) survey and the planned Wide Field Multi Object Spectrograph (WFMOS) survey.

Successional stage and geographic features determine floristic similarity among Atlantic Forest remnants, Sao Paulo State, Brazil

Analysis of floristic similarity relationships between plant communities can detect patterns of species occurrence and also explain conditioning factors. Searching for such patterns, floristic similarity relationships among Atlantic Forest sites situated at Ibiuna Plateau, Sao Paulo state, Brazil, were analyzed by multivariate techniques. Twenty one forest fragments and six sites within a continuous Forest Reserve were included in the analyses. Floristic composition and structure of the tree community (minimum dbh 5 cm) were assessed using the point centered quarter method. Two methods were used for multivariate analysis: Detrended Correspondence Analysis (DCA) and Two-Way Indicator Species Analysis (TWINSPAN). Similarity relationships among the study areas were based on the successional stage of the community and also on spatial proximity. The more similar the successional stage of the communities, the higher the floristic similarity between them, especially if the communities are geographically close. A floristic gradient from north to south was observed, suggesting a transition between biomes, since northern indicator species are mostly heliophytes, occurring also in cerrado vegetation and seasonal semideciduous forest, while southern indicator species are mostly typical ombrophilous and climax species from typical dense evergreen Atlantic Forest.

Genotyping, physiological features and proteolytic activities of a potentially pathogenic Acanthamoeba sp isolated from tap water in Brazil

Acanthamoeba spp., known to cause keratitis and granulomatous encephalitis in humans, are frequently isolated from a variety of water sources. Here we report for the first time the characterization of an Acanthamoeba sp. (ACC01) isolated from tap water in Brazil. This organism is currently being maintained in an axenic growth medium. Phylogenetic analysis based on SSU rRNA gene sequences positioned the new isolate in genotype T4, closest to the keratitis-causing isolate, A. polyphaga ATCC 30461 (similar to 99% similarity). Acanthamoeba ACC01 and A. polyphaga 30461 both grew at 37 degrees C and were osmotically resistant, multiplying in hyperosmolar medium. Both isolates secreted comparable amounts of proteolytic enzymes, including serine peptidases that were optimally active at a near neutral/alkaline pH and resolved identically in gelatin gels. Incubation of gels at pH 4.0 with 2 mM DTT also indicated the secretion of similar cysteine peptidases. Altogether, the results point to the pathogenic potential of Acanthamoeba ACC01. (C) 2009 Elsevier Inc. All rights reserved.

Beyond the average: Detecting global singular nodes from local features in complex networks

Deviations from the average can provide valuable insights about the organization of natural systems. The present article extends this important principle to the systematic identification and analysis of singular motifs in complex networks. Six measurements quantifying different and complementary features of the connectivity around each node of a network were calculated, and multivariate statistical methods applied to identify singular nodes. The potential of the presented concepts and methodology was illustrated with respect to different types of complex real-world networks, namely the US air transportation network, the protein-protein interactions of the yeast Saccharomyces cerevisiae and the Roget thesaurus networks. The obtained singular motifs possessed unique functional roles in the networks. Three classic theoretical network models were also investigated, with the Barabasi-Albert model resulting in singular motifs corresponding to hubs, confirming the potential of the approach. Interestingly, the number of different types of singular node motifs as well as the number of their instances were found to be considerably higher in the real-world networks than in any of the benchmark networks. Copyright (C) EPLA, 2009

Spectroscopic features of erbium-doped CaM2O6 (M = Nb, Ta) single crystal fibers grown by the laser-heated pedestal growth technique

Erbium-doped single crystal fibers, with low phonon energy and fairly high absorption and emission cross sections are interesting laser active media, for compact, near-infrared and/or upconversion lasers. In this work, high optical quality Er3+-doped CaNb2O6 and CaTa2O6 single crystal fibers were successfully grown by the versatile laser-heated pedestal growth technique, and characterized from the structural and spectroscopic points of view. The results indicate that these crystal fiber compositions, which had not been explored so far, offer potential applications, not only as laser active media, but also in other optical devices. (c) 2007 Elsevier B.V. All rights reserved.

Intermolecular Contacts Influencing the Conformational and Geometric Features of the Pharmaceutically Preferred Mebendazole Polymorph C

Mebendazole (MBZ) is a common benzimidazole anthelmintic that exists in three different polymorphic forms, A, B, and C. Polymorph C is the pharmaceutically preferred form due to its adequated aqueous solubility. No single crystal structure determinations depicting the nature of the crystal packing and molecular conformation and geometry have been performed on this compound. The crystal structure of mebendazole form C is resolved for the first time. Mebendazole form C crystallizes in the triclinic centrosymmetric space group and this drug is practically planar, since the least-squares methyl benzimidazolylcarbamate plane is much fitted on the forming atoms. However, the benzoyl group is twisted by 31(1)degrees from the benzimidazole ring, likewise the torsional angle between the benzene and carbonyl moieties is 27(1)degrees. The formerly described bends and other interesting intramolecular geometry features were viewed as consequence of the intermolecular contacts occurring within mebendazole C structure. Among these features, a conjugation decreasing through the imine nitrogen atom of the benzimidazole core and a further resonance path crossing the carbamate one were described. At last, the X-ray powder diffractogram of a form C rich mebendazole mixture was overlaid to the calculated one with the mebendazole crystal structure. (C) 2008 Wiley-Liss, Inc. and the American Pharmacists Association J Pharm Sci 98:2336-2344, 2009

Resilience of protein-protein interaction networks as determined by their large-scale topological features

The relationship between the structure and function of biological networks constitutes a fundamental issue in systems biology. Particularly, the structure of protein-protein interaction networks is related to important biological functions. In this work, we investigated how such a resilience is determined by the large scale features of the respective networks. Four species are taken into account, namely yeast Saccharomyces cerevisiae, worm Caenorhabditis elegans, fly Drosophila melanogaster and Homo sapiens. We adopted two entropy-related measurements (degree entropy and dynamic entropy) in order to quantify the overall degree of robustness of these networks. We verified that while they exhibit similar structural variations under random node removal, they differ significantly when subjected to intentional attacks (hub removal). As a matter of fact, more complex species tended to exhibit more robust networks. More specifically, we quantified how six important measurements of the networks topology (namely clustering coefficient, average degree of neighbors, average shortest path length, diameter, assortativity coefficient, and slope of the power law degree distribution) correlated with the two entropy measurements. Our results revealed that the fraction of hubs and the average neighbor degree contribute significantly for the resilience of networks. In addition, the topological analysis of the removed hubs indicated that the presence of alternative paths between the proteins connected to hubs tend to reinforce resilience. The performed analysis helps to understand how resilience is underlain in networks and can be applied to the development of protein network models.

Road Sign Recognition based onInvariant Features using SupportVector Machine

Since last two decades researches have been working on developing systems that can assistsdrivers in the best way possible and make driving safe. Computer vision has played a crucialpart in design of these systems. With the introduction of vision techniques variousautonomous and robust real-time traffic automation systems have been designed such asTraffic monitoring, Traffic related parameter estimation and intelligent vehicles. Among theseautomatic detection and recognition of road signs has became an interesting research topic.The system can assist drivers about signs they don’t recognize before passing them.Aim of this research project is to present an Intelligent Road Sign Recognition System basedon state-of-the-art technique, the Support Vector Machine. The project is an extension to thework done at ITS research Platform at Dalarna University [25]. Focus of this research work ison the recognition of road signs under analysis. When classifying an image its location, sizeand orientation in the image plane are its irrelevant features and one way to get rid of thisambiguity is to extract those features which are invariant under the above mentionedtransformation. These invariant features are then used in Support Vector Machine forclassification. Support Vector Machine is a supervised learning machine that solves problemin higher dimension with the help of Kernel functions and is best know for classificationproblems.

Testing common nonlinear features in vector nonlinear autoregressive models

This paper studies a special class of vector smooth-transition autoregressive (VSTAR) models that contains common nonlinear features (CNFs), for which we proposed a triangular representation and developed a procedure of testing CNFs in a VSTAR model. We first test a unit root against a stable STAR process for each individual time series and then examine whether CNFs exist in the system by Lagrange Multiplier (LM) test if unit root is rejected in the first step. The LM test has standard Chi-squared asymptotic distribution. The critical values of our unit root tests and small-sample properties of the F form of our LM test are studied by Monte Carlo simulations. We illustrate how to test and model CNFs using the monthly growth of consumption and income data of United States (1985:1 to 2011:11).

Residual-based Inference for Common Nonlinear Features

This paper investigates common nonlinear features in multivariate nonlinear autore-gressive models via testing the estimated residuals. A Wald-type test is proposed and itis asymptotically Chi-squared distributed. Simulation studies are given to examine thefinite-sample properties of the proposed test.

Common Features in Vector Nonlinear Time Series Models

This thesis consists of four manuscripts in the area of nonlinear time series econometrics on topics of testing, modeling and forecasting nonlinear common features. The aim of this thesis is to develop new econometric contributions for hypothesis testing and forecasting in these area. Both stationary and nonstationary time series are concerned. A definition of common features is proposed in an appropriate way to each class. Based on the definition, a vector nonlinear time series model with common features is set up for testing for common features. The proposed models are available for forecasting as well after being well specified. The first paper addresses a testing procedure on nonstationary time series. A class of nonlinear cointegration, smooth-transition (ST) cointegration, is examined. The ST cointegration nests the previously developed linear and threshold cointegration. An Ftypetest for examining the ST cointegration is derived when stationary transition variables are imposed rather than nonstationary variables. Later ones drive the test standard, while the former ones make the test nonstandard. This has important implications for empirical work. It is crucial to distinguish between the cases with stationary and nonstationary transition variables so that the correct test can be used. The second and the fourth papers develop testing approaches for stationary time series. In particular, the vector ST autoregressive (VSTAR) model is extended to allow for common nonlinear features (CNFs). These two papers propose a modeling procedure and derive tests for the presence of CNFs. Including model specification using the testing contributions above, the third paper considers forecasting with vector nonlinear time series models and extends the procedures available for univariate nonlinear models. The VSTAR model with CNFs and the ST cointegration model in the previous papers are exemplified in detail,and thereafter illustrated within two corresponding macroeconomic data sets.

Benchmark Evaluation of HOG Descriptors as Features for Classification of Traffic Signs

The purpose of this paper is to analyze the performance of the Histograms of Oriented Gradients (HOG) as descriptors for traffic signs recognition. The test dataset consists of speed limit traffic signs because of their high inter-class similarities.   HOG features of speed limit signs, which were extracted from different traffic scenes, were computed and a Gentle AdaBoost classifier was invoked to evaluate the different features. The performance of HOG was tested with a dataset consisting of 1727 Swedish speed signs images. Different numbers of HOG features per descriptor, ranging from 36 features up 396 features, were computed for each traffic sign in the benchmark testing. The results show that HOG features perform high classification rate as the Gentle AdaBoost classification rate was 99.42%, and they are suitable to real time traffic sign recognition. However, it is found that changing the number of orientation bins has insignificant effect on the classification rate. In addition to this, HOG descriptors are not robust with respect to sign orientation.

Professional and Non-Professional Written Travel Texts – Do They Have Common Features? : A Comparative Investigation on Travel Texts on Trysil, Norway

This study aims to investigate possible distinctions between professional and non-professional written travel texts all treating the same destination: the Norwegian ski resort Trysil. The study will investigate to what extent the different texts correlate with the genre of travel texts, as the travel texts are treated as personal narratives, and how they conform to a given structure for narratives and with guidelines for professional writers. Furthermore, the investigation aims to explore to what extent there are similarities and differences between the texts regarding the given structure. The texts will first be analysed and organized separately by macrorules and a news schema that are constructed specifically for these sorts of texts, in order to reveal their discourse structure, and then compared to each other. As the discourse structure of the different texts is revealed, it is seen that there are certain differences between the two different text types. Finally, seen that the text types differ in their structure, this study will show that despite the fact that journalists write stories, and that non-professional written stories are narratives, they do not share the same structure, and are constructed in different ways.

Incidência de infecção por Legionella pneumophila em pacientes que internaram no HCPA com pneumonia adquirida na comunidade

Introdução: O diagnóstico microbiológico da infecção por Legionella é complexo, pois a bactéria não é visualizada à coloração de Gram no escarro, e sua cultura não é realizada na maioria dos laboratórios clínicos. A imunofluorescência direta nas secreções respiratórias tem baixa sensibilidade, em torno de 40% e a técnica da “PCR” não é ainda recomendada para o diagnóstico clínico (CDC, 1997). A detecção de anticorpos no soro é a técnica mais utilizada, e o critério definitivo é a soroconversão para no mínimo 1:128, cuja sensibilidade é de 70 a 80% (Edelstein, 1993). Como critérios diagnósticos de possível pneumonia por Legionella, eram utilizados: título único de anticorpos a L pneumophila positivo na diluição 1:256, em paciente com quadro clínico compatível (CDC, 1990) e o achado de antígeno a Legionella na urina (WHO, 1990). Nos últimos anos, porém, com o uso crescente do teste de antigenúria, foram detectados casos de pneumonia por Legionella, que não eram diagnosticados por cultura ou sorologia, tornando-o método diagnóstico de certeza para o diagnóstico de pneumonia por Legionella (CDC, 1997). Por sua fácil execução, resultado imediato, e alta sensibilidade - de 86% a 98% (Kashuba & Ballow, 1986; Harrison & Doshi, 2001), tem sido recomendado para o diagnóstico das PAC que necessitam internação hospitalar (Mulazimoglu & Yu, 2001; Gupta et al., 2001; Marrie, 2001), especialmente em UTI (ATS, 2001). Vários estudos documentaram baixo valor preditivo positivo do título único positivo de 1:256, tornando-o sem valor para o diagnóstico da pneumonia por Legionella, exceto, talvez, em surtos (Plouffe et al., 1995). Outros detectaram alta prevalência de anticorpos positivos na diluição 1:256 na população, em pessoas normais (Wilkinson et al., 1983; Nichol et al., 1991). A partir de 1996, o CDC de Atlanta recomendou que não seja mais utilizado o critério de caso provável de infecção por Legionella pneumophila por título único de fase convalescente ≥1:256, por falta de especificidade(CDC, 1997). A pneumonia por Legionella é raramente diagnosticada, e sua incidência é subestimada. Em estudos de PAC, a incidência da pneumonia por Legionella nos EUA, Europa, Israel e Austrália, foi estimada entre 1% a 16% (Muder & Yu, 2000). Nos EUA, foi estimado que cerca de 8 000 a 23 000 casos de PAC por Legionella ocorrem anualmente, em pacientes que requerem hospitalização (Marston et al., 1994 e 1977). No Brasil, a incidência de PAC causadas por Legionella em pacientes hospitalizados é tema de investigação pertinente, ainda não relatado na literatura. Objetivo: detectar a incidência de pneumonias causadas por Legionella pneumophila sorogrupos 1 a 6, em pacientes que internaram no Hospital de Clínicas de Porto Alegre por PAC, por um ano. Material e Métodos: o delineamento escolhido foi um estudo de coorte (de incidência), constituída por casos consecutivos de pneumonia adquirida na comunidade que internaram no HCPA de 19 de julho de 2000 a 18 de julho de 2001. Para a identificação dos casos, foram examinados diariamente o registro computadorizado das internações hospitalares, exceto as internações da pediatria e da obstetrícia, sendo selecionados todos os pacientes internados com o diagnóstico de pneumonia e de insuficiência respiratória aguda. Foram excluídos aqueles com menos de 18 anos ou mais de 80 anos; os procedentes de instituições, HIV-positivos, gestantes, pacientes restritos ao leito; e portadores de doença estrutural pulmonar ou traqueostomias. Foram excluídos os pacientes que tivessem tido alta hospitalar nos últimos 15 dias, e aqueles já incluídos no decorrer do estudo. Os pacientes selecionados foram examinados por um pesquisador, e incluídos para estudo se apresentassem infiltrado ao RX de tórax compatível com pneumonia, associado a pelo menos um dos sintomas respiratórios maiores (temperatura axilar > 37,8ºC, tosse ou escarro; ou dois sintomas menores (pleurisia, dispnéia, alteração do estado mental, sinais de consolidação à ausculta pulmonar, mais de 12 000 leucócitos/mm3). O estudo foi previamente aprovado pela Comissão de Ética em Pesquisa do HCPA. Os pacientes eram entrevistados por um pesquisador, dando seu consentimento por escrito, e então seus dados clínicos e laboratoriais eram registrados em protocolo individual. Não houve interferência do pesquisador, durante a internação, exceto pela coleta de urina e de sangue para exame laboratoriais específicos da pesquisa. Os pacientes eram agendados, no ambulatório de pesquisa, num prazo de 4 a 12 semanas após sua inclusão no estudo, quando realizavam nova coleta de sangue, RX de tórax de controle, e outros exames que se fizessem necessários para esclarecimento diagnóstico.Todos os pacientes foram acompanhados por 1 ano, após sua inclusão no estudo.Foram utilizadas a técnica de imunofluorescência indireta para detecção de anticorpos das classes IgG, IgM e IgA a Legionella pneumophila sorogrupos 1 a 6 no soro, em duas amostras, colhidas, respectivamente, na 1ª semana de internação e depois de 4 a 12 semanas; e a técnica imunológica por teste ELISA para a detecção do antígeno de Legionella pneumophila sorogrupo 1 na urina, colhida na primeira semana de internação. As urinas eram armazenadas, imediatamente após sua coleta, em freezer a –70ºC, e depois descongeladas e processadas em grupos de cerca de 20 amostras. A imunofluorescência foi feita no laboratório de doenças Infecciosas da Universidade de Louisville (KY, EUA), em amostras de soro da fase aguda e convalescente, a partir da diluição 1:8; e a detecção do antígeno de Legionella pneumophila sorogrupo 1, nas amostras de urina, foi realizada no laboratório de pesquisa do HCPA, pelos investigadores, utilizando um kit comercial de teste ELISA fabricado por Binax (Binax Legionella Urinary Enzyme Assay, Raritan, EUA). As urinas positivas eram recongeladas novamente, para serem enviadas para confirmação no mesmo laboratório americano, ao fim do estudo. Foram adotados como critérios definitivos de infecção por Legionella pneumophila sorogrupos 1 a 6, a soroconversão (elevação de 4 vezes no título de anticorpos séricos entre o soro da fase aguda e da fase convalescente para no mínimo 1:128); ou o achado de antígeno de L pneumophila sorogrupo 1 na urina não concentrada, numa razão superior a 3, conforme instruções do fabricante e da literatura.Os pacientes foram classificados, de acordo com suas características clínicas, em 1º) portadores de doenças crônicas (doenças pulmonares, cardíacas, diabete mellitus, hepatopatias e insuficiência renal); 2º) portadores de doenças subjacentes com imunossupressão; 3º) pacientes hígidos ou com outras doenças que não determinassem insuficiência orgânica. Imunossupressão foi definida como esplenectomia, ser portador de neoplasia hematológica, portador de doença auto-imune, ou de transplante; ou uso de medicação imunossupressora nas 4 semanas anteriores ao diagnóstico (Yu et al., 2002b); ou uso de prednisolona 10 mg/dia ou equivalente nos últimos 3 meses (Lim et al., 2001). As características clínicas e laboratoriais dos pacientes que evoluíram ao óbito por pneumonia foram comparados àquelas dos pacientes que obtiveram cura. Para a análise das variáveis categóricas, utilizou-se o teste qui-quadrado de Pearson ou teste exato de Fisher. Para as variáveis numéricas contínuas, utilizou-se o teste “t“ de Student. Um valor de p< 0,05 foi considerado como resultado estatisticamente significativo (programas SPSS, versão 10). Foi calculada a freqüência de mortes por pneumonia na população estudada, adotando-se a alta hospitalar como critério de cura. Foi calculada a incidência cumulativa para pneumonia por Legionella pneumophila sorogrupos 1 a 6, em um hospital geral, no período de 1 ano. Resultados: durante um ano de estudo foram examinados 645 registros de internação, nos quais constavam, como motivo de baixa hospitalar, o diagnóstico de pneumonia ou de insuficiência respiratória aguda; a maioria desses diagnósticos iniciais não foram confirmados. Desses 645 pacientes, foram incluídos no estudo 82 pacientes, nos quais os critérios clínicos ou radiológicos de pneumonia foram confirmados pelos pesquisadores. Durante o acompanhamento desses pacientes, porém, foram excluídos 23 pacientes por apresentarem outras patologias que mimetizavam pneumonia: DPOC agudizado (5), insuficiência cardíaca (3), tuberculose pulmonar (2), colagenose (1), fibrose pulmonar idiopática (1), edema pulmonar em paciente com cirrose (1), somente infecçâo respiratória em paciente com sequelas pulmonares (4); ou por apresentarem critérios de exclusão: bronquiectasias (4), HIV positivo (1), pneumatocele prévia (1). Ao final, foram estudados 59 pacientes com pneumonia adquirida na comunidade, sendo 20 do sexo feminino e 39 do sexo masculino, com idade entre 24 e 80 anos (média de 57,6 anos e desvio padrão de ±10,6). Tivemos 36 pacientes com doenças subjacentes classificadas como “doenças crônicas”, dos quais 18 pacientes apresentavam mais de uma co-morbidade, por ordem de prevalência: doenças pulmonares, cardíacas, diabete mellitus, hepatopatias e insuficiência renal; neoplasias ocorreram em 9 pacientes, sendo sólidas em 7 pacientes e hematológicas em 2. Dos 59 pacientes, 61% eram tabagistas e 16,9%, alcoolistas. Do total, 10 pacientes apresentavam imunossupressão. Dos demais 13 pacientes, somente um era previamente hígido, enquanto os outros apresentavam tabagismo, sinusite, anemia, HAS, gota, ou arterite de Takayasu. A apresentação radiológica inicial foi broncopneumonia em 59,3% dos casos; pneumonia alveolar ocorreu em 23,7% dos casos, enquanto ambos padrões ocorreram em 15,2% dos pacientes. Pneumonia intersticial ocorreu em somente um caso, enquanto broncopneumonia obstrutiva ocorreu em 5 pacientes (8,5%). Derrame pleural ocorreu em 22% dos casos, e em 21 pacientes (35%) houve comprometimento de mais de um lobo ao RX de tórax. Foram usados beta-lactâmicos para o tratamento da maioria dos pacientes (72,9%9). A segunda classe de antibióticos mais usados foi a das fluoroquinolonas respiratórias, que foram receitadas para 23 pacientes (39,0%), e em 3º lugar, os macrolídeos, usados por 11 pacientes (18,6%). Apenas 16 pacientes não usaram beta-lactâmicos, em sua maioria recebendo quinolonas ou macrolídeos. Dos 43 pacientes que usaram beta-lactâmicos, 25 não usaram nem macrolídeos, nem quinolonas. Em 13 pacientes as fluoroquinolonas respiratórias foram as únicas drogas usadas para o tratamento da pneumonia. Do total, 8 pacientes foram a óbito por pneumonia; em outros 3 pacientes, o óbito foi atribuído a neoplasia em estágio avançado. Dos 48 pacientes que obtiveram cura, 33 (68,7%) estavam vivos após 12 meses. Os resultados da comparação realizada evidenciaram tendência a maior mortalidade no sexo masculino e em pacientes com imunossupressão, porém essa associação não alcançou significância estatística. Os pacientes que usaram somente beta-lactâmicos não apresentaram maior mortalidade do que os pacientes que usaram beta-lactâmicos associados a outras classes de antibióticos ou somente outras classes de antibióticos. Examinando-se os pacientes que utiizaram macrolídeos ou quinolonas em seu regime de tratamento, isoladamente ou combinados a outros antibióticos, observou-se que também não houve diferença dos outros pacientes, quanto à mortalidade. Os pacientes com padrão radiológico de pneumonia alveolar tiveram maior mortalidade, e essa diferença apresentou uma significância limítrofe (p= 0,05). Nossa mortalidade (11,9%) foi similar à de Fang et al. (1990), em estudo clássico de 1991 (13,7%); foi também similar à média de mortalidade das PAC internadas não em UTI (12%), relatada pela ATS, no seu último consenso para o tratamento empírico das PAC (ATS, 2001). Foram detectados 3 pacientes com pneumonia por Legionella pneumophila sorogrupo 1 na população estudada: 2 foram diagnosticados por soroconversão e por antigenúria positiva, e o 3º foi diagnosticado somente pelo critério de antigenúria positiva, tendo sorologia negativa, como alguns autores (McWhinney et al., 2000). Dois pacientes com PAC por Legionella não responderam ao tratamento inicial com beta-lactâmicos, obtendo cura com levofloxacina; o 3º paciente foi tratado somente com betalactâmicos, obtendo cura. Conclusões: A incidência anual de PAC por Legionella pneumophila sorogrupos 1 a 6, no HCPA, foi de 5,1%, que representa a incidência anual de PAC por Legionella pneumophila sorogrupos 1 a 6 em um hospital geral universitário. Comentários e Perspectivas: Há necessidade de se empregar métodos diagnósticos específicos para o diagnóstico das pneumonias por Legionella em nosso meio, como a cultura, a sorologia com detecção de todas as classes de anticorpos, e a detecção do antígeno urinário, pois somente com o uso simultâneo de técnicas complementares pode-se detectar a incidência real de pneumonias causadas tanto por Legionella pneumophila, como por outras espécies. A detecção do antígeno de Legionella na urina é o teste diagnóstico de maior rendimento, sendo recomendado seu uso em todas as PAC que necessitarem internação hospitalar (Mulazimoglu & Yu, 2001; Gupta et al., 2001); em todos os pacientes com PAC que apresentarem fatores de risco potenciais para legionelose (Marrie, 2001); e para o diagnóstico etiológico das pneumonias graves (ATS, 2001). Seu uso é indicado, com unanimidade na literatura, para a pesquisa de legionelose nosocomial e de surtos de legionelose na comunidade.