Factores que condicionan el otorgamiento de los instrumentos públicos y su influencia en el desprestigio notarial de la Notaría Torres González, Pacasmayo - 2019

La presente investigación denominada “Factores que condicionan el otorgamiento de los instrumentos públicos y su influencia en el desprestigio notarial de la Notaría Torres González, Pacasmayo – 2019”, tuvo por objetivo general determinar la influencia de los factores que condicionan el otorgamiento de los instrumentos públicos en el desprestigio notarial de la Notaría Torres González de Pacasmayo, 2019. Para lo cual se aplicó una investigación cuantitativa correlacional causal transversal. La población y la muestra estuvo conformada por 44 usuarios constantes de la notaría Torres González de Pacasmayo. La técnica utilizada fue la encuesta y se utilizaron dos cuestionarios con escala tipo Likert, cada uno conformado por 20 preguntas. En los resultados se observó que en cuanto a los factores que condicionan el otorgamiento de instrumentos públicos, el 50.0% de los usuarios perciben un nivel bajo en los factores que condicionan el otorgamiento de instrumentos públicos, el 43.2% obtienen nivel medio, en tanto que el 6.8% perciben nivel alto. Determinándose que los factores que condicionan el otorgamiento de instrumentos públicos de los usuarios de la Notaría Torres González es de nivel medio (50.0%). Asimismo, el 47.7% de los usuarios perciben un nivel bajo sobre el desprestigio notarial, el 40.9% obtienen nivel medio, en tanto que el 11.4% perciben nivel alto. Determinándose que el desprestigio notarial desde la perspectiva de los usuarios de la Notaría Torres González es de nivel bajo (47.7%). Finalmente, se concluye que el coeficiente de correlación de Spearman es Rho = 0.687 (existiendo una moderada relación directa) con nivel de significancia menor al 1% (p < 0.01) la cual quiere decir que los factores que condicionan el otorgamiento de instrumentos públicos influye de manera directa y muy significativa con el desprestigio notarial de la Notaría Torres González de Pacasmayo, 2019, por lo cual se aceptó la hipótesis de investigación

Effectiveness of biological control of Phytophthora capsici in pepper by Trichoderma asperellum strain T34

Pepper (Capsicum annuum L.), one of the most widely grown vegetables worldwide, is susceptible to root rot caused by Phytophthora capsici. Many biocides have recently been banned in Europe because of human health and environmental concerns. Integrated pest management is a European priority, where biological control together with other agronomic practices should replace pesticide management of plant diseases in the future. Application of different concentrations of the fungus Trichoderma asperellum strain T34 (the in T34 Biocontrol®) on incidence of disease caused by P. capsici in pepper was studied. Different methods of application of the microbial control agent and inoculation of the pathogen were examined. T34 and etridiazole (Terrazole®) were compared for their ability to suppress P. capsici. T34 reduced disease in most of the assayed situations (up to 71% disease reduction), while etridiazole was effective only when applied at the same time as the pathogen. The results obtained are discussed on the basis of the different modes of action of T34 and etridiazole. T34 is a useful biological alternative to chemicals for the control of P. capsici in peppe

High-Throughput System for the Early Quantification of Major Architectural Traits in Olive Breeding Trials Using UAV Images and OBIA Techniques

The need for the olive farm modernization have encouraged the research of more efficient crop management strategies through cross-breeding programs to release new olive cultivars more suitable for mechanization and use in intensive orchards, with high quality production and resistance to biotic and abiotic stresses. The advancement of breeding programs are hampered by the lack of efficient phenotyping methods to quickly and accurately acquire crop traits such as morphological attributes (tree vigor and vegetative growth habits), which are key to identify desirable genotypes as early as possible. In this context, an UAV-based high-throughput system for olive breeding program applications was developed to extract tree traits in large-scale phenotyping studies under field conditions. The system consisted of UAV-flight configurations, in terms of flight altitude and image overlaps, and a novel, automatic, and accurate object-based image analysis (OBIA) algorithm based on point clouds, which was evaluated in two experimental trials in the framework of a table olive breeding program, with the aim to determine the earliest date for suitable quantifying of tree architectural traits. Two training systems (intensive and hedgerow) were evaluated at two very early stages of tree growth: 15 and 27 months after planting. Digital Terrain Models (DTMs) were automatically and accurately generated by the algorithm as well as every olive tree identified, independently of the training system and tree age. The architectural traits, specially tree height and crown area, were estimated with high accuracy in the second flight campaign, i.e. 27 months after planting. Differences in the quality of 3D crown reconstruction were found for the growth patterns derived from each training system. These key phenotyping traits could be used in several olive breeding programs, as well as to address some agronomical goals. In addition, this system is cost and time optimized, so that requested architectural traits could be provided in the same day as UAV flights. This high-throughput system may solve the actual bottleneck of plant phenotyping of "linking genotype and phenotype," considered a major challenge for crop research in the 21st century, and bring forward the crucial time of decision making for breeders

Control and prevention of antibiotic residues and contaminants in sheep and goat s milk

[EN] The use of veterinary drugs to treat mastitis and other pathologies in dairy sheep and goats is a usualpractice in current production systems. The risk of antibiotic residues in milk on farms is high if goodfarming practices are not applied, in this sense control measures must be implemented to prevent drugresidues from entering the food chain. Moreover there are other compounds that may contaminate milkvia the environment, water or animal feed, such as mycotoxins that are one of the most harmful contam-inants given their negative effects on consumer health. This work presents the problems that arise whenresidues and contaminants are present in sheep and goat s milk. It also addresses the causes and theconsequences of their presence, and the main measures of prevention and control required to guaranteemilk that is safe for consumers and of high quality for the dairy industry.Berruga Fernandez, MI.; Molina Casanova, AM.; Althaus, RL.; Molina Pons, MP. (2016). Control and prevention of antibiotic residues and contaminants in sheep and goat s milk. Small Ruminant Research. 142:38-43. https://doi.org/10.1016/j.smallrumres.2016.02.023S384314

Un estudio muestra la eficacia de composts de residuos agroindustriales para reducir enfermedades de las plantas

Algunos residuos agroindustriales ya compostados y usados como sustratos pueden presentar supresividad a distintas enfermedades de las plantas. Algunos de estos sustratos son el compost de corcho (usado solo o mezclado con cascarilla de arroz), orujo de uva compostado, alperujo con residuo de desmotadora (2/3, v/v) compostado y posteriormente formulado con cascarilla de arroz (1/1, v/v) y sustrato de champiñón agotado compostado y mezclado con turba (1/1, v/v). Esta supresividad se ha evaluado en ensayos con inoculación artificial de patógenos y posterior evaluación del desarrollo de cada enfermedad, siendo el compost de orujo de uva maduro el que mejores resultados presenta.Ministerio de Ciencia y Tecnología AGL 2002-04313, 2005-08137, 2008-05414 y 2010-21982Junta de Andalucía P06-AGR-0231

Clinical Presentation, Management, and Evolution of Lymphomas in Patients with Inflammatory Bowel Disease: An ENEIDA Registry Study

Inflammatory bowel disease; Lymphoma; ThiopurinesEnfermedad inflamatoria intestinal; Linfoma; TiopurinasMalaltia inflamatòria de l'intestí; Limfoma; TiopurinesAn increased risk of lymphoma has been described in patients with inflammatory bowel disease (IBD). The aims of our study were to determine the clinical presentation, the previous exposure to immunosuppressive and biologic therapies, and the evolution of lymphomas in patients with IBD. IBD patients with diagnosis of lymphoma from October 2006 to June 2021 were identified from the prospectively maintained ENEIDA registry of GETECCU. We identified 52 patients (2.4 cases of lymphoma/1000 patients with IBD; 95% CI 1.8-3.1). Thirty-five were men (67%), 52% had ulcerative colitis, 60% received thiopurines, and 38% an anti-TNF drug before lymphoma diagnosis. Age at lymphoma was lower in those patients treated with thiopurines (53 ± 17 years old) and anti-TNF drugs (47 ± 17) than in those patients not treated with these drugs (63 ± 12; p < 0.05). Five cases had relapse of lymphoma (1.7 cases/100 patient-years). Nine patients (17%) died after 19 months (IQR 0-48 months). Relapse and mortality were not related with the type of IBD or lymphoma, nor with thiopurines or biologic therapies. In conclusion, most IBD patients had been treated with thiopurines and/or anti-TNF agents before lymphoma diagnosis, and these patients were younger at diagnosis of lymphoma than those not treated with these drugs. Relapse and mortality of lymphoma were not related with these therapies

Inoculation of cucumber, melón and zucchini varieties with Tomato leaf curl New Delhi virus (ToLCNDV) and evaluation of infection using different methods

This is the peer reviewed version of the following article: Figás-Moreno, MDR.; Alfaro Fernández, AO.; Font San Ambrosio, MI.; Borràs Palomares, D.; Casanova-Calancha, C.; Hurtado Ricart, M.; Plazas Ávila, MDLO.... (2017). Inoculation of cucumber, melón and zucchini varieties with Tomato leaf curl New Delhi virus (ToLCNDV) and evaluation of infection using different methods. Annals of Applied Biology. 170(3):405-414. doi:10.1111/aab.12344, which has been published in final form at http://doi.org/10.1111/aab.12344. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.[EN] The disease caused by Tomato leaf curl New Delhi virus (ToLCNDV), which is naturally transmitted by the whitefly Bemisia tabaci, causes important economic losses in cucurbit crops. The availability of simple and efficient inoculation protocols and detection methods is necessary for screening varieties and germplasm collections as well as for breeding populations. We evaluated the infectivity of ToLCNDV inocula prepared using three different buffers for mechanical sap inoculation in a susceptible variety of zucchini. We found that inoculum prepared with buffer III, which contains polyvinylpyrrolidone, is highly efficient for mechanical inoculation, with 100% of plants displaying severe symptoms 21 days post-inoculation. Using this buffer, we mechanically inoculated 19 commercial varieties of cucurbit crops (six of cucumber, six of melon and seven of zucchini), evaluated the evolution of symptoms and diagnosed infection using nine different ToLCNDV detection methods (four based on serology, four based on molecular hybridization and one based on PCR detection). The results revealed that all varieties are susceptible, although cucumber varieties display less severe symptoms than those of melon or zucchini. All detection methods were highly efficient (more than 85% of plants testing positive) in melon and zucchini, but in cucumber, the percentage of positive plants detected with serology and molecular hybridization methods ranged from 20.4% with Squash leaf curl virus (SLCV) antiserum, to 78.5% with DNA extract hybridization. Overall, the best detection results were obtained with PCR, with 92.6%, 92.4% and 98.4% cucumber, melon and zucchini plants, respectively, testing positive. When considering the overall results in the three crops, the best serology and molecular hybridization methods were those using Watermelon chlorotic stunt virus (WmCSV) antiserum and DNA extract, respectively. The inoculation methodology developed and the information on detection methods are of great relevance for the selection and breeding of varieties of cucurbit crops that are tolerant or resistant to ToLCNDV.Figás-Moreno, MDR.; Alfaro Fernández, AO.; Font San Ambrosio, MI.; Borràs Palomares, D.; Casanova-Calancha, C.; Hurtado Ricart, M.; Plazas Ávila, MDLO.... (2017). Inoculation of cucumber, melón and zucchini varieties with Tomato leaf curl New Delhi virus (ToLCNDV) and evaluation of infection using different methods. Annals of Applied Biology. 170(3):405-414. doi:10.1111/aab.12344S405414170

Robust Resolution-Enhanced Prostate Segmentation in Magnetic Resonance and Ultrasound Images through Convolutional Neural Networks

[EN] Prostate segmentations are required for an ever-increasing number of medical applications, such as image-based lesion detection, fusion-guided biopsy and focal therapies. However, obtaining accurate segmentations is laborious, requires expertise and, even then, the inter-observer variability remains high. In this paper, a robust, accurate and generalizable model for Magnetic Resonance (MR) and three-dimensional (3D) Ultrasound (US) prostate image segmentation is proposed. It uses a densenet-resnet-based Convolutional Neural Network (CNN) combined with techniques such as deep supervision, checkpoint ensembling and Neural Resolution Enhancement. The MR prostate segmentation model was trained with five challenging and heterogeneous MR prostate datasets (and two US datasets), with segmentations from many different experts with varying segmentation criteria. The model achieves a consistently strong performance in all datasets independently (mean Dice Similarity Coefficient -DSC- above 0.91 for all datasets except for one), outperforming the inter-expert variability significantly in MR (mean DSC of 0.9099 vs. 0.8794). When evaluated on the publicly available Promise12 challenge dataset, it attains a similar performance to the best entries. In summary, the model has the potential of having a significant impact on current prostate procedures, undercutting, and even eliminating, the need of manual segmentations through improvements in terms of robustness, generalizability and output resolutionThis work has been partially supported by a doctoral grant of the Spanish Ministry of Innovation and Science, with reference FPU17/01993Pellicer-Valero, OJ.; González-Pérez, V.; Casanova Ramón-Borja, JL.; Martín García, I.; Barrios Benito, M.; Pelechano Gómez, P.; Rubio-Briones, J.... (2021). Robust Resolution-Enhanced Prostate Segmentation in Magnetic Resonance and Ultrasound Images through Convolutional Neural Networks. Applied Sciences. 11(2):1-17. https://doi.org/10.3390/app11020844S117112Marra, G., Ploussard, G., Futterer, J., & Valerio, M. (2019). Controversies in MR targeted biopsy: alone or combined, cognitive versus software-based fusion, transrectal versus transperineal approach? World Journal of Urology, 37(2), 277-287. doi:10.1007/s00345-018-02622-5Ahdoot, M., Lebastchi, A. H., Turkbey, B., Wood, B., & Pinto, P. A. (2019). Contemporary treatments in prostate cancer focal therapy. Current Opinion in Oncology, 31(3), 200-206. doi:10.1097/cco.0000000000000515Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2017). ImageNet classification with deep convolutional neural networks. Communications of the ACM, 60(6), 84-90. doi:10.1145/3065386Allen, P. D., Graham, J., Williamson, D. C., & Hutchinson, C. E. (s. f.). Differential Segmentation of the Prostate in MR Images Using Combined 3D Shape Modelling and Voxel Classification. 3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano, 2006. doi:10.1109/isbi.2006.1624940Freedman, D., Radke, R. J., Tao Zhang, Yongwon Jeong, Lovelock, D. M., & Chen, G. T. Y. (2005). Model-based segmentation of medical imagery by matching distributions. IEEE Transactions on Medical Imaging, 24(3), 281-292. doi:10.1109/tmi.2004.841228Klein, S., van der Heide, U. A., Lips, I. M., van Vulpen, M., Staring, M., & Pluim, J. P. W. (2008). Automatic segmentation of the prostate in 3D MR images by atlas matching using localized mutual information. Medical Physics, 35(4), 1407-1417. doi:10.1118/1.2842076Ronneberger, O., Fischer, P., & Brox, T. (2015). U-Net: Convolutional Networks for Biomedical Image Segmentation. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015, 234-241. doi:10.1007/978-3-319-24574-4_28He, K., Gkioxari, G., Dollar, P., & Girshick, R. (2017). Mask R-CNN. 2017 IEEE International Conference on Computer Vision (ICCV). doi:10.1109/iccv.2017.322Shelhamer, E., Long, J., & Darrell, T. (2017). Fully Convolutional Networks for Semantic Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(4), 640-651. doi:10.1109/tpami.2016.2572683He, K., Zhang, X., Ren, S., & Sun, J. (2016). Deep Residual Learning for Image Recognition. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). doi:10.1109/cvpr.2016.90Milletari, F., Navab, N., & Ahmadi, S.-A. (2016). V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation. 2016 Fourth International Conference on 3D Vision (3DV). doi:10.1109/3dv.2016.79Zhu, Q., Du, B., Turkbey, B., Choyke, P. L., & Yan, P. (2017). Deeply-supervised CNN for prostate segmentation. 2017 International Joint Conference on Neural Networks (IJCNN). doi:10.1109/ijcnn.2017.7965852To, M. N. N., Vu, D. Q., Turkbey, B., Choyke, P. L., & Kwak, J. T. (2018). Deep dense multi-path neural network for prostate segmentation in magnetic resonance imaging. International Journal of Computer Assisted Radiology and Surgery, 13(11), 1687-1696. doi:10.1007/s11548-018-1841-4Huang, G., Liu, Z., Van Der Maaten, L., & Weinberger, K. Q. (2017). Densely Connected Convolutional Networks. 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). doi:10.1109/cvpr.2017.243Zhu, Y., Wei, R., Gao, G., Ding, L., Zhang, X., Wang, X., & Zhang, J. (2018). Fully automatic segmentation on prostate MR images based on cascaded fully convolution network. Journal of Magnetic Resonance Imaging, 49(4), 1149-1156. doi:10.1002/jmri.26337Wang, Y., Ni, D., Dou, H., Hu, X., Zhu, L., Yang, X., … Wang, T. (2019). Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound. IEEE Transactions on Medical Imaging, 38(12), 2768-2778. doi:10.1109/tmi.2019.2913184Lemaître, G., Martí, R., Freixenet, J., Vilanova, J. C., Walker, P. M., & Meriaudeau, F. (2015). Computer-Aided Detection and diagnosis for prostate cancer based on mono and multi-parametric MRI: A review. Computers in Biology and Medicine, 60, 8-31. doi:10.1016/j.compbiomed.2015.02.009Litjens, G., Toth, R., van de Ven, W., Hoeks, C., Kerkstra, S., van Ginneken, B., … Madabhushi, A. (2014). Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge. Medical Image Analysis, 18(2), 359-373. doi:10.1016/j.media.2013.12.002Zhu, Q., Du, B., & Yan, P. (2020). Boundary-Weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation. IEEE Transactions on Medical Imaging, 39(3), 753-763. doi:10.1109/tmi.2019.2935018He, K., Zhang, X., Ren, S., & Sun, J. (2015). Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification. 2015 IEEE International Conference on Computer Vision (ICCV). doi:10.1109/iccv.2015.123Pan, S. J., & Yang, Q. (2010). A Survey on Transfer Learning. IEEE Transactions on Knowledge and Data Engineering, 22(10), 1345-1359. doi:10.1109/tkde.2009.191Smith, L. N. (2017). Cyclical Learning Rates for Training Neural Networks. 2017 IEEE Winter Conference on Applications of Computer Vision (WACV). doi:10.1109/wacv.2017.58Abraham, N., & Khan, N. M. (2019). A Novel Focal Tversky Loss Function With Improved Attention U-Net for Lesion Segmentation. 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019). doi:10.1109/isbi.2019.8759329Lei, Y., Tian, S., He, X., Wang, T., Wang, B., Patel, P., … Yang, X. (2019). Ultrasound prostate segmentation based on multidirectional deeply supervised V‐Net. Medical Physics, 46(7), 3194-3206. doi:10.1002/mp.13577Orlando, N., Gillies, D. J., Gyacskov, I., Romagnoli, C., D’Souza, D., & Fenster, A. (2020). Automatic prostate segmentation using deep learning on clinically diverse 3D transrectal ultrasound images. Medical Physics, 47(6), 2413-2426. doi:10.1002/mp.14134Karimi, D., Zeng, Q., Mathur, P., Avinash, A., Mahdavi, S., Spadinger, I., … Salcudean, S. E. (2019). Accurate and robust deep learning-based segmentation of the prostate clinical target volume in ultrasound images. Medical Image Analysis, 57, 186-196. doi:10.1016/j.media.2019.07.005PROMISE12 Resultshttps://promise12.grand-challenge.org/Isensee, F., Jaeger, P. F., Kohl, S. A. A., Petersen, J., & Maier-Hein, K. H. (2020). nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation. Nature Methods, 18(2), 203-211. doi:10.1038/s41592-020-01008-

Características clínicas de la catarata senil en santa rita, Zulia, Venezuela, julio-noviembre de 2007 / Clinical-epidemiological characteristics of patients surgically treated by senile cataracts in Santa Rita, Zulia, Venezuela, July to November 2007

Se realizó un estudio observacional, descriptivo y transversal para conocer las características clínico-epidemiológicas en pacientes operados de catarata senil, en Santa Rita, Zulia, de julio a noviembre de 2007. El universo estuvo conformado por 203 pacientes (ojos), la selección de la muestra se realizó de forma aleatoria simple, y se estimaron 56 pacientes operados (ojos). Los datos se obtuvieron a través de la observación del paciente y examen oftalmológico y de las historias clínicas individuales. Se confeccionó una planilla para la recogida de la información. Se utilizaron los métodos de la estadística descriptiva y resumieron las variables en frecuencias absolutas y relativas porcentuales. Se encontró que había un predominio del grupo de edad entre 60 y 69 años y el sexo femenino. El 53,6 % de los pacientes son diabéticos, y el glaucoma ocupaba el segundo lugar con 39.3 %. La agudeza visual preoperatoria estaba fundamentalmente en el rango de 0,3-0,6 (58.9 %). La catarata afectó a ambos ojos por igual. Las complicaciones en general fueron infrecuentes (< 20 %), con variaciones en dependencia del tiempo: entre las inmediatas fueron el edema corneal y la hipertensión ocular secundaria; en las mediatas fueron la subluxación del LIO y a la queratopatía bullosa, mientras las tardías estuvieron representadas por la opacidad de la cápsula posterior. La mayoría de los pacientes evaluó de buena tanto la satisfacción con el servicio quirúrgico y con el seguimiento en la comunidad. Se recomienda generalizar estos resultados para contribuir a elevar la calidad de vida y una mayor satisfacción de la población venezolana afectada por la Catarata Senil. Palabras clave: Catarata/complicaciones, clínica general, epidemiología, cirugía.ABSTRACT An observational, descriptive and cross-sectional study was carried out to describe the clinical-epidemiological characteristics of patients surgically treated by senile cataracts in Santa Rita, Zulia. Venezuela. July to November 2007. The universe was comprised of 203 patients (eyes), and the simple random sample was estimated in 56 patients (eyes). Data were obtained from the observation of the patient, ophthalmologic examination and the individual clinical records. A form was printed to collect information. Descriptive statistical methods were used to represent variables in absolute and relative frequencies. The age bracket 60-69 and females prevailed; 53, 6 % of patients were diabetic, glaucoma occupied the 2nd place with 39.3%. Pre-operatory visual acuity was mainly in the rank of 0, 3-0,6 (58,9 %). Cataract affected both eyes in the same proportions. Post-operative complications were infrequent (< 20 %), varying on time of presentations, among the immediate ones were: the corneal edema and the secondary ocular hypertension; among the mediate were subluxation of IOL and bullosa keratopathy, whereas the late complication, posterior capsule opacity was the most observed. Most of the patients evaluated either the satisfaction with the surgical service, or the follow up in the community as good. These results should be generalized to contribute to the increase of the quality of life and a greater satisfaction of the Venezuelan population affected by Senile Cataracts. Key words: Cataract/complications, general clinics, epidemiology, surgery

Características clínicas de la catarata senil en santa rita, Zulia, Venezuela, julio-noviembre de 2007 / Clinical-epidemiological characteristics of patients surgically treated by senile cataracts in Santa Rita, Zulia, Venezuela, July to November 2007

Se realizó un estudio observacional, descriptivo y transversal para conocer las características clínico-epidemiológicas en pacientes operados de catarata senil, en Santa Rita, Zulia, de julio a noviembre de 2007. El universo estuvo conformado por 203 pacientes (ojos), la selección de la muestra se realizó de forma aleatoria simple, y se estimaron 56 pacientes operados (ojos). Los datos se obtuvieron a través de la observación del paciente y examen oftalmológico y de las historias clínicas individuales. Se confeccionó una planilla para la recogida de la información. Se utilizaron los métodos de la estadística descriptiva y resumieron las variables en frecuencias absolutas y relativas porcentuales. Se encontró que había un predominio del grupo de edad entre 60 y 69 años y el sexo femenino. El 53,6 % de los pacientes son diabéticos, y el glaucoma ocupaba el segundo lugar con 39.3 %. La agudeza visual preoperatoria estaba fundamentalmente en el rango de 0,3-0,6 (58.9 %). La catarata afectó a ambos ojos por igual. Las complicaciones en general fueron infrecuentes (< 20 %), con variaciones en dependencia del tiempo: entre las inmediatas fueron el edema corneal y la hipertensión ocular secundaria; en las mediatas fueron la subluxación del LIO y a la queratopatía bullosa, mientras las tardías estuvieron representadas por la opacidad de la cápsula posterior. La mayoría de los pacientes evaluó de buena tanto la satisfacción con el servicio quirúrgico y con el seguimiento en la comunidad. Se recomienda generalizar estos resultados para contribuir a elevar la calidad de vida y una mayor satisfacción de la población venezolana afectada por la Catarata Senil. Palabras clave: Catarata/complicaciones, clínica general, epidemiología, cirugía.ABSTRACT An observational, descriptive and cross-sectional study was carried out to describe the clinical-epidemiological characteristics of patients surgically treated by senile cataracts in Santa Rita, Zulia. Venezuela. July to November 2007. The universe was comprised of 203 patients (eyes), and the simple random sample was estimated in 56 patients (eyes). Data were obtained from the observation of the patient, ophthalmologic examination and the individual clinical records. A form was printed to collect information. Descriptive statistical methods were used to represent variables in absolute and relative frequencies. The age bracket 60-69 and females prevailed; 53, 6 % of patients were diabetic, glaucoma occupied the 2nd place with 39.3%. Pre-operatory visual acuity was mainly in the rank of 0, 3-0,6 (58,9 %). Cataract affected both eyes in the same proportions. Post-operative complications were infrequent (< 20 %), varying on time of presentations, among the immediate ones were: the corneal edema and the secondary ocular hypertension; among the mediate were subluxation of IOL and bullosa keratopathy, whereas the late complication, posterior capsule opacity was the most observed. Most of the patients evaluated either the satisfaction with the surgical service, or the follow up in the community as good. These results should be generalized to contribute to the increase of the quality of life and a greater satisfaction of the Venezuelan population affected by Senile Cataracts. Key words: Cataract/complications, general clinics, epidemiology, surgery