Unraveling brain fog in post-COVID syndrome: Relationship between subjective cognitive complaints and cognitive function, fatigue, and neuropsychiatric symptoms.

BACKGROUND AND PURPOSE: "Brain fog" is a frequent and disabling symptom that can occur after SARS-CoV-2 infection. However, its clinical characteristics and the relationships among brain fog and objective cognitive function, fatigue, and neuropsychiatric symptoms (depression, anxiety) are still unclear. In this study, we aimed to examine the characteristics of brain fog and to understand how fatigue, cognitive performance, and neuropsychiatric symptoms and the mutual relationships among these variables influence subjective cognitive complaints. METHODS: A total of 170 patients with cognitive complaints in the context of post-COVID syndrome were evaluated using a comprehensive neuropsychological protocol. The FLEI scale was used to characterize subjective cognitive complaints. Correlation analysis, regression machine-learning algorithms, and mediation analysis were calculated. RESULTS: Cognitive complaints were mainly attention and episodic memory symptoms, while executive functions (planning) issues were less often reported. The FLEI scale, a mental ability questionnaire, showed high correlations with a fatigue scale and moderate correlations with the Stroop test, and anxiety and depressive symptoms. Random forest algorithms showed an R2 value of 0.409 for the prediction of FLEI score, with several cognitive tests, fatigue and depression being the best variables used in the prediction. Mediation analysis showed that fatigue was the main mediator between objective and subjective cognition, while the effect of depression was indirect and mediated through fatigue. CONCLUSIONS: Brain fog associated with COVID-19 is mainly characterized by attention and episodic memory, and fatigue, which is the main mediator between objective and subjective cognition. Our findings contribute to understanding the pathophysiology of brain fog and emphasize the need to unravel the main mechanisms underlying brain fog, considering several aspects.

Performance of a multidisciplinary robotic surgery program at a university hospital (2012-2022).

Robotic-assisted surgery has become widely adopted for its ability to expand the indications for minimally invasive procedures. This technology aims to improve precision, accuracy, and outcomes while reducing complications, blood loss, and recovery time. Successful implementation of a robotic surgery program requires careful initial design and a focus on maintenance and expansion to maximize its benefits. This article presents a comprehensive study conducted at a University Hospital on the robotic surgery program from December 2012 to December 2022. Data from hospital databases, including patient demographics, surgical department, surgical time, operating room occupancy, and primary diagnosis, were analyzed. The analysis covered various time periods (surgical sessions, weeks, months, and years) to assess the program's evolution over time. Over the 10-year period, a total of 1847 robotic-assisted interventions were performed across five surgical services. Urology accounted for 57% of the cases, general surgery 17%, gynecology 16%, otorhinolaryngology 6%, and thoracic surgery 4%. The most frequently performed procedures included robotic prostatectomies (643 cases), hysterectomies (261 cases), and colposacropexies (210 cases). The weekly volume of interventions showed a notable increase, rising from 2 cases per week in 2013-2014 cases in 2022. Moreover, the average surgical duration per intervention exhibited a progressive decrease from 275 min in 2013 to 184 min in 2022. This study highlights the potential of a well-managed robotic surgery program as a viable alternative to conventional surgical approaches. Effective coordination and resource utilization contribute to the program's efficiency. The findings underscore the successful integration of robotic-assisted surgery in diverse surgical specialties.

Development of criteria for cognitive dysfunction in post-COVID syndrome: the IC-CoDi-COVID approach.

BACKGROUND: We aimed to develop objective criteria for cognitive dysfunction associated with the post-COVID syndrome. METHODS: Four hundred and four patients with post-COVID syndrome from two centers were evaluated with comprehensive neuropsychological batteries. The International Classification for Cognitive Disorders in Epilepsy (IC-CoDE) framework was adapted and implemented. A healthy control group of 145 participants and a complementary data-driven approach based on unsupervised machine-learning clustering algorithms were also used to evaluate the optimal classification and cutoff points. RESULTS: According to the developed criteria, 41.2% and 17.3% of the sample were classified as having at least one cognitive domain impaired using -1 and -1.5 standard deviations as cutoff points. Attention/processing speed was the most frequently impaired domain. There were no differences in base rates of cognitive impairment between the two centers. Clustering analysis revealed two clusters, although with an important overlap (silhouette index 0.18-0.19). Cognitive impairment was associated with younger age and lower education levels, but not hospitalization. CONCLUSIONS: We propose a harmonization of the criteria to define and classify cognitive impairment in the post-COVID syndrome. These criteria may be extrapolated to other neuropsychological batteries and settings, contributing to the diagnosis of cognitive deficits after COVID-19 and facilitating multicenter studies to guide biomarker investigation and therapies.

Prediction of Delivery Within 7 Days After Diagnosis of Early Onset Preeclampsia Using Machine-Learning Models.

Background: Early onset preeclampsia (eoPE) is a hypertensive disorder of pregnancy with endothelial dysfunction manifested before 34 weeks where expectant management is usually attempted. However, the timing of hospitalization, corticosteroids, and delivery remain a challenge. We aim to develop a prediction model using machine-learning tools for the need for delivery within 7 days of diagnosis (model D) and the risk of developing hemolysis, elevated liver enzymes, and low platelets (HELLP) syndrome or abruptio placentae (model HA). Materials and Methods: A retrospective cohort of singleton pregnancies with eoPE and attempted expectant management between 2014 and 2020. A Mono-objective Genetic Algorithm based on supervised classification models was implemented to develop D and HA models. Maternal basal characteristics and data gathered during eoPE diagnosis: gestational age, blood pressure, platelets, creatinine, transaminases, angiogenesis biomarkers (soluble fms-like tyrosine kinase-1, placental growth factor), and ultrasound data were pooled for analysis. The most relevant variables were selected by bio-inspired algorithms. We developed basal models that solely included demographic characteristics of the patient (D1, HA1), and advanced models adding information available at diagnosis of eoPE (D2, HA2). Results: We evaluated 215 eoPE cases and 47.9% required delivery within 7 days. The median time-to-delivery was 8 days. Basal models were better predicted by K-nearest-neighbor in D1, which had a diagnostic precision of 0.68 ± 0.09, with 63.6% sensitivity (Sn), 71.4% specificity (Sp), 70% positive predictive value (PPV), and 65.2% negative predictive value (NPV) using 13 variables and HA1 of 0.77 ± 0.09, 60.4% Sn, 80% Sp, 50% PPV, and 87.9% NPV. Models at diagnosis were better developed by support vector machine (SVM) using 18 variables, where D2's precision improved to 0.79 ± 0.05 with 77.3% Sn, 80.1% Sp, 81.5% PPV, and 76.2% NPV, and HA2 had a precision of 0.79 ± 0.08 with 66.7% Sn, 82.8% Sp, 51.6% PPV, and 90.3% NPV. Conclusion: At the time of diagnosis of eoPE, SVM with evolutionary feature selection process provides good predictive information of the need for delivery within 7 days and development of HELLP/abruptio placentae, using maternal characteristics and markers that can be obtained routinely. This information could be of value when assessing hospitalization and timing of antenatal corticosteroid administration.

Neuropsychological Predictors of Fatigue in Post-COVID Syndrome.

Fatigue is one of the most disabling symptoms in several neurological disorders and has an important cognitive component. However, the relationship between self-reported cognitive fatigue and objective cognitive assessment results remains elusive. Patients with post-COVID syndrome often report fatigue and cognitive issues several months after the acute infection. We aimed to develop predictive models of fatigue using neuropsychological assessments to evaluate the relationship between cognitive fatigue and objective neuropsychological assessment results. We conducted a cross-sectional study of 113 patients with post-COVID syndrome, assessing them with the Modified Fatigue Impact Scale (MFIS) and a comprehensive neuropsychological battery including standardized and computerized cognitive tests. Several machine learning algorithms were developed to predict MFIS scores (total score and cognitive fatigue score) based on neuropsychological test scores. MFIS showed moderate correlations only with the Stroop Color-Word Interference Test. Classification models obtained modest F1-scores for classification between fatigue and non-fatigued or between 3 or 4 degrees of fatigue severity. Regression models to estimate the MFIS score did not achieve adequate R2 metrics. Our study did not find reliable neuropsychological predictors of cognitive fatigue in the post-COVID syndrome. This has important implications for the interpretation of fatigue and cognitive assessment. Specifically, MFIS cognitive domain could not properly capture actual cognitive fatigue. In addition, our findings suggest different pathophysiological mechanisms of fatigue and cognitive dysfunction in post-COVID syndrome.

Etiquetado nutricional de alimentos procesados (semáforo nutri-cional) y su relación con factores socioeconómicos, culturales, demográficos y publicitarios, según padres de niños entre 5-11 años de dos colegios de Quito / Nutritional labeling of processed foods (nutritional stoplight) and its relationship with socioeconomic, cultural, demographic and advertising factors, according to parents of children between 5-11 years of age from two schools in Quito

Introducción: El etiquetado nutricional es una herramienta gráfica para notificar al consumidor sobre las propiedades nutricionales de un alimento lo que facilita su selección. El objetivo del presente estudio fue determinar la influencia del etiquetado nutricional y los factores socioeconómicos, culturales, demográficos, publicitarios en la selección de alimentos en un grupo de padres de niños entre 5-11 años en dos unidades educativas públicas y privadas de Quito. Métodos: Con diseño mixto, cuantitativo- transversal y cualitativa interpretativa se analizó una muestra de opiniones de 240 padres en las Unidades Educativas (UE) Nueva Aurora (Privada) y 235 padres en la UE Julio María Matovelle (Pública) de Quito. Se realizaron tres grupos focales, grabados y transcriptos de forma textual y se aplicó un cuestionario. El paquete esta-dístico usado fue SPSS v24.0. Resultados: Hubo mayor consumo de alimentos procesados en la UE Privada n=79/240 (32.9%). Selección por fácil preparación (39.2% UE Privada y 46.4% UE Pública). El 54.2 % y 57 % de los padres ven publicidad en la televisión. El conocimiento del etiquetado fue superior en la UE privada (94.9%; n=223). Asociación entre edad [OR: 2.3; IC 95%: 1.08-5.04] instrucción [OR: 3.95; IC 95%: 2.12-7.37], exposición a la publicidad [OR: 0.62; IC 95%: 0.36-1.05] y conocimientos (P<0.05). La actitud se asoció con el nivel de instrucción [OR: 2.57; IC 95%: 1.62-4.09] e ingresos (P<0.05). Análisis cualitativo: grado de conocimiento y publicidad elevados, con un impacto importante en la selección de los alimentos. Conclusiones: El conocimiento sobre el etiquetado nutricional fue elevado; pero no fue el principal factor para seleccionar alimentos. El tiempo de preparación y el sabor fueron más importantes que las especificaciones nutricionales

Introduction: Nutrition labeling is a graphic tool to notify consumers about the nutritional properties of a food, which facilitates their selection. The objective of this study was to determine the influence of nutri-tional labeling and socioeconomic, cultural, demographic, and advertising factors on food selection in a group of parents of children between 5-11 years old in two public and private educational units in Quito. Methods: With a mixed, quantitative-transversal and qualitative interpretative design, a sample of opin-ions of 240 parents in the Educational Units (EU) Nueva Aurora (Fiscal) and 235 parents in the EU Julio María Matovelle (Private) of Quito was analyzed. Three focus groups were carried out, recorded and transcribed textually, and a questionnaire was administered. The statistical package used was SPSS v24.0. Results: There was a higher consumption of processed foods in the private EU n = 79/240 (32.9%). Selection for easy preparation (39.2% Private EU and 46.4% Public EU). 54.2% and 57% of parents see advertising on television. Knowledge of labeling was higher in the private EU (94.9%; n = 223). Association between age [OR: 2.3; 95% CI: 1.08-5.04] instruction [OR: 3.95; 95% CI: 2.12-7.37], exposure to advertising [OR: 0.62; 95% CI: 0.36-1.05] and knowledge (P <0.05). Attitude was associated with educational level [OR: 2.57; 95% CI: 1.62-4.09] and admissions (P <0.05). Qualitative analysis: high degree of knowledge and publicity, with a significant impact on food selection. Conclusions: Knowledge about nutritional labeling was high, but it was not the main factor in selecting food. Prep time and flavor were more important than nutritional specifications.

Application of Machine Learning to Electroencephalography for the Diagnosis of Primary Progressive Aphasia: A Pilot Study.

Background. Primary progressive aphasia (PPA) is a neurodegenerative syndrome in which diagnosis is usually challenging. Biomarkers are needed for diagnosis and monitoring. In this study, we aimed to evaluate Electroencephalography (EEG) as a biomarker for the diagnosis of PPA. Methods. We conducted a cross-sectional study with 40 PPA patients categorized as non-fluent, semantic, and logopenic variants, and 20 controls. Resting-state EEG with 32 channels was acquired and preprocessed using several procedures (quantitative EEG, wavelet transformation, autoencoders, and graph theory analysis). Seven machine learning algorithms were evaluated (Decision Tree, Elastic Net, Support Vector Machines, Random Forest, K-Nearest Neighbors, Gaussian Naive Bayes, and Multinomial Naive Bayes). Results. Diagnostic capacity to distinguish between PPA and controls was high (accuracy 75%, F1-score 83% for kNN algorithm). The most important features in the classification were derived from network analysis based on graph theory. Conversely, discrimination between PPA variants was lower (Accuracy 58% and F1-score 60% for kNN). Conclusions. The application of ML to resting-state EEG may have a role in the diagnosis of PPA, especially in the differentiation from controls. Future studies with high-density EEG should explore the capacity to distinguish between PPA variants.

Personalized Repetitive Transcranial Magnetic Stimulation for Primary Progressive Aphasia.

BACKGROUND: Primary progressive aphasia (PPA) is a neurodegenerative syndrome for which no effective treatment is available. OBJECTIVE: We aimed to assess the effect of repetitive transcranial magnetic stimulation (rTMS), using personalized targeting. METHODS: We conducted a randomized, double-blind, pilot study of patients with PPA receiving rTMS, with a subgroup of patients receiving active- versus control-site rTMS in a cross-over design. Target for active TMS varied among the cases and was determined during a pre-treatment phase from a list of potential regions. The primary outcome was changes in spontaneous speech (word count). Secondary outcomes included changes in other language tasks, global cognition, global impression of change, neuropsychiatric symptoms, and brain metabolism using FDG-PET. RESULTS: Twenty patients with PPA were enrolled (14 with nonfluent and 6 with semantic variant PPA). For statistical analyses, data for the two variants were combined. Compared to the control group (n = 7), the group receiving active-site rTMS (n = 20) showed improvements in spontaneous speech, other language tasks, patient and caregiver global impression of change, apathy, and depression. This group also showed improvement or stabilization of results obtained in the baseline examination. Increased metabolism was observed in several brain regions after the therapy, particularly in the left frontal and parieto-temporal lobes and in the precuneus and posterior cingulate bilaterally. CONCLUSION: We found an improvement in language, patient and caregiver perception of change, apathy, and depression using high frequency rTMS. The increase of regional brain metabolism suggests enhancement of synaptic activity with the treatment. TRIAL REGISTRATION: NCT03580954 (https://clinicaltrials.gov/ct2/show/NCT03580954).

Infección por uncinarias en un lactante menor: Reporte de caso / Infantile hookworm infection: Clinical case report

La uncinariasis es endémica en zonas tropicales. Es común en preescolares y escolares pero infrecuente en lactantes antes de los 6 meses debido al mecanismo de transmisión que implica contacto de la piel con el suelo contaminado. La infección se caracteriza por anemia ferropénica secundaria a sangrado digestivo crónico. Una forma inusual de presentación es el sangrado digestivo masivo que causa anemia severa. Presentación del caso: Niña shuar de 4 meses sin antecedentes patológicos, referida del Hospital General Puyo por un cuadro de melenas de 3 meses de evolución. Al mes de edad inició con deposiciones melénicas ocasionales y palidez que empeoraron dos semanas antes del ingreso. Se apreció palidez generalizada, hipoactividad y edema en miembros inferiores. Presentó hemoglobina 2,8 g/dL, hematocrito 9%, volumen corpuscular medio 73 fl, ancho de distribución de eritrocitos 18%, reticulocitos 1% y eosinófilos 4%. El coprológico y coproparasitario reportaron heces alquitranosas, sangre positiva y huevos de uncinarias más Kato-Katz compatible con intensidad de infección moderada. Se diagnosticó anemia severa por sangrado digestivo secundario a uncinarias. Se trató con Albendazol 400 mg vía oral en una toma más transfusión sanguínea. A los 5 días mejoró la hemoglobina y disminuyó el edema. Las melenas cesaron. Se dió el alta para control ambulatorio. Conclusión: La uncinariasis es una enfermedad endémica cuya presencia e impacto en lactantes se ha subestimado pues no es considerada como causa de sangrado digestivo. Debe pensarse en esta parasitosis en contextos de zonas endémicas en niños que cumplan un perfil clínico similar al descrito

Hookworms are endemic nematodes from tropical regions. Infection is more common in preschool and school children, but it is less frequent in infants under 6 months, because of the transmission mechanism that implies contact between contaminated soil and skin. The clinical disease is characterized by manifestations related to iron-deficiency anemia, secondary to a chronic digestive blood loss. An unusual way of presentation is the massive digestive bleeding that causes severe anemia. Case report: A four month shuar girl with no significant medical history, referred from General Puyo hospital, presented upper digestive bleeding of 3 months duration. At month of age, the girl presented self-limited melenas and skin pallor that worsen two weeks before the admission. The girl was hypo active, with a pale complexion, and had edema of feet. Her blood count showed hemoglobin 2.8 g/dl, hematocrit 9%, mean corpuscular volume 73 fl, red cell distribution width 18%, reticulocyte count 1%, eosinophils 4%. Coprological analysis reported tarry stools, positive fecal occult blood test, and hookworm eggs determined by Kato ­ Katz as a moderate infection. It was diagnosed iron-deficiency anemia secondary to an upper digestive bleeding caused by hookworms. The infection was treated with a single oral dose of albendazole 400mg plus blood transfusion. After 5 days of treatment, hemoglobin increased and edema was reduced. Melenas disappeared completely. Finally the discharge was indicated for outdoor control. Conclusion: Hookworm infestation is an endemic disease whose presence and impact in infants has been underestimated because it is not necessary as a cause of digestive bleeding. This disease should be considered in contexts of endemic areas in children who meet a clinical profile similar to that described

La simulación clínica como estrategia de enseñanza-aprendizaje en ciencias de la salud / Clinical simulation as a teaching-learning strategy in health sciences

Las estrategias de enseñanza-aprendizaje en Salud han evolucionado sustancialmente, ubicando a la simulación clínica como parte esencial de los procesos curriculares y de acreditación; sin embargo, debido al tiempo e inversión que requiere, puede verse relegada de incorporarla de forma eficiente y temprana en los procesos educativos. Se expone una panorámica sobre su importancia en la docencia y cómo influye en las competencias clínicas para la atención de salud.

Health teaching-learning strategies have evolved substantially, locating clinical simulation as an essential part of curricular and accreditation processes; however, due to the time and the investment required, it can be relegated to incorporate efficiently and early to education processes. A panoramic view of its importance with teaching a

Traditional Knowledge of Edible Wild Plants Used by Indigenous Communities in Zongolica, Mexico.

Edible wild plants (EWP) continue to be an important food source for indigenous communities. A survey was conducted to identify the consumption and management of EWP known as quelites in the Zongolica region of Mexico. 15 species of quelites are consumed mainly during the rainy season, whose local name is associated with the plant's shape, smell and flavor. Changes in food patterns and land use threaten the permanence and consumption of these species. Indigenous and local knowledge is crucial for the use, management and conservation of this group of plants, whose consumption can be leveraged to address malnutrition and unhealthy food use.

Clustering Analysis of FDG-PET Imaging in Primary Progressive Aphasia.

Background: Primary progressive aphasia (PPA) is a clinical syndrome characterized by the neurodegeneration of language brain systems. Three main clinical forms (non-fluent, semantic, and logopenic PPA) have been recognized, but applicability of the classification and the capacity to predict the underlying pathology is controversial. We aimed to study FDG-PET imaging data in a large consecutive case series of patients with PPA to cluster them into different subtypes according to regional brain metabolism. Methods: 122 FDG-PET imaging studies belonging to 91 PPA patients and 28 healthy controls were included. We developed a hierarchical agglomerative cluster analysis with Ward's linkage method, an unsupervised clustering algorithm. We conducted voxel-based brain mapping analysis to evaluate the patterns of hypometabolism of each identified cluster. Results: Cluster analysis confirmed the three current PPA variants, but the optimal number of clusters according to Davies-Bouldin index was 6 subtypes of PPA. This classification resulted from splitting non-fluent variant into three subtypes, while logopenic PPA was split into two subtypes. Voxel-brain mapping analysis displayed different patterns of hypometabolism for each PPA group. New subtypes also showed a different clinical course and were predictive of amyloid imaging results. Conclusion: Our study found that there are more than the three already recognized subtypes of PPA. These new subtypes were more predictive of clinical course and showed different neuroimaging patterns. Our results support the usefulness of FDG-PET in evaluating PPA, and the applicability of computational methods in the analysis of brain metabolism for improving the classification of neurodegenerative disorders.

An SSR-based approach incorporating a novel algorithm for identification of rare maize genotypes facilitates criteria for landrace conservation in Mexico.

As maize was domesticated in Mexico around 9,000 years ago, local farmers have selected and maintained seed stocks with particular traits and adapted to local conditions. In the present day, many of these landraces are still cultivated; however, increased urbanization and migration from rural areas implies a risk that this invaluable maize germplasm may be lost. In order to implement an efficient mechanism of conservation in situ, the diversity of these landrace populations must be estimated. Development of a method to select the minimum number of samples that would include the maximum number of alleles and identify germplasm harboring rare combinations of particular alleles will also safeguard the efficient ex-situ conservation of this germplasm. To reach this goal, a strategy based on SSR analysis and a novel algorithm to define a minimum collection and rare genotypes using landrace populations from Puebla State, Mexico, was developed as a "proof of concept" for methodology that could be extended to all maize landrace populations in Mexico and eventually to other native crops. The SSR-based strategy using bulked DNA samples allows rapid processing of large numbers of samples and can be set up in most laboratories equipped for basic molecular biology. Therefore, continuous monitoring of landrace populations locally could easily be carried out. This methodology can now be applied to support incentives for small farmers for the in situ conservation of these traditional cultivars.

Factores de riesgo asociados con hemorragia pulmonar neonatal / Risk factors associated with neonatal pulmonary haemorrhage

Objetivo: determinar la prevalencia de la hemorragia pulmonar en pacientes ingresados en Cuidado Intensivo Neonatal e identificar los factores de riesgo asociados. Metodología: estudio de casos y controles en pacientes en soporte ventilatorio con diagnóstico confirmado de hemorragia pulmonar con criterios de inclusión previamente definidos. Los controles fueron pareados por sexo y se seleccionaron en relación con el siguiente ingreso a la sala de Neonatología después de un caso con una diferencia de peso de ±200 gramos y una edad gestacional de ±1 semana. Se identificaron características asociadas con el cuadro sintomático divididas en factores prenatales y postnatales. La recolección de datos se hizo mediante el paquete estadístico SPSS; se usó estadística descriptiva y para el análisis se usó tablas cruzadas y evaluación de odds ratio. Se calculó la prevalencia del problema. Resultados: un total de 1.039 pacientes fueron atendidos en la sala de Neonatología. Se registraron 17 casos de hemorragia pulmonar. Con los criterios de inclusión planteados, solamente se tomaron en cuenta 12 y se parearon con 24 controles. La prevalencia de la hemorragia pulmonar fue de 1.15% con una mortalidad del 66.7%. Del total de casos, la hemorragia pulmonar se presentó en 33.3% en pacientes menores de 1.500 g y en 83.3% de prematuros, particularmente menores de 32 semanas. Factores de riesgo identificados: no uso de corticoides para maduración pulmonar en la madre gestante (OR 1.73 IC 1.40-7.36 p 0.45), hipertensión pulmonar persistente (OR 1.73 IC 1.40-7.36 p 0.45), enfermedad de membrana hialina (OR 2.0 IC 1.47-8.46 p 0.34) y uso de surfactante exógeno para el manejo de esta última (OR 3.40 IC 1.80-14.41 p 0.09). De forma independiente, la coagulopatía presentó significancia estadística relevante como causa (OR 35.0 IC 5.02-93.85 p 0.01). Conclusión: la hemorragia pulmonar es una complicación poco prevalente pero de alta mortalidad en la cual la edad gestacional y los factores asociados al manejo inmediato de las complicaciones de la prematurez son fundamentales para mejorar el pronóstico. (AU)

Objective: to determine the prevalence of pulmonary bleeding in patients admitted to neonatal intensive care and identify associated risk factors. Methodology: case-control study in patients with ventilatory support and a confirmed pulmonary hemorrhage diagnosis, with predefined inclusion criteria. Controls were matched by sex and selected in relation to the following entry in the Neonatology Intensive Care Unit after a case with a weight difference of ± 200 g and a gestational age of ± 1 week. Associated characteristics to the clinical features were identified and divided into prenatal and postnatal factors. The selection and analysis of data were made with the SPSS statistical basis; descriptive statistics were used and crossing variables with odds ratio evaluation were performed for the analysis. The problem's prevalence was also calculated. Results: a total of 1039 patients were treated at the Neonatal ICU, where we recorded 17 cases of pulmonary hemorrhage, with inclusion criteria defined, there were taken 12 that matched with 24 controls. The prevalence of pulmonary hemorrhage was 1.15% with a mortality of 66.7%. From all the cases, pulmonary hemorrhage occurred in 33.3%, in patients with less than 1500 g and in 83.3% of preterm infants, particularly in those under 32 weeks. They were identified as risk factors not to use steroids for lung maturity during the pregnancy (OR 1.73 CI 1.40 to 7.36 p 0.45), persistent pulmonary hypertension (OR 1.73 CI 1.40-7.36 p 0.45), hyaline membrane disease (OR 2.0 CI 1.47 to 8.46 p 0.34) and the use of exogenous surfactant therapy for the management of it (OR 3 40 CI 1.80 to 14.41 p 0.09). Independently, disseminated intravascular coagulopathy, had more relevant statistical significance as a cause (OR 35.0 CI 5.02 to 93.85 p 0.01). Conclusion: pulmonary hemorrhage is a poor prevalent complication with a high mortality, in which gestational age and associated factors to the immediate management of prematurity complications are essential to improve the prognosis. (AU)