Assessing Fuchs Corneal Endothelial Dystrophy Using Artificial Intelligence-Derived Morphometric Parameters From Specular Microscopy Images.

PURPOSE: The aim of this study was to evaluate the efficacy of artificial intelligence-derived morphometric parameters in characterizing Fuchs corneal endothelial dystrophy (FECD) from specular microscopy images. METHODS: This cross-sectional study recruited patients diagnosed with FECD, who underwent ophthalmologic evaluations, including slit-lamp examinations and corneal endothelial assessments using specular microscopy. The modified Krachmer grading scale was used for clinical FECD classification. The images were processed using a convolutional neural network for segmentation and morphometric parameter estimation, including effective endothelial cell density, guttae area ratio, coefficient of variation of size, and hexagonality. A mixed-effects model was used to assess relationships between the FECD clinical classification and measured parameters. RESULTS: Of 52 patients (104 eyes) recruited, 76 eyes were analyzed because of the exclusion of 26 eyes for poor quality retroillumination photographs. The study revealed significant discrepancies between artificial intelligence-based and built-in microscope software cell density measurements (1322 ± 489 cells/mm 2 vs. 2216 ± 509 cells/mm 2 , P < 0.001). In the central region, guttae area ratio showed the strongest correlation with modified Krachmer grades (0.60, P < 0.001). In peripheral areas, only guttae area ratio in the inferior region exhibited a marginally significant positive correlation (0.29, P < 0.05). CONCLUSIONS: This study confirms the utility of CNNs for precise FECD evaluation through specular microscopy. Guttae area ratio emerges as a compelling morphometric parameter aligning closely with modified Krachmer clinical grading. These findings set the stage for future large-scale studies, with potential applications in the assessment of irreversible corneal edema risk after phacoemulsification in FECD patients, as well as in monitoring novel FECD therapies.

Consenso colombiano de la enfermedad inflamatoria intestinal pediátrica

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Introduction: Pediatric ulcerative colitis (CUP), pediatric Crohn's disease (PCD), and pediatric inflammatory bowel disease not classifiable (PIDNCID) have clinical and psychosocial particularities that differentiate them from those of adults and may condition different therapeutic approaches due to possible nutritional, growth and developmental repercussions, representing a challenge for the pediatrician and gastroenterologist. Objective: Develop expert consensus evidence-based recommendations for the timely and safe diagnosis and treatment of Pediatric Inflammatory Bowel Disease (PID) in children under 18 years of age for professionals caring for these patients and healthcare payers. Methodology: Through a panel of experts from the Colombian College of Pediatric Gastroenterology, Hepatology and Nutrition (COLGAHNP) and a multidisciplinary group, 35 questions were asked regarding the clinical picture, diagnosis, and treatment of PID. Through a critical review and analysis of the literature with particular emphasis on the main clinical practice guidelines (CPGs), randomized clinical trials (RCTs), and meta-analyses of the last ten years, from which the experts made 77 recommendations that responded to each of the research questions with their respective practical points. Subsequently, each of the statements was voted on within the developer group, including the statements that achieved > 80%. Results: All statements scored > 80%. PID has greater extension, severity, and evolution towards stenosis, perianal disease, extraintestinal manifestations, and growth retardation compared to adult patients, so its management should be performed by multidisciplinary groups led by pediatric gastroenterologists and prepare them for a transition to adulthood. Porto's criteria allow a practical classification of PID. In CPE, we should use the Paris classification and perform ileocolonoscopy and esophagogastroduodenoscopy, since 50% have upper involvement, using the SES-CD (UCEIS/Mayo in CUP) and taking multiple biopsies. Initial labs should include inflammatory markers and fecal calprotectin and rule out intestinal infections. Treatment, induction, and maintenance of PID should be individualized and decided according to risk stratification. Follow-up should use PCDAI and PUCAI for the last 48 hours. Immunologists and geneticists should evaluate patients with early and infantile PID. Conclusion: A consensus guideline is provided with evidence-based recommendations on timely and safe diagnosis and treatments in patients with ILD.

SARS-CoV-2: Air pollution highly correlated to the increase in mortality. The case of Guadalajara, Jalisco, México.

Objectives: To determine whether air pollution or changes in SARS-CoV-2 lineages lead to an increase in mortality. Methods: Descriptive statistics were used to calculate rates of infection (2020-2021). RT-PCR was used to compare viral loads from October 2020 to February 2021. Next-generation sequencing (NGS) (n = 92) was used to examine and phylogenetically map SARS-CoV-2 lineages. A correlative "air pollution/temperature" index (I) was developed using regression analysis. PM2.5, PM10, O3, NO2, SO2, and CO concentrations were analyzed and compared to the mortality. Results: The mortality rate during the last year was ∼32%. Relative SARS-CoV-2 viral loads increased in December 2020 and January 2021. NGS revealed that approximately 80% of SARS-CoV-2 linages were B.1.243 (33.7%), B1.1.222 (11.2%), B.1.1 (9%), B.1 (7%), B.1.1.159 (7%), and B.1.2 (7%). Two periods were analyzed, the prehigh- and high-mortality periods and no significant lineage differences or new lineages were found. Positive correlations of air pollution/temperature index values with mortality were found for IPM2.5 and IPM10. INO2. ISO2, and ICO but not for O3. Using ICO, we developed a model to predict mortality with an estimated variation of ∼±5 deaths per day. Conclusion: The mortality rate in the MZG was highly correlated with air pollution indices and not with SARS-CoV-2 lineage.

The effect of gradually decreasing the dietary energy content, at constant or increased lysine:energy ratio on broiler performance, carcass yield, and body composition.

Formulating diets with high AME, especially in the grower and finisher phases, hinders the inclusion of alternative ingredients that are usually cheaper and have lower AME. Moreover, as the chicken grows the feed intake capacity is greater and may be able to maintain BW over a wide range of AME. The objective of this study was to evaluate the performance of chickens fed diets with progressive AME reductions, at constant or increased standardized ileal digestible (SID) lysine:AME ratio (Lys:AME). Treatment 1 (control) was formulated following the SID lysine and AME recommendations for a 4-phase feeding program. Treatment 5 was formulated with -4, -8, and -12% AME in the grower-1, grower-2, and finisher phases, respectively, and with the same Lys:AME compared with the control. Treatment 9 had the same AME as treatment 5 but higher SID lysine, increasing the Lys:AME by 1.5, 3.5, and 5.0% compared with treatment 5. In the grower-1, grower-2, and finisher phases, the final 9 dietary treatments were prepared by mixing the control diet with either treatment 5 or 9 at different proportions (75:25, 50:50, or 25:75). All birds were fed the same starter control diet. Treatments were replicated in 10 pens with 31 male chickens each, and the growth performance of birds was monitored for 42 d. Final BW linearly decreased (P < 0.05) when lowering dietary AME, but it followed a positive quadratic response with higher Lys:AME (P < 0.05). Feed intake increased (P < 0.05) with low AME, independently of the Lys:AME; but the linear regression in the feed conversion ratio (FCR) had a lower slope when the Lys:AME increased. At the end of the study, there were no differences in carcass or breast meat yield (P > 0.10). Progressively reducing AME in the last feeding phases may be a viable nutritional strategy to increase the inclusion of alternative ingredients and potentially reduce feeding costs, despite increments in feed intake and FCR. Adjusting the Lys:AME in low AME diets may help maintain the final BW of birds.

[Overweight and obesity: review and update]. / Sobrepeso y obesidad: revisión y puesta al día de la Sociedad Latinoamericana de Gastroenterología, Hepatología y Nutrición Pediátrica (SLAGHN.

Obesity is an epidemic with important health repercussions in addition to high treatment-related costs. Between 2006 and 2007 the WHO developed new assessment tools, which aren't being globally used. In fact, there is no unified problem management across the hemisphere. Objectives: To update obesity epidemiology, to promote application of WHO's standards, to review new findings on physiopathology (i.e., fatty tissue as endocrine organ, intestinal microbiota), to update epidemiological information, and to provide management guidelines that can be integrated in clinical care. Methods: LAPSGHAN called up its members to collaborate in preparing this review article under the direction of an editor/coordinator, who selected the contents and literature with the best evidencetogether with the members. Each member prepared a separate document for each content. The chosen contents were later collated, unified, and edited. Results. This documents highlights the following: 1) Although extreme obesity is increasing in the US, overweight and obesity prevalence has stabilized, while in other countries it is alarmingly increasing; 2) New information regarding role of fatty tissue as endocrine organ and self-regulator of obesity; 3) The promising role of microbiota; and 4) Guidelines for children handling during consultation and follow-up. Conclusions: There is no widespread implementation of standards and guidelines from the World Health Organization (WHO). There is no agreement as to whether z-scores or percentiles should be used, especially regarding children under 2 due to their changing body complexion. The most accepted tool to assess overweight, obesity and severe obesity is the Body Mass Index (BMI). This document provides recommendations on how to approach clinical care with affected children.