Retinoic Acid-Mediated Control of Energy Metabolism Is Essential for Lung Branching Morphogenesis.

Lung branching morphogenesis relies on intricate epithelial-mesenchymal interactions and signaling networks. Still, the interplay between signaling and energy metabolism in shaping embryonic lung development remains unexplored. Retinoic acid (RA) signaling influences lung proximal-distal patterning and branching morphogenesis, but its role as a metabolic modulator is unknown. Hence, this study investigates how RA signaling affects the metabolic profile of lung branching. We performed ex vivo lung explant culture of embryonic chicken lungs treated with DMSO, 1 µM RA, or 10 µM BMS493. Extracellular metabolite consumption/production was evaluated by using 1H-NMR spectroscopy. Mitochondrial respiration and biogenesis were also analyzed. Proliferation was assessed using an EdU-based assay. The expression of crucial metabolic/signaling components was examined through Western blot, qPCR, and in situ hybridization. RA signaling stimulation redirects glucose towards pyruvate and succinate production rather than to alanine or lactate. Inhibition of RA signaling reduces lung branching, resulting in a cystic-like phenotype while promoting mitochondrial function. Here, RA signaling emerges as a regulator of tissue proliferation and lactate dehydrogenase expression. Furthermore, RA governs fatty acid metabolism through an AMPK-dependent mechanism. These findings underscore RA's pivotal role in shaping lung metabolism during branching morphogenesis, contributing to our understanding of lung development and cystic-related lung disorders.

Automatic multi-view pose estimation in focused cardiac ultrasound.

Focused cardiac ultrasound (FoCUS) is a valuable point-of-care method for evaluating cardiovascular structures and function, but its scope is limited by equipment and operator's experience, resulting in primarily qualitative 2D exams. This study presents a novel framework to automatically estimate the 3D spatial relationship between standard FoCUS views. The proposed framework uses a multi-view U-Net-like fully convolutional neural network to regress line-based heatmaps representing the most likely areas of intersection between input images. The lines that best fit the regressed heatmaps are then extracted, and a system of nonlinear equations based on the intersection between view triplets is created and solved to determine the relative 3D pose between all input images. The feasibility and accuracy of the proposed pipeline were validated using a novel realistic in silico FoCUS dataset, demonstrating promising results. Interestingly, as shown in preliminary experiments, the estimation of the 2D images' relative poses enables the application of 3D image analysis methods and paves the way for 3D quantitative assessments in FoCUS examinations.

Impact of polyurethane versus acellular dermal matrix coating on prepectoral reconstruction outcomes: Interface does matter.

BACKGROUND: Interfaces continue to be used in prepectoral breast reconstruction to refine breast appearance, but more clinical data are required to assess their effectiveness. This study compares the rates of capsular contracture, breast esthetics, and patient satisfaction between two commonly used interface materials, acellular dermal matrix (ADM) and polyurethane (PU) foam. METHODS: A cross-sectional assessment was conducted on all patients who underwent prepectoral direct-to-implant reconstruction with an interface material between June 2018 and June 2022. We compared capsular contracture rates (assessed in-person), esthetic outcomes (evaluated by a three-member panel using a specially designed scale), and patient satisfaction (measured using the Breast-Q questionnaire) among the members of the interface groups. RESULTS: Among the 79 reconstructed breasts (20 bilateral cases), 35 were reconstructed using ADM and 44 using PU implants. The ADM group had a significantly higher frequency of Baker III/IV capsular contracture compared with the PU group (14.3% vs. 0%, p = 0.014) and lower ratings from the panel in terms of capsular contracture (median 3.7 vs. 4.0, p < 0.001). PU reconstructions scored worse in implant visibility (median 2.3 vs. 3.3, p < 0.001) and rippling (median 3.0 vs. 3.7, p < 0.001). However, after appropriate adjustment for confounders, no significant differences in overall appearance and patient satisfaction were found. CONCLUSIONS: ADM reconstructions are prone to capsular contracture with all their related esthetic issues, but PU implants have certain cosmetic flaws, such as implant visibility and malposition. Since each technique has its own limitations, neither the experienced surgeons nor patients exhibited a clear preference for either approach.

Heterotopic ossification - A rare donor site complication after iliac crest free flap.

Iliac crest free flap is still essential as a source of vascularized bone tissue, having a definite role in osseous reconstruction of the face and other small bone defects. Some of its drawbacks include laborious dissection and donor site morbidity. We report a case of a patient that presented to our follow-up consultation ten years after iliac crest free flap harvest with new complaints of pain, gait disturbance and swelling in the right hip. Imaging exams revealed a heterotopic bone formation and helped with the diagnosis of heterotopic ossification (HO) of the right iliacus bone. Surgical intervention was needed for debridement of the heterotopic bone, with resolution of the symptoms. To our knowledge, this is the first report of HO after iliac crest free flap harvest. This rare condition adds to an already well-known number of donor zone complications of this flap. Plastic surgeons should be aware of this complication, as it can cause disability many years after the original surgery.

A Comparative Study of Deep Learning Methods for Multi-Class Semantic Segmentation of 2D Kidney Ultrasound Images.

Ultrasound (US) imaging is a widely used medical imaging modality for the diagnosis, monitoring, and surgical planning for kidney conditions. Thus, accurate segmentation of the kidney and internal structures in US images is essential for the assessment of kidney function and the detection of pathological conditions, such as cysts, tumors, and kidney stones. Therefore, there is a need for automated methods that can accurately segment the kidney and internal structures in US images. Over the years, automatic strategies were proposed for such purpose, with deep learning methods achieving the current state-of-the-art results. However, these strategies typically ignore the segmentation of the internal structures of the kidney. Moreover, they were evaluated in different private datasets, hampering the direct comparison of results, and making it difficult to determination the optimal strategy for this task. In this study, we perform a comparative analysis of 7 deep learning networks for the segmentation of the kidney and internal structures (Capsule, Central Echogenic Complex (CEC), Cortex and Medulla) in 2D US images in an open access multi-class kidney US dataset. The dataset includes 514 images, acquired in multiple clinical centers using different US machines and protocols. The dataset contains the annotation of two experts, but 321 images with complete segmentation of all 4 classes were used. Overall, the results demonstrate that the DeepLabV3+ network outperformed the inter-rater variability with a Dice score of 78.0% compared to 75.6% for inter-rater variability. Specifically, DeepLabV3Plus achieved mean Dice scores of 94.2% for the Capsule, 85.8% for the CEC, 62.4% for the Cortex, and 69.6% for the Medulla. These findings suggest the potential of deep learning-based methods in improving the accuracy of kidney segmentation in US images.Clinical Relevance- This study shows the potential of DL for improving accuracy of kidney segmentation in US, leading to increased diagnostic efficiency, and enabling new applications such as computer-aided diagnosis and treatment, ultimately resulting in improved patient outcomes and reduced healthcare costs.1.

Diaphragmatic hernia repair porcine model to compare the performance of biodegradable membranes against Gore-Tex®.

BACKGROUND: Patch repair of congenital diaphragmatic hernia (CDH) using Gore-Tex® is associated with infection, adhesions, hernia recurrence, long-term musculoskeletal sequels and poor tissue regeneration. To overcome these limitations, the performance of two novel biodegradable membranes was tested to repair CDH in a growing pig model. METHODS: Twelve male pigs were randomly assigned to 3 different groups of 4 animals each, determined by the type of patch used during thoracoscopic diaphragmatic hernia repair (Gore-Tex®, polycaprolactone electrospun membrane-PCLem, and decellularized human chorion membrane-dHCM). After 7 weeks, all animals were euthanized, followed by necropsy for diaphragmatic evaluation and histological analysis. RESULTS: Thoracoscopic defect creation and diaphragmatic repair were performed without any technical difficulty in all groups. However, hernia recurrence rate was 0% in Gore-Tex®, 50% in PCLem and 100% in dHCM groups. At euthanasia, Gore-Tex® patches appeared virtually unchanged and covered with a fibrotic capsule, while PCLem and dHCM patches were replaced by either floppy connective tissue or vascularized and floppy regenerated membranous tissue, respectively. CONCLUSION: Gore-Tex® was associated with a higher survival rate and lower recurrence. Nevertheless, the proposed biodegradable membranes were associated with better tissue integration when compared with Gore-Tex®.

Predicting Insulin Resistance in a Pediatric Population With Obesity.

OBJECTIVES: Insulin resistance (IR) affects children and adolescents with obesity and early diagnosis is crucial to prevent long-term consequences. Our aim was to identify predictors of IR and develop a multivariate model to accurately predict IR. METHODS: We conducted a cross-sectional analysis of demographical, clinical, and biochemical data from a cohort of patients attending a specialized Paediatric Nutrition Unit in Portugal over a 20-year period. We developed multivariate regression models to predict IR. The participants were randomly divided into 2 groups: a model group for developing the predictive models and a validation group for cross-validation of the study. RESULTS: Our study included 1423 participants, aged 3-17 years old, randomly divided in the model (n = 879) and validation groups (n = 544). The predictive models, including uniquely demographic and clinical variables, demonstrated good discriminative ability [area under the curve (AUC): 0.834-0.868; sensitivity: 77.0%-83.7%; specificity: 77.0%-78.7%] and high negative predictive values (88.9%-91.6%). While the diagnostic ability of adding fasting glucose or triglycerides/high density lipoprotein cholesterol index to the models based on clinical parameters did not show significant improvement, fasting insulin appeared to enhance the discriminative power of the model (AUC: 0.996). During the validation, the model considering demographic and clinical variables along with insulin showed excellent IR discrimination (AUC: 0.978) and maintained high negative predictive values (90%-96.3%) for all models. CONCLUSION: Models based on demographic and clinical variables can be advantageously used to identify children and adolescents at moderate/high risk of IR, who would benefit from fasting insulin evaluation.

Objective structured assessment ultrasound skill scale for hyomental distance competence - psychometric study.

BACKGROUND: Ultrasound assessment of the airway recently integrates the point-of-care approach to patient evaluation since ultrasound measurements can predict a difficult laryngoscopy and tracheal intubation. Because ultrasonography is performer-dependent, a proper training and assessment tool is needed to increase diagnostic accuracy. An objective, structured assessment ultrasound skill (OSAUS) scale was recently developed to guide training and assess competence. This work aims to study the psychometric properties of OSAUS Scale when used to evaluate competence in ultrasound hyomental distance (HMD) measurement. METHODS: Prospective and experimental study. Volunteers were recruited and enrolled in groups with different expertise. Each participant performed three ultrasonographic HMD evaluation. The performance was videorecorded and anonymized. Five assessors blindly rated participants' performance using OSAUS scale and a Global Rating Scale (GRS). A psychometric study of OSAUS scale as assessment tool for ultrasound HMD competence was done. RESULTS: Fifteen voluntaries participated on the study. Psychometric analysis of OSAUS showed strong internal consistency (Cronbach's alpha 0.916) and inter-rater reliability (ICC 0.720; p < 0.001). The novice group scored 15.4±0.18 (mean±SD), the intermediate 14.3±0.75 and expert 13.6±0.1.25, with a significant difference between novice and expert groups (p = 0.036). The time in seconds to complete the task was evaluated: novice (90±34) (mean±SD), intermediate (84±23) and experts (83±15), with no significant differences between groups. A strong correlation was observed between OSAUS and global rating scale (r = 0.970, p < 0.001). CONCLUSION: The study demonstrated evidence of validity and reliability. Further studies are needed to implement OSAUS scale in the clinical setting for training and assessment of airway ultrasound competence.

Comparing Polyurethane and Acellular Dermal Matrix Implant Cover in Prepectoral Breast Reconstruction: Short-term Complications.

Implant covering with an interface material is the standard in prepectoral breast reconstruction. Acellular dermal matrix (ADM) is frequently used, but it is expensive and associated with complications. Alternatively, we have been using integrated devices consisting of a silicone implant coated with polyurethane (PU) foam. We aimed to compare both techniques in terms of acute complications. Methods: The authors retrospectively reviewed patients undergoing prepectoral direct-to-implant reconstruction from June 2018 to January 2022. Two cohorts were defined based on the interface material used: ADM versus PU. Total drainage volume, time to drain removal, and acute complications (hematoma, seroma, infection, and explantation) were analyzed. Results: Forty-four breast reconstructions were performed in 35 patients (10 bilateral); implants were covered with ADM in 23 cases and with PU foam in 21. Median total drainage volume (500 versus 515 cc for ADM and PU, respectively) and time to drain removal (9 versus 8 days) were not affected by the interface material used, but seromas and infections occurred exclusively in the ADM cohort (seromas in four of 23 of cases, P = 0.109; infections in three of 23 cases, P = 0.234). Overall complications occurred more often in cases reconstructed with ADM, but the difference was nonsignificant (P = 0.245). Conclusions: The use of interface materials is generally considered a prerequisite for state-of-the-art prepectoral breast reconstruction for a variety of reasons, including the prevention of capsular contracture. In this study, PU coating tended to be associated with fewer short-term complications than ADM, including seroma and infection.

Intraluminal chloride regulates lung branching morphogenesis: involvement of PIEZO1/PIEZO2.

BACKGROUND: Clinical and experimental evidence shows lung fluid volume as a modulator of fetal lung growth with important value in treating fetal lung hypoplasia. Thus, understanding the mechanisms underlying these morphological dynamics has been the topic of multiple investigations with, however, limited results, partially due to the difficulty of capturing or recapitulating these movements in the lab. In this sense, this study aims to establish an ex vivo model allowing the study of lung fluid function in branching morphogenesis and identify the subsequent molecular/ cellular mechanisms. METHODS: Ex vivo lung explant culture was selected as a model to study branching morphogenesis, and intraluminal injections were performed to change the composition of lung fluid. Distinct chloride (Cl-) concentrations (5.8, 29, 143, and 715 mM) or Cl- channels inhibitors [antracene-9-carboxylic acid (A9C), cystic fibrosis transmembrane conductance regulator inhibitor172 (CFTRinh), and calcium-dependent Cl- channel inhibitorA01 (CaCCinh)] were injected into lung lumen at two timepoints, day0 (D0) and D2. At D4, morphological and molecular analyses were performed in terms of branching morphogenesis, spatial distribution (immunofluorescence), and protein quantification (western blot) of mechanoreceptors (PIEZO1 and PIEZO2), neuroendocrine (bombesin, ghrelin, and PGP9.5) and smooth muscle [alpha-smooth muscle actin (α-SMA) and myosin light chain 2 (MLC2)] markers. RESULTS: For the first time, we described effective intraluminal injections at D0 and D2 and demonstrated intraluminal movements at D4 in ex vivo lung explant cultures. Through immunofluorescence assay in in vivo and ex vivo branching morphogenesis, we show that PGP9.5 colocalizes with PIEZO1 and PIEZO2 receptors. Fetal lung growth is increased at higher [Cl-], 715 mM Cl-, through the overexpression of PIEZO1, PIEZO2, ghrelin, bombesin, MLC2, and α-SMA. In contrast, intraluminal injection of CFTRinh or CaCCinh decreases fetal lung growth and the expression of PIEZO1, PIEZO2, ghrelin, bombesin, MLC2, and α-SMA. Finally, the inhibition of PIEZO1/PIEZO2 by GsMTx4 decreases branching morphogenesis and ghrelin, bombesin, MLC2, and α-SMA expression in an intraluminal injection-independent manner. CONCLUSIONS: Our results identify PIEZO1/PIEZO2 expressed in neuroendocrine cells as a regulator of fetal lung growth induced by lung fluid.

Comparative study of e-cigarette aerosol and cigarette smoke effect on ex vivo embryonic chick lung explants.

Electronic cigarette usage has significantly expanded among young people and pregnant women in the last decade. Although there are already some data regarding the short- and long-term consequences of e-cigarettes on human health, their effect on embryo and lung development still needs to be fully disclosed. In this sense, this study describes, for the first time, the impact of electronic cigarette aerosol on early lung development. For this purpose, ex vivo chick (Gallus gallus) embryonic lungs were cultured in vitro for 48 h in e-cigarette aerosol exposed-medium or unexposed medium. Chick lung explants were also cultured in a cigarette smoke-exposed medium for comparison purposes. Lung explants were morphologically analyzed to assess the impact on lung growth. Additionally, TNF-α levels were determined in the supernatant as a marker of pro-inflammatory response. The results suggest that electronic cigarette aerosol impairs lung growth and promotes lung inflammation. However, its impact on early lung growth seems less detrimental than conventional cigarette smoke. This work provides significant data regarding the impact of e-cig aerosol, adding to the efforts to fully understand its effect on embryo development. The validation of these effects may eventually lead to new tobacco control recommendations for pregnant women.

Molecular insights of Hippo signaling in the chick developing lung.

Hippo signaling pathway and its effector YAP have been recognized as an essential growth regulator during embryonic development. Hippo has been studied in different contexts; nevertheless, its role during chick lung branching morphogenesis remains unknown. Therefore, this work aims to determine Hippo role during early pulmonary organogenesis in the avian animal model. The current study describes the spatial distribution of Hippo signaling members in the embryonic chick lung by in situ hybridization. Overall, their expression is comparable to their mammalian counterparts. Moreover, the expression levels of phosphorylated-YAP (pYAP) and total YAP revealed that Hippo signaling is active in the embryonic chick lung. Furthermore, the presence of pYAP in the cytoplasm demonstrated that the Hippo machinery distribution is maintained in this tissue. In vitro studies were performed to assess the role of the Hippo signaling pathway in lung branching. Lung explants treated with a YAP/TEAD complex inhibitor (verteporfin) displayed a significant reduction in lung size and branching and decreased expression of ctgf (Hippo target gene) compared to the control. This approach also revealed that Hippo seems to modulate the expression of key molecular players involved in lung branching morphogenesis (sox2, sox9, axin2, and gli1). Conversely, when treated with dobutamine, an upstream regulator that promotes YAP phosphorylation, explant morphology was not severely affected. Overall, our data indicate that Hippo machinery is present and active in the early stages of avian pulmonary branching and that YAP is likely involved in the regulation of lung growth.

Analysis of Current Deep Learning Networks for Semantic Segmentation of Anatomical Structures in Laparoscopic Surgery.

Semantic segmentation of anatomical structures in laparoscopic videos is a crucial task to enable the development of new computer-assisted systems that can assist surgeons during surgery. However, this is a difficult task due to artifacts and similar visual characteristics of anatomical structures on the laparoscopic videos. Recently, deep learning algorithms have been showed promising results on the segmentation of laparoscopic instruments. However, due to the lack of large public datasets for semantic segmentation of anatomical structures, there are only a few studies on this task. In this work, we evaluate the performance of five networks, namely U-Net, U-Net++, DynUNet, UNETR and DeepLabV3+, for segmentation of laparoscopic cholecystectomy images from the recently released CholecSeg8k dataset. To the best of our knowledge, this is the first benchmark performed on this dataset. Training was performed with dice loss. The networks were evaluated on segmentation of 8 anatomical structures and instruments, performance was quantified through the dice coefficient, intersection over union, recall, and precision. Apart from the U-Net, all networks obtained scores similar to each other, with the U-Net++ being the network with the best overall score with a mean Dice value of 0.62. Overall, the results show that there is still room for improvement in the segmentation of anatomical structures from laparoscopic videos. Clinical Relevance- The results of this study show the potential of deep neural networks for the segmentation of anatomical structures in laparoscopic images which can later be incorporated into computer-aided systems for surgeons.

A deep learning method for kidney segmentation in 2D ultrasound images.

Ultrasound (US) is a medical imaging modality widely used for diagnosis, monitoring, and guidance of surgical procedures. However, the accurate interpretation of US images is a challenging task. Recently, portable 2D US devices enhanced with Artificial intelligence (AI) methods to identify, in real-time, specific organs are widely spreading worldwide. Nevertheless, the number of available methods that effectively work in such devices is still limited. In this work, we evaluate the performance of the U-NET architecture to segment the kidney in 2D US images. To accomplish this task, we studied the possibility of using multiple sliced images extracted from 3D US volumes to achieve a large, variable, and multi-view dataset of 2D images. The proposed methodology was tested with a dataset of 66 3D US volumes, divided in 51 for training, 5 for validation, and 10 for testing. From the volumes, 3792 2D sliced images were extracted. Two experiments were conducted, namely: (i) using the entire database (WWKD); and (ii) using images where the kidney area is > 500 mm2 (500KD). As a proof-of-concept, the potential of our strategy was tested in real 2D images (acquired with 2D probes). An average error of 2.88 ± 2.63 mm in the testing dataset was registered. Moreover, satisfactory results were obtained in our initial proof-of-concept using pure 2D images. In short, the proposed method proved, in this preliminary study, its potential interest for clinical practice. Further studies are required to evaluate the real performance of the proposed methodology. Clinical Relevance- In this work a deep learning methodology to segment the kidney in 2D US images is presented. It may be a relevant feature to be included in the recent portable US ecosystems easing the interpretation of image and consequently the clinical analysis.

Ultrasound-Guided Selective Bronchial Intubation: A Feasibility Study in Pediatric Animal Model.

Objective: Selective one-lung ventilation used to optimize neonatal and pediatric surgical conditions is always a demanding task for anesthesiologists, especially during minimally invasive thoracoscopic surgery. This study aims to introduce an ultrasound-guided bronchial intubation and exclusion technique in a pediatric animal model. Methods: Seven rabbits were anesthetized and airway ultrasound acquisitions were done. Results: Tracheal tube progression along the trachea to the right bronchus and positioning of the bronchial blocker in the left bronchus were successfully done with consistent ultrasound identification of relevant anatomical structures. Conclusion: The study provided a new application of ultrasound in airway management. More advanced experimental studies are needed since this technique has the potential for translation to pediatric anesthesia.

Distinct Epithelial Cell Profiles in Normal Versus Induced-Congenital Diaphragmatic Hernia Fetal Lungs.

Background: Recent studies identified a great diversity of cell types in precise number and position to create the architectural features of the lung that ventilation and respiration at birth depend on. With damaged respiratory function at birth, congenital diaphragmatic hernia (CDH) is one of the more severe causes of fetal lung hypoplasia with unspecified cellular dynamics. Objectives:  To characterize the epithelial cell tissue in hypoplastic lungs, a careful analysis regarding pulmonary morphology and epithelial cell profile was conducted from pseudoglandular-to-saccular phases in normal versus nitrofen-induced CDH rat lungs. Design: Our analysis comprises three experimental groups, control, nitrofen (NF) and CDH, in which the relative expression levels (western blot) by group and developmental stage were analyzed in whole lung. Spatiotemporal distribution (immunohistochemistry) was revealed by pulmonary structure during normal and hypoplastic fetal lung development. Surfactant protein-C (SP-C), calcitonin gene-related peptide (CGRP), clara cell secretory protein (CCSP), and forkhead box J1 (FOXJ1) were the used molecular markers for alveolar epithelial cell type 2 (AEC2), pulmonary neuroendocrine, clara, and ciliated cell profiles, respectively. Results: Generally, we identified an aberrant expression of SP-C, CGRP, CCSP, and FOXJ1 in nitrofen-exposed lungs. For instance, the overexpression of FOXJ1 and CGRP in primordia of bronchiole defined the pseudoglandular stage in CDH lungs, whereas the increased expression of CGRP in bronchi; FOXJ1 and CGRP in terminal bronchiole; and SP-C in BADJ classified the canalicular and saccular stages in hypoplastic lungs. We also described higher expression levels in NF than CDH or control groups for both FOXJ1 in bronchi, terminal bronchiole and BADJ at canalicular stage, and SP-C in bronchi and terminal bronchiole at canalicular and saccular stages. Finally, we report an unexpected expression of FOXJ1 in BADJ at canalicular and saccular stages, whereas the multi cilia observed in bronchi were notably absent at embryonic day 21.5 in induced-CDH lungs. Conclusion: The recognized alterations in the epithelial cell profile contribute to a better understanding of neonatal respiratory insufficiency in induced-CDH lungs and indicate a problem in the epithelial cell differentiation in hypoplastic lungs.

Constipation: Prevalence in the Portuguese community using Rome IV-Associated factors, toilet behaviours and healthcare seeking.

BACKGROUND: Chronic constipation (CC) is a major public health condition and CC management remains challenging. OBJECTIVE: We aimed to evaluate the CC (and subtypes) prevalence in a Southern Europe Mediterranean country using Rome IV criteria, and to assess related factors, toilet and healthcare seeking behaviours. METHODS: Cross-sectional epidemiological survey, conducted in general community and representing the Portuguese population according to sex and age. The questionnaire covered bowel habits, factors potentially associated with CC (demographic, health/lifestyle, toilet behaviours) and data regarding healthcare seeking. RESULTS: From the study data of 1950 individuals were analyzed. The answer rate was 68% and 1335 questionnaires were available for calculation. The CC prevalence was 17.8%, with respectively 9.3% of Functional Constipation (FC) and 8.5% of Irritable Bowel Syndrome - subtype constipation (IBS-C). The likelihood of constipation was significantly higher in younger (OR 1.01; 95% confidence interval [CI], 1.007-1.031), solo (OR 2.48; 95% CI, 1.7-3.47) and low-income (OR 2.40; 95% CI, 1.77-3.47) individuals. Constipated individuals spent more time at defecation, longer than 5 min (p = 0.001), and had particular toilet behaviours (absence of a morning pattern [p = 0.008], the use of triggers [p = 0.001] and reading/technological material [p = 0.006]) to facilitate the evacuation. Only 39% of affected individuals sought medical advice, mainly IBS-C patients (p = 0.018). CONCLUSION: Chronic constipation seems to impact 1 in each 5 Portuguese. Constipated patients are younger, solo, less active and with low income. They develop a clear toilet behaviour profile. FC and IBS-C patients assume particular behaviours.

Study of the compression behavior of functionally graded lattice for customized cranial remodeling orthosis.

Deformational plagiocephaly is a head deformity that occurs in newborns, treated in severe cases with helmets named cranial remodeling orthoses (CRO). Current CROs can fail to adapt to head growth, causing excessive pressure sores and other complications, and may lead to poor clinical results. In this work, we experimentally and numerically study the compressive behavior of a functionally graded lattice that may be used in future work as a potential inner lining for a CRO with a customized density distribution. This work is divided into five stages. First, we describe the design of all lattices involved in the study. Second, we measure the mechanical properties of the bulk material used in the manufacturing of the lattices. Third, we study the effect of unit cell size variation, testing three homogenous body-centered cubic (BCC) lattices, and creating a numerical model for the prediction of the compressive behavior of various lattices with different unit cell sizes. Fourth, we study the effects of truss diameter variation, designing and testing three homogenous lattices with different truss diameters. Finally, we design a BCC lattice with a truss diameter gradient and analyze compressive deformations in numerical and experimental compression studies. The numerical simulations of the compression of the homogenous and graded lattices agree with the experimental measurements, both in unit cell variation and in truss diameter variation. In the graded lattice, the compression displacements observed in each region are proportional to their density and agree with the numerical simulation. Truss diameter variation was found to have a wider range of compressive responses than unit cell size variation without major changes in the overall geometry of the lattice and found more suitable for the intended application. The studies showed the potential of the functionally graded lattice for use in the CRO.