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The aim of this study was to evaluate the effect of transcutaneous neuromuscular electrical stimulation (NMES) on muscle strength in septic patients requiring mechanical ventilation (MV). Sixteen septic patients requiring MV and having 1 or more organ failure other than respiratory dysfunction were enrolled within 48 hours from admission to the intensive care unit. Neuromuscular electrical stimulation was administered twice a day on brachial biceps and vastus medialis (quadriceps) of 1 side of the body until MV withdrawal. Blinded investigators measured arm and thigh circumferences, biceps thickness by ultrasonography, and muscle strength after awakening with Medical Research Council scale. Two patients died before strength evaluation and were excluded from the analysis. Neuromuscular electrical stimulation was applied for 13 days (interquartile range, 7-30 days). Biceps (P = .005) and quadriceps (P = .034) strengths were significantly higher on the stimulated side at the last day of NMES. Improvement was mainly observed in more severe and weaker patients. Circumference of the nonstimulated arm decreased at the last day of NMES (P = .015), whereas no other significant differences in limb circumferences or biceps thickness were observed. Neuromuscular electrical stimulation was associated with an increase in strength of the stimulated muscle in septic patients requiring MV. Neuromuscular electrical stimulation may be useful to prevent muscle weakness in this population.

The purpose of the study was to compare gas exchange and lung mechanics between different strategies to select positive end-expiratory pressure (PEEP) in acute respiratory distress syndrome (ARDS). In 20 consecutive ARDS patients, 3 PEEP selection strategies were evaluated. One strategy was based on oxygenation using the ARDS network PEEP/fraction of inspired oxygen (Fio2) table; and two were based on lung mechanics, either PEEP titrated to reach a plateau pressure of 28 to 30 cm H2O as in the ExPress trial or best respiratory compliance method during a derecruitment maneuver. Gas exchange, airway pressures, stress index (SI), and end-expiratory transpulmonary pressure (Ptpe) and end-inspiratory transpulmonary pressure (Ptpi) values were assessed. Data are expressed as median (interquartile range [IQR]). Lower total PEEP levels were observed with the use of the PEEP/Fio2 table (8.7 [6-10] cm H2O); intermediate PEEP levels, with the Best Compliance approach (13.0 [10.2-13.8] cm H2O); and higher PEEP levels, with the ExPress strategy (16.5 [15.0-18.5] cm H2O) (P < .01). Pao2/Fio2 ratio was lower with the PEEP/Fio2 table. Oxygenation with Best Compliance approach and ExPress strategy was not different with lower plateau pressure in the former (23 [20-25] vs 30 [29-30] cm H2O; P < .01). Paco2 was slightly higher with the ExPress method than the others 2 strategies. Negative Ptpe was observed in 35% of the patients with the PEEP/Fio2 table, in 15% applying the Best Compliance, and in only 1 case with the ExPress method. Higher SI and Ptpi, with lower lung compliance, were obtained with ExPress strategy. Using a best respiratory compliance approach resulted in better oxygenation levels without risk of overdistension according to SI and Ptpi, achieving a mild risk of lung collapse according to Ptpe. Impact of 3 strategies of PEEP selection in 20 ARDS patients on Ptpe (C), Ptpi (B), and SI (A). In 35% of the patients, PEEP selection according to ARDS network PEEP/Fio2 table induced negative Ptpe, suggesting alveolar collapse. On the other hand, the ExPress strategy (PEEP level to reach plateau pressure of 28-30 cm H2O) induced SI greater than or equal to 1.1 in 30% of the patients, suggesting alveolar overdistension. The Best Compliance approach (PEEP selection in the decremental PEEP curve after a recruitment maneuver) did not induce increase of the SI, and there was mild risk of lung collapse (only 3 patients had negative Ptpe). [Display omitted]

Little information is available regarding the evaluation of renal volume in healthy Latin-American children of different ages. The objective of this work was to establish a predictive model of renal size (volume and length) and develop a web-based calculator. A selective and representative sample was obtained randomly from the database of healthy children living in Resistencia city, Chaco, Argentina: a) the National Health Program for children under 6 years old; b) school children until 18 years old (primary and middle education). Renal dimensions were obtained by ultrasonography via a single experienced operator at the indicated site (schools or primary health care centers). Renal volume was calculated using Dinkel's formula. A multiple linear regression model was applied using potential predictors. The final model was implemented in a free web-based application. Random selection was made from the database to include 882 subjects with ages between 0.03 and 230.63 months. The data was divided into two sets (one for training and the other for model testing). The training set (423) included 212 (50%) females. Significant predictors included age, height, current weight and birth weight, and the interaction between age and present weight. Using the test dataset, both renal volume and length root mean square errors were 5.06 cm and 0.59 cm. The prediction model was accurate and allowed for the development a freely-available web app: Renal size prediction (https://porbm28.shinyapps.io/RenalVolume/). Once the models are validated by additional studies, the app could be a useful tool to predict renal volume and length in pediatric clinical practice.

In this randomized trial, proportional-assist ventilation with load-adjustable gain factors did not differ significantly from pressure-support ventilation with respect to the time to liberation from mechanical ventilation.

Background We previously published the protocol and statistical analysis plan for a randomized controlled trial of Proportional Assist Ventilation for Minimizing the Duration of Mechanical Ventilation: the PROMIZING study in Trials ( https://doi.org/10.1186/s13063-023-07163-w ). This update summarizes changes made to the statistical analysis plan for the trial since the publication of the original protocol and statistical analysis plan. Methods/design The Proportional Assist Ventilation for Minimizing the Duration of Mechanical Ventilation (PROMIZING) study is a multi-center, open-label, randomized controlled trial designed to determine if ventilation with proportional assist ventilation with load-adjustable gain factors will result in a shorter duration of time spent on mechanical ventilation compared to ventilation with pressure support ventilation for patients with acute respiratory failure. The statistical analysis plan for the trial was incorporated into the original publication of the protocol in Trials ( https://doi.org/10.1186/s13063-023-07163-w ) and was based on version 5.0 of the study protocol and version 1.0 of the statistical analysis plan (SAP), which included plans for both frequentist and Bayesian analyses. We have since updated the SAP to refine the Bayesian analysis plan, update the multistate model diagram, and include plans for a cluster analysis to determine if there is heterogeneity of treatment effect. This update summarizes the changes made and their rationale and provides a refined SAP for the PROMIZING trial with additional background information, in adherence with guidelines for the prospective reporting of SAPs for randomized controlled trials. Trial registration ClinicalTrials.gov Identifier: NCT02447692 prospectively registered May 19, 2015.

Background Proportional assist ventilation with load-adjustable gain factors (PAV+) is a mechanical ventilation mode that delivers assistance to breathe in proportion to the patient’s effort. The proportional assistance, called the gain, can be adjusted by the clinician to maintain the patient’s respiratory effort or workload within a normal range. Short-term and physiological benefits of this mode compared to pressure support ventilation (PSV) include better patient-ventilator synchrony and a more physiological response to changes in ventilatory demand. Methods The objective of this multi-centre randomized controlled trial (RCT) is to determine if, for patients with acute respiratory failure, ventilation with PAV+ will result in a shorter time to successful extubation than with PSV. This multi-centre open-label clinical trial plans to involve approximately 20 sites in several continents. Once eligibility is determined, patients must tolerate a short-term PSV trial and either (1) not meet general weaning criteria or (2) fail a 2-min Zero Continuous Positive Airway Pressure (CPAP) Trial using the rapid shallow breathing index, or (3) fail a spontaneous breathing trial (SBT), in this sequence. Then, participants in this study will be randomized to either PSV or PAV+ in a 1:1 ratio. PAV+ will be set according to a target of muscular pressure. The weaning process will be identical in the two arms. Time to liberation will be the primary outcome; ventilator-free days and other outcomes will be measured. Discussion Meta-analyses comparing PAV+ to PSV suggest PAV+ may benefit patients and decrease healthcare costs but no powered study to date has targeted the difficult to wean patient population most likely to benefit from the intervention, or used consistent timing for the implementation of PAV+. Our enrolment strategy, primary outcome measure, and liberation approaches may be useful for studying mechanical ventilation and weaning and can offer important results for patients. Trial registration ClinicalTrials.gov NCT02447692 . Prospectively registered on May 19, 2015.

Certain fields present significant challenges when attempting to train complex Deep Learning architectures, particularly when the available datasets are limited and imbalanced. Real-time object detection in maritime environments using aerial images is a notable example. Although SeaDronesSee is the most extensive and complete dataset for this task, it suffers from significant class imbalance. To address this issue, we present POSEIDON, a data augmentation tool specifically designed for object detection datasets. Our approach generates new training samples by combining objects and samples from the original training set while utilizing the image metadata to make informed decisions. We evaluate our method using YOLOv5 and YOLOv8 and demonstrate its superiority over other balancing techniques, such as error weighting, by an overall improvement of 2.33% and 4.6%, respectively.

Tropical forests on karstic relief (tropical karst forest) are among the most species-rich biomes. These forests play pivotal roles as global climate regulators and for human wellbeing. Their long-term conservation could be central to global climate mitigation and biodiversity conservation. In Mexico, karst landscapes occupy 20% of the total land surface and are distributed mainly in the southeast of the country, along the eastern slope, and in the Yucatan Peninsula. Within each of these areas, the following types of karst occur: coastal karst, plain karst, hill karst, and mountain karst (low, medium, high). Mountain karst cover 2.07% of Mexico’s land surface and are covered by tropical rainforests, montane cloud forests, and tropical deciduous forests. These are probably one of the most diverse biomes in Mexico. However, the mountain karst forests of Mexico have received little attention, and very little is known about their diversity. Here, we evaluated the vascular plant species richness within the mountain karst forests of Mexico. We assembled the first, largest, and most comprehensive datasets of Mexican mountain karst forest species, from different public databases (CONABIO, GBIF, IBdata-UNAM), which included a critical review of all data. We compiled a list of the families, genera, and species present within the mountain karst forests of Mexico. Taxa that best characterize these forests were identified based on their spatial correlation with this biome. We explored biodiversity patterns, identifying areas with the highest species richness, endemism centers, and areas of relatively low sampling intensity. We found that within the mountain karst forests of Mexico there are representatives of 11,771 vascular plant species (253 families and 2,254 genera), ca. 50% of the Mexican flora. We identified 372 species endemic to these forests. According to preliminary IUCN red list criteria, 2,477 species are under some category of conservation risk, of which 456 (3.8%) are endangered. Most of the Mexican mountain karst forests have been extensively explored and six allopatric, species-rich areas were identified. Compared to other regions in the world, the mountain karst forests of Mexico are one of the most diverse biomes. They contain more species than some entire montane systems in Mexico such as Sierra Madre Oriental, and Sierra Madre del Sur. Also, the mountain karst forests of Mexico are most diverse than similar forests of South America and Asia, even if considering the effect of different sampling areas. The fact that mountain karst forests are embedded in areas of high biotic diversity, probably contributes to their great floristic diversity. Thus, the mountain karst forests of Mexico are an important source of diversity and shelters a large percentage of the Mexican flora.

Patients were tested for readiness for tracheostomy decannulation by either capping the tube and having the patient breathe around it or by monitoring for the need for tracheal suction. Patients who were deemed ready to undergo decannulation according to the suction strategy fared better.

Numerous studies have reported an association between neutrophils and type 2 diabetes mellitus (T2DM), although this relationship remains unclear. To investigate the interaction of neutrophils and a dietary intervention on T2DM incidence after 60 months of follow-up. A comprehensive analysis was conducted on the framework of the CORDIOPREV study, which included 462 patients without T2DM at the beginning of the study, randomly assigned to either a Mediterranean or a low-fat diet; 107 developed T2DM. Absolute neutrophil counts and neutrophil-related ratios were measured. Kaplan-Meier curves showed that the lowest tertile of basal neutrophils was associated with a reduced likelihood of T2DM incidence when compared to the middle (hazard ratio [HR] = 0.499 [95% CI, 0.287-0.866]) and the highest tertiles (HR = 0.442 [95% CI, 0.255-0.768]) in the overall population, after adjusting for clinical variables. This association only remained significant in patients who followed a Mediterranean diet when comparing the lowest to the middle (HR = 0.423 [95% CI, 0.213-0.842]) and the highest tertiles (HR = 0.371 [95% CI, 0.182-0.762]). The predictive capacity yielded an AUC of 0.711 (95% CI, 0.652-0.769), with neutrophils being the most important variable in the in the model. Decrease in neutrophils over the 60 months was associated with increased insulin sensitivity index (R = -0.31; P = .019), particularly in patients who followed the Mediterranean diet. These findings suggest that monitoring neutrophils can help prevent the development of T2DM, as a reduction in neutrophil counts could be associated with improved insulin sensitivity. Following a Mediterranean diet might be a potential strategy to reduce the incidence of T2DM by lowering neutrophil levels. Further research is necessary to gain a deeper understanding regarding this mechanism.