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Objective: To quantify the rate of low-yield surgery, defined as no highgrade dysplastic precursor lesions or T1N0M0 pancreatic cancer at pathology, during pancreatic cancer surveillance. Background: Global efforts have been made in pancreatic cancer surveillance to anticipate the diagnosis of pancreatic cancer at an early stage and improve survival in high-risk individuals (HRIs) with a hereditary predisposition. The negative impact of pancreatic cancer surveillance when surgery is performed for low-grade dysplasia or a non-neoplastic condition is not well quantified. Materials and Methods: A systematic search and prevalence meta-analysis was performed for studies reporting surgery with final diagnoses other than those defined by the Cancer of the Pancreas Screening (CAPS) goals from January 2000 to July 2023. The secondary outcome was the pooled proportion of final diagnoses matching the CAPS goals (PROSPERO: #CRD42022300408). Results: Twenty-three articles with 5027 patients (median 109 patients/ study, interquartile range 251) were included. The pooled prevalence of low-yield surgery was 2.1% (95% CI: 0.9-3.7, I2: 83%). In the subgroup analysis, this prevalence was nonsignificantly higher in studies that only included familial pancreatic cancer subjects without known pathogenic variants, compared with those enrolling pathogenic variant carriers. No effect modifiers were found. Overall, the pooled prevalence of subjects under surveillance who had a pancreatic resection that contained target lesions was 0.8% (95% CI, 0.3-1.5, I2: 24%]. The temporal analysis showed that the rate of low-yield surgeries decreased in the last decades and stabilized at around 1% (test for subgroup differences P<0.01). Conclusions: The risk of "low-yield" surgery during pancreatic cancer surveillance is relatively low but should be thoroughly discussed with individuals under surveillance. [ABSTRACT FROM AUTHOR]

The aim of this study was to assess the impact of BMI on perioperative outcomes in patients undergoing VATS lobectomy or segmentectomy. Data from 5088 patients undergoing VATS lobectomy or segmentectomy, included in the VATS Group Italian Registry, were collected. BMI (kg/m2) was categorized according to the WHO classes: underweight, normal, overweight, obese. The effects of BMI on outcomes (complications, 30-days mortality, DFS and OS) were evaluated with a linear regression model, and with a logistic regression model for binary endpoints. In overweight and obese patients, operative time increased with BMI value. Operating room time increased by 5.54 minutes (S.E. = 1.57) in overweight patients, and 33.12 minutes (S.E. = 10.26) in obese patients (P < 0.001). Compared to the other BMI classes, overweight patients were at the lowest risk of pulmonary, acute cardiac, surgical, major, and overall postoperative complications. In the overweight range, a BMI increase from 25 to 29.9 did not significantly affect the length of stay, nor the risk of any complications, except for renal complications (OR: 1.55; 95% CI: 1.07–2.24; P = 0.03), and it reduced the risk of prolonged air leak (OR: 0.8; 95% CI: 0.71–0.90; P < 0.001). 30-days mortality is higher in the underweight group compared to the others. We did not find any significant difference in DFS and OS. According to our results, obesity increases operating room time for VATS major lung resection. Overweight patients are at the lowest risk of pulmonary, acute cardiac, surgical, major, and overall postoperative complications following VATS resections. The risk of most postoperative complications progressively increases as the BMI deviates from the point at the lowest risk, towards both extremes of BMI values. Thirty days mortality is higher in the underweight group, with no differences in DFS and OS. [Display omitted] [ABSTRACT FROM AUTHOR]

Accurate estimation of survival and recurrence are important to inform decisions regarding therapy and surveillance. We sought to design and validate a dynamic prognostic model for patients undergoing resection for gastric adenocarcinoma. Patients who underwent curative-intent surgery for gastric adenocarcinoma between 2000 and 2020 were identified using a multi-institutional database. Landmark analysis was used to create dynamic OS and DFS prediction models. Model performance was internally cross-validated via bootstrap resampling. Among 895 patients, 507 (57.2%) patients underwent partial gastrectomy (n = 507, 57.2%) while 380 (42.8%) had total gastrectomy. Median tumor size was 40 mm (IQR: 25–65), most tumors were located in the antrum (n = 344, 39.5%) and infiltrated the subserosa (T3 tumors: n = 283, 31.9%) or serosa (T4 tumors: n = 253, 28.5%); lymph node metastasis occurred in 528 (59.1%) patients. Median OS and DFS were 17.5 (IQR: 7.5–42.8) and 14.3 months (IQR: 6.5–39.9), respectively. The impact of age, sex, preoperative comorbidities, tumor size and location, extent of lymphadenectomy and total number of lymph nodes examined, Lauren class, T and N category, postoperative complications, and tumor recurrence varied over time (all p < 0.05). An online tool to predict dynamic OS and DFS based on patient survival relative to time survived was developed and made available for clinical use. Discrimination ability of OS and DFS was excellent (C-index: 0.84 and 0.86, respectively) and calibration plots revealed good prediction. An online dynamic prognostic tool was developed and validated to predict OS and DFS following resection of gastric adenocarcinoma. Landmark analysis to predict long-term outcomes based on follow-up time may be helpful to surgeons and patients. [ABSTRACT FROM AUTHOR]

BACKGROUND: The assessment of diaphragmatic kinetics through tissue Doppler imaging (dTDI) was recently proposed as a means to describe diaphragmatic activity in both healthy individuals and intubated patients undergoing weaning from mechanical ventilation. Our primary aim was to investigate whether the diaphragmatic excursion velocity measured with dTDI at the end of a spontaneous breathing trial (SBT) was different in subjects successfully extubated versus those who passed the trial but exhibited extubation failure within 48 h after extubation. METHODS: We enrolled 100 adult subjects, all of whom had successfully passed a 30-min SBT conducted in CPAP of = cm H2O. In cases of extubation failure within 48 h after liberation from invasive mechanical ventilation, subjects were re-intubated or supported through noninvasive ventilation. dTDI was performed at the end of the SBT to assess excursion, velocity, and acceleration. RESULTS: Extubation was successful in 79 subjects, whereas it failed in 21 subjects. The median (interquartile range [IQR]) inspiratory peak excursion velocity (3.1 [IQR 2.0-4.3] vs 1.8 [1.3-2.6] cm/s, P < .001), mean velocity (1.6 [IQR 1.2-2.4] vs 1.1 [IQR 0.8-1.4] cm/s, P < .001), and acceleration (8.8 [IQR 5.0-17.8] vs 4.2 [IQR 2.4-8.0] cm/s², P = .002) were all significantly higher in subjects who failed extubation compared with those who were successfully extubated. Similarly, the median expiratory peak relaxation velocity (2.6 [IQR 1.9-4.5] vs 1.8 [IQR 1.2-2.5] cm/s, P < .001), mean velocity (1.1 [IQR 0.7-1.7] vs 0.9 [IQR 0.6-1.0] cm/s, P = .002), and acceleration (11.2 [IQR 9.1-19.0] vs 7.1 [IQR 4.6-12.0] cm/s², P = .004) were also higher in the subjects who failed extubation. CONCLUSIONS: In our setting, at the end of SBT, subjects who developed extubation failure within 48 h after extubation experienced a greater diaphragmatic activation compared with subjects who were successfully extubated. (ClinicalTrials.gov registration NCT03962322.) [ABSTRACT FROM AUTHOR]

This study sought to evaluate the potential clinical impact of using 3-dimensional echocardiography (3DE) to measure left ventricular ejection fraction (LVEF) in patients considered for implantable cardioverter-defibrillator (ICD) implantation and to assess the predictive value of 3DE LVEF for arrhythmic events. ICD therapy is currently recommended to prevent sudden cardiac death in patients with symptomatic heart failure and LVEF ≤35%, and in asymptomatic patients with ischemic heart disease and LVEF ≤30%. Two-dimensional echocardiography (2DE) is currently used to calculate LVEF. However, 3DE has been reported to be more reproducible and accurate than 2DE to measure LVEF. The study prospectively enrolled 172 patients with LV dysfunction (71% ischemic). Both 2DE and 3DE LVEF were obtained during the same study. The outcome was the occurrence of major arrhythmic events (sudden cardiac death, aborted cardiac arrest, appropriate ICD therapy). After a median follow up of 56 (range 18 to 65) months, major arrhythmic events occurred in 30% of the patients. Compared with 2DE, 3DE changed the assignment above or below the LVEF thresholds for ICD implantation in 20% of patients, most of them having 2DE LVEFs within ± 10% from threshold. By cause-specific hazard model, 3DE LVEF was the only independent predictor of the occurrence of major arrhythmic events. LVEF by 3DE was an independent predictor of major arrhythmic events and improved arrhythmic risk prediction in patients with LV dysfunction. When compared with 2DE LVEF, 3DE measurement of LVEF may change the decision to implant an ICD in a sizable number of patients. [ABSTRACT FROM AUTHOR]

Aim: Describe the ability to identify the movement performed by a patient in bed using four pressure sensors and assess how an algorithm describes the movements of the person in bed using data from the sensors to develop continuous assessment of pressure ulcers risk. Method: Data were collected through a standardized videotaped session in which each subject performed a series of movements/ positions in bed (figure 1). Data labeling was manually performed by comparing them with the images. Results / Discussion: Data analysis has not yet been completed for all the data collected, but that of the first 128 volunteers allows the description of some preliminary results to confirm the feasibility of the system developed and the labeling of signals coming from the sensors that were able to identify the subject's movements. The study conducted so far has demonstrated the feasibility of the system of data collection allowing us to confirm the usefulness and reliability of the data stream transmitted by the bed sensor system, the proper labeling of the originated data, and a proper implementation of the data collection scheme that has so far been used, enabling the development of an automated data labeling system (neural network) that will enable the automation of the active mobilization monitoring system of the bed-occupant. Conclusion: There are many benefits that the tool could bring to clinical practice, optimizing preventive interventions and individualizing nursing care, but completion of the study and a subsequent trial in the end-use setting by enrolling subjects from a population at risk of pressure ulcers is needed to confirm this hypothesis. [ABSTRACT FROM AUTHOR]

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Copyright of Archivos Latinoamericanos de Nutrición is the property of Sociedad Latinoamericana de Nutricion and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Archivos Latinoamericanos de Nutrición is the property of Sociedad Latinoamericana de Nutricion and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)