Background: Recently, a clinical prediction rule has been proposed to predict the chance of successful endoscopic stenting in benign esophageal anastomotic leakage, perforation and fistula. We aimed to validate this score in a cohort of patients with anastomotic leaks managed with self-expanding metal esophageal stents, by assessing technical and clinical success rates and comparing the agreement between the predicted and the actual clinical success.
Methods: A multicenter retrospective cohort study including patients submitted to endoscopic stenting due to anastomotic leak was conducted. Variables of the score (leak size, location and C-reactive protein) were collected and the chance of success (≤50, 50-70 and ≥70%) and its accuracy was assessed.
Results: Fifty-three patients, submitted to esophageal stenting after cancer (n = 47) and bariatric surgery were included. Clinical success was achieved in 62% of patients. The area under the ROC curve to differentiate between successful and failed therapies showed a good discriminative power of the score (AUC 0.705; P < 0.01). For a predicted chance of success >50%, the positive predictive value was 72.5%; for a chance of success ≤50%, the negative predictive value was 69.2%.
Conclusions: The application of this predictive model in patients with anastomotic leaks proved to be valid in a different cohort from that in which it was derived. Its usefulness in clinical practice may be anticipated, favoring stenting in patients with a chance of success >50%. However, we must be cautious in patients with a lower probability of success and a case-by-case decision should be made.
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http://dx.doi.org/10.1097/MEG.0000000000001621 | DOI Listing |
Hum Reprod Open
November 2024
Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Study Question: How accurately can artificial intelligence (AI) models predict sperm retrieval in non-obstructive azoospermia (NOA) patients undergoing micro-testicular sperm extraction (m-TESE) surgery?
Summary Answer: AI predictive models hold significant promise in predicting successful sperm retrieval in NOA patients undergoing m-TESE, although limitations regarding variability of study designs, small sample sizes, and a lack of validation studies restrict the overall generalizability of studies in this area.
What Is Known Already: Previous studies have explored various predictors of successful sperm retrieval in m-TESE, including clinical and hormonal factors. However, no consistent predictive model has yet been established.
Iran J Nurs Midwifery Res
November 2024
Department of Operating Room, Shoushtar Faculty of Medical Sciences, Shoushtar, Iran.
Background: Considering the importance of using Non-Invasive Ventilation (NIV) in COVID-19-related hypoxemia, the present study was conducted to determine the effective factors on Continuous Positive Airway Pressure (CPAP) failure rate in COVID-19-related hypoxemia.
Materials And Methods: This research was a retrospective cross-sectional study (2021) investigating the records of 200 adult patients with the medical diagnosis of acute respiratory failure (ARF) of COVID-19, admitted to the Intensive Care Unit (ICU) in Shoushtar (southwestern Iran) who underwent CPAP therapy. The Heart rate, Acidosis, Consciousness, Oxygenation, and Respiratory rate (HACOR) scores were measured before the treatment and 1 h after undergoing CPAP treatment.
Ther Adv Med Oncol
January 2025
Division of New Drugs and Early Drug Development, European Institute of Oncology, IRCCS, Via Giuseppe Ripamonti 435, Milan 20141, Italy.
Antibody-drug conjugates (ADCs) have emerged as a transformative approach in cancer therapy by enhancing tumor targeting and minimizing systemic toxicity compared to traditional chemotherapy. Initially developed with chemotherapy agents as payloads, ADCs have now incorporated alternative payloads, such as immune-stimulating agents, natural toxins, and radionuclides, to improve therapeutic efficacy and specificity. A significant advancement in ADC technology is the integration of Proteolysis Targeting Chimeras (PROTACs), which enable the precise degradation of cellular targets involved in tumorigenesis.
View Article and Find Full Text PDFCureus
December 2024
Orthopaedic Surgery, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, USA.
: Objective data examining match trends and applicant characteristics are in high demand given the stakes involved with the orthopaedic surgery match. Our study sought to analyse the trends among matched orthopaedic surgery applicants to clarify how medical students can best prepare for and assess their chances of a successful orthopaedic residency match. : We used the publicly available National Residency Matching Program (NRMP) tool to gather characteristics for matched and unmatched orthopaedic surgery applicants from 2016 to 2022 and compare the probability of matching for all applicants versus each subgroup of reported applicant characteristics using risk difference (RD) and two-tailed p-values.
View Article and Find Full Text PDFHeliyon
December 2024
Faculty of Chemical Engineering, Tarbiat Modares University, Tehran, Iran.
A magnetic nano-composite coagulant has been designed, originally applied in a specific industrial waste-water treatment, and statistically investigated using Central Composite Design (CCD). The generated polynomial models were utilized to achieve a comprehensive understanding of the impact of each ingredient of PolyAluminum Chloride (PAC), PolyAcrylAmide (PAM), and Iron (III) oxide magnetic nano particles (MNP) regarding optimum limits and conditions. The concentration of each of those components has been considered as the main effective factors, which are found to be significantly correlated, affecting the Total Dissolved Solid (TDS) removal (%), the Total Suspended Solid (TSS) removal (%), and the Turbidity Reduction Rate (TRR) NTU/min.
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