Purpose: To identify the causes of prolonged length of hospital stay (LOHS) of patients treated with flexible ureteroscopy (fURS). The secondary endpoint was to identify the predictors of complications.
Methods: A retrospective single-center cohort study was conducted between January 2011 and December 2015. All consecutive patients treated with a planned fURS, regardless of the indication, AND stayed hospitalized for at least one additional day compared to the traditional postoperative LOHS of our center (=1 day) were included. A multivariate analysis was performed to investigate predictive factors of prolonged LOHS.
Results: Two hundred and seventy-two patients were included in the final analysis. The median duration of LOHS was two days [2-18]. Forty-seven percent of patients were discharged beyond day 1 and had no complication. Among them, 56% stayed for simple surveillance decided by the surgeon without any specific treatment introduced and 52% stayed for continuation of intravenous preoperative antibiotics. Of the remaining 144 patients who had a complication, 85.4% (123/144) had a minor complication (Clavien 1 or 2). In multivariate analysis, predictive factors of prolonged LOHS (discharge after day 1) were neurological comorbidities (paraplegia, spina bifida, multiple sclerosis) with an odds ratio of 4.39 [1.7; 11.4].
Conclusions: The causes of prolonged LOHS were mainly related to comorbidities. A number of patients stayed hospitalized without complications. The identification of predictive factors of complications and prolonged LOHS may allow better selection of patients eligible for outpatient surgery and select those for whom inpatient surgery is still recommended.
Level Of Evidence: 3.
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http://dx.doi.org/10.1016/j.purol.2019.12.005 | DOI Listing |
JMIR AI
January 2025
Department of Information Systems and Business Analytics, Iowa State University, Ames, IA, United States.
Background: In the contemporary realm of health care, laboratory tests stand as cornerstone components, driving the advancement of precision medicine. These tests offer intricate insights into a variety of medical conditions, thereby facilitating diagnosis, prognosis, and treatments. However, the accessibility of certain tests is hindered by factors such as high costs, a shortage of specialized personnel, or geographic disparities, posing obstacles to achieving equitable health care.
View Article and Find Full Text PDFJ Mol Med (Berl)
January 2025
Hospital Sensory Department, Shenzhen Qianhai Shekou Free Trade Zone Hospital, 36 Gongye Qi Road, Nanshan District, Shenzhen, 518067, China.
This work researched the influence and mechanism of CD155 on hepatocellular carcinoma advancement. CD155 expression and its effect on survival of hepatocellular carcinoma patients were analyzed based on the GEPIA2 database. String software predicted the interacting between CD155 and CD96, which was further verified by co-immunoprecipitation experiment.
View Article and Find Full Text PDFBioinformatics
January 2025
Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, United States.
Motivation: The accurate prediction of O-GlcNAcylation sites is crucial for understanding disease mechanisms and developing effective treatments. Previous machine learning models primarily relied on primary or secondary protein structural and related properties, which have limitations in capturing the spatial interactions of neighboring amino acids. This study introduces local environmental features as a novel approach that incorporates three-dimensional spatial information, significantly improving model performance by considering the spatial context around the target site.
View Article and Find Full Text PDFBull Math Biol
January 2025
Department of Mathematics, University of Manitoba, 340 UMSU University Centre, Winnipeg, MB, R3T 2N2, Canada.
The immune checkpoint inhibitor, anti-programmed death protein-1 (anti-PD-1), enhances adaptive immunity to kill tumor cells, and the oncolytic virus (OV) triggers innate immunity to clear the infected tumor cells. We create a mathematical model to investigate how the interaction between adaptive and innate immunities under OV and anti-PD-1 affects tumor reduction. For different immunity strength, we create the corresponding virtual baseline patients and cohort patients to decipher the major factors determining the treatment outcome.
View Article and Find Full Text PDFDiscov Oncol
January 2025
Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, 230000, China.
Aim: To construct a predictive model based on the LODDS stage established for patients with late-onset colon adenocarcinoma to enhance survival stratification.
Methods: Late-onset colon adenocarcinoma data were obtained from the public database. After determining the optimal LODDS truncation value for the training set via X-tile software, we created a new staging system by integrating the T stage and M stage.
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