The objective of this study is to develop a model for predicting the time of early symptomatic (delayed or nonhealing wound) restenosis after infrapopliteal angioplasty in patients with critical limb ischemia (CLI). This is a single-center retrospective cohort study evaluating 60 de novo infrapopliteal lesions of 38 limbs in 35 patients with CLI, who underwent successful endovascular treatment (EVT) from October 2016 to December 2018 and follow-up angiography within 3 months from the procedure. Outcome measures were binary restenosis at follow-up angiography and clinical outcome at 3 months. Patient/limb/lesion characteristics were compared between the restenosis and non-restenosis groups. Angiographic restenosis predictors were assessed to develop a model for predicting the time of restenosis using multinomial logistic regression. The restenosis rate at follow-up angiography (median time, 41 days [IQR 27-58 days]) was 38% (23/60). After adjustment for covariables, longer period between EVT and follow-up angiography and lower C-reactive protein (CRP) were the predictors of angiographic restenosis. We developed a model for predicting the time of early symptomatic restenosis with a probability of 70%: "Days = 200 - 2.1 age - 13 CTO + 3.3 CRP" (R = 0.81, RMSE = 0.27), e.g., 80 years old, CTO (+), CRP 4.4 mg/dl: 32.2 days. The predictive model including age, CTO, and CRP might allow estimation of the period for the angiographic restenosis development.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s12928-020-00691-1DOI Listing

Publication Analysis

Top Keywords

model predicting
16
predicting time
16
follow-up angiography
16
time early
12
early symptomatic
12
angiographic restenosis
12
restenosis
10
symptomatic restenosis
8
restenosis infrapopliteal
8
infrapopliteal angioplasty
8

Similar Publications

The feasibility of using machine learning to predict COVID-19 cases.

Int J Med Inform

January 2025

School of Geography and the Environment, University of Oxford, South Parks Road, Oxford OX1 3QY, United Kingdom. Electronic address:

Background: Coronavirus Disease 2019 (COVID-19), caused by the SARS-CoV-2 virus, emerged as a global health crisis in 2019, resulting in widespread morbidity and mortality. A persistent challenge during the pandemic has been the accuracy of reported epidemic data, particularly in underdeveloped regions with limited access to COVID-19 test kits and healthcare infrastructure. In the post-COVID era, this issue remains crucial.

View Article and Find Full Text PDF

Identification of an ANCA-associated vasculitis cohort using deep learning and electronic health records.

Int J Med Inform

January 2025

Rheumatology and Allergy Clinical Epidemiology Research Center and Division of Rheumatology, Allergy, and Immunology, and Mongan Institute, Department of Medicine, Massachusetts General Hospital Boston MA USA. Electronic address:

Background: ANCA-associated vasculitis (AAV) is a rare but serious disease. Traditional case-identification methods using claims data can be time-intensive and may miss important subgroups. We hypothesized that a deep learning model analyzing electronic health records (EHR) can more accurately identify AAV cases.

View Article and Find Full Text PDF

Feeding pigs lipids containing high levels of lipid oxidation products (LOP) has been shown to reduce growth performance, but data is lacking on quantitative relationships between LOP and pig growth, feed intake and feed efficiency. Four experiments (EXP) were conducted using soybean oil (SO) in EXP 1, 2, and 3, as well as SO, choice white grease (CWG) and palm oil (PO) in EXP 4, to evaluate the impact of feeding diets containing different amounts of LOP on pig performance. Lipid peroxidation was carried out using variable heating temperatures and durations to generate lipids with a broad range of peroxide (PV, mEq) and anisidine value (AnV, unitless).

View Article and Find Full Text PDF

Background: An association exists between obesity and reduced testosterone levels in males. The propose of this research is to reveal the correlation between 15 indices linked to obesity and lipid levels with the concentration of serum testosterone, and incidence of testosterone deficiency (TD) among adult American men.

Methods: The study utilized information gathered from the National Health and Nutrition Examination Survey (NHANES) carried out from 2011 to 2016.

View Article and Find Full Text PDF

A Nomogram utilizing ECG P-wave parameters to predict recurrence risk following catheter ablation in paroxysmal atrial fibrillation.

J Cardiothorac Surg

January 2025

Department of Cardiology, Fujian Medical University Union Hospital, Fujian Heart Medical Center, Fujian Institute of Coronary Heart Disease, Fujian Clinical Medical Research Center for Heart and Macrovascular Disease, Fuzhou, 350001, China.

Objective: The objective of this study is to assess the predictive utility of perioperative P-wave parameters in patients with paroxysmal atrial fibrillation (PAF) undergoing catheter ablation, and to develop a predictive model using these parameters.

Methods: A total of 213 patients with PAF undergoing catheter ablation were retrospectively analyzed. P-wave parameters were measured within 3 days preoperatively and on the day postoperatively to determine their predictive significance for postoperative PAF recurrence.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!