ABSTRACT
BACKGROUND: Flooding the surgical field with dry cold CO
Subject(s)
Cardiac Surgical Procedures , Insufflation , Adult , Carbon Dioxide , Cardiac Surgical Procedures/adverse effects , Elective Surgical Procedures , Humans , Humidity , Insufflation/adverse effects , Insufflation/methodsABSTRACT
BACKGROUND: Patients with heart failure (HF) with recovered ejection fraction (HFrecEF) are a recently identified cohort that are phenotypically and biologically different from HFrEF and HFpEF patients. Whether there are unique phenotypes among HFrecEF patients is not known. METHODS: We studied all patients at a large medical center, who had an improvement in LVEF from ≤ 35% to ≥ 50% (LVrecEF) between January 1, 2005 and December 31, 2013. We identified a set of 11 clinical variables and then performed unsupervised clustering analyses to identify unique clinical phenotypes among patients with LVrecEF, followed by a Kaplan-Meier analysis to identify differences in survival and the proportion of LVrecEF patients who maintained an LVEF ≥ 50% during the study period. RESULTS: We identified 889 patients with LVrecEF who clustered into 7 unique phenotypes ranging in size from 37 to 420 patients. Kaplan-Meier analysis demonstrated significant differences in mortality across clusters (logrank p<0.0001), with survival ranging from 14% to 87% at 1000 days, as well as significant differences in the proportion of LVrecEF patients who maintained an LVEF ≥ 50%. CONCLUSION: There is significant clinical heterogeneity among patients with LVrecEF. Clinical outcomes are distinct across phenotype clusters as defined by clinical cardiac characteristics and co-morbidities. Clustering algorithms may identify patients who are at high risk for recurrent HF, and thus be useful for guiding treatment strategies for patients with LVrecEF.
Subject(s)
Heart Failure/therapy , Stroke Volume/physiology , Ventricular Function, Left/physiology , Aged , Aged, 80 and over , Cluster Analysis , Female , Heart Failure/mortality , Heart Failure/physiopathology , Humans , Kaplan-Meier Estimate , Male , Middle Aged , Prognosis , Prospective Studies , Retrospective Studies , Risk Assessment/methods , Risk Assessment/statistics & numerical data , Treatment OutcomeABSTRACT
BACKGROUND: Synthetic data may provide a solution to researchers who wish to generate and share data in support of precision healthcare. Recent advances in data synthesis enable the creation and analysis of synthetic derivatives as if they were the original data; this process has significant advantages over data deidentification. OBJECTIVES: To assess a big-data platform with data-synthesizing capabilities (MDClone Ltd., Beer Sheva, Israel) for its ability to produce data that can be used for research purposes while obviating privacy and confidentiality concerns. METHODS: We explored three use cases and tested the robustness of synthetic data by comparing the results of analyses using synthetic derivatives to analyses using the original data using traditional statistics, machine learning approaches, and spatial representations of the data. We designed these use cases with the purpose of conducting analyses at the observation level (Use Case 1), patient cohorts (Use Case 2), and population-level data (Use Case 3). RESULTS: For each use case, the results of the analyses were sufficiently statistically similar (P > 0.05) between the synthetic derivative and the real data to draw the same conclusions. DISCUSSION AND CONCLUSION: This article presents the results of each use case and outlines key considerations for the use of synthetic data, examining their role in clinical research for faster insights and improved data sharing in support of precision healthcare.
ABSTRACT
Type II endoleak (T2E) leading to aneurysm sac enlargement is one of the challenging complications associated with endovascular aneurysm repair. Recent guidelines recommend embolization of T2E associated with aneurysmal sac enlargement. Various percutaneous and endovascular techniques have been reported for embolization of T2E. We report a novel technique for T2E embolization combining laparoscopic and endovascular approaches using preoperative image fusion. We believe our technique provides a more direct access to the lumbar feeding vessels that is typically challenging with transarterial or translumbar embolization techniques.
ABSTRACT
PURPOSE: A stylet is usually necessary when using the GlideScope(®) videolaryngoscope for orotracheal intubation. A special stylet, the GlideRite(®) Rigid Stylet (GRS), was designed for this purpose. A previous trial involving experienced operators showed that the GRS offered no performance improvement vs a standard malleable stylet (SMS). In our trial, we compared the performance of the GRS with that of the SMS in terms of time to intubation and ease of intubation when used by novice GlideScope(®) operators. METHODS: Sixty patients with normal-appearing airways requiring orotracheal intubation for elective surgery were randomly allocated to be intubated by novice operators with the GlideScope(®), using either the GRS or the SMS. Time to intubation was assessed by a blinded observer, and the operators were blinded until just prior to tracheal intubation. Ease of intubation was assessed by a five-point ordinal scale (from 1- easy to 5 -difficult). Intubation attempts/failures, glottic grades, and usage of external laryngeal manipulation were recorded. RESULTS: There were no significant differences between the GRS and the SMS in terms of the median time to intubation (60 sec, interquartile range [IQR] 48-75 vs 61 sec, IQR 49-75, respectively; P = 0.94) and the ease of intubation (GRS median score: 1.5, IQR 1-2 vs SMS median score: 1, IQR 1-2; P = 0.94). There were no other significant differences between groups. CONCLUSION: The GRS and the SMS have similar performance characteristics when used by novice operators for GlideScope(®)-assisted orotracheal intubation. (Registered at ClinicalTrials.gov: NCT00884754).