Development and internal validation of machine learning-based models and external validation of existing risk scores for outcome prediction in patients with ischaemic stroke.

Aims: We developed new machine learning (ML) models and externally validated existing statistical models [ischaemic stroke predictive risk score (iScore) and totalled health risks in vascular events (THRIVE) scores] for predicting the composite of recurrent stroke or all-cause mortality at 90 days and at 3 years after hospitalization for first acute ischaemic stroke (AIS).

Methods And Results: In adults hospitalized with AIS from January 2005 to November 2016, with follow-up until November 2019, we developed three ML models [random forest (RF), support vector machine (SVM), and extreme gradient boosting (XGBOOST)] and externally validated the iScore and THRIVE scores for predicting the composite outcomes after AIS hospitalization, using data from 721 patients and 90 potential predictor variables. At 90 days and 3 years, 11 and 34% of patients, respectively, reached the composite outcome.

An artificial intelligence approach for predicting death or organ failure after hospitalization for COVID-19: development of a novel risk prediction tool and comparisons with ISARIC-4C, CURB-65, qSOFA, and MEWS scoring systems.

Background: We applied machine learning (ML) algorithms to generate a risk prediction tool [Collaboration for Risk Evaluation in COVID-19 (CORE-COVID-19)] for predicting the composite of 30-day endotracheal intubation, intravenous administration of vasopressors, or death after COVID-19 hospitalization and compared it with the existing risk scores.

Methods: This is a retrospective study of adults hospitalized with COVID-19 from March 2020 to February 2021. Patients, each with 92 variables, and one composite outcome underwent feature selection process to identify the most predictive variables.

Characteristics, Treatment Patterns, and Clinical Outcomes After Heart Failure Hospitalizations During the COVID-19 Pandemic, March to October 2020.

Objective: To compare clinical characteristics, treatment patterns, and 30-day all-cause readmission and mortality between patients hospitalized for heart failure (HF) before and during the coronavirus disease 2019 (COVID-19) pandemic.

Patients And Methods: The study was conducted at 16 hospitals across 3 geographically dispersed US states. The study included 6769 adults (mean age, 74 years; 56% [5033 of 8989] men) with cumulative 8989 HF hospitalizations: 2341 hospitalizations during the COVID-19 pandemic (March 1 through October 30, 2020) and 6648 in the pre-COVID-19 (October 1, 2018, through February 28, 2020) comparator group.

Hyperlipidaemia and mortality among patients hospitalised with pneumonia: retrospective cohort and propensity score matched study.

Objective: To characterise the potential association of hyperlipidaemia (HLP) versus no HLP with all-cause mortality among patients hospitalised for pneumonia.

Design: Propensity score matched retrospective study.

Participants: The study cohort consisted of consecutive 8553 adults hospitalised at a large academic centre with a discharge diagnosis of pneumonia from 1996 through 2015, followed until death or end of the study period, 17 August 2017.

Initial and subsequent 3-year cost after hospitalization for first acute ischemic stroke and intracerebral hemorrhage.

Aims: To examine 1) the major drivers of index hospitalization and 3-year post-acute follow-up care, 2) cost for rehabilitation and homecare, and 3) indirect cost from lost productivity after acute ischemic stroke (AIS) and intracerebral hemorrhage (ICH).

Methods: Retrospective study of adults hospitalized with AIS (n = 811) and ICH (N = 145) between 2003 and 2014. Direct costs standardized to Medicare reimbursement rates were captured for hospitalization and 3-year follow-up or death.

Reining in Sternal Wound Infections: The Achilles' Heel of Bilateral Internal Thoracic Artery Grafting.

Although the survival advantage of bilateral internal thoracic artery grafting (BITA) is well known in patients undergoing coronary artery bypass grafting (CABG), this technique has not been widely adopted. This is mainly because of the increased risk of deep sternal wound infections (DSWI) associated with its use. However, in recent years the overall risk of DSWI has decreased.

Minimally Invasive Approaches to Surgical Aortic Valve Replacement: A Meta-Analysis.

Background: Limited data exist studying the outcomes of the 2 minimally invasive aortic valve replacement (AVR) strategies-mini-sternotomy (AVR-st) and right anterior thoracotomy (AVR-th). We conducted an indirect meta-analysis to compare the outcomes of these minimally invasive approaches with each other and with conventional AVR (cAVR).

Methods: We Searched Medline, PubMed, Embase, and Web of Science in December 2017 for studies comparing AVR-st, AVR-th, and cAVR.

An exploratory study of the use of advance directives by US oncologists.

Purpose: This study sought to determine the rate of advance directive completion among US oncologists and factors influencing such a decision.

Methods: We surveyed 7590 members of the American Society of Clinical Oncology using a web-based questionnaire.

Results: The response rate was 8.

Diagnosis of coronary artery fistulas: clinical aspects and brief review of the literature.

An 86-year-old woman with history of hypertension, diabetes, hyperlipidemia, and coronary artery disease was admitted with new-onset congestive heart failure and pneumonia. She underwent coronary angiography after suffering a non-ST elevation myocardial infarction. There was severe coronary artery disease in addition to coronary artery-pulmonary fistulas involving proximal right coronary artery and a branch of left main coronary artery.