Publications by authors named "Marco Huesch"

Objective: We sought to compare variability in serum creatinine among inpatients in our institution receiving contrast imaging studies and among inpatients not receiving such studies.

Materials And Methods: This retrospective, single-site, multiple-cohort study in a 550-bed academic medical center in October 2016 used the electronic medical record data to analyze the greatest absolute and relative changes in serum creatinine over periods no longer than 48 hours (1) during the admission for 1,134 patients who did not receive a contrast imaging study, (2) before the earliest contrast study for 155 patients who had not yet had a scheduled contrast examination, and (3) straddling the time when 266 patients received their earliest contrast study. We compared creatinine changes in the first cohort with those in the second and the third using histograms and t tests.

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  • The study aimed to analyze language variability in free text reports from pulmonary embolus (PE) CT studies and explore how well machine learning can predict PE diagnoses from these reports.
  • Data was collected from 1,133 chest CTs conducted in 2016, revealing significant differences in report lengths and terminology, with many terms being rarely used.
  • The machine learning analysis showed high sensitivity but low specificity and positive predictive value in diagnosing PE, highlighting the challenges of interpreting free text reports and suggesting the need for structured reporting formats.
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This secondary analysis of the Systolic Blood Pressure Intervention trial examines whether a treatment program aimed at reducing systolic blood pressure to a lower goal than currently recommended would reduce cardiovascular disease risk among patients without diabetes.

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Objective: To examine real-world outcomes of survival, length of stay, and discharge destination, among all adult extracorporeal membrane oxygenation admissions in one state over nearly a decade.

Design: Retrospective analysis of administrative discharge data.

Setting: State-wide administrative discharge data from Pennsylvania between 2007 and 2015.

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This article seeks to understand whether a volume-outcome relationship exists in adult extracorporeal membrane oxygenation (ECMO). We examined primary administrative discharge data from the Pennsylvanian Health Care Cost Containment Council for all 2,948 consecutive adults treated with ECMO in Pennsylvania between January 1, 2007, and December 31, 2015. We used a well-fitting backwards stepwise logistic regression to obtain patient-level predicted mortality.

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Background: Real-world evidence of statin side effects is potentially biased because statin use is neither randomized nor unblinded. An innovative study design can mitigate these biases. For example, in the recent ASCOT-LLA trial, patient-reported adverse events such as muscle pain and weakness were higher in the non-randomized and non-blinded setting than in the randomized, blinded setting.

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  • Surveillance of drug safety post-marketing involves various methods, including provider reports and electronic records, but there are challenges in effectiveness and costs.
  • A new data-mining tool from Sysomos analyzed Facebook mentions of statins and related side effects over a month, revealing that 4.3% of mentions included these side effects.
  • While this percentage aligns with estimates of side effects in patients, the limitations of the tool, particularly a lack of full-text mining, hinder precise content analysis and categorization.
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  • The study aimed to assess the impact of Angelina Jolie's 2013 prophylactic double mastectomy disclosure on screening mammography rates at a medical institution.
  • Researchers analyzed 48,110 screening mammograms conducted over four years to detect any utilization changes using statistical methods.
  • The results showed no significant increase in screening rates following Jolie's news, though a flattening trend in utilization was observed in mid-2014.
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  • Facebook is the leading social networking site in the U.S., primarily used by women to engage with breast cancer screening content nonpublicly.
  • The study aimed to identify common terms related to breast cancer screening, popular links shared by women, and sharing patterns across age groups.
  • Analysis of 1.7 million Facebook interactions revealed women aged 45-54 were most active, with popular links being mostly e-commerce, celebrity news, and advocacy organizations like the American Cancer Society.
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  • ECMO is a critical, complex medical technique used for patients with severe heart or lung issues that has seen increased use over the past 15 years.
  • There is a need for more comprehensive mortality risk analytics in ECMO research to better inform clinicians, patients, and healthcare stakeholders.
  • The authors suggest a way to improve risk analytics for extracorporeal life support (ECLS) to enhance the quality of clinical decision-making and research outcomes.
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Uninsured and underinsured near-elderly may not have timely investigation, diagnosis, or care of cancer. Prior studies suggest Medicare eligibility confers significant and substantial reductions in mortality and increases in health service utilization. We compared 2245 patients diagnosed with lung cancer at ages 64.

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Prior studies suggest Medicare eligibility confers significant and substantial reductions in mortality and beneficial increases in health service utilization. We compared 13,882 patients diagnosed with prostate cancer at ages 63 to 64 years with 14,774 patients diagnosed at ages 65 to 66 (controls) in 2004 to 2007. Compared with controls, patients diagnosed with prostate cancer before Medicare eligibility had no statistically significant or meaningful differences in cancer stage, time to treatment, or type of treatment.

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  • The study aimed to test public health campaigns targeting women interested in maternity care through social media and online platforms like Twitter, Facebook, and Google Search.
  • Each day, the campaigns reached over 140,000 people, generating around 400 interactions, with Facebook and Google performing better in terms of reach and cost-effectiveness compared to Twitter.
  • The findings indicate that online advertising can effectively support public health initiatives, similar to methods used in other industries.
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Background: There is increasing interest in using prediction models to identify patients at risk of readmission or death after hospital discharge, but existing models have significant limitations. Electronic medical record (EMR) based models that can be used to predict risk on multiple disease conditions among a wide range of patient demographics early in the hospitalization are needed. The objective of this study was to evaluate the degree to which EMR-based risk models for 30-day readmission or mortality accurately identify high risk patients and to compare these models with published claims-based models.

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Aim: This study aims to analyze the impacts of a range of clinical evidence generation scenarios associated with comparative effectiveness research (CER) on pharmaceutical innovation.

Materials & Methods: We used the Global Pharmaceutical Policy Model to project the effect of changes in pharmaceutical producer costs, revenues and timings on drug innovation and health for the age 55+ populations in the USA and Europe through year 2060 using three clinical scenarios.

Results: Changes in producer incentives from widespread CER evidence generation and use had varied but often large predicted impacts on simulated outcomes in 2060.

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  • The study investigated the link between maternal health (both observed and unobserved) and cesarean deliveries among African American women in California hospitals.
  • Results showed that cesarean delivery rates were significantly higher for African American women compared to other groups, even after adjusting for various health factors, with an unadjusted cesarean rate of 36.8% among this group.
  • The authors concluded that to better understand and address the higher rates of cesarean deliveries in African American women, it's important to examine unmeasured health factors, the quality of doctor-patient interactions, and patient preferences.
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The use of predictive modeling for real-time clinical decision making is increasingly recognized as a way to achieve the Triple Aim of improving outcomes, enhancing patients' experiences, and reducing health care costs. The development and validation of predictive models for clinical practice is only the initial step in the journey toward mainstream implementation of real-time point-of-care predictions. Integrating electronic health care predictive analytics (e-HPA) into the clinical work flow, testing e-HPA in a patient population, and subsequently disseminating e-HPA across US health care systems on a broad scale require thoughtful planning.

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Objectives: Publicly available hospital quality reports seek to inform consumers of important healthcare quality and affordability attributes, and may inform consumer decision-making. To understand how much consumers search for such information online on one Internet search engine, whether they mention such information in social media and how positively they view this information.

Setting And Design: A leading Internet search engine (Google) was the main focus of the study.

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