Petra Martina Baumann

Petra Martina Baumann
Medical University of Graz · Abteilung für Endokrinologie und Stoffwechsel

MA, Mag.phil., Bakk.phil.

About

26
Publications
972
Reads
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136
Citations
Citations since 2017
14 Research Items
136 Citations
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2017201820192020202120222023051015202530
Introduction
Multilevel modeling - Monte Carlo simulation - Medical statistics
Additional affiliations
April 2020 - present
Medical University of Graz
Position
  • Statistician
May 2014 - present
Joanneum Research Forschungsgesellschaft mbH
Position
  • Researcher
Description
  • (on educational leave since 10/2016)
May 2014 - present
Karl-Franzens-Universität Graz
Position
  • PhD Student
Education
October 2008 - March 2010
Karl-Franzens-Universität Graz
Field of study
  • Sociology
August 2007 - June 2008
University of Minnesota Twin Cities
Field of study
  • German Studies, Sociology
October 2006 - August 2009
Karl-Franzens-Universität Graz
Field of study
  • German Studies

Publications

Publications (26)
Article
Continuous glucose monitoring (CGM) provides a more holistic picture of glycemic control than capillary blood glucose (BG) measurements. We simulated CGM use with a clinical decision support system (cDSS) with a basal-bolus insulin algorithm using CGM values recorded at the same time (CGM0) vs. 15 minutes after the BG measurement (CGM+15) to simula...
Article
Compared to time below range less is known about the frequency and temporal distribution of hypoglycemic episodes in CGM data. Pooled analysis of long-duration CGM data from a diabetes registry allows for large-scale exploration of sensor-detected hypoglycemic episodes (SDHE) . 66 patients with T1D used CGM over 365.7 (340.6-392.5) days (24.530 day...
Article
Aims: Fasting periods represent a significant challenge for glycaemic control in hospitalised patients. The study aims to evaluate the efficacy and safety of basal-bolus insulin therapy in managing glycaemia during fasting periods in hospitalised patients with type 2 diabetes. Materials and methods: We performed a post-hoc analysis of two prospe...
Article
Guidelines recommend insulin therapy and the use of clinical decision support systems to manage hyperglycemia and diabetes mellitus in hospitalized patients. The aim of the study was to evaluate glycemic control using insulin degludec in an algorithm driven electronic decision support system in hospitalized patients with type 2 diabetes (T2D). The...
Article
Full-text available
Outlier detection in multivariate data is an important topic across various disciplines, especially when dealing with high amounts of data. This publication focuses on the practical impact of data preparation techniques for outlier detection in driveability data. Driveability (also referred to as drive quality) is a key decisive factor for the mark...
Article
Full-text available
Patients with previous diabetic foot ulcer are prone to re-ulceration and (re)amputation, to various comorbidities, have significantly impaired quality of life and increased mortality. We aimed to evaluate the risk of foot related complications and mortality in a high-risk population of patients with healed diabetic foot syndrome over a decade. 91...
Article
Full-text available
Background Studies have shown that overnight closed-loop insulin delivery can improve glucose control and reduce the risk of hypoglycemia and hence may improve metabolic outcomes and reduce burden for children with type 1 diabetes and their families. However, research so far has not reported insulin levels while comparing closed-loop to open-loop i...
Article
Background and aims: It has been suggested that in long-standing, C-peptide negative type 1 diabetes not only insulin secretion is disturbed but also counter-regulatory response to hypoglycaemia and in particular adequate glucagon secretion is blunted. Glucagon response to hypoglycaemia was tested in a hypoglycaemic clamp setting (clamp) vs. mimick...
Conference Paper
Multi-country data sets analyzed via multilevel modeling are popular in sociology. One prerequisite for valid results from multilevel models is random sampling on each level. However, multi-country data often inherently suffer from sampling bias, on the country as well as on the individual level. Ignoring the rather theoretical question if there ac...
Article
The purpose of this study was to characterize the heterogeneity of oxygen partial pressure in different adipose tissue zones and to assess the possibility of compensating these heterogeneities during optical glucose measurements. In this proof of concept study, the heterogeneity of oxygen partial pressure was determined in the adipose tissue of a p...
Article
Continuous and flash glucose monitoring (GM) systems have been established in diabetes care. We compared the sensor performance of 3 commercially available GM systems. A total of 12 patients with type 1 diabetes were included in a single-centre, open-label study in which the sensor performance of the Abbott FreeStyle libre (Abbott), Dexcom G4 Plati...
Poster
Glucagon Response in C-Peptide Positive vs. C-Peptide Negative Patients with Type 1 Diabetes under Hypoglycemic Clamp vs. Real-Life Setting
Article
Full-text available
Introduction: Continuous glucose monitoring (CGM) has become an essential tool in diabetes management. In order to use CGM for treatment decisions, CGM systems have to be reliable over a wide range of glycemia as well as in situations with rapidly changing glucose levels such as exercise or in the postprandial state. Design: In this monocentric stu...
Poster
Glucagon Response Is Similar in People with Long Versus Short Standing Diabetes Mellitus Type 1
Poster
Evaluation of Overnight Insulinemia and Venous Glucose Profiles , in Closed and Open Loop System, in Children, 6 to 12 years, with Type 1 Diabetes

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Projects

Projects (2)
Project
This PhD thesis aims at adding to the existing literature the assessment of multilevel model performance in scenarios typical for sociology, including, among others, violations of normality assumptions, specific sample and inference issues as well as the impact of missing data. All scenarios will be realized with both simulated and real-life data. The results are intended to help sociologists make better-informed decisions about the models they plan to apply and thus further improve the quality of sociological research.