Maximilian Pesta

Dr. Maximilian Pesta

Medizinische Universität Wien, Vienna, Wien, Austria
orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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11 February 2022 in Clinical Nutrition
Verified
Journal Article
Closed access
AFArabella Fischer
Arabella Fischer
AHAnatol Hertwig
Anatol Hertwig
RHRicarda Hahn
Ricarda Hahn
MAMartin Anwar
Martin Anwar
TSTimo Siebenrock
Timo Siebenrock
ETEdda Tschernko
Edda Tschernko

22 August 2022 in Nutrients
Verified
Journal Article
Open access
PDF file
AFArabella Fischer
Arabella Fischer
NKNoemi Kiss
Noemi Kiss
VRValerie-Anna Rudas
Valerie-Anna Rudas
KNKristina Nieding
Kristina Nieding
CVCecilia Veraar
Cecilia Veraar
MHMichael Hiesmayr
Michael Hiesmayr
Measuring skeletal muscle area (SMA) at the third lumbar vertebra level (L3) using computed tomography (CT) is increasingly popular for diagnosing low muscle mass. The aim was to describe the effect of the CT L3 cut-off choice on the prevalence of low muscle mass in medical and surgical patients. Two hundred inpatients, who underwent an abdominal CT scan for any reason, were included. Skeletal muscle area (SMA) was measured according to Hounsfield units on a single CT scan at the L3 level. First, we calculated sex-specific cut-offs, adjusted for height or BMI and set at mean or mean-2 SD in our population. Second, we applied published cut-offs, which differed in statistical calculation and adjustment for body stature and age. Statistical calculation of the cut-off led to a prevalence of approximately 50 vs. 1% when cut-offs were set at mean vs. mean-2 SD in our population. Prevalence varied between 5 and 86% when published cut-offs were applied (p < 0.001). The adjustment of the cut-off for the same body stature variable led to similar prevalence distribution patterns across age and BMI classes. The cut-off choice highly influenced prevalence of low muscle mass and prevalence distribution across age and BMI classes.

24 March 2023 in bioRxiv
Verified
Preprint
Open access
PDF file
MPMaximilian Pesta
Maximilian Pesta
PDPhilip Datler
Philip Datler
GSGeorg Scheriau
Georg Scheriau
PWPeter Wohlrab
Peter Wohlrab
SESabine Eberl
Sabine Eberl
Edda Maria TschernkoEdda Maria Tschernko
Edda Maria Tschernko
Rabbits are frequently used for the examination of the pharmacokinetics and effectiveness of antibiotic substances. However, antibiotics vary substantially in protein binding affecting the concentration of the antimicrobially effective unbound drug. We hypothesized that the binding properties of vancomycin, meropenem and ceftriaxone might vary between human and rabbit plasma. In an in-vitro study we observed dose dependent variability in protein binding of antibiotics between species. Thus, in-vitro-pre-studies are required to guarantee for translational conditions.

20 March 2026 in Nutrients
Verified
Journal Article
Open access
PDF file
AFArabella Fischer-Hammerschmied
Arabella Fischer-Hammerschmied
MPMaximilian Pesta
Maximilian Pesta
AHAnatol Hertwig
Anatol Hertwig
TSTimo Siebenrock
Timo Siebenrock
RHRicarda Hahn
Ricarda Hahn
MHMichael Hiesmayr
Michael Hiesmayr
Background/Objectives: A ratio of subcutaneous adipose tissue to muscle mass may be more informative than defining low subcutaneous adipose tissue and muscle mass separately. The objective of this study was to determine which ultrasound measurement points in the upper and lower extremities predict the subcutaneous adipose tissue (SAT)-to-muscle ratio as measured by gold-standard computed tomography (CT) at the third lumbar vertebra (L3) level. Methods: Two hundred hospitalised patients (41% female; median (Q1–Q3) age: 61.3 (51.0–70.1) years) who underwent an abdominal CT scan for any clinical reason within 48 h prior to extremity ultrasound were included in this prospective observational study conducted from 2017 to 2019. Ultrasound measurements of subcutaneous adipose tissue and muscle thickness were obtained at three measuring points on the thigh and two on the upper arm. On the CT scan at the L3 level, subcutaneous (SAT) and visceral adipose tissue and skeletal muscle area were measured. A linear LASSO (Least Absolute Shrinkage and Selection Operator) model was used to identify which ultrasound sites best predicted the CT L3 SAT-to-muscle ratio. Results: Height, weight, sex, SAT-to-muscle ratio at four ultrasound measuring points and abdominal circumference predicted the CT SAT-to-muscle ratio in the LASSO model (R2 = 0.70; cross-validated R2 = 0.63; p values are not reported in LASSO regression and R2 is used instead). The upper-arm anterolateral ultrasound site most strongly influenced the CT SAT-to-muscle ratio (estimate × standard deviation of predictor: 0.24). Conclusions: The CT SAT-to-muscle ratio at the L3 level can be predicted non-invasively using bedside ultrasound, particularly at the anterolateral measuring point of the upper arm. Bedside ultrasound assessment of the ratio of subcutaneous adipose tissue to muscle on the anterolateral upper arm provides a within-patient comparison of body compartments.