Christopher Martin Sauer

Christopher Martin Sauer
Vrije Universiteit Amsterdam | VU · Department of Adult Intensive Care

M.D. M.P.H.
PhD Student at VUmc, MD at West German Cancer Center

About

24
Publications
1,687
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148
Citations
Introduction
Dedicated and enthusiastic clinician-scientist focusing on advanced analytics and real-world evidence to improve outcomes of inpatients. Experienced medical consultant.
Additional affiliations
August 2020 - present
AmsterdamUMC
Position
  • PhD Student
Description
  • PhD student with a focus on machine learning to study and improve real-world patient outcomes
August 2017 - June 2018
Harvard University
Position
  • Master's Student
Education
August 2017 - May 2018
Harvard University
Field of study
  • Epidemiology and Biostatistics
September 2011 - July 2017
Maastricht University
Field of study
  • Medicine

Publications

Publications (24)
Article
Objective: As data science and artificial intelligence continue to rapidly gain traction, the publication of freely available ICU datasets has become invaluable to propel data-driven clinical research. In this guide for clinicians and researchers, we aim to: 1) systematically search and identify all publicly available adult clinical ICU datasets,...
Preprint
Full-text available
Background: Whether or not a survival difference exists between radical and partial nephrectomy for stage T1 renal cell carcinoma (RCC) is controversial. We therefore aimed to evaluate cancer-specific, other cause, and overall survival among patients undergoing radical or partial nephrectomy for stage pT1 RCC. Materials and methods: We identified 3...
Article
Full-text available
While serum lactate level is a predictor of poor clinical outcomes among critically ill patients with sepsis, many have normal serum lactate. A better understanding of this discordance may help differentiate sepsis phenotypes and offer clues to sepsis pathophysiology. Three intensive care unit datasets were utilized. Adult sepsis patients in the hi...
Article
Full-text available
Patients admitted to the intensive care unit frequently have anemia and impaired renal function, but often lack historical blood results to contextualize the acuteness of these findings. Using data available within two hours of ICU admission, we developed machine learning models that accurately (AUC 0.86–0.89) classify an individual patient’s basel...
Article
Full-text available
Background Tuberculosis is a major cause of morbidity and mortality in the developing world. Drug resistance, which is predicted to rise in many countries worldwide, threatens tuberculosis treatment and control. Objective To identify features associated with treatment failure and to predict which patients are at highest risk of treatment failure....
Data
Comparison of patient characteristics in the training and testing subset. IQR: interquartile range. (DOCX)
Data
Predicted (A) and smoothed (B) AUC for the different models in the imputed dataset. (TIF)
Data
Comparison of prediction performance of the different models in the imputed dataset. Predictive performance is higher than in the complete cases analysis (Table 3). AUC: Area under the receiver-operator curve, PPV: Positive predictive value, NPV: Negative predictive value, LASSO: Least absolute shrinkage and selection operator, SVM: Support vector...
Article
Full-text available
Merkel cell carcinoma (MCC) is a highly aggressive non-melanoma skin cancer of the elderly which is associated with the Merkel cell polyomavirus (MCPyV). MCC reveals a trilinear differentiation characterized by neuroendocrine, epithelial and pre/pro B-cell lymphocytic gene expression disguising the cellular origin of MCC. Here we investigated the e...
Data
Blast of MKL-2 REST sequence. NCBI blast has revealed the identity of the truncated REST sequence which was detected in SCLC (A). The exons of the non-truncated and truncated splice variant are shown (B).
Data
Summary of the IHC analysis for REST, ASCL1 and NeuroD1 in MCC cell lines and the B-ALL cell line REH, pos.= positive, neg.= negative, - = no expression, + = weak expression, ++ = moderate expression, +++ = strong expression
Data
Expression of chromogranin A and synaptophysin in WaGa cells as assessed by immunofluorescence. WaGa nuclei are shown with DAPI (blue). The specific cytoplasmic expression of chromogranin A and synaptophysin is reflected by red fluorescence. The merged picture reveals in all cells a strong expression of chromogranin A or synaptophysin. The micropho...
Data
MCPyV expression level in all used cell lines. The expression of MCPyV sT and LT were analyzed by means of a qRT-PCR. The cq values were normalized to MKL-1 and the sd of n=2 is shown. The MCPyV-positive MCC cell lines reveal a different expression pattern of MCPyV T antigens whereas the distribution of LT and sT is comparable (A). In addition, the...
Article
Full-text available
Purpose Cancer patients are at increased risk of treatment- or disease-related admission to the intensive care unit [1]. Over the past decades, both critical care and cancer care have improved substantially. Due to increased cancer-specific survival [2], we hypothesized that the number of cancer patients admitted to the intensive care unit (ICU) an...
Article
Full-text available
Over the past decades, both critical care and cancer care have improved substantially. Due to increased cancer-specific survival, we hypothesized that both the number of cancer patients admitted to the ICU and overall survival have increased since the millennium change. MIMIC-III, a freely accessible critical care database of Beth Israel Deaconess...
Preprint
Over the past decades, both critical care and cancer care have improved substantially. Due to increased cancer-specific survival, we hypothesized that both the number of cancer patients admitted to the ICU and overall survival have increased since the millennium change. MIMIC-III, a freely accessible critical care database of Beth Israel Deaconess...
Article
Introduction Merkel cell carcinoma (MCC) is a highly aggressive skin cancer of the elderly and immunosuppressed patients. More than 80% of MCCs are associated with the recently identified Merkel cell polyomavirus (MCPyV). MCCs reveal a trilinear differentiation characterized by neuroendocrine (chromogranin A and synapthophysin), epithelial (e.g. CK...
Article
Full-text available
Merkel cell carcinoma (MCC) is a highly malignant skin cancer characterized by early metastases and poor survival. Although MCC is a rare malignancy, its incidence is rapidly increasing in the U.S. and Europe. The discovery of the Merkel cell polyomavirus (MCPyV) has enormously impacted our understanding of its etiopathogenesis and biology. MCCs ar...
Article
Full-text available
Merkel cell carcinoma (MCC) is a relatively rare but highly malignant non-melanoma skin cancer of the elderly and immunosuppressed patients. The discovery of the Merkel cell polyomavirus (MCPyV) in 2008 significantly impacted the understanding of the etiopathogenesis of MCC. MCPyV is clonally integrated into the MCC genome and approximately 80% of...
Article
Large B-cell lymphomas (LBCL) exhibit multiple genetic alterations, often in specific combinations. However, little is known about the biologic consequences of these concurrent genetic features. We recently characterized the comprehensive molecular signatures of two LBCL subtypes that exclusively involve extranodal disease sites, primary central ne...

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Projects

Projects (2)
Project
Analyzing longitudinal trends in patient characteristics and outcomes of cancer patients admitted to the ICU (HST.953, MIT).