Explanipedia

A causal inference framework to compare the effectiveness of life‐sustaining <span>ICU</span> therapies—using the example of cancer patients with sepsis Open

João Matos, Tristan Struja, Naira Link Woite, David Restrepo, Andre Kurepa Waschka , et al. · 2025

The rise in cancer patients could lead to an increase in intensive care units ( ICUs ) admissions. We explored differences in treatment practices and outcomes of invasive therapies between patients with sepsis with and without cancer. Adul…

Sharing is caring: A systematic review of publicly available intensive care data sets Open

Ameet R. Jagesar, Tariq A. Dam, Tristan Struja, Christopher Martin Sauer, Martine Otten , et al. · 2025

Each public ICU data set differs due to differences in medical practice, information technologies and approach to legal restrictions. This systematic review provides clinicians and data scientists with an overview of available public ICU d…

Potential source of bias in AI models: lactate measurement in the ICU in sepsis patients as a template Open

Pratiksha Pradhan, Fredrik Willumsen Haug, Nebal Abu Hussein, Dana Moukheiber, Lama Moukheiber , et al. · 2025

Objective Health inequities may be driven by demographics such as sex, language proficiency, and race-ethnicity. These disparities may manifest through likelihood of testing, which in turn can bias artificial intelligence models. We aimed …

Major Adverse Cardiac Events After Gastric Bypass vs Sleeve Gastrectomy Open

Simone Wildisen, Rahel Laager, Tristan Struja, Alessia Wildisen, Beat Müeller , et al. · 2025

Importance Metabolic bariatric surgery is the most effective and durable treatment for weight loss and improvement of cardiovascular diseases. With sleeve gastrectomy now surpassing gastric bypass as the most common procedure worldwide, co…

Potential source of bias in AI models: Lactate measurement in the ICU as a template Open

Nebal Abu Hussein, Pratiksha Pradhan, Fredrik Willumsen Haug, Dana Moukheiber, Lama Moukheiber , et al. · 2025

Step-by-step causal analysis of EHRs to ground decision-making Open

Matthieu Doutreligne, Tristan Struja, J. Abécassis, Claire Morgand, Leo Anthony Celi , et al. · 2025

Causal inference enables machine learning methods to estimate treatment effects of medical interventions from electronic health records (EHRs). The prevalence of such observational data and the difficulty for randomized controlled trials (…

Trends in antidiabetes medication use among hospitalised patients with type 2 diabetes: a retrospective single-centre cohort study Open

N Meier, Rahel Laager, Claudia Gregoriano, Philipp Schütz, Beat Müeller , et al. · 2024

Objectives Novel antidiabetes medications with proven cardiovascular or renal benefit, such as sodium-glucose cotransporter-2 inhibitors (SGLT-2i) and glucagon-like peptide 1 receptor agonists (GLP-1 RA), have been introduced to the market…

BOLD: Blood-gas and Oximetry Linked Dataset Open

João Matos, Tristan Struja, Jack Gallifant, Luis Filipe Nakayama, Marie‐Laure Charpignon , et al. · 2024

Variation in monitoring: Glucose measurement in the ICU as a case study to preempt spurious correlations Open

Khushboo Teotia, Yueran Jia, Naira Link Woite, Leo Anthony Celi, João Matos , et al. · 2024

Treatment of glucocorticoid- induced hyperglycemia in hospitalized patients - a systematic review and meta- analysis Open

Tristan Struja, Neele Nitritz, Islay Alexander, Kevin Kupferschmid, Jason F. Hafner , et al. · 2024

Análise de como os componentes do escore SOFA variam ao longo do tempo em sua contribuição para a mortalidade Open

Barbara D. Lam, Tristan Struja, Yanran Li, João Matos, Z. C. Chen , et al. · 2024

RESUMO Objetivo: Determinar como cada componente de órgão do escore SOFA difere em sua contribuição no risco de mortalidade e como essa contribuição pode variar ao longo do tempo. Métodos: Realizamos uma análise de regressão logística mult…

Analyzing how the components of the SOFA score change over time in their contribution to mortality Open

Barbara D. Lam, Tristan Struja, Yanran Li, João Matos, Z. C. Chen , et al. · 2024

Objective: Determine how each organ component of the SOFA score differs in its contribution to mortality risk and how that contribution may change over time. Methods: We performed multivariate logistic regression analysis to assess the con…

Variation in monitoring: Glucose measurement in the ICU as a case study to preempt spurious correlations Open

Khushboo Teotia, Yueran Jia, Naira Link Woite, Leo Anthony Celi, João Matos , et al. · 2023

Objective Health inequities can be influenced by demographic factors such as race and ethnicity, proficiency in English, and biological sex. Disparities may manifest as differential likelihood of testing which correlates directly with the …

Evaluating equitable care in the ICU: Creating a causal inference framework to assess the impact of life-sustaining interventions across racial and ethnic groups Open

Tristan Struja, João Matos, Barbara D. Lam, Yiren Cao, Xiaoli Liu , et al. · 2023

Background Variability in the provision of intensive care unit (ICU)-interventions may lead to disparities between socially defined racial-ethnic groups. Research Question We used causal inference to examine the use of invasive mechanical …

BOLD: Blood-gas and Oximetry Linked Dataset – Open Source Research Open

João Matos, Tristan Struja, Jack Gallifant, Luis Filipe Nakayama, Marie‐Laure Charpignon , et al. · 2023

Pulse oximeters measure peripheral arterial oxygen saturation (SpO 2 ) noninvasively, while the gold standard (SaO 2 ) involves arterial blood gas measurement. There are known racial and ethnic disparities in their performance. BOLD is a n…

Barakat syndrome diagnosed decades after initial presentation Open

Umberto Spennato, Jennifer Siegwart, Britta Hartmann, E Fischer, Cecilia Bracco , et al. · 2023

Summary Barakat syndrome, also called HDR syndrome, is a rare genetic disorder encompassing hypoparathyroidism (H), sensorineural deafness (D) and renal disease (R). A 64-year-old woman was referred to our endocrinology clinic for a switch…

Racial Disparities in Invasive ICU Treatments Among Septic Patients:High Resolution Electronic Health Records Analysis fromMIMIC-IV Open

Sara Mohammed, João Matos, Matthieu Doutreligne, Leo Anthony Celi, Tristan Struja · 2023

Background: Low-resolution administrative databases can give biased results, whereas high-resolution, time-stamped variables from clinical databases like MIMIC-IV might provide nuanced insights. We evaluated racial-ethnic disparitie…

Step-by-step causal analysis of Electronic Health Records to ground decision making Open

Matthieu Doutreligne, Tristan Struja, J. Abécassis, Claire Morgand, Gaël Varoquaux , et al. · 2023

Accurate predictions, as with machine learning, may not suffice to provide optimal healthcare for every patient. Indeed, prediction can be driven by shortcuts in the data, such as racial biases. Causal thinking is needed for data-driven de…

Causal thinking for decision making on Electronic Health Records: why and how Open

Matthieu Doutreligne, Tristan Struja, J. Abécassis, Claire Morgand, Leo Anthony Celi , et al. · 2023

Accurate predictions, as with machine learning, may not suffice to provide optimal healthcare for every patient. Indeed, prediction can be driven by shortcuts in the data, such as racial biases. Causal thinking is needed for data-driven de…

Prediction of In-Hospital Falls Using NRS, PACD Score and FallRS: A Retrospective Cohort Study Open

Jennifer Siegwart, Umberto Spennato, Nathalie Lerjen, Beat Müeller, Philipp Schüetz , et al. · 2023

Background: Harmful in-hospital falls with subsequent injuries often cause longer stays and subsequently higher costs. Early identification of fall risk may help in establishing preventive strategies. Objective: To assess the predictive ab…

Comparison of Cardiovascular Procedure Rates in Patients With Supplementary vs Basic Insurance in Switzerland Open

Tristan Struja, Flurina Suter, Sabine Rohrmann, Daniel Koch, Beat Müeller , et al. · 2023

Importance Switzerland’s mandatory health insurance provides universal coverage, but residents can opt for supplementary private insurance for nonessential, nonvital amenities. It is debated whether people with supplementary private insura…

Prevalence, Risk Factors and Outcomes Associated with Physical Restraint in Acute Medical Inpatients over 4 Years—A Retrospective Cohort Study Open

Umberto Spennato, Nathalie Lerjen, Jennifer Siegwart, Beat Müeller, Philipp Schüetz , et al. · 2023

Background: Physical restraints are frequently used in acute care hospitals. Their application is associated with negative outcomes, while their intended preventive effect is debated. Objectives: To determine the prevalence of physical res…

Treatment of Glucocorticoid- induced hyperglycemia in hospitalized patients - A Systematic Review and Meta- Analysis Open

Tristan Struja, Neele Nitritz, Islay Alexander, Kevin Kupferschmid, Jason F. Hafner , et al. · 2022

Purpose: Glucocorticoid (GC)-induced hyperglycemia is a frequent issue, however there are no specific guidelines for this diabetes subtype. Although treat-to-target insulin is recommended in general to correct hyperglycemia, it remains unc…

Association of proteomic markers with nutritional risk and response to nutritional support: A secondary pilot study of the EFFORT trial using an untargeted proteomics approach Open

Tristan Struja, Endre Laczkó, Witold Wolski, Ralph Schlapbach, Beat Müeller , et al. · 2022

Glucose control after glucocorticoid administration in hospitalized patients – a retrospective analysis Open

Franzisca Merkofer, Tristan Struja, Neele Delfs, Carlos Spagnuolo, Jason F. Hafner , et al. · 2022

Call, chosen, HA2T2, ANDC: validation of four severity scores in COVID-19 patients Open

Selina Wolfisberg, Claudia Gregoriano, Tristan Struja, Alexander Kutz, Daniel Koch , et al. · 2021

Comparison of characteristics, predictors and outcomes between the first and second COVID-19 waves in a tertiary care centre in Switzerland: an observational analysis Open

Selina Wolfisberg, Claudia Gregoriano, Tristan Struja, Alexander Kutz, Daniel Koch , et al. · 2021

AIM OF THE STUDY To compare admission characteristics, predictors and outcomes of patients with confirmed coronavirus disease 2019 (COVID-19) hospitalised in a tertiary care hospital in Switzerland during the first and second waves of the …

Association of metabolomic markers and response to nutritional support: A secondary analysis of the EFFORT trial using an untargeted metabolomics approach Open

Tristan Struja, Witold Wolski, Ralph Schapbach, Beat Müeller, Endre Laczkó , et al. · 2021

Synchronous pituitary and pineal gland lesions presenting with panhypopituitarism in a patient with widespread colorectal cancer: a case report Open

Tristan Struja, Joël Capraro · 2021

A 60-year-old man presented to our hospital because of febrile neutropenia due to chemotherapy for his metastasized colon cancer. During hospital stay, polyuria and polydipsia were noted. He reported that his thirst had become increasingly…

Outcomes of Hospitalized Patients with Glucocorticoid-Induced Hyperglycemia—A Retrospective Analysis Open

Neele Delfs, Tristan Struja, Sandra Gafner, Thaddaeus Muri, Ciril Baechli , et al. · 2020

Background: Glucocorticoid (GC)-induced hyperglycemia is a frequent side effect in hospitalized patients. Guidelines recommend treat-to-target treatment between 6–10 mmol/L (108–180 mg/dL) with insulin, but data on outcome is scarce. We in…

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