Auke C. Reidinga

ORCID: 0000-0001-6420-3649
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About
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Research Areas
  • COVID-19 Clinical Research Studies
  • Sepsis Diagnosis and Treatment
  • COVID-19 and healthcare impacts
  • Respiratory Support and Mechanisms
  • Long-Term Effects of COVID-19
  • Intensive Care Unit Cognitive Disorders
  • Machine Learning in Healthcare
  • Nosocomial Infections in ICU
  • COVID-19 diagnosis using AI
  • Antibiotic Use and Resistance
  • Emergency and Acute Care Studies
  • Atrial Fibrillation Management and Outcomes
  • Family and Patient Care in Intensive Care Units
  • Venous Thromboembolism Diagnosis and Management
  • Cardiac, Anesthesia and Surgical Outcomes
  • Disaster Response and Management
  • Acute Ischemic Stroke Management
  • Chronic Disease Management Strategies
  • Pancreatitis Pathology and Treatment
  • Burn Injury Management and Outcomes
  • Neurosurgical Procedures and Complications
  • Takotsubo Cardiomyopathy and Associated Phenomena
  • Advanced Causal Inference Techniques
  • Pressure Ulcer Prevention and Management
  • Cardiac Structural Anomalies and Repair

Martini Ziekenhuis
2016-2024

Amsterdam University Medical Centers
2023

Leiden University Medical Center
2020

Hersenstichting
2015

Abstract Background To assess trends in the quality of care for COVID-19 patients at ICU over course time Netherlands. Methods Data from National Intensive Care Evaluation (NICE)-registry all admitted to an Netherlands were used. Patient characteristics and indicators during first two upsurges (N = 4215: October 5, 2020–January 31, 2021) final upsurge second wave, called ‘third wave’ 4602: February 1, 2021–June 30, compared with those wave 2733, February–May 24, 2020). Results During third...

10.1186/s13613-021-00978-3 article EN cc-by Annals of Intensive Care 2022-01-13

Abstract Background Previously, we reported a decreased mortality rate among patients with COVID-19 who were admitted at the ICU during final upsurge of second wave (February–June 2021) in Netherlands. We examined whether this decrease persisted third and phases decreasing incidence thereafter brought up to date information on patient characteristics. Methods Data from National Intensive Care Evaluation (NICE)-registry all an Netherlands used. Patient characteristics rates in-hospital (the...

10.1186/s13613-023-01238-2 article EN cc-by Annals of Intensive Care 2024-01-16

Objectives Recent reports suggest a high prevalence of hypertension and diabetes in COVID-19 patients, but the role cardiovascular disease (CVD) risk factors clinical course is unknown. We evaluated time-to-event relationship between hypertension, dyslipidaemia, outcomes. Design analysed data from prospective Dutch CovidPredict cohort, an ongoing study patients admitted for infection. Setting Patients eight participating hospitals, including two university hospitals cohort were included....

10.1136/bmjopen-2020-045482 article EN cc-by-nc-nd BMJ Open 2021-02-01

The Dutch population is ageing and it unknown how this affecting trends in the percentage of hospital intensive care unit (ICU) admissions attributable to patients aged 80 years or older, very elderly.We present data on elderly general elderly. We subsequently performed a longitudinal cross-sectional study ICU from hospitals participating National Intensive Care Evaluation registry for period 2005 2014. modeled adult treatment days separately following cardiac surgery other reasons.The...

10.1186/s13054-015-1061-z article EN cc-by Critical Care 2015-09-30

Abstract Chronic kidney disease (CKD) has been recognized as a highly prevalent risk factor for both the severity of coronavirus 2019 (COVID-19) and COVID-19 associated adverse outcomes. In this multicenter observational cohort study, we aim to determine mortality readmission rates patients hospitalized across varying CKD stages. We performed study among included in Dutch COVIDPredict cohort. The consists from March 2020 until July 2021 with PCR-confirmed SARS-CoV-2 infection or suspected CT...

10.1038/s41598-022-06276-7 article EN cc-by Scientific Reports 2022-02-10

The Coronavirus disease 2019 (COVID-19) pandemic has underlined the urgent need for reliable, multicenter, and full-admission intensive care data to advance our understanding of course investigate potential treatment strategies. In this study, we present Dutch Data Warehouse (DDW), first multicenter electronic health record (EHR) database with from critically ill COVID-19 patients.

10.1186/s13054-021-03733-z article EN cc-by Critical Care 2021-08-23

Validated clinical risk scores are needed to identify patients with COVID-19 at of severe disease and guide triage decision-making during the pandemic. The objective current study was evaluate performance early warning (EWS) in ED when identifying who will require intensive care unit (ICU) admission for high-flow-oxygen usage or mechanical ventilation.Patients a proven SARS-CoV-2 infection complete resuscitate orders treated nine hospitals between 27 February 30 July 2020 needing hospital...

10.1136/emermed-2020-211054 article EN other-oa Emergency Medicine Journal 2021-10-27
Lucas M. Fleuren Tariq A. Dam Michele Tonutti Daan P. de Bruin Robbert C. A. Lalisang and 95 more Diederik Gommers Olaf L. Cremer Rob J. Bosman Sander Rigter Evert‐Jan Wils Tim Frenzel Dave A. Dongelmans Remko de Jong Marco Peters Marlijn J. A. Kamps Dharmanand Ramnarain Ralph Nowitzky Fleur G. C. A. Nooteboom Wouter de Ruijter Louise C. Urlings‐Strop Ellen G. M. Smit D. Jannet Mehagnoul‐Schipper Tom Dormans Cornelis P. C. de Jager Stefaan H. A. Hendriks Sefanja Achterberg Evelien Oostdijk Auke C. Reidinga Barbara Festen‐Spanjer Gert B. Brunnekreef Alexander D. Cornet Walter van den Tempel Age D. Boelens Peter Koetsier Judith Lens Harald J. Faber A. Karakus Robert Entjes Paul de Jong Thijs C. D. Rettig M. Sesmu Arbous Sebastiaan J. J. Vonk Mattia Fornasa Tomas Machado Taco Houwert Hidde Hovenkamp Roberto Noorduijn Londono Davide Quintarelli Martijn G. Scholtemeijer Aletta A. de Beer Giovanni Cinà Adam Kantorik Tom de Ruijter Willem E. Herter Martijn Beudel Armand R. J. Girbes Mark Hoogendoorn Patrick Thoral Paul Elbers Julia Koeter Roger van Rietschote Merijn C. Reuland Laura van Manen Leon J. Montenij Jasper van Bommel Roy van den Berg Ellen van Geest Anisa Hana Bas van den Bogaard Peter Pickkers Pim van der Heiden Claudia van Gemeren Arend Jan Meinders Martha de Bruin Emma Rademaker Frits van Osch Martijn D. de Kruif Nicolas F. Schroten Klaas Sierk Arnold J. W. Fijen Jacomar J. M. van Koesveld Koen S. Simons Joost A. M. Labout Bart van de Gaauw Michaël Kuiper Albertus Beishuizen Dennis Geutjes Johan Lutisan Bart Grady Remko van den Akker Tom A. Rijpstra Wim Boersma Daniël Pretorius Menno Beukema Bram Simons A. A. Rijkeboer Marcel Ariës Niels C. Gritters van den Oever Martijn van Tellingen Annemieke Dijkstra

Determining the optimal timing for extubation can be challenging in intensive care. In this study, we aim to identify predictors failure critically ill patients with COVID-19.We used highly granular data from 3464 adult COVID multicenter Dutch Data Warehouse, including demographics, clinical observations, medications, fluid balance, laboratory values, vital signs, and life support devices. All intubated at least one attempt were eligible analysis. Transferred patients, admitted less than 24...

10.1186/s13054-021-03864-3 article EN cc-by Critical Care 2021-12-01

Objective Develop and validate models that predict mortality of patients diagnosed with COVID-19 admitted to the hospital. Design Retrospective cohort study. Setting A multicentre across 10 Dutch hospitals including from 27 February 8 June 2020. Participants SARS-CoV-2 positive (age ≥18) Main outcome measures 21-day all-cause evaluated by area under receiver operator curve (AUC), sensitivity, specificity, predictive value negative value. The age was explored comparison age-based rules used...

10.1136/bmjopen-2020-047347 article EN cc-by-nc BMJ Open 2021-07-01

Objective To establish whether one can build a mortality prediction model for COVID-19 patients based solely on demographics and comorbidity data that outperforms age alone. Such could be precursor to implementing smart lockdowns vaccine distribution strategies. Methods The training cohort comprised 2337 inpatients from nine hospitals in Netherlands. clinical outcome was death within 21 days of being discharged. features were derived electronic health records collected during admission....

10.1371/journal.pone.0249920 article EN cc-by PLoS ONE 2021-04-15

To compare survival of individuals with coronavirus disease 2019 (COVID-19) treated in hospitals that either did or not routinely treat patients hydroxychloroquine chloroquine. We analysed data COVID-19 nine the Netherlands. Inclusion dates ranged from 27 February to 15 May 2020, when Dutch national guidelines no longer supported use (hydroxy)chloroquine. Seven (hydroxy)chloroquine, two not. Primary outcome was 21-day all-cause mortality. performed a analysis using log-rank test and Cox...

10.1016/j.cmi.2020.10.004 article EN cc-by Clinical Microbiology and Infection 2020-10-14

Inhibition of dipeptidyl peptidase (DPP-)4 could reduce coronavirus disease 2019 (COVID-19) severity by reducing inflammation and enhancing tissue repair beyond glucose lowering. We aimed to assess this in a prospective cohort study.We studied 565 patients with type 2 diabetes the CovidPredict Clinical Course Cohort whether use DPP-4 inhibitor prior hospital admission due COVID-19 was associated improved clinical outcomes. Using crude analyses propensity score matching (on age, sex BMI), 28...

10.1007/s40200-021-00833-z article EN cc-by Journal of Diabetes & Metabolic Disorders 2021-06-26

Objective Critically ill patients admitted to the intensive care unit (ICU) often develop atrial fibrillation (AF), with an incidence of around 5%. Stroke prevention in AF is well described clinical guidelines. The extent which stroke prescribed ICU unknown. We aimed determine new-onset and describe strategies initiated on our teaching hospital. Also, we compared mortality critically previously diagnosed without any AF. Methods This study was a retrospective cohort including all admissions...

10.1136/openhrt-2019-001226 article EN cc-by-nc Open Heart 2020-04-01
Tariq A. Dam Luca F. Roggeveen Fuda van Diggelen Lucas M. Fleuren Ameet R. Jagesar and 95 more Martijn Otten Heder de Vries Diederik Gommers Olaf L. Cremer Rob J. Bosman Sander Rigter Evert‐Jan Wils Tim Frenzel Dave A. Dongelmans Remko de Jong Marco A. A. Peters Marlijn J. A. Kamps Dharmanand Ramnarain Ralph Nowitzky Fleur G. C. A. Nooteboom Wouter de Ruijter Louise C. Urlings‐Strop Ellen G. M. Smit D. Jannet Mehagnoul‐Schipper Tom Dormans Cornelis P. C. de Jager Stefaan H. A. Hendriks Sefanja Achterberg Evelien Oostdijk Auke C. Reidinga Barbara Festen‐Spanjer Gert B. Brunnekreef Alexander D. Cornet Walter van den Tempel Age D. Boelens Peter Koetsier Judith Lens Harald J. Faber A. Karakus Robert Entjes Paul de Jong Thijs C. D. Rettig M. Sesmu Arbous Sebastiaan J. J. Vonk Tomas Machado Willem E. Herter Harm‐Jan de Grooth Patrick Thoral Armand R. J. Girbes Mark Hoogendoorn Paul Elbers Julia Koeter Roger van Rietschote Merijn C. Reuland Laura van Manen Leon J. Montenij Jasper van Bommel Roy van den Berg Ellen van Geest Anisa Hana Bas van den Bogaard Peter Pickkers Pim van der Heiden Claudia van Gemeren Arend Jan Meinders Martha de Bruin Emma Rademaker Frits van Osch Martijn D. de Kruif Nicolas F. Schroten Klaas Sierk Arnold J. W. Fijen Jacomar J. M. van Koesveld Koen S. Simons Joost A. M. Labout Bart van de Gaauw Michaël Kuiper Albertus Beishuizen Dennis Geutjes Johan Lutisan Bart Grady Remko van den Akker Tom A. Rijpstra Wim Boersma Daniël Pretorius Menno Beukema Bram Simons A. A. Rijkeboer Marcel Ariës Niels C. Gritters van den Oever Martijn van Tellingen Annemieke Dijkstra Rutger van Raalte Ali el Hassouni David Romero Guzman Sandjai Bhulai Dagmar M. Ouweneel Ronald H. Driessen Jan M. Peppink G. J. Zijlstra

For mechanically ventilated critically ill COVID-19 patients, prone positioning has quickly become an important treatment strategy, however, is labor intensive and comes with potential adverse effects. Therefore, identifying which intubated patients will benefit may help allocate resources. From the multi-center Dutch Data Warehouse of ICU from 25 hospitals, we selected all 3619 episodes in 1142 invasively patients. We excluded longer than 24 h. Berlin ARDS criteria were not formally...

10.1186/s13613-022-01070-0 article EN cc-by Annals of Intensive Care 2022-10-20

Regional anesthesia is gaining popularity with anesthesiologists as it offers superb postoperative analgesia. However, the sole anesthetic technique in high-risk patients whom general not preferred, some regional possibilities may be easily overlooked. By presenting two cases of very old considerable comorbidities, we would like to bring mental nerve field block under renewed attention a safe alternative and achieve broader application this simple block.Two male (84 91 years) both presented...

10.2147/lra.s63246 article EN cc-by-nc Local and Regional Anesthesia 2015-05-01

To assess, validate and compare the predictive performance of models for in-hospital mortality COVID-19 patients admitted to intensive care unit (ICU) over two different waves infections. Our were built with high-granular Electronic Health Records (EHR) data versus less-granular registry data. Observational study all 19 Dutch ICUs participating in both national quality National Intensive Care Evaluation (NICE) EHR-based Data Warehouse (hereafter EHR). Multiple developed on from first 24 h...

10.1016/j.ijmedinf.2022.104863 article EN cc-by International Journal of Medical Informatics 2022-09-22
Lucas M. Fleuren Michele Tonutti Daan P. de Bruin Robbert C. A. Lalisang Tariq A. Dam and 95 more Diederik Gommers Olaf L. Cremer Rob J. Bosman Sebastiaan J. J. Vonk Mattia Fornasa Tomas Machado Nardo J. M. van der Meer Sander Rigter Evert‐Jan Wils Tim Frenzel Dave A. Dongelmans Remko de Jong Marco Peters Marlijn J. A. Kamps Dharmanand Ramnarain Ralph Nowitzky Fleur G. C. A. Nooteboom Wouter de Ruijter Louise C. Urlings‐Strop Ellen G. M. Smit D. Jannet Mehagnoul‐Schipper Tom Dormans Cornelis P. C. de Jager Stefaan H. A. Hendriks Evelien Oostdijk Auke C. Reidinga Barbara Festen‐Spanjer Gert B. Brunnekreef Alexander D. Cornet Walter van den Tempel Age D. Boelens Peter Koetsier Judith Lens Sefanja Achterberg Harald J. Faber Ali Karakuş Menno Beukema Robert Entjes Paul de Jong Taco Houwert Hidde Hovenkamp Roberto Noorduijn Londono Davide Quintarelli Martijn G. Scholtemeijer Aletta A. de Beer Giovanni Cinà Martijn Beudel N. F. de Keizer Mark Hoogendoorn Armand R. J. Girbes Willem E. Herter Paul Elbers Patrick Thoral Thijs C. D. Rettig Merijn C. Reuland Laura van Manen Leon J. Montenij Jasper van Bommel Roy van den Berg Ellen van Geest Anisa Hana Wim Boersma Bas van den Bogaard Peter Pickkers Pim van der Heiden Claudia C. W. van Gemeren Arend Jan Meinders Martha de Bruin Emma Rademaker Frits van Osch Martijn D. de Kruif Nicolas F. Schroten Klaas Sierk Arnold J. W. Fijen Jacomar J. M. van Koesveld Koen S. Simons Joost A. M. Labout Bart van de Gaauw Michaël Kuiper Albertus Beishuizen Dennis Geutjes Johan Lutisan Bart Grady Remko van den Akker Bram Simons A. A. Rijkeboer M. Sesmu Arbous Marcel Ariës Niels C. Gritters van den Oever Martijn van Tellingen Annemieke Dijkstra Rutger van Raalte Luca F. Roggeveen Fuda van Diggelen Ali el Hassouni

Abstract Background The identification of risk factors for adverse outcomes and prolonged intensive care unit (ICU) stay in COVID-19 patients is essential prognostication, determining treatment intensity, resource allocation. Previous studies have determined on admission only, included a limited number predictors. Therefore, using data from the highly granular multicenter Dutch Data Warehouse, we developed machine learning models to identify ICU mortality, ventilator-free days ICU-free...

10.1186/s40635-021-00397-5 article EN cc-by Intensive Care Medicine Experimental 2021-06-27

Background: Aims of this study were to investigate the prevalence and incidence catheter-related infection, identify risk factors, determine relation infection with mortality in critically ill COVID-19 patients. Methods: This was a retrospective cohort central venous catheters (CVCs) Eligible CVC insertions required an indwelling time at least 48 hours identified using full-admission electronic health record database. Risk factors logistic regression. Differences survival rates day 28...

10.1097/shk.0000000000001994 article EN Shock 2022-09-08

Objectives The aim of this multicentre COVID-PREDICT study (a nationwide observational cohort that aims to better understand clinical course COVID-19 and predict which patients should receive treatment type care) was determine the association between atrial fibrillation (AF) mortality, intensive care unit (ICU) admission, complications discharge destination in hospitalised patients. Setting Data from a historical eight hospitals (both academic non-academic) Netherlands January 2020 July 2021...

10.1136/bmjopen-2022-071137 article EN cc-by-nc-nd BMJ Open 2023-12-01
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