Jeroen Hermanides

Jeroen Hermanides

orcid

Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

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

Representative Publications

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1 March 2010 in Critical Care Medicine
Verified
Journal Article
Closed access
JHJeroen Hermanides
Jeroen Hermanides
TVTitia M. Vriesendorp
Titia M. Vriesendorp
RBRobert J. Bosman
Robert J. Bosman
DZDurk F. Zandstra
Durk F. Zandstra
JHJoost B. Hoekstra
Joost B. Hoekstra
JDJ. Hans DeVries
J. Hans DeVries
Mounting evidence suggests a role for glucose variability in predicting intensive care unit (ICU) mortality. We investigated the association between glucose variability and intensive care unit and in-hospital deaths across several ranges of mean glucose. Retrospective cohort study. An 18-bed medical/surgical ICU in a teaching hospital. All patients admitted to the ICU from January 2004 through December 2007. None. Two measures of variability, mean absolute glucose change per hour and sd, were calculated as measures of glucose variability from 5728 patients and were related to ICU and in-hospital death using logistic regression analysis. Mortality rates and adjusted odds ratios for ICU death per mean absolute glucose change per hour quartile across quartiles of mean glucose were calculated. Patients were treated with a computerized insulin algorithm (target glucose 72-126 mg/dL). Mean age was 65 +/- 13 yrs, 34% were female, and 6.3% of patients died in the ICU. The odds ratios for ICU death were higher for quartiles of mean absolute glucose change per hour compared with quartiles of mean glucose or sd. The highest odds ratio for ICU death was found in patients with the highest mean absolute glucose change per hour in the upper glucose quartile: odds ratio 12.4 (95% confidence interval, 3.2-47.9; p < .001). Mortality rates were lowest in the lowest mean absolute glucose change per hour quartiles. High glucose variability is firmly associated with ICU and in-hospital death. High glucose variability combined with high mean glucose values is associated with highest ICU mortality. In patients treated with strict glycemic control, low glucose variability seemed protective, even when mean glucose levels remained elevated.

26 June 2012 in British Journal of Anaesthesia
Verified
Journal Article
Open access
PDF file
JHJeroen Hermanides
Jeroen Hermanides
MHMarkus W. Hollmann
Markus W. Hollmann
MSMarkus F. Stevens
Markus F. Stevens
PLP. Lirk
P. Lirk
Failed epidural anaesthesia or analgesia is more frequent than generally recognized. We review the factors known to influence the success rate of epidural anaesthesia. Reasons for an inadequate epidural block include incorrect primary placement, secondary migration of a catheter after correct placement, and suboptimal dosing of local anaesthetic drugs. For catheter placement, the loss of resistance using saline has become the most widely used method. Patient positioning, the use of a midline or paramedian approach, and the method used for catheter fixation can all influence the success rate. When using equipotent doses, the difference in clinical effect between bupivacaine and the newer isoforms levobupivacaine and ropivacaine appears minimal. With continuous infusion, dose is the primary determinant of epidural anaesthesia quality, with volume and concentration playing a lesser role. Addition of adjuvants, especially opioids and epinephrine, may substantially increase the success rate of epidural analgesia. Adjuvant opioids may have a spinal or supraspinal action. The use of patient-controlled epidural analgesia with background infusion appears to be the best method for postoperative analgesia.

1 February 2019 in The Lancet Respiratory Medicine
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Journal Article
Closed access
EKEva Kirmeier
Eva Kirmeier
LELars I Eriksson
Lars I Eriksson
HLHeidrun Lewald
Heidrun Lewald
MFMalin Jonsson Fagerlund
Malin Jonsson Fagerlund
AHAndreas Hoeft
Andreas Hoeft
DZDarja Zupanĕiĕ
Darja Zupanĕiĕ

1 August 2010 in Journal of Thrombosis and Haemostasis
Verified
Journal Article
Closed access
PDF file
BLB. A. Lemkes
B. A. Lemkes
JHJeroen Hermanides
Jeroen Hermanides
JDJ. H. Devries
J. H. Devries
FHF. Holleman
F. Holleman
JMJ. C. M. Meijers
J. C. M. Meijers
JHJ. B. L. Hoekstra
J. B. L. Hoekstra

Verified
Journal Article
Open access
PDF file
XLXiaoling Li
Xiaoling Li
NHNina Hauck-Weber
Nina Hauck-Weber
DCDanny M. Cohn
Danny M. Cohn
MHMarkus W. Hollmann
Markus W. Hollmann
JDJ. Hans DeVries
J. Hans DeVries
Benedikt PreckelBenedikt Preckel
Benedikt Preckel
In patients with diabetes, metabolic disorders disturb the physiological balance of coagulation and fibrinolysis, leading to a prothrombotic state characterized by platelet hypersensitivity, coagulation disorders and hypofibrinolysis. Hyperglycemia and insulin resistance cause changes in platelet number and activation, as well as qualitative and/or quantitative modifications of coagulatory and fibrinolytic factors, resulting in the formation of fibrinolysis-resistant clots in patients with diabetes. Other coexisting factors like hypoglycemia, obesity and dyslipidemia also contribute to coagulation disorders in patients with diabetes. Management of the prothrombotic state includes antiplatelet and anticoagulation therapies for diabetes patients with either a history of cardiovascular disease or prone to a higher risk of thrombus generation, but current guidelines lack recommendations on the optimal antithrombotic treatment for these patients. Metabolic optimizations like glucose control, lipid-lowering, and weight loss also improve coagulation disorders of diabetes patients. Intriguing, glucose-lowering drugs, especially cardiovascular beneficial agents, such as glucagon-like peptide-1 receptor agonists and sodium glucose co-transporter inhibitors, have been shown to exert direct anticoagulation effects in patients with diabetes. This review focuses on the most recent progress in the development and management of diabetes related prothrombotic state.

1 June 2010 in Critical Care Medicine
Verified
Journal Article
Closed access
JHJeroen Hermanides
Jeroen Hermanides
RBRobert J. Bosman
Robert J. Bosman
TVTitia M. Vriesendorp
Titia M. Vriesendorp
RDRon Msc Dotsch
Ron Msc Dotsch
FRFrits R. Rosendaal
Frits R. Rosendaal
JDJ. Hans DeVries
J. Hans DeVries
Objective: The implementation of intensive insulin therapy in the intensive care unit is accompanied by an increase in hypoglycemia. We studied the relation between hypoglycemia on intensive care unit mortality, because the evidence on this subject is conflicting. Design: Retrospective database cohort study. Setting: An 18-bed medical/surgical intensive care unit in a teaching hospital (Onze Lieve Vrouwe Gasthuis Hospital, Amsterdam, The Netherlands). Patients: A total of 5961 patients admitted to from 2004 to 2007 were analyzed. Readmissions and patients with a withholding care policy or with hypoglycemia on the first glucose measurement were excluded. Patients were treated with a computerized insulin algorithm (target glucose range, 72-126 mg/dL). Interventions: None. Measurements and Main Results: All first episodes of hypoglycemia (glucose ≤45 mg/dL) were derived from 154,015 glucose values. Using Poisson regression, the incidence rates for intensive care unit death and incidence rate ratio comparing exposure and nonexposure to hypoglycemia were calculated. Patients were considered to be exposed to hypoglycemia from the event until the end of intensive care unit admittance. We corrected for severity of disease using the daily Sequential Organ Failure Assessment score. Age, sex, cardiothoracic surgery, sepsis, and diabetes mellitus were also included as possible confounders. Two hundred eighty-eight (4.8%) patients experienced at least one episode of hypoglycemia. Median age was 68 yrs (range, 58-75 yrs), 66% were male, and 6.4% died in the intensive care unit. The incidence rate of death in patients exposed to hypoglycemia was 40 per 1000 intensive care unit days compared with 17 per 1000 intensive care unit days in patients without exposure. The adjusted incidence rate ratio for intensive care unit death was 2.1 (95% confidence interval, 1.6-2.8; p < .001). Conclusions: Hypoglycemia is related to intensive care unit mortality, also when adjusted for a daily adjudicated measure of disease severity, indicating the possibility of a causal relationship.