3 results on '"Vink MA"'
Search Results
2. Targeted Temperature Management in Out-of-Hospital Cardiac Arrest With Shockable Rhythm: A Post Hoc Analysis of the Coronary Angiography After Cardiac Arrest Trial.
- Author
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Spoormans EM, Lemkes JS, Janssens GN, van der Hoeven NW, Jewbali LSD, Dubois EA, Meuwissen M, Rijpstra TA, Bosker HA, Blans MJ, Bleeker GB, Baak R, Vlachojannis GJ, Eikemans BJW, Girbes ARJ, van der Harst P, van der Horst ICC, Voskuil M, van der Heijden JJ, Beishuizen A, Stoel M, Camaro C, van der Hoeven H, Henriques JP, Vlaar APJ, Vink MA, van den Bogaard B, Heestermans TACM, de Ruijter W, Delnoij TSR, Crijns HJGM, Jessurun GAJ, Oemrawsingh PV, Gosselink MTM, Plomp K, Magro M, van de Ven PM, van Royen N, and Elbers PWG
- Subjects
- Aged, Coronary Angiography statistics & numerical data, Female, Humans, Hypothermia, Induced methods, Hypothermia, Induced statistics & numerical data, Male, Middle Aged, Netherlands, Out-of-Hospital Cardiac Arrest epidemiology, Resuscitation methods, Resuscitation statistics & numerical data, Treatment Outcome, Coronary Angiography methods, Electric Countershock statistics & numerical data, Hypothermia, Induced standards, Out-of-Hospital Cardiac Arrest therapy
- Abstract
Objectives: The optimal targeted temperature in patients with shockable rhythm is unclear, and current guidelines recommend targeted temperature management with a correspondingly wide range between 32°C and 36°C. Our aim was to study survival and neurologic outcome associated with targeted temperature management strategy in postarrest patients with initial shockable rhythm., Design: Observational substudy of the Coronary Angiography after Cardiac Arrest without ST-segment Elevation trial., Setting: Nineteen hospitals in The Netherlands., Patients: The Coronary Angiography after Cardiac Arrest trial randomized successfully resuscitated patients with shockable rhythm and absence of ST-segment elevation to a strategy of immediate or delayed coronary angiography. In this substudy, 459 patients treated with mild therapeutic hypothermia (32.0-34.0°C) or targeted normothermia (36.0-37.0°C) were included. Allocation to targeted temperature management strategy was at the discretion of the physician., Interventions: None., Measurements and Main Results: After 90 days, 171 patients (63.6%) in the mild therapeutic hypothermia group and 129 (67.9%) in the targeted normothermia group were alive (hazard ratio, 0.86 [95% CI, 0.62-1.18]; log-rank p = 0.35; adjusted odds ratio, 0.89; 95% CI, 0.45-1.72). Patients in the mild therapeutic hypothermia group had longer ICU stay (4 d [3-7 d] vs 3 d [2-5 d]; ratio of geometric means, 1.32; 95% CI, 1.15-1.51), lower blood pressures, higher lactate levels, and increased need for inotropic support. Cerebral Performance Category scores at ICU discharge and 90-day follow-up and patient-reported Mental and Physical Health Scores at 1 year were similar in the two groups., Conclusions: In the context of out-of-hospital cardiac arrest with shockable rhythm and no ST-elevation, treatment with mild therapeutic hypothermia was not associated with improved 90-day survival compared with targeted normothermia. Neurologic outcomes at 90 days as well as patient-reported Mental and Physical Health Scores at 1 year did not differ between the groups., Competing Interests: Dr. Lemkes received funding from The Netherlands Heart Institute (NHLI) and Biotronik. Drs. Lemkes and Vlachojannis received funding from AstraZeneca. Dr. Rijpstra’s institution received funding from Principle Investigator. Dr. Vlachojannis’ institution received funding from MicroPort and Daiichi Sankyo; he received funding from Abbott. Dr. Vlachojannis reports receiving grant support from MicroPort Orthopedics and Daiichi Sankyo. Dr. van Royen’s institution received funding from Biotronik, AstraZeneca, the NHLI, Abbott, and Medtronic; he received funding from Novartis, MicroPort, Castor, Rainmed, Biotronik, Abbott, Medtronic, and Philips; he received support for article research from the NLHI. The remaining authors have disclosed that they do not have any potential conflicts of interest., (Copyright © 2021 by the Society of Critical Care Medicine and Wolters Kluwer Health, Inc. All Rights Reserved.)
- Published
- 2022
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3. Estimating seroprevalence of human papillomavirus type 16 using a mixture model with smoothed age-dependent mixing proportions.
- Author
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Vink MA, van de Kassteele J, Wallinga J, Teunis PF, and Bogaards JA
- Subjects
- Adolescent, Adult, Age Factors, Aged, Child, Child, Preschool, Female, Humans, Infant, Infant, Newborn, Male, Middle Aged, Netherlands epidemiology, Papillomavirus Infections immunology, Seroepidemiologic Studies, Sex Factors, Young Adult, Antibodies, Viral immunology, Human papillomavirus 16 immunology, Papillomavirus Infections epidemiology
- Abstract
Background: The presence in serum of antibodies to viral antigens is generally considered a well-defined marker of past infection or vaccination. However, analyses of serological data that use a cut-off value to classify individuals as seropositive are prone to misclassification bias, in particular when studying infections with a weak serological response, such as the sexually transmitted human papillomavirus (HPV)., Methods: We analyzed the serological concentrations of HPV type 16 (HPV16) antibodies in the general Dutch population in 2006-2007, before the introduction of mass vaccination against HPV. We used a 2-component mixture model to represent persons who were seronegative or seropositive for HPV16. Component densities were assumed to be log-normally distributed, with parameters possibly dependent on sex. The age-dependent mixing proportions were smoothed using penalized splines to obtain a flexible seroprevalence profile., Results: Our results suggest that HPV16 seropositivity is associated with higher antibody concentrations in women as compared with men. Seroprevalence shows an increase starting from adolescence in men and women alike, coinciding with the age of sexual debut. Seroprevalence stabilizes in men around age 40, whereas it has a decreasing trend from age 50 onwards in women. Analyses that rely on a cut-off value to classify persons as seropositive yield substantially different seroprevalence profiles, leading to a qualitatively different interpretation of HPV16 infection dynamics., Conclusions: Our results provide a benchmark for examining the effect of HPV16 vaccination in future serological surveys. Our method may prove useful for estimating seroprevalence of other infections with a weak serological response.
- Published
- 2015
- Full Text
- View/download PDF
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